-
Notifications
You must be signed in to change notification settings - Fork 29k
[SPARK-26435][SQL] Support creating partitioned table using Hive CTAS by specifying partition column names #23376
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Closed
Closed
Changes from all commits
Commits
Show all changes
5 commits
Select commit
Hold shift + click to select a range
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -1196,33 +1196,40 @@ class SparkSqlAstBuilder(conf: SQLConf) extends AstBuilder(conf) { | |
|
|
||
| selectQuery match { | ||
| case Some(q) => | ||
| // Hive does not allow to use a CTAS statement to create a partitioned table. | ||
| if (tableDesc.partitionColumnNames.nonEmpty) { | ||
| val errorMessage = "A Create Table As Select (CTAS) statement is not allowed to " + | ||
| "create a partitioned table using Hive's file formats. " + | ||
| "Please use the syntax of \"CREATE TABLE tableName USING dataSource " + | ||
| "OPTIONS (...) PARTITIONED BY ...\" to create a partitioned table through a " + | ||
| "CTAS statement." | ||
| operationNotAllowed(errorMessage, ctx) | ||
| } | ||
|
|
||
| // Don't allow explicit specification of schema for CTAS. | ||
| if (schema.nonEmpty) { | ||
| if (dataCols.nonEmpty) { | ||
| operationNotAllowed( | ||
| "Schema may not be specified in a Create Table As Select (CTAS) statement", | ||
| ctx) | ||
| } | ||
|
|
||
| // When creating partitioned table with CTAS statement, we can't specify data type for the | ||
| // partition columns. | ||
| if (partitionCols.nonEmpty) { | ||
|
Member
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I changed the check of |
||
| val errorMessage = "Create Partitioned Table As Select cannot specify data type for " + | ||
| "the partition columns of the target table." | ||
| operationNotAllowed(errorMessage, ctx) | ||
| } | ||
|
|
||
| // Hive CTAS supports dynamic partition by specifying partition column names. | ||
| val partitionColumnNames = | ||
| Option(ctx.partitionColumnNames) | ||
| .map(visitIdentifierList(_).toArray) | ||
| .getOrElse(Array.empty[String]) | ||
|
|
||
| val tableDescWithPartitionColNames = | ||
| tableDesc.copy(partitionColumnNames = partitionColumnNames) | ||
|
|
||
| val hasStorageProperties = (ctx.createFileFormat.size != 0) || (ctx.rowFormat.size != 0) | ||
| if (conf.convertCTAS && !hasStorageProperties) { | ||
| // At here, both rowStorage.serdeProperties and fileStorage.serdeProperties | ||
| // are empty Maps. | ||
| val newTableDesc = tableDesc.copy( | ||
| val newTableDesc = tableDescWithPartitionColNames.copy( | ||
| storage = CatalogStorageFormat.empty.copy(locationUri = locUri), | ||
| provider = Some(conf.defaultDataSourceName)) | ||
| CreateTable(newTableDesc, mode, Some(q)) | ||
| } else { | ||
| CreateTable(tableDesc, mode, Some(q)) | ||
| CreateTable(tableDescWithPartitionColNames, mode, Some(q)) | ||
| } | ||
| case None => CreateTable(tableDesc, mode, None) | ||
| } | ||
|
|
||
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I think this check should go first.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
oh, because
val schema = StructType(dataCols ++ partitionCols)is defined, if this check goes first, it will shadow the next checkif (tableDesc.partitionColumnNames.nonEmpty).There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
then can we check
dataColsdirectly?There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Ok. That's good.