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Thursday, November 16 • 9:50am - 10:30am
Turning a Relational RDBMS Table into a Spark Datasource

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This session presents a Spark DataSource implementation for integrating (joining) Big Data in HDFS or NoSQL DBMS with Master Data in RDBMS table. The session describes how to allow parallel and direct access to RDBMS tables from Spark, generate partitions of Spark JDBCRDDs based on the split pattern and rewrites Spark SQL queries into the RDBMS SQL dialect. The session also describes the performance optimizations including hooks in the JDBC driver for faster type conversions, pushing down predicates to the RDBMS, pruning partition based on the where clause, and projecting columns to the RDBMS table to reduce the amount of data returned and processed on Spark.

Speakers
avatar for Kuassi Mensah

Kuassi Mensah

Director Product Management, Oracle USA
Kuassi is Director of Product Management at Oracle. He covers the following product areas (i) Java connectivity to DB  (Cloud,  on-premises): JDBC, JDBC Reactive Extensions, in-place DB processing with embedded JVM  (ii) Zero downtime, multi-tenancy, and sharding for Java apps... Read More →


Thursday November 16, 2017 9:50am - 10:30am
Data

Attendees (37)