Front frontapp. GetResponse getresponse. Groove groovehq. Harvest getharvest. HelloSign hellosign. Helpscout helpscout. Humanity humanity. IVA internetvideoarchive. Insightly insightly. Intercom intercom. Jumpseller jumpseller. Klaviyo klaviyo. KnowledgeOwl knowledgeowl. LaunchDarkly launchdarkly. Leaddesk leaddesk. Mailjet mailjet. Mattermark mattermark. MessageBird messagebird.
OANDA oanda. Optimizely optimizely. PersistIQ persistiq. Pipedrive pipedrive. PipelineDeals pipelinedeals. Support Level determines the degree of support available for this database learn more. Refer to this when troubleshooting authentication problems.
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NET Microsoft. NET Framework 4. Source Type. Source version. Middleware version. Generic source. Generic JavaBean. Greenplum Database. PostgreSQL 9. DB2 for i iSeries.
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MarkLogic learn more ». Microsoft SQL Server learn more ». Oracle Database learn more ». The default is for primary keys to not be extracted with pk. There are different modes that enable to use fields from the Kafka record key, the Kafka record value, or the Kafka coordinates for the record. Refer to primary key configuration options for further detail. The connector can delete rows in a database table when it consumes a tombstone record, which is a Kafka record that has a non-null key and a null value.
This behavior is disabled by default, meaning that any tombstone records will result in a failure of the connector, making it easy to upgrade the JDBC connector and keep prior behavior. Deletes can be enabled with delete. This is because deleting a row from the table requires the primary key be used as criteria.
Enabling delete mode does not affect the insert. The default insert. Upsert semantics refer to atomically adding a new row or updating the existing row if there is a primary key constraint violation, which provides idempotence.
If there are failures, the Kafka offset used for recovery may not be up-to-date with what was committed as of the time of the failure, which can lead to re-processing during recovery. The upsert mode is highly recommended as it helps avoid constraint violations or duplicate data if records need to be re-processed.
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