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