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https://issues.apache.org/jira/browse/SPARK-11087?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14959599#comment-14959599
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Zhan Zhang commented on SPARK-11087:
------------------------------------
[~patcharee] I try to duplicate your table as much as possible, but still
didn't hit the problem. Please refer to the below for the details.
case class record(date: Int, hh: Int, x: Int, y: Int, height: Float, u: Float,
w: Float, ph: Float, phb: Float, t: Float, p: Float, pb: Float, tke_pbl: Float,
el_pbl: Float, qcloud: Float, zone: Int, z: Int, year: Int, month: Int)
val records = (1 to 100).map { i =>
record(i.toInt, i.toInt, i.toInt, i.toInt, i.toFloat, i.toFloat, i.toFloat,
i.toFloat, i.toFloat, i.toFloat, i.toFloat, i.toFloat, i.toFloat, i.toFloat,
i.toFloat, i.toInt, i.toInt, i.toInt, i.toInt)
}
sc.parallelize(records).toDF().write.format("org.apache.spark.sql.hive.orc.DefaultSource").mode(org.apache.spark.sql.SaveMode.Append).partitionBy("zone","z","year","month").saveAsTable("5D")
sc.parallelize(records).toDF().write.format("org.apache.spark.sql.hive.orc.DefaultSource").partitionBy("zone","z","year","month").save("4D")
val test = sqlContext.read.format("orc").load("4D")
2503 test.registerTempTable("4D")
2504 sqlContext.setConf("spark.sql.orc.filterPushdown", "true")
2505 sqlContext.sql("select date, month, year, hh, u*0.9122461, u*-0.40964267,
z from 4D where x = 320 and y = 117 and zone == 2 and year=2 and z >= 2 and z
<= 8").show
2015-10-15 13:37:45 OrcInputFormat [INFO] ORC pushdown predicate: leaf-0 =
(EQUALS x 320)
leaf-1 = (EQUALS y 117)
expr = (and leaf-0 leaf-1)
2507 sqlContext.sql("select date, month, year, hh, u*0.9122461,
u*-0.40964267, z from 5D where x = 321 and y = 118 and zone == 2 and year=2 and
z >= 2 and z <= 8").show
2015-10-15 13:40:06 OrcInputFormat [INFO] ORC pushdown predicate: leaf-0 =
(EQUALS x 321)
leaf-1 = (EQUALS y 118)
expr = (and leaf-0 leaf-1)
> 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")
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