Knut Olav Loite created BEAM-9304:
-------------------------------------
Summary: beam-sdks-java-io-google-cloud-platform imports
conflicting versions for BigTable and Spanner
Key: BEAM-9304
URL: https://issues.apache.org/jira/browse/BEAM-9304
Project: Beam
Issue Type: Bug
Components: io-java-gcp
Affects Versions: 2.18.0
Reporter: Knut Olav Loite
Attachments: SpannerRead.java, pom.xml
If I include `beam-sdks-java-io-google-cloud-platform` version 2.18.0 in a
project and try to use `SpannerIO`, the exception
`java.lang.NoClassDefFoundError: io/opencensus/trace/Tracestate`. This seems to
be caused by conflicting versions of `io.opencensus:opencensus-api` being
included by the BigTable client and the Spanner client. BigTable imports
version 0.15.0. Spanner depends on 0.18.0, but as they are at the same level in
the dependency tree and BigTable is defined first, version 0.15.0 is used.
The workaround for this issue is to exclude the BigTable client in the project
pom in order to be able to use SpannerIO.
An example pom and simple Java class are listed below. If the commented
exclusion of the BigTable client is removed, the example will run without
problems. The example will also run without problems on Beam version 2.17
without the exclusion.
--- POM File ---
<project xmlns="http://maven.apache.org/POM/4.0.0";
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
http://maven.apache.org/xsd/maven-4.0.0.xsd";>
<modelVersion>4.0.0</modelVersion>
<groupId>com.google.cloud</groupId>
<artifactId>beam-sdk-test</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>Beam SDK Test</name>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<java.version>1.8</java.version>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<apache_beam.version>2.18.0</apache_beam.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.beam</groupId>
<artifactId>beam-sdks-java-io-google-cloud-platform</artifactId>
<version>${apache_beam.version}</version>
<!--
<exclusions>
<exclusion>
<groupId>com.google.cloud.bigtable</groupId>
<artifactId>bigtable-client-core</artifactId>
</exclusion>
</exclusions>
-->
</dependency>
<dependency>
<groupId>org.apache.beam</groupId>
<artifactId>beam-runners-direct-java</artifactId>
<version>${apache_beam.version}</version>
</dependency>
</dependencies>
</project>
--- JAVA FILE ---
/*
* Copyright 2017 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.
*/
package com.google.cloud.beamsdk.test;
import com.google.cloud.spanner.Struct;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.io.TextIO;
import org.apache.beam.sdk.io.gcp.spanner.SpannerIO;
import org.apache.beam.sdk.options.Description;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.options.Validation;
import org.apache.beam.sdk.transforms.Count;
import org.apache.beam.sdk.transforms.Sum;
import org.apache.beam.sdk.transforms.ToString;
import org.apache.beam.sdk.values.PCollection;
/*
This sample demonstrates how to read from a Spanner table.
## Prerequisites
* Maven installed
* Set up GCP default credentials, one of the following:
- export GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json
- gcloud auth application-default login
[https://developers.google.com/identity/protocols/application-default-credentials]
* Create the Spanner table to read from, you'll need:
- Instance ID
- Database ID
- Any table, preferably populated
[https://cloud.google.com/spanner/docs/quickstart-console]
## How to run
mvn clean
mvn compile
mvn exec:java \
-Dexec.mainClass=com.example.dataflow.SpannerRead \
-Dexec.args="--instanceId=my-instance-id \
--databaseId=my-database-id \
--table=my_table \
--output=path/to/output_file"
*/
public class SpannerRead {
public interface Options extends PipelineOptions {
@Description("Spanner instance ID to query from")
@Validation.Required
String getInstanceId();
void setInstanceId(String value);
@Description("Spanner database name to query from")
@Validation.Required
String getDatabaseId();
void setDatabaseId(String value);
@Description("Spanner table name to query from")
@Validation.Required
String getTable();
void setTable(String value);
@Description("Output filename for row count")
@Validation.Required
String getOutput();
void setOutput(String value);
}
public static void main(String[] args) {
Options options =
PipelineOptionsFactory.fromArgs(args).withValidation().as(Options.class);
Pipeline p = Pipeline.create(options);
String instanceId = options.getInstanceId();
String databaseId = options.getDatabaseId();
PCollection<Struct> records = p.apply(
SpannerIO.read()
.withInstanceId(instanceId)
.withDatabaseId(databaseId)
.withQuery("SELECT * FROM " + options.getTable()));
PCollection<Long> rowCount = records
.apply(Count.globally())
.apply(Sum.longsGlobally());
// Write the row count to a file
rowCount
.apply(ToString.elements())
.apply(TextIO.write().to(options.getOutput()).withoutSharding());
p.run().waitUntilFinish();
}
}
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