[ https://issues.apache.org/jira/browse/SPARK-24339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-24339: --------------------------------- Fix Version/s: (was: 2.2.1) (was: 2.1.2) (was: 2.1.1) (was: 2.2.0) > spark sql can not prune column in transform/map/reduce query > ------------------------------------------------------------ > > Key: SPARK-24339 > URL: https://issues.apache.org/jira/browse/SPARK-24339 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 2.1.1, 2.1.2, 2.2.0, 2.2.1 > Reporter: xdcjie > Priority: Minor > Labels: map, reduce, sql, transform > > I was using {{TRANSFORM USING}} with branch-2.1/2.2, and noticed that it will > scan all column of data, query like: > {code:java} > SELECT TRANSFORM(usid, cch) USING 'python test.py' AS (u1, c1, u2, c2) FROM > test_table;{code} > it's physical plan like: > {code:java} > == Physical Plan == > ScriptTransformation [usid#17, cch#9], python test.py, [u1#784, c1#785, > u2#786, c2#787], > HiveScriptIOSchema(List(),List(),Some(org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe),Some(org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe),List((field.delim, > )),List((field.delim, > )),Some(org.apache.hadoop.hive.ql.exec.TextRecordReader),Some(org.apache.hadoop.hive.ql.exec.TextRecordWriter),false) > +- FileScan parquet > [sh#0L,clk#1L,chg#2L,qey#3,ship#4,chgname#5,sid#6,bid#7,dis#8L,cch#9,wch#10,wid#11L,arank#12L,rtag#13,iid#14,uid#15,pid#16,usid#17,wdid#18,bid#19,oqleft#20,oqright#21,poqvalue#22,tm#23,... > 367 more fields] Batched: false, Format: Parquet, Location: > InMemoryFileIndex[file:/Users/Downloads/part-r-00093-0ef5d59f-2e08-4085-9b46-458a1652932a.g..., > PartitionFilters: [], PushedFilters: [], ReadSchema: > struct<sh:bigint,clk:bigint,chg:bigint,qey:string,ship:string,chgname:string,s... > {code} > In our scenario, parquet has 400 column, this query will take more time. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org