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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/27 06:41:02 UTC
[jira] [Assigned] (SPARK-23247) combines Unsafe operations and
statistics operations in Scan Data Source
[ https://issues.apache.org/jira/browse/SPARK-23247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-23247:
------------------------------------
Assignee: (was: Apache Spark)
> combines Unsafe operations and statistics operations in Scan Data Source
> ------------------------------------------------------------------------
>
> Key: SPARK-23247
> URL: https://issues.apache.org/jira/browse/SPARK-23247
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: caoxuewen
> Priority: Major
>
> Currently, we scan the execution plan of the data source, first the unsafe operation of each row of data, and then re traverse the data for the count of rows. In terms of performance, this is not necessary. this PR combines the two operations and makes statistics on the number of rows while performing the unsafe operation.
> *Before modified,*
> {color:#cc7832}val {color}unsafeRow = rdd.mapPartitionsWithIndexInternal { (index{color:#cc7832}, {color}iter) =>
> {color:#cc7832}val {color}proj = UnsafeProjection.create({color:#9876aa}schema{color})
> proj.initialize(index)
> {color:#FF0000}iter.map(proj){color}
> }
> {color:#cc7832}val {color}numOutputRows = longMetric({color:#6a8759}"numOutputRows"{color})
> unsafeRow.map { r =>
> {color:#FF0000}numOutputRows += {color}{color:#6897bb}{color:#FF0000}1{color}
> {color} r
> }
> *After modified,*
> val numOutputRows = longMetric("numOutputRows")
> rdd.mapPartitionsWithIndexInternal { (index, iter) =>
> val proj = UnsafeProjection.create(schema)
> proj.initialize(index)
> iter.map( r => {
> {color:#FF0000} numOutputRows += 1{color}
> {color:#FF0000} proj(r){color}
> })
> }
>
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