The ReadPartition class is a regular type that represents a single slice of a parallel Read operation.
Instances of ReadPartition are created by Client::PartitionRead. Once created, ReadPartition objects can be serialized, transmitted to separate processes, and used to read data in parallel using Client::Read. If data_boost is set, those requests will be executed using the independent compute resources of Cloud Spanner Data Boost.
Constructors
ReadPartition(ReadPartition const &)
Copy and move.
Parameter
Name
Description
ReadPartition const &
ReadPartition(ReadPartition &&)
Copy and move.
Parameter
Name
Description
ReadPartition &&
ReadPartition()
Constructs an instance of ReadPartition that does not specify any table or columns to be read.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-14 UTC."],[[["This webpage details the `ReadPartition` class in the Google Cloud Spanner C++ library, offering access to documentation for various versions, ranging from 2.11.0 to 2.37.0-rc."],["The `ReadPartition` class represents a single slice of a parallel Read operation, allowing data to be read in parallel by serializing the partition, transmitting to other processes, and using `Client::Read`."],["Instances of the `ReadPartition` class are generated via `Client::PartitionRead`, and you can utilize the `data_boost` feature to make the requests use independent Cloud Spanner Data Boost compute resources."],["The `ReadPartition` class has methods to get the `TableName`, `ColumnNames`, and `ReadOptions`."],["The `ReadPartition` class has constructors and operators for copying, moving, and default initialization, with the default constructor not specifying any tables or columns to read."]]],[]]
