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From "Dongjoon Hyun (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-25579) Use quoted attribute names if needed in pushed ORC predicates
Date Mon, 01 Oct 2018 04:42:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-25579?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dongjoon Hyun updated SPARK-25579:
----------------------------------
    Description: 
This issue aims to fix an ORC performance regression at Spark 2.4.0 RCs from Spark 2.3.2.
For column names with `.`, the pushed predicates are ignored.

*Spark 2.3.2*
{code:java}
scala> val df = spark.range(Int.MaxValue).sample(0.2).toDF("col.with.dot")
scala> df.write.mode("overwrite").orc("/tmp/orc")
scala> spark.sql("set spark.sql.orc.impl=native")
scala> spark.sql("set spark.sql.orc.filterPushdown=true")
scala> spark.time(spark.read.orc("/tmp/orc").where("`col.with.dot` = 50000").count)
Time taken: 803 ms
{code}
*Spark 2.4.0 RC2*
{code:java}
scala> spark.time(spark.read.orc("/tmp/orc").where("`col.with.dot` = 50000").count)
Time taken: 2405 ms{code}

  was:
This issue aims to fix an ORC performance regression at Spark 2.4.0 RCs from Spark 2.3.2.
For column names with `.`, the pushed predicates are ignored.

*Spark 2.3.2*
{code:java}
scala> val df = spark.range(Int.MaxValue).sample(0.2).toDF("col.with.dot")
scala> df.write.mode("overwrite").orc("/tmp/orc")
scala> df.write.mode("overwrite").parquet("/tmp/parquet")
scala> spark.sql("set spark.sql.orc.impl=native")
scala> spark.sql("set spark.sql.orc.filterPushdown=true")
scala> spark.time(spark.read.orc("/tmp/orc").where("`col.with.dot` = 50000").count)
Time taken: 803 ms

scala> spark.time(spark.read.parquet("/tmp/parquet").where("`col.with.dot` = 50000").count)
Time taken: 5573 ms
{code}
*Spark 2.4.0 RC2*
{code:java}
scala> spark.time(spark.read.orc("/tmp/orc").where("`col.with.dot` = 50000").count)
Time taken: 2405 ms{code}


> Use quoted attribute names if needed in pushed ORC predicates
> -------------------------------------------------------------
>
>                 Key: SPARK-25579
>                 URL: https://issues.apache.org/jira/browse/SPARK-25579
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Dongjoon Hyun
>            Assignee: Dongjoon Hyun
>            Priority: Critical
>
> This issue aims to fix an ORC performance regression at Spark 2.4.0 RCs from Spark 2.3.2.
For column names with `.`, the pushed predicates are ignored.
> *Spark 2.3.2*
> {code:java}
> scala> val df = spark.range(Int.MaxValue).sample(0.2).toDF("col.with.dot")
> scala> df.write.mode("overwrite").orc("/tmp/orc")
> scala> spark.sql("set spark.sql.orc.impl=native")
> scala> spark.sql("set spark.sql.orc.filterPushdown=true")
> scala> spark.time(spark.read.orc("/tmp/orc").where("`col.with.dot` = 50000").count)
> Time taken: 803 ms
> {code}
> *Spark 2.4.0 RC2*
> {code:java}
> scala> spark.time(spark.read.orc("/tmp/orc").where("`col.with.dot` = 50000").count)
> Time taken: 2405 ms{code}



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