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# Copyright 2015 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
require 'date'
require 'google/apis/core/base_service'
require 'google/apis/core/json_representation'
require 'google/apis/core/hashable'
require 'google/apis/errors'
module Google
module Apis
module SpannerV1
# The request for BeginTransaction.
class BeginTransactionRequest
include Google::Apis::Core::Hashable
# # Transactions
# Each session can have at most one active transaction at a time. After the
# active transaction is completed, the session can immediately be
# re-used for the next transaction. It is not necessary to create a
# new session for each transaction.
# # Transaction Modes
# Cloud Spanner supports three transaction modes:
# 1. Locking read-write. This type of transaction is the only way
# to write data into Cloud Spanner. These transactions rely on
# pessimistic locking and, if necessary, two-phase commit.
# Locking read-write transactions may abort, requiring the
# application to retry.
# 2. Snapshot read-only. This transaction type provides guaranteed
# consistency across several reads, but does not allow
# writes. Snapshot read-only transactions can be configured to
# read at timestamps in the past. Snapshot read-only
# transactions do not need to be committed.
# 3. Partitioned DML. This type of transaction is used to execute
# a single Partitioned DML statement. Partitioned DML partitions
# the key space and runs the DML statement over each partition
# in parallel using separate, internal transactions that commit
# independently. Partitioned DML transactions do not need to be
# committed.
# For transactions that only read, snapshot read-only transactions
# provide simpler semantics and are almost always faster. In
# particular, read-only transactions do not take locks, so they do
# not conflict with read-write transactions. As a consequence of not
# taking locks, they also do not abort, so retry loops are not needed.
# Transactions may only read/write data in a single database. They
# may, however, read/write data in different tables within that
# database.
# ## Locking Read-Write Transactions
# Locking transactions may be used to atomically read-modify-write
# data anywhere in a database. This type of transaction is externally
# consistent.
# Clients should attempt to minimize the amount of time a transaction
# is active. Faster transactions commit with higher probability
# and cause less contention. Cloud Spanner attempts to keep read locks
# active as long as the transaction continues to do reads, and the
# transaction has not been terminated by
# Commit or
# Rollback. Long periods of
# inactivity at the client may cause Cloud Spanner to release a
# transaction's locks and abort it.
# Conceptually, a read-write transaction consists of zero or more
# reads or SQL statements followed by
# Commit. At any time before
# Commit, the client can send a
# Rollback request to abort the
# transaction.
# ### Semantics
# Cloud Spanner can commit the transaction if all read locks it acquired
# are still valid at commit time, and it is able to acquire write
# locks for all writes. Cloud Spanner can abort the transaction for any
# reason. If a commit attempt returns `ABORTED`, Cloud Spanner guarantees
# that the transaction has not modified any user data in Cloud Spanner.
# Unless the transaction commits, Cloud Spanner makes no guarantees about
# how long the transaction's locks were held for. It is an error to
# use Cloud Spanner locks for any sort of mutual exclusion other than
# between Cloud Spanner transactions themselves.
# ### Retrying Aborted Transactions
# When a transaction aborts, the application can choose to retry the
# whole transaction again. To maximize the chances of successfully
# committing the retry, the client should execute the retry in the
# same session as the original attempt. The original session's lock
# priority increases with each consecutive abort, meaning that each
# attempt has a slightly better chance of success than the previous.
# Under some circumstances (e.g., many transactions attempting to
# modify the same row(s)), a transaction can abort many times in a
# short period before successfully committing. Thus, it is not a good
# idea to cap the number of retries a transaction can attempt;
# instead, it is better to limit the total amount of wall time spent
# retrying.
# ### Idle Transactions
# A transaction is considered idle if it has no outstanding reads or
# SQL queries and has not started a read or SQL query within the last 10
# seconds. Idle transactions can be aborted by Cloud Spanner so that they
# don't hold on to locks indefinitely. In that case, the commit will
# fail with error `ABORTED`.
# If this behavior is undesirable, periodically executing a simple
# SQL query in the transaction (e.g., `SELECT 1`) prevents the
# transaction from becoming idle.
# ## Snapshot Read-Only Transactions
# Snapshot read-only transactions provides a simpler method than
# locking read-write transactions for doing several consistent
# reads. However, this type of transaction does not support writes.
# Snapshot transactions do not take locks. Instead, they work by
# choosing a Cloud Spanner timestamp, then executing all reads at that
# timestamp. Since they do not acquire locks, they do not block
# concurrent read-write transactions.
# Unlike locking read-write transactions, snapshot read-only
# transactions never abort. They can fail if the chosen read
# timestamp is garbage collected; however, the default garbage
# collection policy is generous enough that most applications do not
# need to worry about this in practice.
# Snapshot read-only transactions do not need to call
# Commit or
# Rollback (and in fact are not
# permitted to do so).
# To execute a snapshot transaction, the client specifies a timestamp
# bound, which tells Cloud Spanner how to choose a read timestamp.
# The types of timestamp bound are:
# - Strong (the default).
# - Bounded staleness.
# - Exact staleness.
# If the Cloud Spanner database to be read is geographically distributed,
# stale read-only transactions can execute more quickly than strong
# or read-write transaction, because they are able to execute far
# from the leader replica.
# Each type of timestamp bound is discussed in detail below.
# ### Strong
# Strong reads are guaranteed to see the effects of all transactions
# that have committed before the start of the read. Furthermore, all
# rows yielded by a single read are consistent with each other -- if
# any part of the read observes a transaction, all parts of the read
# see the transaction.
# Strong reads are not repeatable: two consecutive strong read-only
# transactions might return inconsistent results if there are
# concurrent writes. If consistency across reads is required, the
# reads should be executed within a transaction or at an exact read
# timestamp.
# See TransactionOptions.ReadOnly.strong.
# ### Exact Staleness
# These timestamp bounds execute reads at a user-specified
# timestamp. Reads at a timestamp are guaranteed to see a consistent
# prefix of the global transaction history: they observe
# modifications done by all transactions with a commit timestamp <=
# the read timestamp, and observe none of the modifications done by
# transactions with a larger commit timestamp. They will block until
# all conflicting transactions that may be assigned commit timestamps
# <= the read timestamp have finished.
# The timestamp can either be expressed as an absolute Cloud Spanner commit
# timestamp or a staleness relative to the current time.
# These modes do not require a "negotiation phase" to pick a
# timestamp. As a result, they execute slightly faster than the
# equivalent boundedly stale concurrency modes. On the other hand,
# boundedly stale reads usually return fresher results.
# See TransactionOptions.ReadOnly.read_timestamp and
# TransactionOptions.ReadOnly.exact_staleness.
# ### Bounded Staleness
# Bounded staleness modes allow Cloud Spanner to pick the read timestamp,
# subject to a user-provided staleness bound. Cloud Spanner chooses the
# newest timestamp within the staleness bound that allows execution
# of the reads at the closest available replica without blocking.
# All rows yielded are consistent with each other -- if any part of
# the read observes a transaction, all parts of the read see the
# transaction. Boundedly stale reads are not repeatable: two stale
# reads, even if they use the same staleness bound, can execute at
# different timestamps and thus return inconsistent results.
# Boundedly stale reads execute in two phases: the first phase
# negotiates a timestamp among all replicas needed to serve the
# read. In the second phase, reads are executed at the negotiated
# timestamp.
# As a result of the two phase execution, bounded staleness reads are
# usually a little slower than comparable exact staleness
# reads. However, they are typically able to return fresher
# results, and are more likely to execute at the closest replica.
# Because the timestamp negotiation requires up-front knowledge of
# which rows will be read, it can only be used with single-use
# read-only transactions.
# See TransactionOptions.ReadOnly.max_staleness and
# TransactionOptions.ReadOnly.min_read_timestamp.
# ### Old Read Timestamps and Garbage Collection
# Cloud Spanner continuously garbage collects deleted and overwritten data
# in the background to reclaim storage space. This process is known
# as "version GC". By default, version GC reclaims versions after they
# are one hour old. Because of this, Cloud Spanner cannot perform reads
# at read timestamps more than one hour in the past. This
# restriction also applies to in-progress reads and/or SQL queries whose
# timestamp become too old while executing. Reads and SQL queries with
# too-old read timestamps fail with the error `FAILED_PRECONDITION`.
# ## Partitioned DML Transactions
# Partitioned DML transactions are used to execute DML statements with a
# different execution strategy that provides different, and often better,
# scalability properties for large, table-wide operations than DML in a
# ReadWrite transaction. Smaller scoped statements, such as an OLTP workload,
# should prefer using ReadWrite transactions.
# Partitioned DML partitions the keyspace and runs the DML statement on each
# partition in separate, internal transactions. These transactions commit
# automatically when complete, and run independently from one another.
# To reduce lock contention, this execution strategy only acquires read locks
# on rows that match the WHERE clause of the statement. Additionally, the
# smaller per-partition transactions hold locks for less time.
# That said, Partitioned DML is not a drop-in replacement for standard DML used
# in ReadWrite transactions.
# - The DML statement must be fully-partitionable. Specifically, the statement
# must be expressible as the union of many statements which each access only
# a single row of the table.
# - The statement is not applied atomically to all rows of the table. Rather,
# the statement is applied atomically to partitions of the table, in
# independent transactions. Secondary index rows are updated atomically
# with the base table rows.
# - Partitioned DML does not guarantee exactly-once execution semantics
# against a partition. The statement will be applied at least once to each
# partition. It is strongly recommended that the DML statement should be
# idempotent to avoid unexpected results. For instance, it is potentially
# dangerous to run a statement such as
# `UPDATE table SET column = column + 1` as it could be run multiple times
# against some rows.
# - The partitions are committed automatically - there is no support for
# Commit or Rollback. If the call returns an error, or if the client issuing
# the ExecuteSql call dies, it is possible that some rows had the statement
# executed on them successfully. It is also possible that statement was
# never executed against other rows.
# - Partitioned DML transactions may only contain the execution of a single
# DML statement via ExecuteSql or ExecuteStreamingSql.
# - If any error is encountered during the execution of the partitioned DML
# operation (for instance, a UNIQUE INDEX violation, division by zero, or a
# value that cannot be stored due to schema constraints), then the
# operation is stopped at that point and an error is returned. It is
# possible that at this point, some partitions have been committed (or even
# committed multiple times), and other partitions have not been run at all.
# Given the above, Partitioned DML is good fit for large, database-wide,
# operations that are idempotent, such as deleting old rows from a very large
# table.
# Corresponds to the JSON property `options`
# @return [Google::Apis::SpannerV1::TransactionOptions]
attr_accessor :options
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@options = args[:options] if args.key?(:options)
end
end
# Associates `members` with a `role`.
class Binding
include Google::Apis::Core::Hashable
# Represents an expression text. Example:
# title: "User account presence"
# description: "Determines whether the request has a user account"
# expression: "size(request.user) > 0"
# Corresponds to the JSON property `condition`
# @return [Google::Apis::SpannerV1::Expr]
attr_accessor :condition
# Specifies the identities requesting access for a Cloud Platform resource.
# `members` can have the following values:
# * `allUsers`: A special identifier that represents anyone who is
# on the internet; with or without a Google account.
# * `allAuthenticatedUsers`: A special identifier that represents anyone
# who is authenticated with a Google account or a service account.
# * `user:`emailid``: An email address that represents a specific Google
# account. For example, `alice@gmail.com` .
# * `serviceAccount:`emailid``: An email address that represents a service
# account. For example, `my-other-app@appspot.gserviceaccount.com`.
# * `group:`emailid``: An email address that represents a Google group.
# For example, `admins@example.com`.
# * `domain:`domain``: The G Suite domain (primary) that represents all the
# users of that domain. For example, `google.com` or `example.com`.
# Corresponds to the JSON property `members`
# @return [Array<String>]
attr_accessor :members
# Role that is assigned to `members`.
# For example, `roles/viewer`, `roles/editor`, or `roles/owner`.
# Corresponds to the JSON property `role`
# @return [String]
attr_accessor :role
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@condition = args[:condition] if args.key?(:condition)
@members = args[:members] if args.key?(:members)
@role = args[:role] if args.key?(:role)
end
end
# Metadata associated with a parent-child relationship appearing in a
# PlanNode.
class ChildLink
include Google::Apis::Core::Hashable
# The node to which the link points.
# Corresponds to the JSON property `childIndex`
# @return [Fixnum]
attr_accessor :child_index
# The type of the link. For example, in Hash Joins this could be used to
# distinguish between the build child and the probe child, or in the case
# of the child being an output variable, to represent the tag associated
# with the output variable.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
# Only present if the child node is SCALAR and corresponds
# to an output variable of the parent node. The field carries the name of
# the output variable.
# For example, a `TableScan` operator that reads rows from a table will
# have child links to the `SCALAR` nodes representing the output variables
# created for each column that is read by the operator. The corresponding
# `variable` fields will be set to the variable names assigned to the
# columns.
# Corresponds to the JSON property `variable`
# @return [String]
attr_accessor :variable
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@child_index = args[:child_index] if args.key?(:child_index)
@type = args[:type] if args.key?(:type)
@variable = args[:variable] if args.key?(:variable)
end
end
# The request for Commit.
class CommitRequest
include Google::Apis::Core::Hashable
# The mutations to be executed when this transaction commits. All
# mutations are applied atomically, in the order they appear in
# this list.
# Corresponds to the JSON property `mutations`
# @return [Array<Google::Apis::SpannerV1::Mutation>]
attr_accessor :mutations
# # Transactions
# Each session can have at most one active transaction at a time. After the
# active transaction is completed, the session can immediately be
# re-used for the next transaction. It is not necessary to create a
# new session for each transaction.
# # Transaction Modes
# Cloud Spanner supports three transaction modes:
# 1. Locking read-write. This type of transaction is the only way
# to write data into Cloud Spanner. These transactions rely on
# pessimistic locking and, if necessary, two-phase commit.
# Locking read-write transactions may abort, requiring the
# application to retry.
# 2. Snapshot read-only. This transaction type provides guaranteed
# consistency across several reads, but does not allow
# writes. Snapshot read-only transactions can be configured to
# read at timestamps in the past. Snapshot read-only
# transactions do not need to be committed.
# 3. Partitioned DML. This type of transaction is used to execute
# a single Partitioned DML statement. Partitioned DML partitions
# the key space and runs the DML statement over each partition
# in parallel using separate, internal transactions that commit
# independently. Partitioned DML transactions do not need to be
# committed.
# For transactions that only read, snapshot read-only transactions
# provide simpler semantics and are almost always faster. In
# particular, read-only transactions do not take locks, so they do
# not conflict with read-write transactions. As a consequence of not
# taking locks, they also do not abort, so retry loops are not needed.
# Transactions may only read/write data in a single database. They
# may, however, read/write data in different tables within that
# database.
# ## Locking Read-Write Transactions
# Locking transactions may be used to atomically read-modify-write
# data anywhere in a database. This type of transaction is externally
# consistent.
# Clients should attempt to minimize the amount of time a transaction
# is active. Faster transactions commit with higher probability
# and cause less contention. Cloud Spanner attempts to keep read locks
# active as long as the transaction continues to do reads, and the
# transaction has not been terminated by
# Commit or
# Rollback. Long periods of
# inactivity at the client may cause Cloud Spanner to release a
# transaction's locks and abort it.
# Conceptually, a read-write transaction consists of zero or more
# reads or SQL statements followed by
# Commit. At any time before
# Commit, the client can send a
# Rollback request to abort the
# transaction.
# ### Semantics
# Cloud Spanner can commit the transaction if all read locks it acquired
# are still valid at commit time, and it is able to acquire write
# locks for all writes. Cloud Spanner can abort the transaction for any
# reason. If a commit attempt returns `ABORTED`, Cloud Spanner guarantees
# that the transaction has not modified any user data in Cloud Spanner.
# Unless the transaction commits, Cloud Spanner makes no guarantees about
# how long the transaction's locks were held for. It is an error to
# use Cloud Spanner locks for any sort of mutual exclusion other than
# between Cloud Spanner transactions themselves.
# ### Retrying Aborted Transactions
# When a transaction aborts, the application can choose to retry the
# whole transaction again. To maximize the chances of successfully
# committing the retry, the client should execute the retry in the
# same session as the original attempt. The original session's lock
# priority increases with each consecutive abort, meaning that each
# attempt has a slightly better chance of success than the previous.
# Under some circumstances (e.g., many transactions attempting to
# modify the same row(s)), a transaction can abort many times in a
# short period before successfully committing. Thus, it is not a good
# idea to cap the number of retries a transaction can attempt;
# instead, it is better to limit the total amount of wall time spent
# retrying.
# ### Idle Transactions
# A transaction is considered idle if it has no outstanding reads or
# SQL queries and has not started a read or SQL query within the last 10
# seconds. Idle transactions can be aborted by Cloud Spanner so that they
# don't hold on to locks indefinitely. In that case, the commit will
# fail with error `ABORTED`.
# If this behavior is undesirable, periodically executing a simple
# SQL query in the transaction (e.g., `SELECT 1`) prevents the
# transaction from becoming idle.
# ## Snapshot Read-Only Transactions
# Snapshot read-only transactions provides a simpler method than
# locking read-write transactions for doing several consistent
# reads. However, this type of transaction does not support writes.
# Snapshot transactions do not take locks. Instead, they work by
# choosing a Cloud Spanner timestamp, then executing all reads at that
# timestamp. Since they do not acquire locks, they do not block
# concurrent read-write transactions.
# Unlike locking read-write transactions, snapshot read-only
# transactions never abort. They can fail if the chosen read
# timestamp is garbage collected; however, the default garbage
# collection policy is generous enough that most applications do not
# need to worry about this in practice.
# Snapshot read-only transactions do not need to call
# Commit or
# Rollback (and in fact are not
# permitted to do so).
# To execute a snapshot transaction, the client specifies a timestamp
# bound, which tells Cloud Spanner how to choose a read timestamp.
# The types of timestamp bound are:
# - Strong (the default).
# - Bounded staleness.
# - Exact staleness.
# If the Cloud Spanner database to be read is geographically distributed,
# stale read-only transactions can execute more quickly than strong
# or read-write transaction, because they are able to execute far
# from the leader replica.
# Each type of timestamp bound is discussed in detail below.
# ### Strong
# Strong reads are guaranteed to see the effects of all transactions
# that have committed before the start of the read. Furthermore, all
# rows yielded by a single read are consistent with each other -- if
# any part of the read observes a transaction, all parts of the read
# see the transaction.
# Strong reads are not repeatable: two consecutive strong read-only
# transactions might return inconsistent results if there are
# concurrent writes. If consistency across reads is required, the
# reads should be executed within a transaction or at an exact read
# timestamp.
# See TransactionOptions.ReadOnly.strong.
# ### Exact Staleness
# These timestamp bounds execute reads at a user-specified
# timestamp. Reads at a timestamp are guaranteed to see a consistent
# prefix of the global transaction history: they observe
# modifications done by all transactions with a commit timestamp <=
# the read timestamp, and observe none of the modifications done by
# transactions with a larger commit timestamp. They will block until
# all conflicting transactions that may be assigned commit timestamps
# <= the read timestamp have finished.
# The timestamp can either be expressed as an absolute Cloud Spanner commit
# timestamp or a staleness relative to the current time.
# These modes do not require a "negotiation phase" to pick a
# timestamp. As a result, they execute slightly faster than the
# equivalent boundedly stale concurrency modes. On the other hand,
# boundedly stale reads usually return fresher results.
# See TransactionOptions.ReadOnly.read_timestamp and
# TransactionOptions.ReadOnly.exact_staleness.
# ### Bounded Staleness
# Bounded staleness modes allow Cloud Spanner to pick the read timestamp,
# subject to a user-provided staleness bound. Cloud Spanner chooses the
# newest timestamp within the staleness bound that allows execution
# of the reads at the closest available replica without blocking.
# All rows yielded are consistent with each other -- if any part of
# the read observes a transaction, all parts of the read see the
# transaction. Boundedly stale reads are not repeatable: two stale
# reads, even if they use the same staleness bound, can execute at
# different timestamps and thus return inconsistent results.
# Boundedly stale reads execute in two phases: the first phase
# negotiates a timestamp among all replicas needed to serve the
# read. In the second phase, reads are executed at the negotiated
# timestamp.
# As a result of the two phase execution, bounded staleness reads are
# usually a little slower than comparable exact staleness
# reads. However, they are typically able to return fresher
# results, and are more likely to execute at the closest replica.
# Because the timestamp negotiation requires up-front knowledge of
# which rows will be read, it can only be used with single-use
# read-only transactions.
# See TransactionOptions.ReadOnly.max_staleness and
# TransactionOptions.ReadOnly.min_read_timestamp.
# ### Old Read Timestamps and Garbage Collection
# Cloud Spanner continuously garbage collects deleted and overwritten data
# in the background to reclaim storage space. This process is known
# as "version GC". By default, version GC reclaims versions after they
# are one hour old. Because of this, Cloud Spanner cannot perform reads
# at read timestamps more than one hour in the past. This
# restriction also applies to in-progress reads and/or SQL queries whose
# timestamp become too old while executing. Reads and SQL queries with
# too-old read timestamps fail with the error `FAILED_PRECONDITION`.
# ## Partitioned DML Transactions
# Partitioned DML transactions are used to execute DML statements with a
# different execution strategy that provides different, and often better,
# scalability properties for large, table-wide operations than DML in a
# ReadWrite transaction. Smaller scoped statements, such as an OLTP workload,
# should prefer using ReadWrite transactions.
# Partitioned DML partitions the keyspace and runs the DML statement on each
# partition in separate, internal transactions. These transactions commit
# automatically when complete, and run independently from one another.
# To reduce lock contention, this execution strategy only acquires read locks
# on rows that match the WHERE clause of the statement. Additionally, the
# smaller per-partition transactions hold locks for less time.
# That said, Partitioned DML is not a drop-in replacement for standard DML used
# in ReadWrite transactions.
# - The DML statement must be fully-partitionable. Specifically, the statement
# must be expressible as the union of many statements which each access only
# a single row of the table.
# - The statement is not applied atomically to all rows of the table. Rather,
# the statement is applied atomically to partitions of the table, in
# independent transactions. Secondary index rows are updated atomically
# with the base table rows.
# - Partitioned DML does not guarantee exactly-once execution semantics
# against a partition. The statement will be applied at least once to each
# partition. It is strongly recommended that the DML statement should be
# idempotent to avoid unexpected results. For instance, it is potentially
# dangerous to run a statement such as
# `UPDATE table SET column = column + 1` as it could be run multiple times
# against some rows.
# - The partitions are committed automatically - there is no support for
# Commit or Rollback. If the call returns an error, or if the client issuing
# the ExecuteSql call dies, it is possible that some rows had the statement
# executed on them successfully. It is also possible that statement was
# never executed against other rows.
# - Partitioned DML transactions may only contain the execution of a single
# DML statement via ExecuteSql or ExecuteStreamingSql.
# - If any error is encountered during the execution of the partitioned DML
# operation (for instance, a UNIQUE INDEX violation, division by zero, or a
# value that cannot be stored due to schema constraints), then the
# operation is stopped at that point and an error is returned. It is
# possible that at this point, some partitions have been committed (or even
# committed multiple times), and other partitions have not been run at all.
# Given the above, Partitioned DML is good fit for large, database-wide,
# operations that are idempotent, such as deleting old rows from a very large
# table.
# Corresponds to the JSON property `singleUseTransaction`
# @return [Google::Apis::SpannerV1::TransactionOptions]
attr_accessor :single_use_transaction
# Commit a previously-started transaction.
# Corresponds to the JSON property `transactionId`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :transaction_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@mutations = args[:mutations] if args.key?(:mutations)
@single_use_transaction = args[:single_use_transaction] if args.key?(:single_use_transaction)
@transaction_id = args[:transaction_id] if args.key?(:transaction_id)
end
end
# The response for Commit.
class CommitResponse
include Google::Apis::Core::Hashable
# The Cloud Spanner timestamp at which the transaction committed.
# Corresponds to the JSON property `commitTimestamp`
# @return [String]
attr_accessor :commit_timestamp
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@commit_timestamp = args[:commit_timestamp] if args.key?(:commit_timestamp)
end
end
# Metadata type for the operation returned by
# CreateDatabase.
class CreateDatabaseMetadata
include Google::Apis::Core::Hashable
# The database being created.
# Corresponds to the JSON property `database`
# @return [String]
attr_accessor :database
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@database = args[:database] if args.key?(:database)
end
end
# The request for CreateDatabase.
class CreateDatabaseRequest
include Google::Apis::Core::Hashable
# Required. A `CREATE DATABASE` statement, which specifies the ID of the
# new database. The database ID must conform to the regular expression
# `a-z*[a-z0-9]` and be between 2 and 30 characters in length.
# If the database ID is a reserved word or if it contains a hyphen, the
# database ID must be enclosed in backticks (`` ` ``).
# Corresponds to the JSON property `createStatement`
# @return [String]
attr_accessor :create_statement
# An optional list of DDL statements to run inside the newly created
# database. Statements can create tables, indexes, etc. These
# statements execute atomically with the creation of the database:
# if there is an error in any statement, the database is not created.
# Corresponds to the JSON property `extraStatements`
# @return [Array<String>]
attr_accessor :extra_statements
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@create_statement = args[:create_statement] if args.key?(:create_statement)
@extra_statements = args[:extra_statements] if args.key?(:extra_statements)
end
end
# Metadata type for the operation returned by
# CreateInstance.
class CreateInstanceMetadata
include Google::Apis::Core::Hashable
# The time at which this operation was cancelled. If set, this operation is
# in the process of undoing itself (which is guaranteed to succeed) and
# cannot be cancelled again.
# Corresponds to the JSON property `cancelTime`
# @return [String]
attr_accessor :cancel_time
# The time at which this operation failed or was completed successfully.
# Corresponds to the JSON property `endTime`
# @return [String]
attr_accessor :end_time
# An isolated set of Cloud Spanner resources on which databases can be hosted.
# Corresponds to the JSON property `instance`
# @return [Google::Apis::SpannerV1::Instance]
attr_accessor :instance
# The time at which the
# CreateInstance request was
# received.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@cancel_time = args[:cancel_time] if args.key?(:cancel_time)
@end_time = args[:end_time] if args.key?(:end_time)
@instance = args[:instance] if args.key?(:instance)
@start_time = args[:start_time] if args.key?(:start_time)
end
end
# The request for CreateInstance.
class CreateInstanceRequest
include Google::Apis::Core::Hashable
# An isolated set of Cloud Spanner resources on which databases can be hosted.
# Corresponds to the JSON property `instance`
# @return [Google::Apis::SpannerV1::Instance]
attr_accessor :instance
# Required. The ID of the instance to create. Valid identifiers are of the
# form `a-z*[a-z0-9]` and must be between 2 and 64 characters in
# length.
# Corresponds to the JSON property `instanceId`
# @return [String]
attr_accessor :instance_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@instance = args[:instance] if args.key?(:instance)
@instance_id = args[:instance_id] if args.key?(:instance_id)
end
end
# The request for CreateSession.
class CreateSessionRequest
include Google::Apis::Core::Hashable
# A session in the Cloud Spanner API.
# Corresponds to the JSON property `session`
# @return [Google::Apis::SpannerV1::Session]
attr_accessor :session
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@session = args[:session] if args.key?(:session)
end
end
# A Cloud Spanner database.
class Database
include Google::Apis::Core::Hashable
# Required. The name of the database. Values are of the form
# `projects/<project>/instances/<instance>/databases/<database>`,
# where `<database>` is as specified in the `CREATE DATABASE`
# statement. This name can be passed to other API methods to
# identify the database.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Output only. The current database state.
# Corresponds to the JSON property `state`
# @return [String]
attr_accessor :state
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@name = args[:name] if args.key?(:name)
@state = args[:state] if args.key?(:state)
end
end
# Arguments to delete operations.
class Delete
include Google::Apis::Core::Hashable
# `KeySet` defines a collection of Cloud Spanner keys and/or key ranges. All
# the keys are expected to be in the same table or index. The keys need
# not be sorted in any particular way.
# If the same key is specified multiple times in the set (for example
# if two ranges, two keys, or a key and a range overlap), Cloud Spanner
# behaves as if the key were only specified once.
# Corresponds to the JSON property `keySet`
# @return [Google::Apis::SpannerV1::KeySet]
attr_accessor :key_set
# Required. The table whose rows will be deleted.
# Corresponds to the JSON property `table`
# @return [String]
attr_accessor :table
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@key_set = args[:key_set] if args.key?(:key_set)
@table = args[:table] if args.key?(:table)
end
end
# A generic empty message that you can re-use to avoid defining duplicated
# empty messages in your APIs. A typical example is to use it as the request
# or the response type of an API method. For instance:
# service Foo `
# rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
# `
# The JSON representation for `Empty` is empty JSON object ````.
class Empty
include Google::Apis::Core::Hashable
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
end
end
# The request for ExecuteBatchDml
class ExecuteBatchDmlRequest
include Google::Apis::Core::Hashable
# A per-transaction sequence number used to identify this request. This is
# used in the same space as the seqno in
# ExecuteSqlRequest. See more details
# in ExecuteSqlRequest.
# Corresponds to the JSON property `seqno`
# @return [Fixnum]
attr_accessor :seqno
# The list of statements to execute in this batch. Statements are executed
# serially, such that the effects of statement i are visible to statement
# i+1. Each statement must be a DML statement. Execution will stop at the
# first failed statement; the remaining statements will not run.
# REQUIRES: `statements_size()` > 0.
# Corresponds to the JSON property `statements`
# @return [Array<Google::Apis::SpannerV1::Statement>]
attr_accessor :statements
# This message is used to select the transaction in which a
# Read or
# ExecuteSql call runs.
# See TransactionOptions for more information about transactions.
# Corresponds to the JSON property `transaction`
# @return [Google::Apis::SpannerV1::TransactionSelector]
attr_accessor :transaction
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@seqno = args[:seqno] if args.key?(:seqno)
@statements = args[:statements] if args.key?(:statements)
@transaction = args[:transaction] if args.key?(:transaction)
end
end
# The response for ExecuteBatchDml. Contains a list
# of ResultSet, one for each DML statement that has successfully executed.
# If a statement fails, the error is returned as part of the response payload.
# Clients can determine whether all DML statements have run successfully, or if
# a statement failed, using one of the following approaches:
# 1. Check if `'status'` field is `OkStatus`.
# 2. Check if `result_sets_size()` equals the number of statements in
# ExecuteBatchDmlRequest.
# Example 1: A request with 5 DML statements, all executed successfully.
# Result: A response with 5 ResultSets, one for each statement in the same
# order, and an `OkStatus`.
# Example 2: A request with 5 DML statements. The 3rd statement has a syntax
# error.
# Result: A response with 2 ResultSets, for the first 2 statements that
# run successfully, and a syntax error (`INVALID_ARGUMENT`) status. From
# `result_set_size()` client can determine that the 3rd statement has failed.
class ExecuteBatchDmlResponse
include Google::Apis::Core::Hashable
# ResultSets, one for each statement in the request that ran successfully, in
# the same order as the statements in the request. Each ResultSet will
# not contain any rows. The ResultSetStats in each ResultSet will
# contain the number of rows modified by the statement.
# Only the first ResultSet in the response contains a valid
# ResultSetMetadata.
# Corresponds to the JSON property `resultSets`
# @return [Array<Google::Apis::SpannerV1::ResultSet>]
attr_accessor :result_sets
# The `Status` type defines a logical error model that is suitable for
# different programming environments, including REST APIs and RPC APIs. It is
# used by [gRPC](https://github.com/grpc). Each `Status` message contains
# three pieces of data: error code, error message, and error details.
# You can find out more about this error model and how to work with it in the
# [API Design Guide](https://cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `status`
# @return [Google::Apis::SpannerV1::Status]
attr_accessor :status
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@result_sets = args[:result_sets] if args.key?(:result_sets)
@status = args[:status] if args.key?(:status)
end
end
# The request for ExecuteSql and
# ExecuteStreamingSql.
class ExecuteSqlRequest
include Google::Apis::Core::Hashable
# It is not always possible for Cloud Spanner to infer the right SQL type
# from a JSON value. For example, values of type `BYTES` and values
# of type `STRING` both appear in params as JSON strings.
# In these cases, `param_types` can be used to specify the exact
# SQL type for some or all of the SQL statement parameters. See the
# definition of Type for more information
# about SQL types.
# Corresponds to the JSON property `paramTypes`
# @return [Hash<String,Google::Apis::SpannerV1::Type>]
attr_accessor :param_types
# The SQL string can contain parameter placeholders. A parameter
# placeholder consists of `'@'` followed by the parameter
# name. Parameter names consist of any combination of letters,
# numbers, and underscores.
# Parameters can appear anywhere that a literal value is expected. The same
# parameter name can be used more than once, for example:
# `"WHERE id > @msg_id AND id < @msg_id + 100"`
# It is an error to execute an SQL statement with unbound parameters.
# Parameter values are specified using `params`, which is a JSON
# object whose keys are parameter names, and whose values are the
# corresponding parameter values.
# Corresponds to the JSON property `params`
# @return [Hash<String,Object>]
attr_accessor :params
# If present, results will be restricted to the specified partition
# previously created using PartitionQuery(). There must be an exact
# match for the values of fields common to this message and the
# PartitionQueryRequest message used to create this partition_token.
# Corresponds to the JSON property `partitionToken`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :partition_token
# Used to control the amount of debugging information returned in
# ResultSetStats. If partition_token is set, query_mode can only
# be set to QueryMode.NORMAL.
# Corresponds to the JSON property `queryMode`
# @return [String]
attr_accessor :query_mode
# If this request is resuming a previously interrupted SQL statement
# execution, `resume_token` should be copied from the last
# PartialResultSet yielded before the interruption. Doing this
# enables the new SQL statement execution to resume where the last one left
# off. The rest of the request parameters must exactly match the
# request that yielded this token.
# Corresponds to the JSON property `resumeToken`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :resume_token
# A per-transaction sequence number used to identify this request. This
# makes each request idempotent such that if the request is received multiple
# times, at most one will succeed.
# The sequence number must be monotonically increasing within the
# transaction. If a request arrives for the first time with an out-of-order
# sequence number, the transaction may be aborted. Replays of previously
# handled requests will yield the same response as the first execution.
# Required for DML statements. Ignored for queries.
# Corresponds to the JSON property `seqno`
# @return [Fixnum]
attr_accessor :seqno
# Required. The SQL string.
# Corresponds to the JSON property `sql`
# @return [String]
attr_accessor :sql
# This message is used to select the transaction in which a
# Read or
# ExecuteSql call runs.
# See TransactionOptions for more information about transactions.
# Corresponds to the JSON property `transaction`
# @return [Google::Apis::SpannerV1::TransactionSelector]
attr_accessor :transaction
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@param_types = args[:param_types] if args.key?(:param_types)
@params = args[:params] if args.key?(:params)
@partition_token = args[:partition_token] if args.key?(:partition_token)
@query_mode = args[:query_mode] if args.key?(:query_mode)
@resume_token = args[:resume_token] if args.key?(:resume_token)
@seqno = args[:seqno] if args.key?(:seqno)
@sql = args[:sql] if args.key?(:sql)
@transaction = args[:transaction] if args.key?(:transaction)
end
end
# Represents an expression text. Example:
# title: "User account presence"
# description: "Determines whether the request has a user account"
# expression: "size(request.user) > 0"
class Expr
include Google::Apis::Core::Hashable
# An optional description of the expression. This is a longer text which
# describes the expression, e.g. when hovered over it in a UI.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# Textual representation of an expression in
# Common Expression Language syntax.
# The application context of the containing message determines which
# well-known feature set of CEL is supported.
# Corresponds to the JSON property `expression`
# @return [String]
attr_accessor :expression
# An optional string indicating the location of the expression for error
# reporting, e.g. a file name and a position in the file.
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# An optional title for the expression, i.e. a short string describing
# its purpose. This can be used e.g. in UIs which allow to enter the
# expression.
# Corresponds to the JSON property `title`
# @return [String]
attr_accessor :title
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@expression = args[:expression] if args.key?(:expression)
@location = args[:location] if args.key?(:location)
@title = args[:title] if args.key?(:title)
end
end
# Message representing a single field of a struct.
class Field
include Google::Apis::Core::Hashable
# The name of the field. For reads, this is the column name. For
# SQL queries, it is the column alias (e.g., `"Word"` in the
# query `"SELECT 'hello' AS Word"`), or the column name (e.g.,
# `"ColName"` in the query `"SELECT ColName FROM Table"`). Some
# columns might have an empty name (e.g., !"SELECT
# UPPER(ColName)"`). Note that a query result can contain
# multiple fields with the same name.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# `Type` indicates the type of a Cloud Spanner value, as might be stored in a
# table cell or returned from an SQL query.
# Corresponds to the JSON property `type`
# @return [Google::Apis::SpannerV1::Type]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@name = args[:name] if args.key?(:name)
@type = args[:type] if args.key?(:type)
end
end
# The response for GetDatabaseDdl.
class GetDatabaseDdlResponse
include Google::Apis::Core::Hashable
# A list of formatted DDL statements defining the schema of the database
# specified in the request.
# Corresponds to the JSON property `statements`
# @return [Array<String>]
attr_accessor :statements
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@statements = args[:statements] if args.key?(:statements)
end
end
# Request message for `GetIamPolicy` method.
class GetIamPolicyRequest
include Google::Apis::Core::Hashable
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
end
end
# An isolated set of Cloud Spanner resources on which databases can be hosted.
class Instance
include Google::Apis::Core::Hashable
# Required. The name of the instance's configuration. Values are of the form
# `projects/<project>/instanceConfigs/<configuration>`. See
# also InstanceConfig and
# ListInstanceConfigs.
# Corresponds to the JSON property `config`
# @return [String]
attr_accessor :config
# Required. The descriptive name for this instance as it appears in UIs.
# Must be unique per project and between 4 and 30 characters in length.
# Corresponds to the JSON property `displayName`
# @return [String]
attr_accessor :display_name
# Cloud Labels are a flexible and lightweight mechanism for organizing cloud
# resources into groups that reflect a customer's organizational needs and
# deployment strategies. Cloud Labels can be used to filter collections of
# resources. They can be used to control how resource metrics are aggregated.
# And they can be used as arguments to policy management rules (e.g. route,
# firewall, load balancing, etc.).
# * Label keys must be between 1 and 63 characters long and must conform to
# the following regular expression: `[a-z]([-a-z0-9]*[a-z0-9])?`.
# * Label values must be between 0 and 63 characters long and must conform
# to the regular expression `([a-z]([-a-z0-9]*[a-z0-9])?)?`.
# * No more than 64 labels can be associated with a given resource.
# See https://goo.gl/xmQnxf for more information on and examples of labels.
# If you plan to use labels in your own code, please note that additional
# characters may be allowed in the future. And so you are advised to use an
# internal label representation, such as JSON, which doesn't rely upon
# specific characters being disallowed. For example, representing labels
# as the string: name + "_" + value would prove problematic if we were to
# allow "_" in a future release.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# Required. A unique identifier for the instance, which cannot be changed
# after the instance is created. Values are of the form
# `projects/<project>/instances/a-z*[a-z0-9]`. The final
# segment of the name must be between 2 and 64 characters in length.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# Required. The number of nodes allocated to this instance. This may be zero
# in API responses for instances that are not yet in state `READY`.
# See [the
# documentation](https://cloud.google.com/spanner/docs/instances#node_count)
# for more information about nodes.
# Corresponds to the JSON property `nodeCount`
# @return [Fixnum]
attr_accessor :node_count
# Output only. The current instance state. For
# CreateInstance, the state must be
# either omitted or set to `CREATING`. For
# UpdateInstance, the state must be
# either omitted or set to `READY`.
# Corresponds to the JSON property `state`
# @return [String]
attr_accessor :state
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@config = args[:config] if args.key?(:config)
@display_name = args[:display_name] if args.key?(:display_name)
@labels = args[:labels] if args.key?(:labels)
@name = args[:name] if args.key?(:name)
@node_count = args[:node_count] if args.key?(:node_count)
@state = args[:state] if args.key?(:state)
end
end
# A possible configuration for a Cloud Spanner instance. Configurations
# define the geographic placement of nodes and their replication.
class InstanceConfig
include Google::Apis::Core::Hashable
# The name of this instance configuration as it appears in UIs.
# Corresponds to the JSON property `displayName`
# @return [String]
attr_accessor :display_name
# A unique identifier for the instance configuration. Values
# are of the form
# `projects/<project>/instanceConfigs/a-z*`
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# The geographic placement of nodes in this instance configuration and their
# replication properties.
# Corresponds to the JSON property `replicas`
# @return [Array<Google::Apis::SpannerV1::ReplicaInfo>]
attr_accessor :replicas
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@display_name = args[:display_name] if args.key?(:display_name)
@name = args[:name] if args.key?(:name)
@replicas = args[:replicas] if args.key?(:replicas)
end
end
# KeyRange represents a range of rows in a table or index.
# A range has a start key and an end key. These keys can be open or
# closed, indicating if the range includes rows with that key.
# Keys are represented by lists, where the ith value in the list
# corresponds to the ith component of the table or index primary key.
# Individual values are encoded as described
# here.
# For example, consider the following table definition:
# CREATE TABLE UserEvents (
# UserName STRING(MAX),
# EventDate STRING(10)
# ) PRIMARY KEY(UserName, EventDate);
# The following keys name rows in this table:
# "Bob", "2014-09-23"
# Since the `UserEvents` table's `PRIMARY KEY` clause names two
# columns, each `UserEvents` key has two elements; the first is the
# `UserName`, and the second is the `EventDate`.
# Key ranges with multiple components are interpreted
# lexicographically by component using the table or index key's declared
# sort order. For example, the following range returns all events for
# user `"Bob"` that occurred in the year 2015:
# "start_closed": ["Bob", "2015-01-01"]
# "end_closed": ["Bob", "2015-12-31"]
# Start and end keys can omit trailing key components. This affects the
# inclusion and exclusion of rows that exactly match the provided key
# components: if the key is closed, then rows that exactly match the
# provided components are included; if the key is open, then rows
# that exactly match are not included.
# For example, the following range includes all events for `"Bob"` that
# occurred during and after the year 2000:
# "start_closed": ["Bob", "2000-01-01"]
# "end_closed": ["Bob"]
# The next example retrieves all events for `"Bob"`:
# "start_closed": ["Bob"]
# "end_closed": ["Bob"]
# To retrieve events before the year 2000:
# "start_closed": ["Bob"]
# "end_open": ["Bob", "2000-01-01"]
# The following range includes all rows in the table:
# "start_closed": []
# "end_closed": []
# This range returns all users whose `UserName` begins with any
# character from A to C:
# "start_closed": ["A"]
# "end_open": ["D"]
# This range returns all users whose `UserName` begins with B:
# "start_closed": ["B"]
# "end_open": ["C"]
# Key ranges honor column sort order. For example, suppose a table is
# defined as follows:
# CREATE TABLE DescendingSortedTable `
# Key INT64,
# ...
# ) PRIMARY KEY(Key DESC);
# The following range retrieves all rows with key values between 1
# and 100 inclusive:
# "start_closed": ["100"]
# "end_closed": ["1"]
# Note that 100 is passed as the start, and 1 is passed as the end,
# because `Key` is a descending column in the schema.
class KeyRange
include Google::Apis::Core::Hashable
# If the end is closed, then the range includes all rows whose
# first `len(end_closed)` key columns exactly match `end_closed`.
# Corresponds to the JSON property `endClosed`
# @return [Array<Object>]
attr_accessor :end_closed
# If the end is open, then the range excludes rows whose first
# `len(end_open)` key columns exactly match `end_open`.
# Corresponds to the JSON property `endOpen`
# @return [Array<Object>]
attr_accessor :end_open
# If the start is closed, then the range includes all rows whose
# first `len(start_closed)` key columns exactly match `start_closed`.
# Corresponds to the JSON property `startClosed`
# @return [Array<Object>]
attr_accessor :start_closed
# If the start is open, then the range excludes rows whose first
# `len(start_open)` key columns exactly match `start_open`.
# Corresponds to the JSON property `startOpen`
# @return [Array<Object>]
attr_accessor :start_open
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@end_closed = args[:end_closed] if args.key?(:end_closed)
@end_open = args[:end_open] if args.key?(:end_open)
@start_closed = args[:start_closed] if args.key?(:start_closed)
@start_open = args[:start_open] if args.key?(:start_open)
end
end
# `KeySet` defines a collection of Cloud Spanner keys and/or key ranges. All
# the keys are expected to be in the same table or index. The keys need
# not be sorted in any particular way.
# If the same key is specified multiple times in the set (for example
# if two ranges, two keys, or a key and a range overlap), Cloud Spanner
# behaves as if the key were only specified once.
class KeySet
include Google::Apis::Core::Hashable
# For convenience `all` can be set to `true` to indicate that this
# `KeySet` matches all keys in the table or index. Note that any keys
# specified in `keys` or `ranges` are only yielded once.
# Corresponds to the JSON property `all`
# @return [Boolean]
attr_accessor :all
alias_method :all?, :all
# A list of specific keys. Entries in `keys` should have exactly as
# many elements as there are columns in the primary or index key
# with which this `KeySet` is used. Individual key values are
# encoded as described here.
# Corresponds to the JSON property `keys`
# @return [Array<Array<Object>>]
attr_accessor :keys
# A list of key ranges. See KeyRange for more information about
# key range specifications.
# Corresponds to the JSON property `ranges`
# @return [Array<Google::Apis::SpannerV1::KeyRange>]
attr_accessor :ranges
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@all = args[:all] if args.key?(:all)
@keys = args[:keys] if args.key?(:keys)
@ranges = args[:ranges] if args.key?(:ranges)
end
end
# The response for ListDatabases.
class ListDatabasesResponse
include Google::Apis::Core::Hashable
# Databases that matched the request.
# Corresponds to the JSON property `databases`
# @return [Array<Google::Apis::SpannerV1::Database>]
attr_accessor :databases
# `next_page_token` can be sent in a subsequent
# ListDatabases call to fetch more
# of the matching databases.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@databases = args[:databases] if args.key?(:databases)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
end
end
# The response for ListInstanceConfigs.
class ListInstanceConfigsResponse
include Google::Apis::Core::Hashable
# The list of requested instance configurations.
# Corresponds to the JSON property `instanceConfigs`
# @return [Array<Google::Apis::SpannerV1::InstanceConfig>]
attr_accessor :instance_configs
# `next_page_token` can be sent in a subsequent
# ListInstanceConfigs call to
# fetch more of the matching instance configurations.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@instance_configs = args[:instance_configs] if args.key?(:instance_configs)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
end
end
# The response for ListInstances.
class ListInstancesResponse
include Google::Apis::Core::Hashable
# The list of requested instances.
# Corresponds to the JSON property `instances`
# @return [Array<Google::Apis::SpannerV1::Instance>]
attr_accessor :instances
# `next_page_token` can be sent in a subsequent
# ListInstances call to fetch more
# of the matching instances.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@instances = args[:instances] if args.key?(:instances)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
end
end
# The response message for Operations.ListOperations.
class ListOperationsResponse
include Google::Apis::Core::Hashable
# The standard List next-page token.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
# A list of operations that matches the specified filter in the request.
# Corresponds to the JSON property `operations`
# @return [Array<Google::Apis::SpannerV1::Operation>]
attr_accessor :operations
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
@operations = args[:operations] if args.key?(:operations)
end
end
# The response for ListSessions.
class ListSessionsResponse
include Google::Apis::Core::Hashable
# `next_page_token` can be sent in a subsequent
# ListSessions call to fetch more of the matching
# sessions.
# Corresponds to the JSON property `nextPageToken`
# @return [String]
attr_accessor :next_page_token
# The list of requested sessions.
# Corresponds to the JSON property `sessions`
# @return [Array<Google::Apis::SpannerV1::Session>]
attr_accessor :sessions
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
@sessions = args[:sessions] if args.key?(:sessions)
end
end
# A modification to one or more Cloud Spanner rows. Mutations can be
# applied to a Cloud Spanner database by sending them in a
# Commit call.
class Mutation
include Google::Apis::Core::Hashable
# Arguments to delete operations.
# Corresponds to the JSON property `delete`
# @return [Google::Apis::SpannerV1::Delete]
attr_accessor :delete
# Arguments to insert, update, insert_or_update, and
# replace operations.
# Corresponds to the JSON property `insert`
# @return [Google::Apis::SpannerV1::Write]
attr_accessor :insert
# Arguments to insert, update, insert_or_update, and
# replace operations.
# Corresponds to the JSON property `insertOrUpdate`
# @return [Google::Apis::SpannerV1::Write]
attr_accessor :insert_or_update
# Arguments to insert, update, insert_or_update, and
# replace operations.
# Corresponds to the JSON property `replace`
# @return [Google::Apis::SpannerV1::Write]
attr_accessor :replace
# Arguments to insert, update, insert_or_update, and
# replace operations.
# Corresponds to the JSON property `update`
# @return [Google::Apis::SpannerV1::Write]
attr_accessor :update
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@delete = args[:delete] if args.key?(:delete)
@insert = args[:insert] if args.key?(:insert)
@insert_or_update = args[:insert_or_update] if args.key?(:insert_or_update)
@replace = args[:replace] if args.key?(:replace)
@update = args[:update] if args.key?(:update)
end
end
# This resource represents a long-running operation that is the result of a
# network API call.
class Operation
include Google::Apis::Core::Hashable
# If the value is `false`, it means the operation is still in progress.
# If `true`, the operation is completed, and either `error` or `response` is
# available.
# Corresponds to the JSON property `done`
# @return [Boolean]
attr_accessor :done
alias_method :done?, :done
# The `Status` type defines a logical error model that is suitable for
# different programming environments, including REST APIs and RPC APIs. It is
# used by [gRPC](https://github.com/grpc). Each `Status` message contains
# three pieces of data: error code, error message, and error details.
# You can find out more about this error model and how to work with it in the
# [API Design Guide](https://cloud.google.com/apis/design/errors).
# Corresponds to the JSON property `error`
# @return [Google::Apis::SpannerV1::Status]
attr_accessor :error
# Service-specific metadata associated with the operation. It typically
# contains progress information and common metadata such as create time.
# Some services might not provide such metadata. Any method that returns a
# long-running operation should document the metadata type, if any.
# Corresponds to the JSON property `metadata`
# @return [Hash<String,Object>]
attr_accessor :metadata
# The server-assigned name, which is only unique within the same service that
# originally returns it. If you use the default HTTP mapping, the
# `name` should be a resource name ending with `operations/`unique_id``.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
# The normal response of the operation in case of success. If the original
# method returns no data on success, such as `Delete`, the response is
# `google.protobuf.Empty`. If the original method is standard
# `Get`/`Create`/`Update`, the response should be the resource. For other
# methods, the response should have the type `XxxResponse`, where `Xxx`
# is the original method name. For example, if the original method name
# is `TakeSnapshot()`, the inferred response type is
# `TakeSnapshotResponse`.
# Corresponds to the JSON property `response`
# @return [Hash<String,Object>]
attr_accessor :response
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@done = args[:done] if args.key?(:done)
@error = args[:error] if args.key?(:error)
@metadata = args[:metadata] if args.key?(:metadata)
@name = args[:name] if args.key?(:name)
@response = args[:response] if args.key?(:response)
end
end
# Partial results from a streaming read or SQL query. Streaming reads and
# SQL queries better tolerate large result sets, large rows, and large
# values, but are a little trickier to consume.
class PartialResultSet
include Google::Apis::Core::Hashable
# If true, then the final value in values is chunked, and must
# be combined with more values from subsequent `PartialResultSet`s
# to obtain a complete field value.
# Corresponds to the JSON property `chunkedValue`
# @return [Boolean]
attr_accessor :chunked_value
alias_method :chunked_value?, :chunked_value
# Metadata about a ResultSet or PartialResultSet.
# Corresponds to the JSON property `metadata`
# @return [Google::Apis::SpannerV1::ResultSetMetadata]
attr_accessor :metadata
# Streaming calls might be interrupted for a variety of reasons, such
# as TCP connection loss. If this occurs, the stream of results can
# be resumed by re-sending the original request and including
# `resume_token`. Note that executing any other transaction in the
# same session invalidates the token.
# Corresponds to the JSON property `resumeToken`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :resume_token
# Additional statistics about a ResultSet or PartialResultSet.
# Corresponds to the JSON property `stats`
# @return [Google::Apis::SpannerV1::ResultSetStats]
attr_accessor :stats
# A streamed result set consists of a stream of values, which might
# be split into many `PartialResultSet` messages to accommodate
# large rows and/or large values. Every N complete values defines a
# row, where N is equal to the number of entries in
# metadata.row_type.fields.
# Most values are encoded based on type as described
# here.
# It is possible that the last value in values is "chunked",
# meaning that the rest of the value is sent in subsequent
# `PartialResultSet`(s). This is denoted by the chunked_value
# field. Two or more chunked values can be merged to form a
# complete value as follows:
# * `bool/number/null`: cannot be chunked
# * `string`: concatenate the strings
# * `list`: concatenate the lists. If the last element in a list is a
# `string`, `list`, or `object`, merge it with the first element in
# the next list by applying these rules recursively.
# * `object`: concatenate the (field name, field value) pairs. If a
# field name is duplicated, then apply these rules recursively
# to merge the field values.
# Some examples of merging:
# # Strings are concatenated.
# "foo", "bar" => "foobar"
# # Lists of non-strings are concatenated.
# [2, 3], [4] => [2, 3, 4]
# # Lists are concatenated, but the last and first elements are merged
# # because they are strings.
# ["a", "b"], ["c", "d"] => ["a", "bc", "d"]
# # Lists are concatenated, but the last and first elements are merged
# # because they are lists. Recursively, the last and first elements
# # of the inner lists are merged because they are strings.
# ["a", ["b", "c"]], [["d"], "e"] => ["a", ["b", "cd"], "e"]
# # Non-overlapping object fields are combined.
# `"a": "1"`, `"b": "2"` => `"a": "1", "b": 2"`
# # Overlapping object fields are merged.
# `"a": "1"`, `"a": "2"` => `"a": "12"`
# # Examples of merging objects containing lists of strings.
# `"a": ["1"]`, `"a": ["2"]` => `"a": ["12"]`
# For a more complete example, suppose a streaming SQL query is
# yielding a result set whose rows contain a single string
# field. The following `PartialResultSet`s might be yielded:
# `
# "metadata": ` ... `
# "values": ["Hello", "W"]
# "chunked_value": true
# "resume_token": "Af65..."
# `
# `
# "values": ["orl"]
# "chunked_value": true
# "resume_token": "Bqp2..."
# `
# `
# "values": ["d"]
# "resume_token": "Zx1B..."
# `
# This sequence of `PartialResultSet`s encodes two rows, one
# containing the field value `"Hello"`, and a second containing the
# field value `"World" = "W" + "orl" + "d"`.
# Corresponds to the JSON property `values`
# @return [Array<Object>]
attr_accessor :values
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@chunked_value = args[:chunked_value] if args.key?(:chunked_value)
@metadata = args[:metadata] if args.key?(:metadata)
@resume_token = args[:resume_token] if args.key?(:resume_token)
@stats = args[:stats] if args.key?(:stats)
@values = args[:values] if args.key?(:values)
end
end
# Information returned for each partition returned in a
# PartitionResponse.
class Partition
include Google::Apis::Core::Hashable
# This token can be passed to Read, StreamingRead, ExecuteSql, or
# ExecuteStreamingSql requests to restrict the results to those identified by
# this partition token.
# Corresponds to the JSON property `partitionToken`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :partition_token
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@partition_token = args[:partition_token] if args.key?(:partition_token)
end
end
# Options for a PartitionQueryRequest and
# PartitionReadRequest.
class PartitionOptions
include Google::Apis::Core::Hashable
# **Note:** This hint is currently ignored by PartitionQuery and
# PartitionRead requests.
# The desired maximum number of partitions to return. For example, this may
# be set to the number of workers available. The default for this option
# is currently 10,000. The maximum value is currently 200,000. This is only
# a hint. The actual number of partitions returned may be smaller or larger
# than this maximum count request.
# Corresponds to the JSON property `maxPartitions`
# @return [Fixnum]
attr_accessor :max_partitions
# **Note:** This hint is currently ignored by PartitionQuery and
# PartitionRead requests.
# The desired data size for each partition generated. The default for this
# option is currently 1 GiB. This is only a hint. The actual size of each
# partition may be smaller or larger than this size request.
# Corresponds to the JSON property `partitionSizeBytes`
# @return [Fixnum]
attr_accessor :partition_size_bytes
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@max_partitions = args[:max_partitions] if args.key?(:max_partitions)
@partition_size_bytes = args[:partition_size_bytes] if args.key?(:partition_size_bytes)
end
end
# The request for PartitionQuery
class PartitionQueryRequest
include Google::Apis::Core::Hashable
# It is not always possible for Cloud Spanner to infer the right SQL type
# from a JSON value. For example, values of type `BYTES` and values
# of type `STRING` both appear in params as JSON strings.
# In these cases, `param_types` can be used to specify the exact
# SQL type for some or all of the SQL query parameters. See the
# definition of Type for more information
# about SQL types.
# Corresponds to the JSON property `paramTypes`
# @return [Hash<String,Google::Apis::SpannerV1::Type>]
attr_accessor :param_types
# The SQL query string can contain parameter placeholders. A parameter
# placeholder consists of `'@'` followed by the parameter
# name. Parameter names consist of any combination of letters,
# numbers, and underscores.
# Parameters can appear anywhere that a literal value is expected. The same
# parameter name can be used more than once, for example:
# `"WHERE id > @msg_id AND id < @msg_id + 100"`
# It is an error to execute an SQL query with unbound parameters.
# Parameter values are specified using `params`, which is a JSON
# object whose keys are parameter names, and whose values are the
# corresponding parameter values.
# Corresponds to the JSON property `params`
# @return [Hash<String,Object>]
attr_accessor :params
# Options for a PartitionQueryRequest and
# PartitionReadRequest.
# Corresponds to the JSON property `partitionOptions`
# @return [Google::Apis::SpannerV1::PartitionOptions]
attr_accessor :partition_options
# The query request to generate partitions for. The request will fail if
# the query is not root partitionable. The query plan of a root
# partitionable query has a single distributed union operator. A distributed
# union operator conceptually divides one or more tables into multiple
# splits, remotely evaluates a subquery independently on each split, and
# then unions all results.
# This must not contain DML commands, such as INSERT, UPDATE, or
# DELETE. Use ExecuteStreamingSql with a
# PartitionedDml transaction for large, partition-friendly DML operations.
# Corresponds to the JSON property `sql`
# @return [String]
attr_accessor :sql
# This message is used to select the transaction in which a
# Read or
# ExecuteSql call runs.
# See TransactionOptions for more information about transactions.
# Corresponds to the JSON property `transaction`
# @return [Google::Apis::SpannerV1::TransactionSelector]
attr_accessor :transaction
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@param_types = args[:param_types] if args.key?(:param_types)
@params = args[:params] if args.key?(:params)
@partition_options = args[:partition_options] if args.key?(:partition_options)
@sql = args[:sql] if args.key?(:sql)
@transaction = args[:transaction] if args.key?(:transaction)
end
end
# The request for PartitionRead
class PartitionReadRequest
include Google::Apis::Core::Hashable
# The columns of table to be returned for each row matching
# this request.
# Corresponds to the JSON property `columns`
# @return [Array<String>]
attr_accessor :columns
# If non-empty, the name of an index on table. This index is
# used instead of the table primary key when interpreting key_set
# and sorting result rows. See key_set for further information.
# Corresponds to the JSON property `index`
# @return [String]
attr_accessor :index
# `KeySet` defines a collection of Cloud Spanner keys and/or key ranges. All
# the keys are expected to be in the same table or index. The keys need
# not be sorted in any particular way.
# If the same key is specified multiple times in the set (for example
# if two ranges, two keys, or a key and a range overlap), Cloud Spanner
# behaves as if the key were only specified once.
# Corresponds to the JSON property `keySet`
# @return [Google::Apis::SpannerV1::KeySet]
attr_accessor :key_set
# Options for a PartitionQueryRequest and
# PartitionReadRequest.
# Corresponds to the JSON property `partitionOptions`
# @return [Google::Apis::SpannerV1::PartitionOptions]
attr_accessor :partition_options
# Required. The name of the table in the database to be read.
# Corresponds to the JSON property `table`
# @return [String]
attr_accessor :table
# This message is used to select the transaction in which a
# Read or
# ExecuteSql call runs.
# See TransactionOptions for more information about transactions.
# Corresponds to the JSON property `transaction`
# @return [Google::Apis::SpannerV1::TransactionSelector]
attr_accessor :transaction
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@columns = args[:columns] if args.key?(:columns)
@index = args[:index] if args.key?(:index)
@key_set = args[:key_set] if args.key?(:key_set)
@partition_options = args[:partition_options] if args.key?(:partition_options)
@table = args[:table] if args.key?(:table)
@transaction = args[:transaction] if args.key?(:transaction)
end
end
# The response for PartitionQuery
# or PartitionRead
class PartitionResponse
include Google::Apis::Core::Hashable
# Partitions created by this request.
# Corresponds to the JSON property `partitions`
# @return [Array<Google::Apis::SpannerV1::Partition>]
attr_accessor :partitions
# A transaction.
# Corresponds to the JSON property `transaction`
# @return [Google::Apis::SpannerV1::Transaction]
attr_accessor :transaction
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@partitions = args[:partitions] if args.key?(:partitions)
@transaction = args[:transaction] if args.key?(:transaction)
end
end
# Message type to initiate a Partitioned DML transaction.
class PartitionedDml
include Google::Apis::Core::Hashable
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
end
end
# Node information for nodes appearing in a QueryPlan.plan_nodes.
class PlanNode
include Google::Apis::Core::Hashable
# List of child node `index`es and their relationship to this parent.
# Corresponds to the JSON property `childLinks`
# @return [Array<Google::Apis::SpannerV1::ChildLink>]
attr_accessor :child_links
# The display name for the node.
# Corresponds to the JSON property `displayName`
# @return [String]
attr_accessor :display_name
# The execution statistics associated with the node, contained in a group of
# key-value pairs. Only present if the plan was returned as a result of a
# profile query. For example, number of executions, number of rows/time per
# execution etc.
# Corresponds to the JSON property `executionStats`
# @return [Hash<String,Object>]
attr_accessor :execution_stats
# The `PlanNode`'s index in node list.
# Corresponds to the JSON property `index`
# @return [Fixnum]
attr_accessor :index
# Used to determine the type of node. May be needed for visualizing
# different kinds of nodes differently. For example, If the node is a
# SCALAR node, it will have a condensed representation
# which can be used to directly embed a description of the node in its
# parent.
# Corresponds to the JSON property `kind`
# @return [String]
attr_accessor :kind
# Attributes relevant to the node contained in a group of key-value pairs.
# For example, a Parameter Reference node could have the following
# information in its metadata:
# `
# "parameter_reference": "param1",
# "parameter_type": "array"
# `
# Corresponds to the JSON property `metadata`
# @return [Hash<String,Object>]
attr_accessor :metadata
# Condensed representation of a node and its subtree. Only present for
# `SCALAR` PlanNode(s).
# Corresponds to the JSON property `shortRepresentation`
# @return [Google::Apis::SpannerV1::ShortRepresentation]
attr_accessor :short_representation
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@child_links = args[:child_links] if args.key?(:child_links)
@display_name = args[:display_name] if args.key?(:display_name)
@execution_stats = args[:execution_stats] if args.key?(:execution_stats)
@index = args[:index] if args.key?(:index)
@kind = args[:kind] if args.key?(:kind)
@metadata = args[:metadata] if args.key?(:metadata)
@short_representation = args[:short_representation] if args.key?(:short_representation)
end
end
# Defines an Identity and Access Management (IAM) policy. It is used to
# specify access control policies for Cloud Platform resources.
# A `Policy` consists of a list of `bindings`. A `binding` binds a list of
# `members` to a `role`, where the members can be user accounts, Google groups,
# Google domains, and service accounts. A `role` is a named list of permissions
# defined by IAM.
# **JSON Example**
# `
# "bindings": [
# `
# "role": "roles/owner",
# "members": [
# "user:mike@example.com",
# "group:admins@example.com",
# "domain:google.com",
# "serviceAccount:my-other-app@appspot.gserviceaccount.com"
# ]
# `,
# `
# "role": "roles/viewer",
# "members": ["user:sean@example.com"]
# `
# ]
# `
# **YAML Example**
# bindings:
# - members:
# - user:mike@example.com
# - group:admins@example.com
# - domain:google.com
# - serviceAccount:my-other-app@appspot.gserviceaccount.com
# role: roles/owner
# - members:
# - user:sean@example.com
# role: roles/viewer
# For a description of IAM and its features, see the
# [IAM developer's guide](https://cloud.google.com/iam/docs).
class Policy
include Google::Apis::Core::Hashable
# Associates a list of `members` to a `role`.
# `bindings` with no members will result in an error.
# Corresponds to the JSON property `bindings`
# @return [Array<Google::Apis::SpannerV1::Binding>]
attr_accessor :bindings
# `etag` is used for optimistic concurrency control as a way to help
# prevent simultaneous updates of a policy from overwriting each other.
# It is strongly suggested that systems make use of the `etag` in the
# read-modify-write cycle to perform policy updates in order to avoid race
# conditions: An `etag` is returned in the response to `getIamPolicy`, and
# systems are expected to put that etag in the request to `setIamPolicy` to
# ensure that their change will be applied to the same version of the policy.
# If no `etag` is provided in the call to `setIamPolicy`, then the existing
# policy is overwritten blindly.
# Corresponds to the JSON property `etag`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :etag
# Deprecated.
# Corresponds to the JSON property `version`
# @return [Fixnum]
attr_accessor :version
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@bindings = args[:bindings] if args.key?(:bindings)
@etag = args[:etag] if args.key?(:etag)
@version = args[:version] if args.key?(:version)
end
end
# Contains an ordered list of nodes appearing in the query plan.
class QueryPlan
include Google::Apis::Core::Hashable
# The nodes in the query plan. Plan nodes are returned in pre-order starting
# with the plan root. Each PlanNode's `id` corresponds to its index in
# `plan_nodes`.
# Corresponds to the JSON property `planNodes`
# @return [Array<Google::Apis::SpannerV1::PlanNode>]
attr_accessor :plan_nodes
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@plan_nodes = args[:plan_nodes] if args.key?(:plan_nodes)
end
end
# Message type to initiate a read-only transaction.
class ReadOnly
include Google::Apis::Core::Hashable
# Executes all reads at a timestamp that is `exact_staleness`
# old. The timestamp is chosen soon after the read is started.
# Guarantees that all writes that have committed more than the
# specified number of seconds ago are visible. Because Cloud Spanner
# chooses the exact timestamp, this mode works even if the client's
# local clock is substantially skewed from Cloud Spanner commit
# timestamps.
# Useful for reading at nearby replicas without the distributed
# timestamp negotiation overhead of `max_staleness`.
# Corresponds to the JSON property `exactStaleness`
# @return [String]
attr_accessor :exact_staleness
# Read data at a timestamp >= `NOW - max_staleness`
# seconds. Guarantees that all writes that have committed more
# than the specified number of seconds ago are visible. Because
# Cloud Spanner chooses the exact timestamp, this mode works even if
# the client's local clock is substantially skewed from Cloud Spanner
# commit timestamps.
# Useful for reading the freshest data available at a nearby
# replica, while bounding the possible staleness if the local
# replica has fallen behind.
# Note that this option can only be used in single-use
# transactions.
# Corresponds to the JSON property `maxStaleness`
# @return [String]
attr_accessor :max_staleness
# Executes all reads at a timestamp >= `min_read_timestamp`.
# This is useful for requesting fresher data than some previous
# read, or data that is fresh enough to observe the effects of some
# previously committed transaction whose timestamp is known.
# Note that this option can only be used in single-use transactions.
# A timestamp in RFC3339 UTC \"Zulu\" format, accurate to nanoseconds.
# Example: `"2014-10-02T15:01:23.045123456Z"`.
# Corresponds to the JSON property `minReadTimestamp`
# @return [String]
attr_accessor :min_read_timestamp
# Executes all reads at the given timestamp. Unlike other modes,
# reads at a specific timestamp are repeatable; the same read at
# the same timestamp always returns the same data. If the
# timestamp is in the future, the read will block until the
# specified timestamp, modulo the read's deadline.
# Useful for large scale consistent reads such as mapreduces, or
# for coordinating many reads against a consistent snapshot of the
# data.
# A timestamp in RFC3339 UTC \"Zulu\" format, accurate to nanoseconds.
# Example: `"2014-10-02T15:01:23.045123456Z"`.
# Corresponds to the JSON property `readTimestamp`
# @return [String]
attr_accessor :read_timestamp
# If true, the Cloud Spanner-selected read timestamp is included in
# the Transaction message that describes the transaction.
# Corresponds to the JSON property `returnReadTimestamp`
# @return [Boolean]
attr_accessor :return_read_timestamp
alias_method :return_read_timestamp?, :return_read_timestamp
# Read at a timestamp where all previously committed transactions
# are visible.
# Corresponds to the JSON property `strong`
# @return [Boolean]
attr_accessor :strong
alias_method :strong?, :strong
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@exact_staleness = args[:exact_staleness] if args.key?(:exact_staleness)
@max_staleness = args[:max_staleness] if args.key?(:max_staleness)
@min_read_timestamp = args[:min_read_timestamp] if args.key?(:min_read_timestamp)
@read_timestamp = args[:read_timestamp] if args.key?(:read_timestamp)
@return_read_timestamp = args[:return_read_timestamp] if args.key?(:return_read_timestamp)
@strong = args[:strong] if args.key?(:strong)
end
end
# The request for Read and
# StreamingRead.
class ReadRequest
include Google::Apis::Core::Hashable
# The columns of table to be returned for each row matching
# this request.
# Corresponds to the JSON property `columns`
# @return [Array<String>]
attr_accessor :columns
# If non-empty, the name of an index on table. This index is
# used instead of the table primary key when interpreting key_set
# and sorting result rows. See key_set for further information.
# Corresponds to the JSON property `index`
# @return [String]
attr_accessor :index
# `KeySet` defines a collection of Cloud Spanner keys and/or key ranges. All
# the keys are expected to be in the same table or index. The keys need
# not be sorted in any particular way.
# If the same key is specified multiple times in the set (for example
# if two ranges, two keys, or a key and a range overlap), Cloud Spanner
# behaves as if the key were only specified once.
# Corresponds to the JSON property `keySet`
# @return [Google::Apis::SpannerV1::KeySet]
attr_accessor :key_set
# If greater than zero, only the first `limit` rows are yielded. If `limit`
# is zero, the default is no limit. A limit cannot be specified if
# `partition_token` is set.
# Corresponds to the JSON property `limit`
# @return [Fixnum]
attr_accessor :limit
# If present, results will be restricted to the specified partition
# previously created using PartitionRead(). There must be an exact
# match for the values of fields common to this message and the
# PartitionReadRequest message used to create this partition_token.
# Corresponds to the JSON property `partitionToken`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :partition_token
# If this request is resuming a previously interrupted read,
# `resume_token` should be copied from the last
# PartialResultSet yielded before the interruption. Doing this
# enables the new read to resume where the last read left off. The
# rest of the request parameters must exactly match the request
# that yielded this token.
# Corresponds to the JSON property `resumeToken`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :resume_token
# Required. The name of the table in the database to be read.
# Corresponds to the JSON property `table`
# @return [String]
attr_accessor :table
# This message is used to select the transaction in which a
# Read or
# ExecuteSql call runs.
# See TransactionOptions for more information about transactions.
# Corresponds to the JSON property `transaction`
# @return [Google::Apis::SpannerV1::TransactionSelector]
attr_accessor :transaction
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@columns = args[:columns] if args.key?(:columns)
@index = args[:index] if args.key?(:index)
@key_set = args[:key_set] if args.key?(:key_set)
@limit = args[:limit] if args.key?(:limit)
@partition_token = args[:partition_token] if args.key?(:partition_token)
@resume_token = args[:resume_token] if args.key?(:resume_token)
@table = args[:table] if args.key?(:table)
@transaction = args[:transaction] if args.key?(:transaction)
end
end
# Message type to initiate a read-write transaction. Currently this
# transaction type has no options.
class ReadWrite
include Google::Apis::Core::Hashable
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
end
end
#
class ReplicaInfo
include Google::Apis::Core::Hashable
# If true, this location is designated as the default leader location where
# leader replicas are placed. See the [region types
# documentation](https://cloud.google.com/spanner/docs/instances#region_types)
# for more details.
# Corresponds to the JSON property `defaultLeaderLocation`
# @return [Boolean]
attr_accessor :default_leader_location
alias_method :default_leader_location?, :default_leader_location
# The location of the serving resources, e.g. "us-central1".
# Corresponds to the JSON property `location`
# @return [String]
attr_accessor :location
# The type of replica.
# Corresponds to the JSON property `type`
# @return [String]
attr_accessor :type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@default_leader_location = args[:default_leader_location] if args.key?(:default_leader_location)
@location = args[:location] if args.key?(:location)
@type = args[:type] if args.key?(:type)
end
end
# Results from Read or
# ExecuteSql.
class ResultSet
include Google::Apis::Core::Hashable
# Metadata about a ResultSet or PartialResultSet.
# Corresponds to the JSON property `metadata`
# @return [Google::Apis::SpannerV1::ResultSetMetadata]
attr_accessor :metadata
# Each element in `rows` is a row whose format is defined by
# metadata.row_type. The ith element
# in each row matches the ith field in
# metadata.row_type. Elements are
# encoded based on type as described
# here.
# Corresponds to the JSON property `rows`
# @return [Array<Array<Object>>]
attr_accessor :rows
# Additional statistics about a ResultSet or PartialResultSet.
# Corresponds to the JSON property `stats`
# @return [Google::Apis::SpannerV1::ResultSetStats]
attr_accessor :stats
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@metadata = args[:metadata] if args.key?(:metadata)
@rows = args[:rows] if args.key?(:rows)
@stats = args[:stats] if args.key?(:stats)
end
end
# Metadata about a ResultSet or PartialResultSet.
class ResultSetMetadata
include Google::Apis::Core::Hashable
# `StructType` defines the fields of a STRUCT type.
# Corresponds to the JSON property `rowType`
# @return [Google::Apis::SpannerV1::StructType]
attr_accessor :row_type
# A transaction.
# Corresponds to the JSON property `transaction`
# @return [Google::Apis::SpannerV1::Transaction]
attr_accessor :transaction
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@row_type = args[:row_type] if args.key?(:row_type)
@transaction = args[:transaction] if args.key?(:transaction)
end
end
# Additional statistics about a ResultSet or PartialResultSet.
class ResultSetStats
include Google::Apis::Core::Hashable
# Contains an ordered list of nodes appearing in the query plan.
# Corresponds to the JSON property `queryPlan`
# @return [Google::Apis::SpannerV1::QueryPlan]
attr_accessor :query_plan
# Aggregated statistics from the execution of the query. Only present when
# the query is profiled. For example, a query could return the statistics as
# follows:
# `
# "rows_returned": "3",
# "elapsed_time": "1.22 secs",
# "cpu_time": "1.19 secs"
# `
# Corresponds to the JSON property `queryStats`
# @return [Hash<String,Object>]
attr_accessor :query_stats
# Standard DML returns an exact count of rows that were modified.
# Corresponds to the JSON property `rowCountExact`
# @return [Fixnum]
attr_accessor :row_count_exact
# Partitioned DML does not offer exactly-once semantics, so it
# returns a lower bound of the rows modified.
# Corresponds to the JSON property `rowCountLowerBound`
# @return [Fixnum]
attr_accessor :row_count_lower_bound
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@query_plan = args[:query_plan] if args.key?(:query_plan)
@query_stats = args[:query_stats] if args.key?(:query_stats)
@row_count_exact = args[:row_count_exact] if args.key?(:row_count_exact)
@row_count_lower_bound = args[:row_count_lower_bound] if args.key?(:row_count_lower_bound)
end
end
# The request for Rollback.
class RollbackRequest
include Google::Apis::Core::Hashable
# Required. The transaction to roll back.
# Corresponds to the JSON property `transactionId`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :transaction_id
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@transaction_id = args[:transaction_id] if args.key?(:transaction_id)
end
end
# A session in the Cloud Spanner API.
class Session
include Google::Apis::Core::Hashable
# Output only. The approximate timestamp when the session is last used. It is
# typically earlier than the actual last use time.
# Corresponds to the JSON property `approximateLastUseTime`
# @return [String]
attr_accessor :approximate_last_use_time
# Output only. The timestamp when the session is created.
# Corresponds to the JSON property `createTime`
# @return [String]
attr_accessor :create_time
# The labels for the session.
# * Label keys must be between 1 and 63 characters long and must conform to
# the following regular expression: `[a-z]([-a-z0-9]*[a-z0-9])?`.
# * Label values must be between 0 and 63 characters long and must conform
# to the regular expression `([a-z]([-a-z0-9]*[a-z0-9])?)?`.
# * No more than 64 labels can be associated with a given session.
# See https://goo.gl/xmQnxf for more information on and examples of labels.
# Corresponds to the JSON property `labels`
# @return [Hash<String,String>]
attr_accessor :labels
# The name of the session. This is always system-assigned; values provided
# when creating a session are ignored.
# Corresponds to the JSON property `name`
# @return [String]
attr_accessor :name
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@approximate_last_use_time = args[:approximate_last_use_time] if args.key?(:approximate_last_use_time)
@create_time = args[:create_time] if args.key?(:create_time)
@labels = args[:labels] if args.key?(:labels)
@name = args[:name] if args.key?(:name)
end
end
# Request message for `SetIamPolicy` method.
class SetIamPolicyRequest
include Google::Apis::Core::Hashable
# Defines an Identity and Access Management (IAM) policy. It is used to
# specify access control policies for Cloud Platform resources.
# A `Policy` consists of a list of `bindings`. A `binding` binds a list of
# `members` to a `role`, where the members can be user accounts, Google groups,
# Google domains, and service accounts. A `role` is a named list of permissions
# defined by IAM.
# **JSON Example**
# `
# "bindings": [
# `
# "role": "roles/owner",
# "members": [
# "user:mike@example.com",
# "group:admins@example.com",
# "domain:google.com",
# "serviceAccount:my-other-app@appspot.gserviceaccount.com"
# ]
# `,
# `
# "role": "roles/viewer",
# "members": ["user:sean@example.com"]
# `
# ]
# `
# **YAML Example**
# bindings:
# - members:
# - user:mike@example.com
# - group:admins@example.com
# - domain:google.com
# - serviceAccount:my-other-app@appspot.gserviceaccount.com
# role: roles/owner
# - members:
# - user:sean@example.com
# role: roles/viewer
# For a description of IAM and its features, see the
# [IAM developer's guide](https://cloud.google.com/iam/docs).
# Corresponds to the JSON property `policy`
# @return [Google::Apis::SpannerV1::Policy]
attr_accessor :policy
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@policy = args[:policy] if args.key?(:policy)
end
end
# Condensed representation of a node and its subtree. Only present for
# `SCALAR` PlanNode(s).
class ShortRepresentation
include Google::Apis::Core::Hashable
# A string representation of the expression subtree rooted at this node.
# Corresponds to the JSON property `description`
# @return [String]
attr_accessor :description
# A mapping of (subquery variable name) -> (subquery node id) for cases
# where the `description` string of this node references a `SCALAR`
# subquery contained in the expression subtree rooted at this node. The
# referenced `SCALAR` subquery may not necessarily be a direct child of
# this node.
# Corresponds to the JSON property `subqueries`
# @return [Hash<String,Fixnum>]
attr_accessor :subqueries
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@description = args[:description] if args.key?(:description)
@subqueries = args[:subqueries] if args.key?(:subqueries)
end
end
# A single DML statement.
class Statement
include Google::Apis::Core::Hashable
# It is not always possible for Cloud Spanner to infer the right SQL type
# from a JSON value. For example, values of type `BYTES` and values
# of type `STRING` both appear in params as JSON strings.
# In these cases, `param_types` can be used to specify the exact
# SQL type for some or all of the SQL statement parameters. See the
# definition of Type for more information
# about SQL types.
# Corresponds to the JSON property `paramTypes`
# @return [Hash<String,Google::Apis::SpannerV1::Type>]
attr_accessor :param_types
# The DML string can contain parameter placeholders. A parameter
# placeholder consists of `'@'` followed by the parameter
# name. Parameter names consist of any combination of letters,
# numbers, and underscores.
# Parameters can appear anywhere that a literal value is expected. The
# same parameter name can be used more than once, for example:
# `"WHERE id > @msg_id AND id < @msg_id + 100"`
# It is an error to execute an SQL statement with unbound parameters.
# Parameter values are specified using `params`, which is a JSON
# object whose keys are parameter names, and whose values are the
# corresponding parameter values.
# Corresponds to the JSON property `params`
# @return [Hash<String,Object>]
attr_accessor :params
# Required. The DML string.
# Corresponds to the JSON property `sql`
# @return [String]
attr_accessor :sql
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@param_types = args[:param_types] if args.key?(:param_types)
@params = args[:params] if args.key?(:params)
@sql = args[:sql] if args.key?(:sql)
end
end
# The `Status` type defines a logical error model that is suitable for
# different programming environments, including REST APIs and RPC APIs. It is
# used by [gRPC](https://github.com/grpc). Each `Status` message contains
# three pieces of data: error code, error message, and error details.
# You can find out more about this error model and how to work with it in the
# [API Design Guide](https://cloud.google.com/apis/design/errors).
class Status
include Google::Apis::Core::Hashable
# The status code, which should be an enum value of google.rpc.Code.
# Corresponds to the JSON property `code`
# @return [Fixnum]
attr_accessor :code
# A list of messages that carry the error details. There is a common set of
# message types for APIs to use.
# Corresponds to the JSON property `details`
# @return [Array<Hash<String,Object>>]
attr_accessor :details
# A developer-facing error message, which should be in English. Any
# user-facing error message should be localized and sent in the
# google.rpc.Status.details field, or localized by the client.
# Corresponds to the JSON property `message`
# @return [String]
attr_accessor :message
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@code = args[:code] if args.key?(:code)
@details = args[:details] if args.key?(:details)
@message = args[:message] if args.key?(:message)
end
end
# `StructType` defines the fields of a STRUCT type.
class StructType
include Google::Apis::Core::Hashable
# The list of fields that make up this struct. Order is
# significant, because values of this struct type are represented as
# lists, where the order of field values matches the order of
# fields in the StructType. In turn, the order of fields
# matches the order of columns in a read request, or the order of
# fields in the `SELECT` clause of a query.
# Corresponds to the JSON property `fields`
# @return [Array<Google::Apis::SpannerV1::Field>]
attr_accessor :fields
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@fields = args[:fields] if args.key?(:fields)
end
end
# Request message for `TestIamPermissions` method.
class TestIamPermissionsRequest
include Google::Apis::Core::Hashable
# REQUIRED: The set of permissions to check for 'resource'.
# Permissions with wildcards (such as '*', 'spanner.*', 'spanner.instances.*')
# are not allowed.
# Corresponds to the JSON property `permissions`
# @return [Array<String>]
attr_accessor :permissions
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@permissions = args[:permissions] if args.key?(:permissions)
end
end
# Response message for `TestIamPermissions` method.
class TestIamPermissionsResponse
include Google::Apis::Core::Hashable
# A subset of `TestPermissionsRequest.permissions` that the caller is
# allowed.
# Corresponds to the JSON property `permissions`
# @return [Array<String>]
attr_accessor :permissions
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@permissions = args[:permissions] if args.key?(:permissions)
end
end
# A transaction.
class Transaction
include Google::Apis::Core::Hashable
# `id` may be used to identify the transaction in subsequent
# Read,
# ExecuteSql,
# Commit, or
# Rollback calls.
# Single-use read-only transactions do not have IDs, because
# single-use transactions do not support multiple requests.
# Corresponds to the JSON property `id`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :id
# For snapshot read-only transactions, the read timestamp chosen
# for the transaction. Not returned by default: see
# TransactionOptions.ReadOnly.return_read_timestamp.
# A timestamp in RFC3339 UTC \"Zulu\" format, accurate to nanoseconds.
# Example: `"2014-10-02T15:01:23.045123456Z"`.
# Corresponds to the JSON property `readTimestamp`
# @return [String]
attr_accessor :read_timestamp
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@id = args[:id] if args.key?(:id)
@read_timestamp = args[:read_timestamp] if args.key?(:read_timestamp)
end
end
# # Transactions
# Each session can have at most one active transaction at a time. After the
# active transaction is completed, the session can immediately be
# re-used for the next transaction. It is not necessary to create a
# new session for each transaction.
# # Transaction Modes
# Cloud Spanner supports three transaction modes:
# 1. Locking read-write. This type of transaction is the only way
# to write data into Cloud Spanner. These transactions rely on
# pessimistic locking and, if necessary, two-phase commit.
# Locking read-write transactions may abort, requiring the
# application to retry.
# 2. Snapshot read-only. This transaction type provides guaranteed
# consistency across several reads, but does not allow
# writes. Snapshot read-only transactions can be configured to
# read at timestamps in the past. Snapshot read-only
# transactions do not need to be committed.
# 3. Partitioned DML. This type of transaction is used to execute
# a single Partitioned DML statement. Partitioned DML partitions
# the key space and runs the DML statement over each partition
# in parallel using separate, internal transactions that commit
# independently. Partitioned DML transactions do not need to be
# committed.
# For transactions that only read, snapshot read-only transactions
# provide simpler semantics and are almost always faster. In
# particular, read-only transactions do not take locks, so they do
# not conflict with read-write transactions. As a consequence of not
# taking locks, they also do not abort, so retry loops are not needed.
# Transactions may only read/write data in a single database. They
# may, however, read/write data in different tables within that
# database.
# ## Locking Read-Write Transactions
# Locking transactions may be used to atomically read-modify-write
# data anywhere in a database. This type of transaction is externally
# consistent.
# Clients should attempt to minimize the amount of time a transaction
# is active. Faster transactions commit with higher probability
# and cause less contention. Cloud Spanner attempts to keep read locks
# active as long as the transaction continues to do reads, and the
# transaction has not been terminated by
# Commit or
# Rollback. Long periods of
# inactivity at the client may cause Cloud Spanner to release a
# transaction's locks and abort it.
# Conceptually, a read-write transaction consists of zero or more
# reads or SQL statements followed by
# Commit. At any time before
# Commit, the client can send a
# Rollback request to abort the
# transaction.
# ### Semantics
# Cloud Spanner can commit the transaction if all read locks it acquired
# are still valid at commit time, and it is able to acquire write
# locks for all writes. Cloud Spanner can abort the transaction for any
# reason. If a commit attempt returns `ABORTED`, Cloud Spanner guarantees
# that the transaction has not modified any user data in Cloud Spanner.
# Unless the transaction commits, Cloud Spanner makes no guarantees about
# how long the transaction's locks were held for. It is an error to
# use Cloud Spanner locks for any sort of mutual exclusion other than
# between Cloud Spanner transactions themselves.
# ### Retrying Aborted Transactions
# When a transaction aborts, the application can choose to retry the
# whole transaction again. To maximize the chances of successfully
# committing the retry, the client should execute the retry in the
# same session as the original attempt. The original session's lock
# priority increases with each consecutive abort, meaning that each
# attempt has a slightly better chance of success than the previous.
# Under some circumstances (e.g., many transactions attempting to
# modify the same row(s)), a transaction can abort many times in a
# short period before successfully committing. Thus, it is not a good
# idea to cap the number of retries a transaction can attempt;
# instead, it is better to limit the total amount of wall time spent
# retrying.
# ### Idle Transactions
# A transaction is considered idle if it has no outstanding reads or
# SQL queries and has not started a read or SQL query within the last 10
# seconds. Idle transactions can be aborted by Cloud Spanner so that they
# don't hold on to locks indefinitely. In that case, the commit will
# fail with error `ABORTED`.
# If this behavior is undesirable, periodically executing a simple
# SQL query in the transaction (e.g., `SELECT 1`) prevents the
# transaction from becoming idle.
# ## Snapshot Read-Only Transactions
# Snapshot read-only transactions provides a simpler method than
# locking read-write transactions for doing several consistent
# reads. However, this type of transaction does not support writes.
# Snapshot transactions do not take locks. Instead, they work by
# choosing a Cloud Spanner timestamp, then executing all reads at that
# timestamp. Since they do not acquire locks, they do not block
# concurrent read-write transactions.
# Unlike locking read-write transactions, snapshot read-only
# transactions never abort. They can fail if the chosen read
# timestamp is garbage collected; however, the default garbage
# collection policy is generous enough that most applications do not
# need to worry about this in practice.
# Snapshot read-only transactions do not need to call
# Commit or
# Rollback (and in fact are not
# permitted to do so).
# To execute a snapshot transaction, the client specifies a timestamp
# bound, which tells Cloud Spanner how to choose a read timestamp.
# The types of timestamp bound are:
# - Strong (the default).
# - Bounded staleness.
# - Exact staleness.
# If the Cloud Spanner database to be read is geographically distributed,
# stale read-only transactions can execute more quickly than strong
# or read-write transaction, because they are able to execute far
# from the leader replica.
# Each type of timestamp bound is discussed in detail below.
# ### Strong
# Strong reads are guaranteed to see the effects of all transactions
# that have committed before the start of the read. Furthermore, all
# rows yielded by a single read are consistent with each other -- if
# any part of the read observes a transaction, all parts of the read
# see the transaction.
# Strong reads are not repeatable: two consecutive strong read-only
# transactions might return inconsistent results if there are
# concurrent writes. If consistency across reads is required, the
# reads should be executed within a transaction or at an exact read
# timestamp.
# See TransactionOptions.ReadOnly.strong.
# ### Exact Staleness
# These timestamp bounds execute reads at a user-specified
# timestamp. Reads at a timestamp are guaranteed to see a consistent
# prefix of the global transaction history: they observe
# modifications done by all transactions with a commit timestamp <=
# the read timestamp, and observe none of the modifications done by
# transactions with a larger commit timestamp. They will block until
# all conflicting transactions that may be assigned commit timestamps
# <= the read timestamp have finished.
# The timestamp can either be expressed as an absolute Cloud Spanner commit
# timestamp or a staleness relative to the current time.
# These modes do not require a "negotiation phase" to pick a
# timestamp. As a result, they execute slightly faster than the
# equivalent boundedly stale concurrency modes. On the other hand,
# boundedly stale reads usually return fresher results.
# See TransactionOptions.ReadOnly.read_timestamp and
# TransactionOptions.ReadOnly.exact_staleness.
# ### Bounded Staleness
# Bounded staleness modes allow Cloud Spanner to pick the read timestamp,
# subject to a user-provided staleness bound. Cloud Spanner chooses the
# newest timestamp within the staleness bound that allows execution
# of the reads at the closest available replica without blocking.
# All rows yielded are consistent with each other -- if any part of
# the read observes a transaction, all parts of the read see the
# transaction. Boundedly stale reads are not repeatable: two stale
# reads, even if they use the same staleness bound, can execute at
# different timestamps and thus return inconsistent results.
# Boundedly stale reads execute in two phases: the first phase
# negotiates a timestamp among all replicas needed to serve the
# read. In the second phase, reads are executed at the negotiated
# timestamp.
# As a result of the two phase execution, bounded staleness reads are
# usually a little slower than comparable exact staleness
# reads. However, they are typically able to return fresher
# results, and are more likely to execute at the closest replica.
# Because the timestamp negotiation requires up-front knowledge of
# which rows will be read, it can only be used with single-use
# read-only transactions.
# See TransactionOptions.ReadOnly.max_staleness and
# TransactionOptions.ReadOnly.min_read_timestamp.
# ### Old Read Timestamps and Garbage Collection
# Cloud Spanner continuously garbage collects deleted and overwritten data
# in the background to reclaim storage space. This process is known
# as "version GC". By default, version GC reclaims versions after they
# are one hour old. Because of this, Cloud Spanner cannot perform reads
# at read timestamps more than one hour in the past. This
# restriction also applies to in-progress reads and/or SQL queries whose
# timestamp become too old while executing. Reads and SQL queries with
# too-old read timestamps fail with the error `FAILED_PRECONDITION`.
# ## Partitioned DML Transactions
# Partitioned DML transactions are used to execute DML statements with a
# different execution strategy that provides different, and often better,
# scalability properties for large, table-wide operations than DML in a
# ReadWrite transaction. Smaller scoped statements, such as an OLTP workload,
# should prefer using ReadWrite transactions.
# Partitioned DML partitions the keyspace and runs the DML statement on each
# partition in separate, internal transactions. These transactions commit
# automatically when complete, and run independently from one another.
# To reduce lock contention, this execution strategy only acquires read locks
# on rows that match the WHERE clause of the statement. Additionally, the
# smaller per-partition transactions hold locks for less time.
# That said, Partitioned DML is not a drop-in replacement for standard DML used
# in ReadWrite transactions.
# - The DML statement must be fully-partitionable. Specifically, the statement
# must be expressible as the union of many statements which each access only
# a single row of the table.
# - The statement is not applied atomically to all rows of the table. Rather,
# the statement is applied atomically to partitions of the table, in
# independent transactions. Secondary index rows are updated atomically
# with the base table rows.
# - Partitioned DML does not guarantee exactly-once execution semantics
# against a partition. The statement will be applied at least once to each
# partition. It is strongly recommended that the DML statement should be
# idempotent to avoid unexpected results. For instance, it is potentially
# dangerous to run a statement such as
# `UPDATE table SET column = column + 1` as it could be run multiple times
# against some rows.
# - The partitions are committed automatically - there is no support for
# Commit or Rollback. If the call returns an error, or if the client issuing
# the ExecuteSql call dies, it is possible that some rows had the statement
# executed on them successfully. It is also possible that statement was
# never executed against other rows.
# - Partitioned DML transactions may only contain the execution of a single
# DML statement via ExecuteSql or ExecuteStreamingSql.
# - If any error is encountered during the execution of the partitioned DML
# operation (for instance, a UNIQUE INDEX violation, division by zero, or a
# value that cannot be stored due to schema constraints), then the
# operation is stopped at that point and an error is returned. It is
# possible that at this point, some partitions have been committed (or even
# committed multiple times), and other partitions have not been run at all.
# Given the above, Partitioned DML is good fit for large, database-wide,
# operations that are idempotent, such as deleting old rows from a very large
# table.
class TransactionOptions
include Google::Apis::Core::Hashable
# Message type to initiate a Partitioned DML transaction.
# Corresponds to the JSON property `partitionedDml`
# @return [Google::Apis::SpannerV1::PartitionedDml]
attr_accessor :partitioned_dml
# Message type to initiate a read-only transaction.
# Corresponds to the JSON property `readOnly`
# @return [Google::Apis::SpannerV1::ReadOnly]
attr_accessor :read_only
# Message type to initiate a read-write transaction. Currently this
# transaction type has no options.
# Corresponds to the JSON property `readWrite`
# @return [Google::Apis::SpannerV1::ReadWrite]
attr_accessor :read_write
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@partitioned_dml = args[:partitioned_dml] if args.key?(:partitioned_dml)
@read_only = args[:read_only] if args.key?(:read_only)
@read_write = args[:read_write] if args.key?(:read_write)
end
end
# This message is used to select the transaction in which a
# Read or
# ExecuteSql call runs.
# See TransactionOptions for more information about transactions.
class TransactionSelector
include Google::Apis::Core::Hashable
# # Transactions
# Each session can have at most one active transaction at a time. After the
# active transaction is completed, the session can immediately be
# re-used for the next transaction. It is not necessary to create a
# new session for each transaction.
# # Transaction Modes
# Cloud Spanner supports three transaction modes:
# 1. Locking read-write. This type of transaction is the only way
# to write data into Cloud Spanner. These transactions rely on
# pessimistic locking and, if necessary, two-phase commit.
# Locking read-write transactions may abort, requiring the
# application to retry.
# 2. Snapshot read-only. This transaction type provides guaranteed
# consistency across several reads, but does not allow
# writes. Snapshot read-only transactions can be configured to
# read at timestamps in the past. Snapshot read-only
# transactions do not need to be committed.
# 3. Partitioned DML. This type of transaction is used to execute
# a single Partitioned DML statement. Partitioned DML partitions
# the key space and runs the DML statement over each partition
# in parallel using separate, internal transactions that commit
# independently. Partitioned DML transactions do not need to be
# committed.
# For transactions that only read, snapshot read-only transactions
# provide simpler semantics and are almost always faster. In
# particular, read-only transactions do not take locks, so they do
# not conflict with read-write transactions. As a consequence of not
# taking locks, they also do not abort, so retry loops are not needed.
# Transactions may only read/write data in a single database. They
# may, however, read/write data in different tables within that
# database.
# ## Locking Read-Write Transactions
# Locking transactions may be used to atomically read-modify-write
# data anywhere in a database. This type of transaction is externally
# consistent.
# Clients should attempt to minimize the amount of time a transaction
# is active. Faster transactions commit with higher probability
# and cause less contention. Cloud Spanner attempts to keep read locks
# active as long as the transaction continues to do reads, and the
# transaction has not been terminated by
# Commit or
# Rollback. Long periods of
# inactivity at the client may cause Cloud Spanner to release a
# transaction's locks and abort it.
# Conceptually, a read-write transaction consists of zero or more
# reads or SQL statements followed by
# Commit. At any time before
# Commit, the client can send a
# Rollback request to abort the
# transaction.
# ### Semantics
# Cloud Spanner can commit the transaction if all read locks it acquired
# are still valid at commit time, and it is able to acquire write
# locks for all writes. Cloud Spanner can abort the transaction for any
# reason. If a commit attempt returns `ABORTED`, Cloud Spanner guarantees
# that the transaction has not modified any user data in Cloud Spanner.
# Unless the transaction commits, Cloud Spanner makes no guarantees about
# how long the transaction's locks were held for. It is an error to
# use Cloud Spanner locks for any sort of mutual exclusion other than
# between Cloud Spanner transactions themselves.
# ### Retrying Aborted Transactions
# When a transaction aborts, the application can choose to retry the
# whole transaction again. To maximize the chances of successfully
# committing the retry, the client should execute the retry in the
# same session as the original attempt. The original session's lock
# priority increases with each consecutive abort, meaning that each
# attempt has a slightly better chance of success than the previous.
# Under some circumstances (e.g., many transactions attempting to
# modify the same row(s)), a transaction can abort many times in a
# short period before successfully committing. Thus, it is not a good
# idea to cap the number of retries a transaction can attempt;
# instead, it is better to limit the total amount of wall time spent
# retrying.
# ### Idle Transactions
# A transaction is considered idle if it has no outstanding reads or
# SQL queries and has not started a read or SQL query within the last 10
# seconds. Idle transactions can be aborted by Cloud Spanner so that they
# don't hold on to locks indefinitely. In that case, the commit will
# fail with error `ABORTED`.
# If this behavior is undesirable, periodically executing a simple
# SQL query in the transaction (e.g., `SELECT 1`) prevents the
# transaction from becoming idle.
# ## Snapshot Read-Only Transactions
# Snapshot read-only transactions provides a simpler method than
# locking read-write transactions for doing several consistent
# reads. However, this type of transaction does not support writes.
# Snapshot transactions do not take locks. Instead, they work by
# choosing a Cloud Spanner timestamp, then executing all reads at that
# timestamp. Since they do not acquire locks, they do not block
# concurrent read-write transactions.
# Unlike locking read-write transactions, snapshot read-only
# transactions never abort. They can fail if the chosen read
# timestamp is garbage collected; however, the default garbage
# collection policy is generous enough that most applications do not
# need to worry about this in practice.
# Snapshot read-only transactions do not need to call
# Commit or
# Rollback (and in fact are not
# permitted to do so).
# To execute a snapshot transaction, the client specifies a timestamp
# bound, which tells Cloud Spanner how to choose a read timestamp.
# The types of timestamp bound are:
# - Strong (the default).
# - Bounded staleness.
# - Exact staleness.
# If the Cloud Spanner database to be read is geographically distributed,
# stale read-only transactions can execute more quickly than strong
# or read-write transaction, because they are able to execute far
# from the leader replica.
# Each type of timestamp bound is discussed in detail below.
# ### Strong
# Strong reads are guaranteed to see the effects of all transactions
# that have committed before the start of the read. Furthermore, all
# rows yielded by a single read are consistent with each other -- if
# any part of the read observes a transaction, all parts of the read
# see the transaction.
# Strong reads are not repeatable: two consecutive strong read-only
# transactions might return inconsistent results if there are
# concurrent writes. If consistency across reads is required, the
# reads should be executed within a transaction or at an exact read
# timestamp.
# See TransactionOptions.ReadOnly.strong.
# ### Exact Staleness
# These timestamp bounds execute reads at a user-specified
# timestamp. Reads at a timestamp are guaranteed to see a consistent
# prefix of the global transaction history: they observe
# modifications done by all transactions with a commit timestamp <=
# the read timestamp, and observe none of the modifications done by
# transactions with a larger commit timestamp. They will block until
# all conflicting transactions that may be assigned commit timestamps
# <= the read timestamp have finished.
# The timestamp can either be expressed as an absolute Cloud Spanner commit
# timestamp or a staleness relative to the current time.
# These modes do not require a "negotiation phase" to pick a
# timestamp. As a result, they execute slightly faster than the
# equivalent boundedly stale concurrency modes. On the other hand,
# boundedly stale reads usually return fresher results.
# See TransactionOptions.ReadOnly.read_timestamp and
# TransactionOptions.ReadOnly.exact_staleness.
# ### Bounded Staleness
# Bounded staleness modes allow Cloud Spanner to pick the read timestamp,
# subject to a user-provided staleness bound. Cloud Spanner chooses the
# newest timestamp within the staleness bound that allows execution
# of the reads at the closest available replica without blocking.
# All rows yielded are consistent with each other -- if any part of
# the read observes a transaction, all parts of the read see the
# transaction. Boundedly stale reads are not repeatable: two stale
# reads, even if they use the same staleness bound, can execute at
# different timestamps and thus return inconsistent results.
# Boundedly stale reads execute in two phases: the first phase
# negotiates a timestamp among all replicas needed to serve the
# read. In the second phase, reads are executed at the negotiated
# timestamp.
# As a result of the two phase execution, bounded staleness reads are
# usually a little slower than comparable exact staleness
# reads. However, they are typically able to return fresher
# results, and are more likely to execute at the closest replica.
# Because the timestamp negotiation requires up-front knowledge of
# which rows will be read, it can only be used with single-use
# read-only transactions.
# See TransactionOptions.ReadOnly.max_staleness and
# TransactionOptions.ReadOnly.min_read_timestamp.
# ### Old Read Timestamps and Garbage Collection
# Cloud Spanner continuously garbage collects deleted and overwritten data
# in the background to reclaim storage space. This process is known
# as "version GC". By default, version GC reclaims versions after they
# are one hour old. Because of this, Cloud Spanner cannot perform reads
# at read timestamps more than one hour in the past. This
# restriction also applies to in-progress reads and/or SQL queries whose
# timestamp become too old while executing. Reads and SQL queries with
# too-old read timestamps fail with the error `FAILED_PRECONDITION`.
# ## Partitioned DML Transactions
# Partitioned DML transactions are used to execute DML statements with a
# different execution strategy that provides different, and often better,
# scalability properties for large, table-wide operations than DML in a
# ReadWrite transaction. Smaller scoped statements, such as an OLTP workload,
# should prefer using ReadWrite transactions.
# Partitioned DML partitions the keyspace and runs the DML statement on each
# partition in separate, internal transactions. These transactions commit
# automatically when complete, and run independently from one another.
# To reduce lock contention, this execution strategy only acquires read locks
# on rows that match the WHERE clause of the statement. Additionally, the
# smaller per-partition transactions hold locks for less time.
# That said, Partitioned DML is not a drop-in replacement for standard DML used
# in ReadWrite transactions.
# - The DML statement must be fully-partitionable. Specifically, the statement
# must be expressible as the union of many statements which each access only
# a single row of the table.
# - The statement is not applied atomically to all rows of the table. Rather,
# the statement is applied atomically to partitions of the table, in
# independent transactions. Secondary index rows are updated atomically
# with the base table rows.
# - Partitioned DML does not guarantee exactly-once execution semantics
# against a partition. The statement will be applied at least once to each
# partition. It is strongly recommended that the DML statement should be
# idempotent to avoid unexpected results. For instance, it is potentially
# dangerous to run a statement such as
# `UPDATE table SET column = column + 1` as it could be run multiple times
# against some rows.
# - The partitions are committed automatically - there is no support for
# Commit or Rollback. If the call returns an error, or if the client issuing
# the ExecuteSql call dies, it is possible that some rows had the statement
# executed on them successfully. It is also possible that statement was
# never executed against other rows.
# - Partitioned DML transactions may only contain the execution of a single
# DML statement via ExecuteSql or ExecuteStreamingSql.
# - If any error is encountered during the execution of the partitioned DML
# operation (for instance, a UNIQUE INDEX violation, division by zero, or a
# value that cannot be stored due to schema constraints), then the
# operation is stopped at that point and an error is returned. It is
# possible that at this point, some partitions have been committed (or even
# committed multiple times), and other partitions have not been run at all.
# Given the above, Partitioned DML is good fit for large, database-wide,
# operations that are idempotent, such as deleting old rows from a very large
# table.
# Corresponds to the JSON property `begin`
# @return [Google::Apis::SpannerV1::TransactionOptions]
attr_accessor :begin
# Execute the read or SQL query in a previously-started transaction.
# Corresponds to the JSON property `id`
# NOTE: Values are automatically base64 encoded/decoded in the client library.
# @return [String]
attr_accessor :id
# # Transactions
# Each session can have at most one active transaction at a time. After the
# active transaction is completed, the session can immediately be
# re-used for the next transaction. It is not necessary to create a
# new session for each transaction.
# # Transaction Modes
# Cloud Spanner supports three transaction modes:
# 1. Locking read-write. This type of transaction is the only way
# to write data into Cloud Spanner. These transactions rely on
# pessimistic locking and, if necessary, two-phase commit.
# Locking read-write transactions may abort, requiring the
# application to retry.
# 2. Snapshot read-only. This transaction type provides guaranteed
# consistency across several reads, but does not allow
# writes. Snapshot read-only transactions can be configured to
# read at timestamps in the past. Snapshot read-only
# transactions do not need to be committed.
# 3. Partitioned DML. This type of transaction is used to execute
# a single Partitioned DML statement. Partitioned DML partitions
# the key space and runs the DML statement over each partition
# in parallel using separate, internal transactions that commit
# independently. Partitioned DML transactions do not need to be
# committed.
# For transactions that only read, snapshot read-only transactions
# provide simpler semantics and are almost always faster. In
# particular, read-only transactions do not take locks, so they do
# not conflict with read-write transactions. As a consequence of not
# taking locks, they also do not abort, so retry loops are not needed.
# Transactions may only read/write data in a single database. They
# may, however, read/write data in different tables within that
# database.
# ## Locking Read-Write Transactions
# Locking transactions may be used to atomically read-modify-write
# data anywhere in a database. This type of transaction is externally
# consistent.
# Clients should attempt to minimize the amount of time a transaction
# is active. Faster transactions commit with higher probability
# and cause less contention. Cloud Spanner attempts to keep read locks
# active as long as the transaction continues to do reads, and the
# transaction has not been terminated by
# Commit or
# Rollback. Long periods of
# inactivity at the client may cause Cloud Spanner to release a
# transaction's locks and abort it.
# Conceptually, a read-write transaction consists of zero or more
# reads or SQL statements followed by
# Commit. At any time before
# Commit, the client can send a
# Rollback request to abort the
# transaction.
# ### Semantics
# Cloud Spanner can commit the transaction if all read locks it acquired
# are still valid at commit time, and it is able to acquire write
# locks for all writes. Cloud Spanner can abort the transaction for any
# reason. If a commit attempt returns `ABORTED`, Cloud Spanner guarantees
# that the transaction has not modified any user data in Cloud Spanner.
# Unless the transaction commits, Cloud Spanner makes no guarantees about
# how long the transaction's locks were held for. It is an error to
# use Cloud Spanner locks for any sort of mutual exclusion other than
# between Cloud Spanner transactions themselves.
# ### Retrying Aborted Transactions
# When a transaction aborts, the application can choose to retry the
# whole transaction again. To maximize the chances of successfully
# committing the retry, the client should execute the retry in the
# same session as the original attempt. The original session's lock
# priority increases with each consecutive abort, meaning that each
# attempt has a slightly better chance of success than the previous.
# Under some circumstances (e.g., many transactions attempting to
# modify the same row(s)), a transaction can abort many times in a
# short period before successfully committing. Thus, it is not a good
# idea to cap the number of retries a transaction can attempt;
# instead, it is better to limit the total amount of wall time spent
# retrying.
# ### Idle Transactions
# A transaction is considered idle if it has no outstanding reads or
# SQL queries and has not started a read or SQL query within the last 10
# seconds. Idle transactions can be aborted by Cloud Spanner so that they
# don't hold on to locks indefinitely. In that case, the commit will
# fail with error `ABORTED`.
# If this behavior is undesirable, periodically executing a simple
# SQL query in the transaction (e.g., `SELECT 1`) prevents the
# transaction from becoming idle.
# ## Snapshot Read-Only Transactions
# Snapshot read-only transactions provides a simpler method than
# locking read-write transactions for doing several consistent
# reads. However, this type of transaction does not support writes.
# Snapshot transactions do not take locks. Instead, they work by
# choosing a Cloud Spanner timestamp, then executing all reads at that
# timestamp. Since they do not acquire locks, they do not block
# concurrent read-write transactions.
# Unlike locking read-write transactions, snapshot read-only
# transactions never abort. They can fail if the chosen read
# timestamp is garbage collected; however, the default garbage
# collection policy is generous enough that most applications do not
# need to worry about this in practice.
# Snapshot read-only transactions do not need to call
# Commit or
# Rollback (and in fact are not
# permitted to do so).
# To execute a snapshot transaction, the client specifies a timestamp
# bound, which tells Cloud Spanner how to choose a read timestamp.
# The types of timestamp bound are:
# - Strong (the default).
# - Bounded staleness.
# - Exact staleness.
# If the Cloud Spanner database to be read is geographically distributed,
# stale read-only transactions can execute more quickly than strong
# or read-write transaction, because they are able to execute far
# from the leader replica.
# Each type of timestamp bound is discussed in detail below.
# ### Strong
# Strong reads are guaranteed to see the effects of all transactions
# that have committed before the start of the read. Furthermore, all
# rows yielded by a single read are consistent with each other -- if
# any part of the read observes a transaction, all parts of the read
# see the transaction.
# Strong reads are not repeatable: two consecutive strong read-only
# transactions might return inconsistent results if there are
# concurrent writes. If consistency across reads is required, the
# reads should be executed within a transaction or at an exact read
# timestamp.
# See TransactionOptions.ReadOnly.strong.
# ### Exact Staleness
# These timestamp bounds execute reads at a user-specified
# timestamp. Reads at a timestamp are guaranteed to see a consistent
# prefix of the global transaction history: they observe
# modifications done by all transactions with a commit timestamp <=
# the read timestamp, and observe none of the modifications done by
# transactions with a larger commit timestamp. They will block until
# all conflicting transactions that may be assigned commit timestamps
# <= the read timestamp have finished.
# The timestamp can either be expressed as an absolute Cloud Spanner commit
# timestamp or a staleness relative to the current time.
# These modes do not require a "negotiation phase" to pick a
# timestamp. As a result, they execute slightly faster than the
# equivalent boundedly stale concurrency modes. On the other hand,
# boundedly stale reads usually return fresher results.
# See TransactionOptions.ReadOnly.read_timestamp and
# TransactionOptions.ReadOnly.exact_staleness.
# ### Bounded Staleness
# Bounded staleness modes allow Cloud Spanner to pick the read timestamp,
# subject to a user-provided staleness bound. Cloud Spanner chooses the
# newest timestamp within the staleness bound that allows execution
# of the reads at the closest available replica without blocking.
# All rows yielded are consistent with each other -- if any part of
# the read observes a transaction, all parts of the read see the
# transaction. Boundedly stale reads are not repeatable: two stale
# reads, even if they use the same staleness bound, can execute at
# different timestamps and thus return inconsistent results.
# Boundedly stale reads execute in two phases: the first phase
# negotiates a timestamp among all replicas needed to serve the
# read. In the second phase, reads are executed at the negotiated
# timestamp.
# As a result of the two phase execution, bounded staleness reads are
# usually a little slower than comparable exact staleness
# reads. However, they are typically able to return fresher
# results, and are more likely to execute at the closest replica.
# Because the timestamp negotiation requires up-front knowledge of
# which rows will be read, it can only be used with single-use
# read-only transactions.
# See TransactionOptions.ReadOnly.max_staleness and
# TransactionOptions.ReadOnly.min_read_timestamp.
# ### Old Read Timestamps and Garbage Collection
# Cloud Spanner continuously garbage collects deleted and overwritten data
# in the background to reclaim storage space. This process is known
# as "version GC". By default, version GC reclaims versions after they
# are one hour old. Because of this, Cloud Spanner cannot perform reads
# at read timestamps more than one hour in the past. This
# restriction also applies to in-progress reads and/or SQL queries whose
# timestamp become too old while executing. Reads and SQL queries with
# too-old read timestamps fail with the error `FAILED_PRECONDITION`.
# ## Partitioned DML Transactions
# Partitioned DML transactions are used to execute DML statements with a
# different execution strategy that provides different, and often better,
# scalability properties for large, table-wide operations than DML in a
# ReadWrite transaction. Smaller scoped statements, such as an OLTP workload,
# should prefer using ReadWrite transactions.
# Partitioned DML partitions the keyspace and runs the DML statement on each
# partition in separate, internal transactions. These transactions commit
# automatically when complete, and run independently from one another.
# To reduce lock contention, this execution strategy only acquires read locks
# on rows that match the WHERE clause of the statement. Additionally, the
# smaller per-partition transactions hold locks for less time.
# That said, Partitioned DML is not a drop-in replacement for standard DML used
# in ReadWrite transactions.
# - The DML statement must be fully-partitionable. Specifically, the statement
# must be expressible as the union of many statements which each access only
# a single row of the table.
# - The statement is not applied atomically to all rows of the table. Rather,
# the statement is applied atomically to partitions of the table, in
# independent transactions. Secondary index rows are updated atomically
# with the base table rows.
# - Partitioned DML does not guarantee exactly-once execution semantics
# against a partition. The statement will be applied at least once to each
# partition. It is strongly recommended that the DML statement should be
# idempotent to avoid unexpected results. For instance, it is potentially
# dangerous to run a statement such as
# `UPDATE table SET column = column + 1` as it could be run multiple times
# against some rows.
# - The partitions are committed automatically - there is no support for
# Commit or Rollback. If the call returns an error, or if the client issuing
# the ExecuteSql call dies, it is possible that some rows had the statement
# executed on them successfully. It is also possible that statement was
# never executed against other rows.
# - Partitioned DML transactions may only contain the execution of a single
# DML statement via ExecuteSql or ExecuteStreamingSql.
# - If any error is encountered during the execution of the partitioned DML
# operation (for instance, a UNIQUE INDEX violation, division by zero, or a
# value that cannot be stored due to schema constraints), then the
# operation is stopped at that point and an error is returned. It is
# possible that at this point, some partitions have been committed (or even
# committed multiple times), and other partitions have not been run at all.
# Given the above, Partitioned DML is good fit for large, database-wide,
# operations that are idempotent, such as deleting old rows from a very large
# table.
# Corresponds to the JSON property `singleUse`
# @return [Google::Apis::SpannerV1::TransactionOptions]
attr_accessor :single_use
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@begin = args[:begin] if args.key?(:begin)
@id = args[:id] if args.key?(:id)
@single_use = args[:single_use] if args.key?(:single_use)
end
end
# `Type` indicates the type of a Cloud Spanner value, as might be stored in a
# table cell or returned from an SQL query.
class Type
include Google::Apis::Core::Hashable
# `Type` indicates the type of a Cloud Spanner value, as might be stored in a
# table cell or returned from an SQL query.
# Corresponds to the JSON property `arrayElementType`
# @return [Google::Apis::SpannerV1::Type]
attr_accessor :array_element_type
# Required. The TypeCode for this type.
# Corresponds to the JSON property `code`
# @return [String]
attr_accessor :code
# `StructType` defines the fields of a STRUCT type.
# Corresponds to the JSON property `structType`
# @return [Google::Apis::SpannerV1::StructType]
attr_accessor :struct_type
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@array_element_type = args[:array_element_type] if args.key?(:array_element_type)
@code = args[:code] if args.key?(:code)
@struct_type = args[:struct_type] if args.key?(:struct_type)
end
end
# Metadata type for the operation returned by
# UpdateDatabaseDdl.
class UpdateDatabaseDdlMetadata
include Google::Apis::Core::Hashable
# Reports the commit timestamps of all statements that have
# succeeded so far, where `commit_timestamps[i]` is the commit
# timestamp for the statement `statements[i]`.
# Corresponds to the JSON property `commitTimestamps`
# @return [Array<String>]
attr_accessor :commit_timestamps
# The database being modified.
# Corresponds to the JSON property `database`
# @return [String]
attr_accessor :database
# For an update this list contains all the statements. For an
# individual statement, this list contains only that statement.
# Corresponds to the JSON property `statements`
# @return [Array<String>]
attr_accessor :statements
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@commit_timestamps = args[:commit_timestamps] if args.key?(:commit_timestamps)
@database = args[:database] if args.key?(:database)
@statements = args[:statements] if args.key?(:statements)
end
end
# Enqueues the given DDL statements to be applied, in order but not
# necessarily all at once, to the database schema at some point (or
# points) in the future. The server checks that the statements
# are executable (syntactically valid, name tables that exist, etc.)
# before enqueueing them, but they may still fail upon
# later execution (e.g., if a statement from another batch of
# statements is applied first and it conflicts in some way, or if
# there is some data-related problem like a `NULL` value in a column to
# which `NOT NULL` would be added). If a statement fails, all
# subsequent statements in the batch are automatically cancelled.
# Each batch of statements is assigned a name which can be used with
# the Operations API to monitor
# progress. See the
# operation_id field for more
# details.
class UpdateDatabaseDdlRequest
include Google::Apis::Core::Hashable
# If empty, the new update request is assigned an
# automatically-generated operation ID. Otherwise, `operation_id`
# is used to construct the name of the resulting
# Operation.
# Specifying an explicit operation ID simplifies determining
# whether the statements were executed in the event that the
# UpdateDatabaseDdl call is replayed,
# or the return value is otherwise lost: the database and
# `operation_id` fields can be combined to form the
# name of the resulting
# longrunning.Operation: `<database>/operations/<operation_id>`.
# `operation_id` should be unique within the database, and must be
# a valid identifier: `a-z*`. Note that
# automatically-generated operation IDs always begin with an
# underscore. If the named operation already exists,
# UpdateDatabaseDdl returns
# `ALREADY_EXISTS`.
# Corresponds to the JSON property `operationId`
# @return [String]
attr_accessor :operation_id
# DDL statements to be applied to the database.
# Corresponds to the JSON property `statements`
# @return [Array<String>]
attr_accessor :statements
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@operation_id = args[:operation_id] if args.key?(:operation_id)
@statements = args[:statements] if args.key?(:statements)
end
end
# Metadata type for the operation returned by
# UpdateInstance.
class UpdateInstanceMetadata
include Google::Apis::Core::Hashable
# The time at which this operation was cancelled. If set, this operation is
# in the process of undoing itself (which is guaranteed to succeed) and
# cannot be cancelled again.
# Corresponds to the JSON property `cancelTime`
# @return [String]
attr_accessor :cancel_time
# The time at which this operation failed or was completed successfully.
# Corresponds to the JSON property `endTime`
# @return [String]
attr_accessor :end_time
# An isolated set of Cloud Spanner resources on which databases can be hosted.
# Corresponds to the JSON property `instance`
# @return [Google::Apis::SpannerV1::Instance]
attr_accessor :instance
# The time at which UpdateInstance
# request was received.
# Corresponds to the JSON property `startTime`
# @return [String]
attr_accessor :start_time
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@cancel_time = args[:cancel_time] if args.key?(:cancel_time)
@end_time = args[:end_time] if args.key?(:end_time)
@instance = args[:instance] if args.key?(:instance)
@start_time = args[:start_time] if args.key?(:start_time)
end
end
# The request for UpdateInstance.
class UpdateInstanceRequest
include Google::Apis::Core::Hashable
# Required. A mask specifying which fields in [][google.spanner.admin.instance.
# v1.UpdateInstanceRequest.instance] should be updated.
# The field mask must always be specified; this prevents any future fields in
# [][google.spanner.admin.instance.v1.Instance] from being erased accidentally
# by clients that do not know
# about them.
# Corresponds to the JSON property `fieldMask`
# @return [String]
attr_accessor :field_mask
# An isolated set of Cloud Spanner resources on which databases can be hosted.
# Corresponds to the JSON property `instance`
# @return [Google::Apis::SpannerV1::Instance]
attr_accessor :instance
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@field_mask = args[:field_mask] if args.key?(:field_mask)
@instance = args[:instance] if args.key?(:instance)
end
end
# Arguments to insert, update, insert_or_update, and
# replace operations.
class Write
include Google::Apis::Core::Hashable
# The names of the columns in table to be written.
# The list of columns must contain enough columns to allow
# Cloud Spanner to derive values for all primary key columns in the
# row(s) to be modified.
# Corresponds to the JSON property `columns`
# @return [Array<String>]
attr_accessor :columns
# Required. The table whose rows will be written.
# Corresponds to the JSON property `table`
# @return [String]
attr_accessor :table
# The values to be written. `values` can contain more than one
# list of values. If it does, then multiple rows are written, one
# for each entry in `values`. Each list in `values` must have
# exactly as many entries as there are entries in columns
# above. Sending multiple lists is equivalent to sending multiple
# `Mutation`s, each containing one `values` entry and repeating
# table and columns. Individual values in each list are
# encoded as described here.
# Corresponds to the JSON property `values`
# @return [Array<Array<Object>>]
attr_accessor :values
def initialize(**args)
update!(**args)
end
# Update properties of this object
def update!(**args)
@columns = args[:columns] if args.key?(:columns)
@table = args[:table] if args.key?(:table)
@values = args[:values] if args.key?(:values)
end
end
end
end
end
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