Java idiomatic client for Cloud Bigtable.
If you are using Maven, add this to your pom.xml file
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-bigtable</artifactId>
<version>1.15.0</version>
</dependency>If you are using Gradle, add this to your dependencies
compile 'com.google.cloud:google-cloud-bigtable:1.15.0'If you are using SBT, add this to your dependencies
libraryDependencies += "com.google.cloud" % "google-cloud-bigtable" % "1.15.0"See the Authentication section in the base directory's README.
For this tutorial, you will need a
Google Cloud Platform Console project with the Cloud Bigtable
API enabled. You will need to
enable billing to use Google Cloud Bigtable.
Follow these instructions to get your
project set up. You will also need to set up the local development environment by installing the
Google Cloud SDK and running the following commands in command line:
gcloud auth login.
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Be sure to activate the Cloud Bigtable API and the Cloud Bigtable Admin API under APIs & Services in the GCP Console to use Cloud Bigtable from your project.
See the Bigtable client library documentation (Admin API and Data API) to learn how to interact with Cloud Bigtable using this Client Library.
Cloud Bigtable is composed of instances, clusters, nodes and tables.
Instances are containers for clusters.
Clusters represent the actual Cloud Bigtable service. Each cluster belongs to a single Cloud Bigtable instance, and an instance can have up to 4 clusters. When your application sends requests to a Cloud Bigtable instance, those requests are actually handled by one of the clusters in the instance.
Each cluster in a production instance has 3 or more nodes, which are compute resources that Cloud Bigtable uses to manage your data.
Tables contain the actual data and are replicated across all of the clusters in an instance.
The Cloud Bigtable API consists of:
Allows callers to persist and query data in a table. It's exposed by BigtableDataClient.
Allows callers to create and manage instances, clusters, tables, and access permissions. This API is exposed by: BigtableInstanceAdminClient for Instance and Cluster level resources.
See BigtableTableAdminClient for table management.
See BigtableDataClient for the data client.
See BigtableInstanceAdminClient for the instance admin client.
See BigtableTableAdminClient for the table admin client.
The Cloud Bigtable API is split into 3 parts: Data API, Instance Admin API and Table Admin API.
Here is a code snippet showing simple usage of the Data API. Add the following imports at the top of your file:
import com.google.cloud.bigtable.data.v2.BigtableDataClient;
import com.google.cloud.bigtable.data.v2.models.Query;
import com.google.cloud.bigtable.data.v2.models.Row;Then, to make a query to Bigtable, use the following code:
// Instantiates a client
String projectId = "my-project";
String instanceId = "my-instance";
String tableId = "my-table";
// Create the client.
// Please note that creating the client is a very expensive operation
// and should only be done once and shared in an application.
BigtableDataClient dataClient = BigtableDataClient.create(projectId, instanceId);
try {
// Query a table
Query query = Query.create(tableId)
.range("a", "z")
.limit(26);
for (Row row : dataClient.readRows(query)) {
System.out.println(row.getKey());
}
} finally {
dataClient.close();
}The Admin APIs are similar. Here is a code snippet showing how to create a table. Add the following imports at the top of your file:
import static com.google.cloud.bigtable.admin.v2.models.GCRules.GCRULES;
import com.google.cloud.bigtable.admin.v2.BigtableTableAdminClient;
import com.google.cloud.bigtable.admin.v2.models.CreateTableRequest;
import com.google.cloud.bigtable.admin.v2.models.Table;Then, to create a table, use the following code:
String projectId = "my-instance";
String instanceId = "my-database";
BigtableTableAdminClient tableAdminClient = BigtableTableAdminClient
.create(projectId, instanceId);
try {
tableAdminClient.createTable(
CreateTableRequest.of("my-table")
.addFamily("my-family")
);
} finally {
tableAdminClient.close();
}TIP: If you are experiencing version conflicts with gRPC, see Version Conflicts.
Cloud Bigtable client supports OpenCensus Tracing, which gives insight into the client internals and aids in debugging production issues. By default, the functionality is disabled. For example to enable tracing using Google Stackdriver:
If you are using Maven, add this to your pom.xml file
<dependency>
<groupId>io.opencensus</groupId>
<artifactId>opencensus-impl</artifactId>
<version>0.26.0</version>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>io.opencensus</groupId>
<artifactId>opencensus-exporter-trace-stackdriver</artifactId>
<version>0.26.0</version>
<exclusions>
<exclusion>
<groupId>io.grpc</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>com.google.auth</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>If you are using Gradle, add this to your dependencies
compile 'io.opencensus:opencensus-impl:0.26.0'
compile 'io.opencensus:opencensus-exporter-trace-stackdriver:0.26.0'If you are using SBT, add this to your dependencies
libraryDependencies += "io.opencensus" % "opencensus-impl" % "0.26.0"
libraryDependencies += "io.opencensus" % "opencensus-exporter-trace-stackdriver" % "0.26.0"At the start of your application configure the exporter:
import io.opencensus.exporter.trace.stackdriver.StackdriverTraceConfiguration;
import io.opencensus.exporter.trace.stackdriver.StackdriverTraceExporter;
StackdriverTraceExporter.createAndRegister(
StackdriverTraceConfiguration.builder()
.setProjectId("YOUR_PROJECT_ID")
.build());By default traces are sampled at a rate of about 1/10,000. You can configure a higher rate by updating the active tracing params:
import io.opencensus.trace.Tracing;
import io.opencensus.trace.samplers.Samplers;
Tracing.getTraceConfig().updateActiveTraceParams(
Tracing.getTraceConfig().getActiveTraceParams().toBuilder()
.setSampler(Samplers.probabilitySampler(0.01))
.build()
);Cloud Bigtable client supports Opencensus Metrics,
which gives insight into the client internals and aids in debugging production issues.
All Cloud Bigtable Metrics are prefixed with cloud.google.com/java/bigtable/. The
metrics will be tagged with:
bigtable_project_id: the project that contains the target Bigtable instance. Please note that this id could be different from project that the client is running in and different from the project where the metrics are exported to.bigtable_instance_id: the instance id of the target Bigtable instancebigtable_app_profile_id: the app profile id that is being used to access the target Bigtable instance
-
cloud.google.com/java/bigtable/op_latency: A distribution of latency of each client method call, across all of it's RPC attempts. Tagged by operation name and final response status. -
cloud.google.com/java/bigtable/completed_ops: The total count of method invocations. Tagged by operation name and final response status. -
cloud.google.com/java/bigtable/read_rows_first_row_latency: A distribution of the latency of receiving the first row in a ReadRows operation. -
cloud.google.com/java/bigtable/attempt_latency: A distribution of latency of each client RPC, tagged by operation name and the attempt status. Under normal circumstances, this will be identical to op_latency. However, when the client receives transient errors, op_latency will be the sum of all attempt_latencies and the exponential delays -
cloud.google.com/java/bigtable/attempts_per_op: A distribution of attempts that each operation required, tagged by operation name and final operation status. Under normal circumstances, this will be 1.
By default, the functionality is disabled. For example to enable metrics using Google Stackdriver:
If you are using Maven, add this to your pom.xml file
<dependency>
<groupId>io.opencensus</groupId>
<artifactId>opencensus-impl</artifactId>
<version>0.26.0</version>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>io.opencensus</groupId>
<artifactId>opencensus-exporter-stats-stackdriver</artifactId>
<version>0.26.0</version>
<exclusions>
<exclusion>
<groupId>io.grpc</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>com.google.auth</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>If you are using Gradle, add this to your dependencies
compile 'io.opencensus:opencensus-impl:0.26.0'
compile 'io.opencensus:opencensus-exporter-stats-stackdriver:0.26.0'If you are using SBT, add this to your dependencies
libraryDependencies += "io.opencensus" % "opencensus-impl" % "0.26.0"
libraryDependencies += "io.opencensus" % "opencensus-exporter-stats-stackdriver" % "0.26.0"At the start of your application configure the exporter and enable the Bigtable stats views:
import io.opencensus.exporter.stats.stackdriver.StackdriverStatsConfiguration;
import io.opencensus.exporter.stats.stackdriver.StackdriverStatsExporter;
StackdriverStatsExporter.createAndRegister(
StackdriverStatsConfiguration.builder()
.setProjectId("YOUR_PROJECT_ID")
.build()
);
BigtableDataSettings.enableOpenCensusStats();google-cloud-bigtable depends on gRPC directly which may conflict with the versions brought in by other libraries, for example Apache Beam. This happens because internal dependencies between gRPC libraries are pinned to an exact version of grpc-core (see here). If both google-cloud-bigtable and the other library bring in two gRPC libraries that depend on the different versions of grpc-core, then dependency resolution will fail. The easiest way to fix this is to depend on the gRPC bom, which will force all the gRPC transitive libraries to use the same version.
Add the following to your project's pom.xml.
<dependencyManagement>
<dependencies>
<dependency>
<groupId>io.grpc</groupId>
<artifactId>grpc-bom</artifactId>
<version>1.28.0</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
While deploying this client in Google Kubernetes Engine(GKE) with CoS. Please make sure to provide CPU configuration in your deployment file. With default configuration JVM detects only 1 CPU, which affects the number of channels with the client, resulting in performance repercussion.
Also, The number of grpc-nio-worker-ELG-1-# thread is same as number of CPUs. These are managed by a single grpc-default-executor-# thread, which is shared among multiple client instances.
For example:
appVersion: v1
...
spec:
...
container:
resources:
requests:
cpu: "1" # Here 1 represents 100% of single node CPUs whereas other than 1 represents the number of CPU it would use from a node.see Assign CPU Resources to Containers for more information.
To get help, follow the instructions in the shared Troubleshooting document.
Bigtable uses gRPC for the transport layer.
Java 7 or above is required for using this client.
This library follows Semantic Versioning.
Contributions to this library are always welcome and highly encouraged.
See CONTRIBUTING for more information on how to get started and DEVELOPING for a layout of the codebase.
Apache 2.0 - See LICENSE for more information.
| Java Version | Status |
|---|---|
| Java 7 |  |
| Java 8 |  |
| Java 8 OSX |  |
| Java 8 Windows |  |
| Java 11 |  |