What's New > Data Integration Connectors > Changed behavior
  

Changed behavior

The July 2025 release includes changes in behavior for the following connectors.

Delta files

Effective in this release, Amazon S3 V2 and Microsoft Azure Data Lake Storage Gen2 Connectors include the following changes in behavior when you write to a delta file:

Amazon S3 V2 Connector

Effective in this release, when you write decimal values to an Avro file, the values are correctly written to the target.
Previously, certain decimal values were incorrectly written to an Avro file.
For example, the value 441265.1234 in the source was written as 4.412651234 in the target.

IBM MQ Connector

Effective in this release, when you run an IBM MQ mapping task to read message data from queues in real time and a transformation in the pipeline abruptly stops, the Secure Agent terminates the mapping task and stops reading message data from queues in IBM MQ.
Previously, even if a transformation in the pipeline abruptly stopped, the Secure Agent did not terminate the mapping task and continued to read message data from queues.

Microsoft Azure Synapse SQL Connector

Effective in this release, when you read data from Microsoft Azure Synapse SQL and the source table uses a UTF-8 compatible collation, you can read data directly from Microsoft Azure Synapse SQL without staging the data.
Previously, if the source table used a UTF-8 compatible collation, the mapping failed as it used Polybase queries that do not support UTF-8 collations.

Microsoft Fabric Data Warehouse Connector

Effective in this release, when you create a Microsoft Fabric Data Warehouse target at runtime where incoming string fields have a precision greater than 4000, the mapping preserves the precision in the new target.
Previously, the mapping did not preserve the precision of the incoming field and set the precision to 8000 by default.

MongoDB V2 Connector

Effective in this release, when you run a MongoDB V2 mapping to write data to a MongoDB V2 target configured with a primary key update column in the Target transformation, the mapping updates or upserts data in all rows that contain the same primary key value.
Previously, the mapping updated or upserted data only in the first row that contains the same primary key value.
This changed behavior doesn't apply to a mapping in advanced mode and it updates or upserts data only in the first row.

Snowflake Data Cloud Connector

Effective in this release, Snowflake Data Cloud Connector includes the following changes in behavior: