Controlling automatic direct join optimizations in queries

DSE can optimize join queries to directly lookup data in the database without performing a Spark shuffle, which uses a full table scan.

By default, this optimization is turned on. Direct joins are used when:

(table size * directJoinSizeRatio) > size of keys

The value of directJoinSizeRatio should be between 0 and 1. By default, this value is 0.9. The directJoinSizeRatio setting can be set when creating the reference to the database table or in the Spark Session.

spark.conf.set("directJoinSizeRatio", 0.2)

You can permanently enable or disable this optimization by setting the directJoinSetting option. Valid settings for directJoinSetting are:

on to permanently enable the optimization
off to permanently disable the optimization
auto (the default value) to let DSE determine when to enable it according to the criteria from the directJoinSizeRatio setting

You can programmatically enable or disable directJoinSetting by calling the directJoin function.

import org.apache.spark.sql.cassandra.CassandraSourceRelation._
import org.apache.spark.sql.cassandra._
val table = spark.read.cassandraFormat("tab", "ks").load
spark
  .range(1L,100000L)
  .withColumn("id", concat(lit("Store "), 'id))
  .join(table.directJoin(AlwaysOff), 'id === 'store)

The directJoin function can be set to AlwaysOn to permanently enable the optimization, AlwaysOff to permanently disable the optimization, or Automatic to let DSE determine when to use the optimization according to the formula for directJoinSizeRatio described earlier.

Most users should not change the directJoinSetting option. In most cases the direct join should be faster than a full table scan. If the calculation is producing less than optimal results adjust the threshold for automatic joins, or turn the optimization off.

Controlling automatic direct join optimizations in queries

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