配置单元查询性能不好

我正在加入3个HIVE大表(十亿行表).收集了所有统计数据,但性能仍然很差(查询时间为40分钟).

我可以在HIVE提示中设置任何参数以获得更好的性能吗？

当我尝试执行时,我看到的信息就像

Sep 4, 2015 7:40:23 AM INFO: parquet.hadoop.ParquetInputFormat: Total input paths to process : 1
Sep 4, 2015 7:40:23 AM INFO: parquet.hadoop.ParquetFileReader: reading another 1 footers

所有表都在BigSql中创建,存储参数为“STORED AS PARQUETFILE”

如何在运行HIVE查询时抑制作业进度详细信息？

关于HIVE版本

hive> set system:sun.java.command;
system:sun.java.command=org.apache.hadoop.util.RunJar /opt/ibm/biginsights/hive/lib/hive-cli-0.12.0.jar org.apache.hadoop.hive.cli.CliDriver -hiveconf hive.aux.jars.path=file:///opt/ibm/biginsights/hive/lib/hive-hbase-handler-0.12.0.jar,file:///opt/ibm/biginsights/hive/lib/hive-contrib-0.12.0.jar,file:///opt/ibm/biginsights/hive/lib/hbase-client-0.96.0.jar,file:///opt/ibm/biginsights/hive/lib/hbase-common-0.96.0.jar,file:///opt/ibm/biginsights/hive/lib/hbase-hadoop2-compat-0.96.0.jar,file:///opt/ibm/biginsights/hive/lib/hbase-prefix-tree-0.96.0.jar,file:///opt/ibm/biginsights/hive/lib/hbase-protocol-0.96.0.jar,file:///opt/ibm/biginsights/hive/lib/hbase-server-0.96.0.jar,file:///opt/ibm/biginsights/hive/lib/htrace-core-2.01.jar,file:///opt/ibm/biginsights/hive/lib/zookeeper-3.4.5.jar,file:///opt/ibm/biginsights/sheets/libext/piggybank.jar,file:///opt/ibm/biginsights/sheets/libext/pig-0.11.1.jar,file:///opt/ibm/biginsights/sheets/libext/avro-1.7.4.jar,file:///opt/ibm/biginsights/sheets/libext/opencsv-1.8.jar,file:///opt/ibm/biginsights/sheets/libext/json-simple-1.1.jar,file:///opt/ibm/biginsights/sheets/libext/joda-time-1.6.jar,file:///opt/ibm/biginsights/sheets/libext/bigsheets.jar,file:///opt/ibm/biginsights/sheets/libext/bigsheets-serdes-1.0.0.jar,file:///opt/ibm/biginsights/lib/parquet/parquet-mr/parquet-column-1.3.2.jar,file:///opt/ibm/biginsights/lib/parquet/parquet-mr/parquet-common-1.3.2.jar,file:///opt/ibm/biginsights/lib/parquet/parquet-mr/parquet-encoding-1.3.2.jar,file:///opt/ibm/biginsights/lib/parquet/parquet-mr/parquet-generator-1.3.2.jar,file:///opt/ibm/biginsights/lib/parquet/parquet-mr/parquet-hadoop-bundle-1.3.2.jar,file:///opt/ibm/biginsights/lib/parquet/parquet-mr/parquet-hive-bundle-1.3.2.jar,file:///opt/ibm/biginsights/lib/parquet/parquet-mr/parquet-thrift-1.3.2.jar,file:///opt/ibm/biginsights/hive/lib/guava-11.0.2.jar

Koushik – This问题我问了一个月后会给你一个很好的洞察ORC vs Parquet的表现.

让我问这个问题！您的数据结构是什么？这是嵌套还是奉承？如果这是一个更平坦的数据,例如可以是从RDBMS摄取的数据,ORC更好,因为它与数据一起存储了光索引,并使数据检索更快.

希望这可以帮助