[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4617#discussion_r24776541
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/sources/rules.scala
---
@@ -74,3 +74,68 @@ private[sql] object PreInsertCastAndRename extends
Rule[LogicalPlan] {
}
}
}
+
+/**
+ * A rule to do various checks before inserting into or writing to a data
source table.
+ */
+private[sql] case class PreWriteCheck(catalog: Catalog) extends
Rule[LogicalPlan] {
+ def failAnalysis(msg: String) = { throw new AnalysisException(msg) }
+
+ def apply(plan: LogicalPlan): LogicalPlan = {
+plan.foreach {
+ case i @ logical.InsertIntoTable(
+l @ LogicalRelation(t: InsertableRelation), partition, query,
overwrite) =
+// Right now, we do not support insert into a data source table
with partition specs.
+if (partition.nonEmpty) {
+ failAnalysis(sInsert into a partition is not allowed because $l
is not partitioned.)
+} else {
+ // Get all input data source relations of the query.
+ val srcRelations = query.collect {
+case LogicalRelation(src: BaseRelation) = src
+ }
+ if (srcRelations.exists(src = src == t)) {
+failAnalysis(
+ sIt is not allowed to insert overwrite the table because it
is used as +
+ san input table.)
+ } else {
+// OK
+ }
+}
+
+ case i @ logical.InsertIntoTable(l: LogicalRelation, partition,
query, overwrite) =
--- End diff --
Make the ! instanceOf here explicit.
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4617#discussion_r24776531
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/sources/rules.scala
---
@@ -74,3 +74,68 @@ private[sql] object PreInsertCastAndRename extends
Rule[LogicalPlan] {
}
}
}
+
+/**
+ * A rule to do various checks before inserting into or writing to a data
source table.
+ */
+private[sql] case class PreWriteCheck(catalog: Catalog) extends
Rule[LogicalPlan] {
+ def failAnalysis(msg: String) = { throw new AnalysisException(msg) }
+
+ def apply(plan: LogicalPlan): LogicalPlan = {
+plan.foreach {
+ case i @ logical.InsertIntoTable(
+l @ LogicalRelation(t: InsertableRelation), partition, query,
overwrite) =
+// Right now, we do not support insert into a data source table
with partition specs.
+if (partition.nonEmpty) {
+ failAnalysis(sInsert into a partition is not allowed because $l
is not partitioned.)
+} else {
+ // Get all input data source relations of the query.
+ val srcRelations = query.collect {
+case LogicalRelation(src: BaseRelation) = src
+ }
+ if (srcRelations.exists(src = src == t)) {
+failAnalysis(
+ sIt is not allowed to insert overwrite the table because it
is used as +
+ san input table.)
--- End diff --
`Cannot insert overwrite into table that is also being read from`
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
GitHub user yhuai opened a pull request: https://github.com/apache/spark/pull/4617 [SPARK-5746][SQL] Check invalid cases for the write path of data source API JIRA: https://issues.apache.org/jira/browse/SPARK-5746 @liancheng @marmbrus You can merge this pull request into a Git repository by running: $ git pull https://github.com/yhuai/spark insertOverwrite Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/4617.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 #4617 commit a88c5168901dc914ee9dee79bce5261b49a7e35e Author: Yin Huai yh...@databricks.com Date: 2015-02-13T22:57:23Z DDLParser will take a parsering function to take care CTAS statements. commit 6b7545c4abc4455df07b4508cb192718866c8e21 Author: Yin Huai yh...@databricks.com Date: 2015-02-16T00:21:23Z Add a pre write check to the data source API. commit 99da57ea60b5a67978423631e81bba38373a6e06 Author: Yin Huai yh...@databricks.com Date: 2015-02-16T00:37:12Z Merge remote-tracking branch 'upstream/master' into insertOverwrite --- 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
[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/4617#discussion_r24728239
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala ---
@@ -66,14 +66,17 @@ class HiveContext(sc: SparkContext) extends
SQLContext(sc) {
override protected[sql] def executePlan(plan: LogicalPlan):
this.QueryExecution =
new this.QueryExecution(plan)
+ @transient
+ protected[sql] val ddlParserWithHiveQL = new
DDLParser(HiveQl.parseSql(_))
--- End diff --
I am adding another ddl parser which takes `HiveQl.parseSql` to handle CTAS
statements.
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
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[GitHub] spark pull request: [SPARK-5746][SQL] Check invalid cases for the ...
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/4617#discussion_r24728499
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/parquet/ParquetQuerySuite.scala ---
@@ -37,20 +37,22 @@ class ParquetQuerySuite extends QueryTest with
ParquetTest {
test(s$prefix: appending) {
val data = (0 until 10).map(i = (i, i.toString))
+ createDataFrame(data).toDataFrame(c1,
c2).registerTempTable(tmp)
withParquetTable(data, t) {
-sql(INSERT INTO TABLE t SELECT * FROM t)
+sql(INSERT INTO TABLE t SELECT * FROM tmp)
checkAnswer(table(t), (data ++ data).map(Row.fromTuple))
}
+ catalog.unregisterTable(Seq(tmp))
}
-// This test case will trigger the NPE mentioned in
-// https://issues.apache.org/jira/browse/PARQUET-151.
-ignore(s$prefix: overwriting) {
+test(s$prefix: overwriting) {
--- End diff --
@liancheng I re-enabled this one. Seems it is fine now.
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