Github user l15k4 commented on the pull request:
https://github.com/apache/spark/pull/10498#issuecomment-220782023
Guys do you have a rough guess about when bucketing is to be implemented
for `org.apache.spark.sql.DataFrameWriter#save` ?
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--- Diff:
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---
@@ -125,7 +125,7 @@ private[sql] case class
Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
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I'm going to merge this. @cloud-fan can you create a follow-up pr to
address some of the comments above?
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--- Diff:
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---
@@ -34,13 +34,13 @@ import org.apache.spark.rdd.R
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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---
@@ -125,7 +125,7 @@ private[sql] case cl
Github user davies commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/WriterContainer.scala
---
@@ -335,6 +339,121 @@ private[sql] class DynamicPartit
Github user davies commented on a diff in the pull request:
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--- Diff:
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---
@@ -34,13 +34,13 @@ import org.apache.spark.rdd.RDD
Github user davies commented on the pull request:
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@cloud-fan Can we write bucketed table without partitions?
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--- Diff:
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@@ -342,22 +461,34 @@ private[sql] class DynamicPartit
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--- Diff:
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@@ -342,22 +461,34 @@ private[sql] class DynamicPartitio
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@@ -342,22 +461,34 @@ private[sql] class DynamicPartitio
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@@ -342,22 +461,34 @@ private[sql] class DynamicPart
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@@ -342,22 +461,34 @@ private[sql] class DynamicPartit
Github user nongli commented on the pull request:
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This looks good to me to merge.
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@@ -335,6 +339,121 @@ private[sql] class DynamicPartit
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--- Diff:
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@@ -161,6 +161,20 @@ trait HadoopFsRelationProvider {
dataSchema:
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Serializabl
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@@ -351,7 +365,18 @@ abstract class OutputWriterFactory extends
Serial
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/bucket.scala
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@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software
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@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Soft
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRelation.scala
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@@ -87,7 +91,8 @@ private[sql] class ParquetOu
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+/*
+ * Licensed to the Apache Softwar
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@@ -451,3 +457,147 @@ private[sql] class DynamicPartit
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DataFrame)
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@@ -189,13 +220,47 @@ final class DataFrameWriter private[sql](df:
DataFr
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--- Diff:
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@@ -240,6 +241,25 @@ private[hive] class HiveMetastoreCatalog(va
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@@ -240,6 +241,23 @@ private[hive] class HiveMetastoreCatalog(va
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@@ -189,13 +220,43 @@ final class DataFrameWriter private[sql](df:
DataFr
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--- Diff:
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@@ -240,6 +241,23 @@ private[hive] class HiveMetastoreCatalog(val cli
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@@ -240,6 +241,23 @@ private[hive] class HiveMetastoreCatalog(va
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@@ -189,13 +220,43 @@ final class DataFrameWriter private[sql](df:
DataFrame)
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DataFr
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@@ -189,13 +220,43 @@ final class DataFrameWriter private[sql](df:
DataFrame)
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@@ -189,13 +220,43 @@ final class DataFrameWriter private[sql](df:
DataFr
Github user rxin commented on the pull request:
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Would be great if @davies can take a look at this too.
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@@ -0,0 +1,89 @@
+/*
+ * Licensed to the Apache Software
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@@ -239,12 +240,21 @@ object ResolvedDataSource exten
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+/*
+ * Licensed to the Apache Software
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--- Diff:
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@@ -219,16 +231,22 @@ class CommitFailureTestRelation(
ove
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--- Diff:
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@@ -151,6 +151,7 @@ case class CreateMetastoreDataSource(
ta
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@@ -596,6 +614,7 @@ private[hive] class HiveMetastoreCatalog(val clie
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@@ -240,6 +241,23 @@ private[hive] class HiveMetastoreCatalog(val cli
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -33,7 +33,7 @@ import
org.apache.spark.sql.catalyst.{CatalystTypeConvert
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---
@@ -192,7 +192,14 @@ private[sql] case class PreWriteCheck(catalog
Github user rxin commented on the pull request:
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If I'm looking at it correctly, writeRows function is almost 500 loc line.
Can we break it into different logical parts and create functions for each of
them?
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{
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Github user liancheng commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/misc.scala
---
@@ -177,3 +179,36 @@ case class Crc32(child: Expression) ex
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The failed test cases can be passed locally, seems it's because
`TestHiveContext.warehousePath` has some problem at jenkins machines. cc
@JoshRosen @yhuai
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If y
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