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https://issues.apache.org/jira/browse/HUDI-2208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17391810#comment-17391810
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ASF GitHub Bot commented on HUDI-2208:
--------------------------------------
nsivabalan commented on a change in pull request #3328:
URL: https://github.com/apache/hudi/pull/3328#discussion_r680197209
##########
File path:
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/command/InsertIntoHoodieTableCommand.scala
##########
@@ -209,19 +209,32 @@ object InsertIntoHoodieTableCommand {
.getOrElse(INSERT_DROP_DUPS_OPT_KEY.defaultValue)
.toBoolean
- val operation = if (isOverwrite) {
- if (table.partitionColumnNames.nonEmpty) {
- INSERT_OVERWRITE_OPERATION_OPT_VAL // overwrite partition
- } else {
- INSERT_OPERATION_OPT_VAL
+ val enableBulkInsert =
parameters.getOrElse(DataSourceWriteOptions.SQL_ENABLE_BULK_INSERT.key,
+ DataSourceWriteOptions.SQL_ENABLE_BULK_INSERT.defaultValue()).toBoolean
+ val isPartitionedTable = table.partitionColumnNames.nonEmpty
+ val isPrimaryKeyTable = primaryColumns.nonEmpty
+ val operation =
+ (isPrimaryKeyTable, enableBulkInsert, isOverwrite, dropDuplicate) match {
+ case (true, true, _, _) =>
+ throw new IllegalArgumentException(s"Table with primaryKey can not
use bulk insert.")
Review comment:
anyways, we can call it out that its responsibility of the user to
ensure there are uniqueness. Also, IIUC, hudi can handle duplicates. Incase of
updates, both records will be updated. but bulk_insert is very performant
compared to regular Insert especially w/ row wirter. So, we should not keep it
too restrictive for use. I know from the community msgs, that lot of users
leverage bulk_insert. I would vote to relax this constraint.
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> [SQL] Support Bulk Insert For Spark Sql
> ---------------------------------------
>
> Key: HUDI-2208
> URL: https://issues.apache.org/jira/browse/HUDI-2208
> Project: Apache Hudi
> Issue Type: Sub-task
> Reporter: pengzhiwei
> Assignee: pengzhiwei
> Priority: Blocker
> Labels: pull-request-available, release-blocker
>
> Support the bulk insert for spark sql
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