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https://issues.apache.org/jira/browse/NIFI-5788?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16676639#comment-16676639
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ASF GitHub Bot commented on NIFI-5788:
--------------------------------------
Github user vadimar commented on a diff in the pull request:
https://github.com/apache/nifi/pull/3128#discussion_r231087439
--- Diff:
nifi-nar-bundles/nifi-standard-bundle/nifi-standard-processors/src/main/java/org/apache/nifi/processors/standard/PutDatabaseRecord.java
---
@@ -265,6 +265,17 @@
.expressionLanguageSupported(ExpressionLanguageScope.VARIABLE_REGISTRY)
.build();
+ static final PropertyDescriptor BATCH_SIZE = new
PropertyDescriptor.Builder()
+ .name("put-db-record-batch-size")
+ .displayName("Bulk Size")
+ .description("Specifies batch size for INSERT and UPDATE
statements. This parameter has no effect for other statements specified in
'Statement Type'."
+ + " Non-positive value has the effect of infinite bulk
size.")
+ .defaultValue("-1")
--- End diff --
I'll change the default to be zero and the validator to
NONNEGATIVE_INTEGER_VALIDATOR
> Introduce batch size limit in PutDatabaseRecord processor
> ---------------------------------------------------------
>
> Key: NIFI-5788
> URL: https://issues.apache.org/jira/browse/NIFI-5788
> Project: Apache NiFi
> Issue Type: Improvement
> Components: Core Framework
> Environment: Teradata DB
> Reporter: Vadim
> Priority: Major
> Labels: pull-request-available
>
> Certain JDBC drivers do not support unlimited batch size in INSERT/UPDATE
> prepared SQL statements. Specifically, Teradata JDBC driver
> ([https://downloads.teradata.com/download/connectivity/jdbc-driver)] would
> fail SQL statement when the batch overflows the internal limits.
> Dividing data into smaller chunks before the PutDatabaseRecord is applied can
> work around the issue in certain scenarios, but generally, this solution is
> not perfect because the SQL statements would be executed in different
> transaction contexts and data integrity would not be preserved.
> The solution suggests the following:
> * introduce a new optional parameter in *PutDatabaseRecord* processor,
> *batch_size* which defines the maximum size of the bulk in INSERT/UPDATE
> statement; its default value is -1 (INFINITY) preserves the old behavior
> * divide the input into batches of the specified size and invoke
> PreparedStatement.executeBatch() for each batch
> Pull request: [https://github.com/apache/nifi/pull/3128]
>
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