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sparksql与hive如何整合

发表于：2025-12-02 作者：千家信息网编辑

千家信息网最后更新 2025年12月02日，这篇文章主要介绍sparksql与hive如何整合，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！hive配置编辑 $HIVE_HOME/conf/hive-site.xml,增

千家信息网最后更新 2025年12月02日sparksql与hive如何整合

这篇文章主要介绍sparksql与hive如何整合，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！

hive配置

编辑 $HIVE_HOME/conf/hive-site.xml,增加如下内容:

  hive.metastore.uris  thrift://master:9083  Thrift uri for the remote metastore. Used by metastore client to connect to remote metastore.12345

启动hive metastore

 启动 metastore: $hive --service metastore & 查看 metastore: $jobs[1]+  Running                 hive --service metastore &关闭 metastore:$kill %1kill %jobid,1代表job id1234567891011

spark配置

将 $HIVE_HOME/conf/hive-site.xml copy或者软链 到 $SPARK_HOME/conf/将 $HIVE_HOME/lib/mysql-connector-java-5.1.12.jar copy或者软链到$SPARK_HOME/lib/copy或者软链$SPARK_HOME/lib/ 是方便spark standalone模式使用123

启动spark-sql

standalone模式

./bin/spark-sql --master spark:master:7077 --jars /home/stark_summer/spark/spark-1.4/spark-1.4.1/lib/mysql-connector-java-5.1.12.jar

yarn-client模式

$./bin/spark-sql --master yarn-client --jars /home/stark_summer/spark/spark-1.4/spark-1.4.1/lib/mysql-connector-java-5.1.12.jar执行 sql:select count(*) from o2o_app;结果:302Time taken: 0.828 seconds, Fetched 1 row(s)2015-09-14 18:27:43,158 INFO  [main] CliDriver (SessionState.java:printInfo(536)) - Time taken: 0.828 seconds, Fetched 1 row(s)spark-sql> 2015-09-14 18:27:43,160 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - Finished stage: org.apache.spark.scheduler.StageInfo@5939ed302015-09-14 18:27:43,161 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - task runtime:(count: 1, mean: 242.000000, stdev: 0.000000, max: 242.000000, min: 242.000000)2015-09-14 18:27:43,161 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0%      5%      10%     25%     50%     75%     90%     95%     100%2015-09-14 18:27:43,161 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    242.0 ms        242.0 ms        242.0 ms        242.0 ms        242.0 ms        242.0 ms    242.0 ms 242.0 ms        242.0 ms2015-09-14 18:27:43,162 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - fetch wait time:(count: 1, mean: 0.000000, stdev: 0.000000, max: 0.000000, min: 0.000000)2015-09-14 18:27:43,162 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0%      5%      10%     25%     50%     75%     90%     95%     100%2015-09-14 18:27:43,162 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0.0 ms  0.0 ms  0.0 ms  0.0 ms  0.0 ms  0.0 ms  0.0 ms  0.0 ms  0.0 ms2015-09-14 18:27:43,163 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - remote bytes read:(count: 1, mean: 31.000000, stdev: 0.000000, max: 31.000000, min: 31.000000)2015-09-14 18:27:43,163 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0%      5%      10%     25%     50%     75%     90%     95%     100%2015-09-14 18:27:43,163 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    31.0 B  31.0 B  31.0 B  31.0 B  31.0 B  31.0 B  31.0 B  31.0 B  31.0 B2015-09-14 18:27:43,163 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - task result size:(count: 1, mean: 1228.000000, stdev: 0.000000, max: 1228.000000, min: 1228.000000)2015-09-14 18:27:43,163 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0%      5%      10%     25%     50%     75%     90%     95%     100%2015-09-14 18:27:43,163 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    1228.0 B        1228.0 B        1228.0 B        1228.0 B        1228.0 B        1228.0 B    1228.0 B 1228.0 B        1228.0 B2015-09-14 18:27:43,164 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - executor (non-fetch) time pct: (count: 1, mean: 69.834711, stdev: 0.000000, max: 69.834711, min: 69.834711)2015-09-14 18:27:43,164 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0%      5%      10%     25%     50%     75%     90%     95%     100%2015-09-14 18:27:43,164 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    70 %    70 %    70 %    70 %    70 %    70 %    70 %    70 %    70 %2015-09-14 18:27:43,165 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - fetch wait time pct: (count: 1, mean: 0.000000, stdev: 0.000000, max: 0.000000, min: 0.000000)2015-09-14 18:27:43,165 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0%      5%      10%     25%     50%     75%     90%     95%     100%2015-09-14 18:27:43,165 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -     0 %     0 %     0 %     0 %     0 %     0 %     0 %     0 %     0 %2015-09-14 18:27:43,166 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) - other time pct: (count: 1, mean: 30.165289, stdev: 0.000000, max: 30.165289, min: 30.165289)2015-09-14 18:27:43,166 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    0%      5%      10%     25%     50%     75%     90%     95%     100%2015-09-14 18:27:43,166 INFO  [SparkListenerBus] scheduler.StatsReportListener (Logging.scala:logInfo(59)) -    30 %    30 %    30 %    30 %    30 %    30 %    30 %    30 %    30 345678910111213141516171819202122232425262728293031

yarn-cluster模式

./bin/spark-sql --master yarn-cluster  --jars /home/dp/spark/spark-1.4/spark-1.4.1/lib/mysql-connector-java-5.1.12.jarError: Cluster deploy mode is not applicable to Spark SQL shell.Run with --help for usage help or --verbose for debug output2015-09-14 18:28:28,291 INFO  [Thread-0] util.Utils (Logging.scala:logInfo(59)) - Shutdown hook calledCluster deploy mode 不支持的123456

启动 spark-shell

standalone模式

./bin/spark-shell --master spark:master:7077 --jars /home/stark_summer/spark/spark-1.4/spark-1.4.1/lib/mysql-connector-java-5.1.12.jar1

yarn-client模式

./bin/spark-shell --master yarn-client   --jars /home/dp/spark/spark-1.4/spark-1.4.1/lib/mysql-connector-java-5.1.12.jarsqlContext.sql("from o2o_app SELECT count(appkey,name1,name2)").collect().foreach(println)1234

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