v5.5.2

Date of Release: March 2025

This section consists of the new features and enhancements introduced in this release.

The 'Triggered By' field has been added in the Workflow Runs and Tasks pages of the admin section. It displays information about the user, schedule, and workflow for each workflow run.

Resolved Issues

This section consists of the resolved issues in this release:

JIRA ID	Issue
IPD-25952	Status.sh showing connection error warnings/exception stack trace when all services are in stopped state
IPD-26547	Spike in CPU Utilization for Platform Service
IPD-26469	Dynamics 365 Sales connector
IPD-26718	Spark config `spark.yarn.maxAppAttempts` doesn't take effect if we set it as an advanced config in infoworks
IPD-26746	Platform CPU Utilization is spiking up due to set of workflows
IPD-26749	The pipeline build job is failing with Table not found error when the source table of the pipeline belongs to a different domain's pipeline (target table)
IPD-26745	Import source configuration issue with 'Cdata sources'
IPD-26794	The pipeline version is not getting mapped during the workflow import

Known Issues

The following section contains known issues that Infoworks is aware of, and is working on a fix in an upcoming release:

JIRA ID	Issue
IPD-27696	User is able to delete to the pipeline extension added to a domain, and appropriate error message should be displayed.
IPD-27658	For kafka source the inverted comma is removed from the table name while switching between incremental mode.
IPD-27682	Ingestion for tables created using query as a table with insert overwrite and derived splitby configured fails for a CDC job.
IPD-27573	The first full-load pipeline build in APPEND/MERGE mode fails to create the schema if it doesn't exist when 'Build Target Metadata' runs before the build on EMR 6.15.0
IPD-27669	Validation error noticed for snowflake pipeline with build mode as Merge for Kafka source table in insert overwrite mode
IPD-25836	CDC pipeline builds with Insert Overwrite mode is failing on Azure databricks environment with DELTA storage format. NOTE When delta format is used for target node in insert overwrite mode, the pipeline build fails on persistent and ephemeral clusters for Azure Databricks environment. You will receive the following error message "Nested subquery is not supported in the DELETE condition". This is a known limitation from Databricks SQL on Delta and the pipeline build cannot be performed on Azure Databricks in Insert Overwrite mode and Delta format.
IPD-25879	Sync to target to oracle db fails for the latest oracle instance (Oracle Version 19)
IPD-25882	NPE is noticed for Oracle sync to target when additional param field is empty.
IPD-27700	Ingest job is failing for JSON table when any column is excluded

Limitations

Multiple pipelines executing in parallel on spark compute (dataplane) cause snowflake session failures leading to failed pipeline builds. Thus, It is recommended to run snowflake pushdown queries on compute plane.

Installation

For VM-based installation, refer to VM-Based Deployment.

For more information, contact support@infoworks.io.

Upgrade

For VM-based, upgrade, refer to Upgrading Infoworks from 5.5.0 to 5.5.1 for VM.

PAM

The Product Availability Matrix (PAM) is available here.

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