]
Ramesh Reddy commented on TEIID-3442:
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[~blue666man] is this something you have bandwidth to contribute to Teiid? For me, it
seems like using the Thrift JDBC driver is good idea. Also, want to make sure you are
primarily intending to use as source?
Apache Spark support via SparkSQL and DataFrames
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Key: TEIID-3442
URL:
https://issues.jboss.org/browse/TEIID-3442
Project: Teiid
Issue Type: Feature Request
Components: Misc. Connectors
Affects Versions: 8.10
Reporter: John Muller
Labels: Connectors, Spark, Translators
Fix For: Open To Community
Original Estimate: 20 weeks
Remaining Estimate: 20 weeks
Eliciting comments for Apache Spark support. With the release of Panda's like
DataFrames, it is a little more feasible to directly translate to SparkSQL:
https://spark.apache.org/docs/latest/sql-programming-guide.html
Options in order of complexity:
1. Use the existing Hive connector / translator. Spark still uses the Hive metastore.
2. Thrift JDBC driver. This is what Microstrategy, Tableau, QlikView and others use,
most rudimentary API for accessing Spark.
3. Native SparkSQL via building Spark jobs and submitting them to a running Spark driver.