[ https://issues.apache.org/jira/browse/SPARK-11087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
patcharee updated SPARK-11087: ------------------------------ Comment: was deleted (was: Hi [~zzhan], the problem actually happens when I generates orc file by "saveAsTable()" method (because I need my orc file to be accessible through hive). See below>> hive> create external table peopletable(name string, address string, phone string) partitioned by(age int) stored as orc location '/user/patcharee/peopletable'; On spark shell local mode>> 2501 sql("set hive.exec.dynamic.partition.mode=nonstrict") 2502 sqlContext.setConf("spark.sql.orc.filterPushdown", "true") 2503 case class Person(name: String, age: Int, address: String, phone: String) 2504 val records = (1 to 100).map { i => Person(s"name_$i", i, s"address_$i", s"phone_$i" ) } 2505 sc.parallelize(records).toDF().write.format("orc").mode("Append").partitionBy("age").saveAsTable("peopletable") 2506 val people = sqlContext.read.format("orc").load("peopletable") 2507 people.registerTempTable("people") 2508 sqlContext.sql("SELECT * FROM people WHERE age = 20 and name = 'name_20'").count It is true that if the orc file is generated by "save()" method, the predicate will be generated. But it is not for the case "saveAsTable()" method. [~zzhan] can you please suggest how to fix this?) > spark.sql.orc.filterPushdown does not work, No ORC pushdown predicate > --------------------------------------------------------------------- > > Key: SPARK-11087 > URL: https://issues.apache.org/jira/browse/SPARK-11087 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.5.1 > Environment: orc file version 0.12 with HIVE_8732 > hive version 1.2.1.2.3.0.0-2557 > Reporter: patcharee > Priority: Minor > > I have an external hive table stored as partitioned orc file (see the table > schema below). I tried to query from the table with where clause> > hiveContext.setConf("spark.sql.orc.filterPushdown", "true") > hiveContext.sql("select u, v from 4D where zone = 2 and x = 320 and y = > 117")). > But from the log file with debug logging level on, the ORC pushdown predicate > was not generated. > Unfortunately my table was not sorted when I inserted the data, but I > expected the ORC pushdown predicate should be generated (because of the where > clause) though > Table schema > ================================ > hive> describe formatted 4D; > OK > # col_name data_type comment > > date int > hh int > x int > y int > height float > u float > v float > w float > ph float > phb float > t float > p float > pb float > qvapor float > qgraup float > qnice float > qnrain float > tke_pbl float > el_pbl float > qcloud float > > # Partition Information > # col_name data_type comment > > zone int > z int > year int > month int > > # Detailed Table Information > Database: default > Owner: patcharee > CreateTime: Thu Jul 09 16:46:54 CEST 2015 > LastAccessTime: UNKNOWN > Protect Mode: None > Retention: 0 > Location: hdfs://helmhdfs/apps/hive/warehouse/wrf_tables/4D > > Table Type: EXTERNAL_TABLE > Table Parameters: > EXTERNAL TRUE > comment this table is imported from rwf_data/*/wrf/* > last_modified_by patcharee > last_modified_time 1439806692 > orc.compress ZLIB > transient_lastDdlTime 1439806692 > > # Storage Information > SerDe Library: org.apache.hadoop.hive.ql.io.orc.OrcSerde > InputFormat: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat > OutputFormat: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat > > Compressed: No > Num Buckets: -1 > Bucket Columns: [] > Sort Columns: [] > Storage Desc Params: > serialization.format 1 > Time taken: 0.388 seconds, Fetched: 58 row(s) > ================================ > Data was inserted into this table by another spark job> > df.write.format("org.apache.spark.sql.hive.orc.DefaultSource").mode(org.apache.spark.sql.SaveMode.Append).partitionBy("zone","z","year","month").saveAsTable("4D") -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org