Sqoop on Hadoop: NoSuchMethodError: com.google.common.base.Stopwatch.createStarted()
Sqoop on Hadoop: NoSuchMethodError: com.google.common.base.Stopwatch.createStarted()
我 运行 sqoop on hadoop on Google Cloud DataProc 通过云 SQL 代理访问 postgresql 但我收到 Java 依赖错误：
INFO: First Cloud SQL connection, generating RSA key pair.
Exception in thread "main" java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.google.cloud.hadoop.services.agent.job.shim.HadoopRunClassShim.main(HadoopRunClassShim.java:19)
Caused by: java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.createStarted()Lcom/google/common/base/Stopwatch;
at com.google.common.util.concurrent.RateLimiter$SleepingStopwatch.<init>(RateLimiter.java:414)
at com.google.common.util.concurrent.RateLimiter$SleepingStopwatch.createFromSystemTimer(RateLimiter.java:413)
at com.google.common.util.concurrent.RateLimiter.create(RateLimiter.java:127)
at com.google.cloud.sql.core.CloudSqlInstance.<init>(CloudSqlInstance.java:73)
at com.google.cloud.sql.core.CoreSocketFactory.lambda$createSslSocket[=10=](CoreSocketFactory.java:221)
at java.util.concurrent.ConcurrentHashMap.computeIfAbsent(ConcurrentHashMap.java:1660)
at com.google.cloud.sql.core.CoreSocketFactory.createSslSocket(CoreSocketFactory.java:220)
at com.google.cloud.sql.core.CoreSocketFactory.connect(CoreSocketFactory.java:185)
at com.google.cloud.sql.postgres.SocketFactory.createSocket(SocketFactory.java:71)
at org.postgresql.core.PGStream.<init>(PGStream.java:67)
at org.postgresql.core.v3.ConnectionFactoryImpl.tryConnect(ConnectionFactoryImpl.java:91)
at org.postgresql.core.v3.ConnectionFactoryImpl.openConnectionImpl(ConnectionFactoryImpl.java:192)
at org.postgresql.core.ConnectionFactory.openConnection(ConnectionFactory.java:49)
at org.postgresql.jdbc.PgConnection.<init>(PgConnection.java:211)
at org.postgresql.Driver.makeConnection(Driver.java:458)
at org.postgresql.Driver.connect(Driver.java:260)
at java.sql.DriverManager.getConnection(DriverManager.java:664)
at java.sql.DriverManager.getConnection(DriverManager.java:247)
at org.apache.sqoop.manager.SqlManager.makeConnection(SqlManager.java:904)
at org.apache.sqoop.manager.GenericJdbcManager.getConnection(GenericJdbcManager.java:59)
at org.apache.sqoop.manager.SqlManager.execute(SqlManager.java:763)
at org.apache.sqoop.manager.SqlManager.execute(SqlManager.java:786)
at org.apache.sqoop.manager.SqlManager.getColumnInfoForRawQuery(SqlManager.java:289)
at org.apache.sqoop.manager.SqlManager.getColumnTypesForRawQuery(SqlManager.java:260)
at org.apache.sqoop.manager.SqlManager.getColumnTypes(SqlManager.java:246)
at org.apache.sqoop.manager.ConnManager.getColumnTypes(ConnManager.java:327)
at org.apache.sqoop.orm.ClassWriter.getColumnTypes(ClassWriter.java:1872)
at org.apache.sqoop.orm.ClassWriter.generate(ClassWriter.java:1671)
at org.apache.sqoop.tool.CodeGenTool.generateORM(CodeGenTool.java:106)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:501)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:628)
at org.apache.sqoop.Sqoop.run(Sqoop.java:147)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243)
at org.apache.sqoop.Sqoop.main(Sqoop.java:252)
... 5 more
这将启动集群：
gcloud dataproc clusters create ${CLUSTER_NAME} \
--region=${CLUSTER_REGION} \
--scopes=default,sql-admin \
--initialization-actions=gs://dataproc-initialization-actions/cloud-sql-proxy/cloud-sql-proxy.sh \
--properties=hive:hive.metastore.warehouse.dir=gs://$GCS_BUCKET/export \
--metadata=enable-cloud-sql-hive-metastore=false \
--metadata=additional-cloud-sql-instances=${PSQL_INSTANCE}=tcp:${PSQL_PORT}
这会运行作业：
#!/usr/bin/env bash
export GCS_BUCKET="mybucket"
export CLUSTER_NAME="mycluster"
export CLUSTER_REGION="us-central1"
export SOURCE_DB_NAME="mydb"
export SOURCE_USER="myuser"
export SOURCE_PASSWORD="****"
export SOURCE_HOST="127.0.0.1"
export SOURCE_PORT="5432"
export SQOOP_JAR="gs://$GCS_BUCKET/sqoop-1.4.7.jar"
export AVRO_JAR="gs://$GCS_BUCKET/avro-tools-1.9.1.jar"
export GUAVA_JAR="gs://$GCS_BUCKET/guava-11.0.2.jar"
export PSQL_JAR="gs://$GCS_BUCKET/postgresql-42.2.9.jar"
export PSQL_FACTORY_JAR="gs://$GCS_BUCKET/postgres-socket-factory-1.0.15-jar-with-dependencies.jar"
export INSTANCE_CONNECTION_NAME="myinstance:connection:name"
export CONNECTION_STRING="jdbc:postgresql:///${SOURCE_DB_NAME}?cloudSqlInstance=${INSTANCE_CONNECTION_NAME}&socketFactory=com.google.cloud.sql.postgres.SocketFactory&user=${SOURCE_USER}&password=${SOURCE_PASSWORD}"
gcloud dataproc jobs submit hadoop \
--cluster=$CLUSTER_NAME \
--class=org.apache.sqoop.Sqoop \
--jars=$GUAVA_JAR,$SQOOP_JAR,$PSQL_FACTORY_JAR,$AVRO_JAR,$PSQL_JAR \
--region=$CLUSTER_REGION \
-- import -Dmapreduce.job.user.classpath.first=true \
--connect="${CONNECTION_STRING}" \
--username=${SOURCE_USER} \
--password="${SOURCE_PASSWORD}" \
--target-dir=gs://$GCS_BUCKET/export \
--table=insight_actions \
--as-avrodatafile
我尝试在路径中添加不同版本的 GUAVA_JAR，认为可能是这样，但无法摆脱错误：guava-11.0.2.jar、guava-16.0.jar、guava-18.0.jar, guava-23.0.jar, guava-28.2-jre.jar.
gcloud beta dataflow jobs describe ... 告诉我 dataroc 图像是 https://www.googleapis.com/compute/v1/projects/cloud-dataproc/global/images/dataproc-1-3-deb9-20191216-000000-rc01
经过进一步研究，我发现 Hadoop 2.x 覆盖了类路径，因此 the solution is to create an uberjar 并将其传递给 hadoop。
我也改为使用 hadoop260 的特定 sqoop jar。
因此，我创建了一个 pom.xml 文件，运行 maven package 在其上生成 uberjar：
<?xml version="1.0" encoding="UTF-8"?>
<!-- SEE: https://cloud.google.com/blog/products/data-analytics/managing-java-dependencies-apache-spark-applications-cloud-dataproc -->
<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>
<properties>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
</properties>
<groupId>org.example.exporter</groupId>
<artifactId>example-exporter-postgresql</artifactId>
<version>0.0.1</version>
<!-- YOUR_DEPENDENCIES -->
<dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.sqoop/sqoop -->
<dependency>
<groupId>org.apache.sqoop</groupId>
<artifactId>sqoop</artifactId>
<version>1.4.7</version>
<classifier>hadoop260</classifier>
</dependency>
<!-- https://mvnrepository.com/artifact/postgresql/postgresql -->
<dependency>
<groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId>
<version>42.2.9</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.google.cloud.sql/postgres-socket-factory -->
<dependency>
<groupId>com.google.cloud.sql</groupId>
<artifactId>postgres-socket-factory</artifactId>
<version>1.0.15</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.avro/avro-tools -->
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-tools</artifactId>
<version>1.9.1</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>org.apache.sqoop.Sqoop</mainClass>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/maven/**</exclude>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<relocations>
<relocation>
<pattern>com</pattern>
<shadedPattern>repackaged.com.google.common</shadedPattern>
<includes>
<include>com.google.common.**</include>
</includes>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
我 运行 sqoop on hadoop on Google Cloud DataProc 通过云 SQL 代理访问 postgresql 但我收到 Java 依赖错误：
INFO: First Cloud SQL connection, generating RSA key pair.
Exception in thread "main" java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.google.cloud.hadoop.services.agent.job.shim.HadoopRunClassShim.main(HadoopRunClassShim.java:19)
Caused by: java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.createStarted()Lcom/google/common/base/Stopwatch;
at com.google.common.util.concurrent.RateLimiter$SleepingStopwatch.<init>(RateLimiter.java:414)
at com.google.common.util.concurrent.RateLimiter$SleepingStopwatch.createFromSystemTimer(RateLimiter.java:413)
at com.google.common.util.concurrent.RateLimiter.create(RateLimiter.java:127)
at com.google.cloud.sql.core.CloudSqlInstance.<init>(CloudSqlInstance.java:73)
at com.google.cloud.sql.core.CoreSocketFactory.lambda$createSslSocket[=10=](CoreSocketFactory.java:221)
at java.util.concurrent.ConcurrentHashMap.computeIfAbsent(ConcurrentHashMap.java:1660)
at com.google.cloud.sql.core.CoreSocketFactory.createSslSocket(CoreSocketFactory.java:220)
at com.google.cloud.sql.core.CoreSocketFactory.connect(CoreSocketFactory.java:185)
at com.google.cloud.sql.postgres.SocketFactory.createSocket(SocketFactory.java:71)
at org.postgresql.core.PGStream.<init>(PGStream.java:67)
at org.postgresql.core.v3.ConnectionFactoryImpl.tryConnect(ConnectionFactoryImpl.java:91)
at org.postgresql.core.v3.ConnectionFactoryImpl.openConnectionImpl(ConnectionFactoryImpl.java:192)
at org.postgresql.core.ConnectionFactory.openConnection(ConnectionFactory.java:49)
at org.postgresql.jdbc.PgConnection.<init>(PgConnection.java:211)
at org.postgresql.Driver.makeConnection(Driver.java:458)
at org.postgresql.Driver.connect(Driver.java:260)
at java.sql.DriverManager.getConnection(DriverManager.java:664)
at java.sql.DriverManager.getConnection(DriverManager.java:247)
at org.apache.sqoop.manager.SqlManager.makeConnection(SqlManager.java:904)
at org.apache.sqoop.manager.GenericJdbcManager.getConnection(GenericJdbcManager.java:59)
at org.apache.sqoop.manager.SqlManager.execute(SqlManager.java:763)
at org.apache.sqoop.manager.SqlManager.execute(SqlManager.java:786)
at org.apache.sqoop.manager.SqlManager.getColumnInfoForRawQuery(SqlManager.java:289)
at org.apache.sqoop.manager.SqlManager.getColumnTypesForRawQuery(SqlManager.java:260)
at org.apache.sqoop.manager.SqlManager.getColumnTypes(SqlManager.java:246)
at org.apache.sqoop.manager.ConnManager.getColumnTypes(ConnManager.java:327)
at org.apache.sqoop.orm.ClassWriter.getColumnTypes(ClassWriter.java:1872)
at org.apache.sqoop.orm.ClassWriter.generate(ClassWriter.java:1671)
at org.apache.sqoop.tool.CodeGenTool.generateORM(CodeGenTool.java:106)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:501)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:628)
at org.apache.sqoop.Sqoop.run(Sqoop.java:147)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243)
at org.apache.sqoop.Sqoop.main(Sqoop.java:252)
... 5 more
这将启动集群：
gcloud dataproc clusters create ${CLUSTER_NAME} \
--region=${CLUSTER_REGION} \
--scopes=default,sql-admin \
--initialization-actions=gs://dataproc-initialization-actions/cloud-sql-proxy/cloud-sql-proxy.sh \
--properties=hive:hive.metastore.warehouse.dir=gs://$GCS_BUCKET/export \
--metadata=enable-cloud-sql-hive-metastore=false \
--metadata=additional-cloud-sql-instances=${PSQL_INSTANCE}=tcp:${PSQL_PORT}
这会运行作业：
#!/usr/bin/env bash
export GCS_BUCKET="mybucket"
export CLUSTER_NAME="mycluster"
export CLUSTER_REGION="us-central1"
export SOURCE_DB_NAME="mydb"
export SOURCE_USER="myuser"
export SOURCE_PASSWORD="****"
export SOURCE_HOST="127.0.0.1"
export SOURCE_PORT="5432"
export SQOOP_JAR="gs://$GCS_BUCKET/sqoop-1.4.7.jar"
export AVRO_JAR="gs://$GCS_BUCKET/avro-tools-1.9.1.jar"
export GUAVA_JAR="gs://$GCS_BUCKET/guava-11.0.2.jar"
export PSQL_JAR="gs://$GCS_BUCKET/postgresql-42.2.9.jar"
export PSQL_FACTORY_JAR="gs://$GCS_BUCKET/postgres-socket-factory-1.0.15-jar-with-dependencies.jar"
export INSTANCE_CONNECTION_NAME="myinstance:connection:name"
export CONNECTION_STRING="jdbc:postgresql:///${SOURCE_DB_NAME}?cloudSqlInstance=${INSTANCE_CONNECTION_NAME}&socketFactory=com.google.cloud.sql.postgres.SocketFactory&user=${SOURCE_USER}&password=${SOURCE_PASSWORD}"
gcloud dataproc jobs submit hadoop \
--cluster=$CLUSTER_NAME \
--class=org.apache.sqoop.Sqoop \
--jars=$GUAVA_JAR,$SQOOP_JAR,$PSQL_FACTORY_JAR,$AVRO_JAR,$PSQL_JAR \
--region=$CLUSTER_REGION \
-- import -Dmapreduce.job.user.classpath.first=true \
--connect="${CONNECTION_STRING}" \
--username=${SOURCE_USER} \
--password="${SOURCE_PASSWORD}" \
--target-dir=gs://$GCS_BUCKET/export \
--table=insight_actions \
--as-avrodatafile
我尝试在路径中添加不同版本的 GUAVA_JAR，认为可能是这样，但无法摆脱错误：guava-11.0.2.jar、guava-16.0.jar、guava-18.0.jar, guava-23.0.jar, guava-28.2-jre.jar.
gcloud beta dataflow jobs describe ... 告诉我 dataroc 图像是 https://www.googleapis.com/compute/v1/projects/cloud-dataproc/global/images/dataproc-1-3-deb9-20191216-000000-rc01
经过进一步研究，我发现 Hadoop 2.x 覆盖了类路径，因此 the solution is to create an uberjar 并将其传递给 hadoop。
我也改为使用 hadoop260 的特定 sqoop jar。
因此，我创建了一个 pom.xml 文件，运行 maven package 在其上生成 uberjar：
<?xml version="1.0" encoding="UTF-8"?>
<!-- SEE: https://cloud.google.com/blog/products/data-analytics/managing-java-dependencies-apache-spark-applications-cloud-dataproc -->
<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>
<properties>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
</properties>
<groupId>org.example.exporter</groupId>
<artifactId>example-exporter-postgresql</artifactId>
<version>0.0.1</version>
<!-- YOUR_DEPENDENCIES -->
<dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.sqoop/sqoop -->
<dependency>
<groupId>org.apache.sqoop</groupId>
<artifactId>sqoop</artifactId>
<version>1.4.7</version>
<classifier>hadoop260</classifier>
</dependency>
<!-- https://mvnrepository.com/artifact/postgresql/postgresql -->
<dependency>
<groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId>
<version>42.2.9</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.google.cloud.sql/postgres-socket-factory -->
<dependency>
<groupId>com.google.cloud.sql</groupId>
<artifactId>postgres-socket-factory</artifactId>
<version>1.0.15</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.avro/avro-tools -->
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro-tools</artifactId>
<version>1.9.1</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>org.apache.sqoop.Sqoop</mainClass>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/maven/**</exclude>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<relocations>
<relocation>
<pattern>com</pattern>
<shadedPattern>repackaged.com.google.common</shadedPattern>
<includes>
<include>com.google.common.**</include>
</includes>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>