[GitHub] spark pull request: [SPARK-3911] [SQL] HiveSimpleUdf can not be op...
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[GitHub] spark pull request: [SPARK-3911] [SQL] HiveSimpleUdf can not be op...
Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/2771#discussion_r19289432
--- Diff: sql/hive/src/test/scala/org/apache/spark/sql/QueryTest.scala ---
@@ -74,4 +76,30 @@ class QueryTest extends FunSuite {
.stripMargin)
}
}
+
+ // The following copy is copied from
org.apache.spark.sql.catalyst.plans.PlanTest
--- End diff --
How about making `QueryTest` inherit from `PlanTest` instead? Just like
what we did in another `PlanTest` in `sql/core`.
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[GitHub] spark pull request: [SPARK-3911] [SQL] HiveSimpleUdf can not be op...
Github user liancheng commented on the pull request: https://github.com/apache/spark/pull/2771#issuecomment-60062451 retest this please --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user chenghao-intel commented on the pull request: https://github.com/apache/spark/pull/2771#issuecomment-60177854 @marmbrus @liancheng any more comments on this? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user marmbrus commented on the pull request: https://github.com/apache/spark/pull/2771#issuecomment-59859939 ok to test --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user chenghao-intel commented on the pull request: https://github.com/apache/spark/pull/2771#issuecomment-59474335 test this please. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user chenghao-intel commented on the pull request: https://github.com/apache/spark/pull/2771#issuecomment-59461071 Thank you @liancheng , I've updated the code. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/2771#discussion_r18764783
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala
---
@@ -99,6 +99,16 @@ private[hive] case class
HiveSimpleUdf(functionClassName: String, children: Seq[
@transient
protected lazy val arguments = children.map(c =
toInspector(c.dataType)).toArray
+ @transient
+ protected lazy val isUDFDeterministic = {
+val udfType = function.getClass().getAnnotation(classOf[HiveUDFType])
+(udfType != null udfType.deterministic())
--- End diff --
Nit: redundant parenthesis.
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[GitHub] spark pull request: [SPARK-3911] [SQL] HiveSimpleUdf can not be op...
Github user liancheng commented on the pull request: https://github.com/apache/spark/pull/2771#issuecomment-58881732 This LGTM. Would you mind to add some tests? Probably in `ExpressionOptimizationSuite`. Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark pull request: [SPARK-3911] [SQL] HiveSimpleUdf can not be op...
GitHub user chenghao-intel opened a pull request: https://github.com/apache/spark/pull/2771 [SPARK-3911] [SQL] HiveSimpleUdf can not be optimized in constant folding ``` explain extended select cos(null) from src limit 1; ``` outputs: ``` Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#5] MetastoreRelation default, src, None == Optimized Logical Plan == Limit 1 Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#5] MetastoreRelation default, src, None == Physical Plan == Limit 1 Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#5] HiveTableScan [], (MetastoreRelation default, src, None), None ``` After patching this PR it outputs ``` == Parsed Logical Plan == Limit 1 Project ['cos(null) AS c_0#0] UnresolvedRelation None, src, None == Analyzed Logical Plan == Limit 1 Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#0] MetastoreRelation default, src, None == Optimized Logical Plan == Limit 1 Project [null AS c_0#0] MetastoreRelation default, src, None == Physical Plan == Limit 1 Project [null AS c_0#0] HiveTableScan [], (MetastoreRelation default, src, None), None ``` You can merge this pull request into a Git repository by running: $ git pull https://github.com/chenghao-intel/spark hive_udf_constant_folding Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/2771.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #2771 commit cc3091e073781035680cb96923361a685fedeba7 Author: Cheng Hao hao.ch...@intel.com Date: 2014-10-11T16:09:32Z support constant folding for HiveSimpleUdf --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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