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.
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 |
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. |
| 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 |
- 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.
For VM-based installation, refer to VM-Based Deployment.
For more information, contact support@infoworks.io.
For VM-based, upgrade, refer to Upgrading Infoworks from 5.5.0 to 5.5.1 for VM.
The Product Availability Matrix (PAM) is available here.