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When using the native execution engine in Fabric Runtime 1.3, you might encounter an error if your data contains legacy timestamps. This issue arises due to compatibility challenges introduced when Spark 3.0 transitioned to the Java 8 date/time API, which uses the Proleptic Gregorian calendar (SQL ISO standard). Earlier Spark versions utilized a hybrid Julian-Gregorian calendar, resulting in potential discrepancies when processing timestamp data created by different Spark versions.
Status: Open
Product Experience: Data Engineering
When using legacy timestamp support in native execution engine for Fabric Runtime 1.3, you receive an error. The error message is similar to: Error Source: USER. Error Code: UNSUPPORTED. Reason: Reading legacy timestamp is not supported.
For more information about the feature that addresses this known issue, see the blog post on legacy timestamp support. To activate the feature, add the following to your Spark session: SET spark.gluten.legacy.timestamp.rebase.enabled = true
. Dates that are post-1970 are unaffected, ensuring consistency without extra steps.
Events
Mar 31, 11 PM - Apr 2, 11 PM
The biggest Fabric, Power BI, and SQL learning event. March 31 – April 2. Use code FABINSIDER to save $400.
Register todayTraining
Module
Use Apache Spark in Microsoft Fabric - Training
Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data at scale.
Certification
Microsoft Certified: Fabric Data Engineer Associate - Certifications
As a Fabric Data Engineer, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes.
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