[
https://issues.apache.org/jira/browse/SPARK-11087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-11087.
----------------------------------
Resolution: Cannot Reproduce
{code}
hive> create table people(name string, address string, phone string)
partitioned by(age int) stored as orc;
OK
Time taken: 4.609 seconds
{code}
{code}
import org.apache.spark.sql.Row
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.types._
import
org.apache.spark.sql.types.{StructType,StructField,StringType,IntegerType,FloatType}
val sqlContext = spark.sqlContext
sqlContext.setConf("hive.exec.dynamic.partition.mode","nonstrict")
val records = (1 to 10).map( i => Row(s"name_$i", s"address_$i", s"phone_$i", i
))
val schemaString = "name address phone age"
val schema = StructType(schemaString.split(" ").map(fieldName => if
(fieldName.equals("age")) StructField(fieldName, IntegerType, true) else
StructField(fieldName, StringType, true)))
val x = sc.parallelize(records)
val rDF = sqlContext.createDataFrame(x, schema)
rDF.write.format("org.apache.spark.sql.hive.orc.DefaultSource").mode(org.apache.spark.sql.SaveMode.Append).partitionBy("age").saveAsTable("people")
sqlContext.setConf("spark.sql.orc.filterPushdown", "true")
val people = sqlContext.read.format("orc").load("spark-warehouse/people")
people.registerTempTable("people")
sqlContext.sql("SELECT * FROM people WHERE age = 3 and name =
'name_3'").explain(true)
{code}
{code}
== Parsed Logical Plan ==
'Project [*]
+- 'Filter (('age = 3) && ('name = name_3))
+- 'UnresolvedRelation `people`
== Analyzed Logical Plan ==
name: string, address: string, phone: string, age: int
Project [name#68, address#69, phone#70, age#71]
+- Filter ((age#71 = 3) && (name#68 = name_3))
+- SubqueryAlias people
+- Relation[name#68,address#69,phone#70,age#71] orc
== Optimized Logical Plan ==
Filter (((isnotnull(age#71) && isnotnull(name#68)) && (age#71 = 3)) && (name#68
= name_3))
+- Relation[name#68,address#69,phone#70,age#71] orc
== Physical Plan ==
*Project [name#68, address#69, phone#70, age#71]
+- *Filter (isnotnull(name#68) && (name#68 = name_3))
+- *FileScan orc [name#68,address#69,phone#70,age#71] Batched: false,
Format: ORC, Location: InMemoryFileIndex[..., PartitionCount: 1,
PartitionFilters: [isnotnull(age#71), (age#71 = 3)], PushedFilters:
[IsNotNull(name), EqualTo(name,name_3)], ReadSchema:
struct<name:string,address:string,phone:string>
{code}
I see it is pushed down in `PushedFilters`. I am resolving 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")
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