This interface defines pure-virtual methods for each of the user-facing overload sets in Table. This allows users to inject custom behavior (e.g., with a Google Mock object) in a Table object for use in their own tests.
This class opens a number of gRPC Channels upon its construction. These channels each initiate a connection to the Cloud Bigtable service. This is a relatively slow operation that can take milliseconds, so applications are advised to reuse DataConnection objects when possible.
The exact number of channels can be configured with the google::cloud::GrpcNumChannelsOption. If this option is not set, the class creates between 1 and 64 channels. The specific algorithm and number of channels is an implementation detail, and subject to change without notice.
Each request sent from the client library cycles through the channels in the connection pool in a round robin fashion.
Unused gRPC channels can enter an idle state. Refreshing them during a request may incur additional latency. To avoid this, the client library keeps connections open by refreshing the channels in a background thread. Advanced users can configure the frequency of the refreshes, or disable this feature, by using bigtable::MinConnectionRefreshOption and bigtable::MaxConnectionRefreshOption.
[[["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 page details the `DataConnection` class, which serves as an interface for connecting to the Cloud Bigtable Data API, enabling users to inject custom behaviors in `Table` objects for testing."],["The `DataConnection` class uses a pool of gRPC channels for connecting to the Bigtable service, and the number of these channels can be configured, with a default range of 1 to 64."],["The class supports various operations including single-row and bulk mutations, reading rows with different parameters and filters, sampling rows, and handling read-modify-write operations."],["`DataConnection` provides both synchronous and asynchronous operations, allowing for flexibility in handling data interactions with Bigtable, as seen in its list of virtual functions."],["The `DataConnection` object should be reused when possible due to the relatively slow operation of creating and opening channels."]]],[]]
