Class

org.apache.spark.sql.cassandra

BasicCassandraPredicatePushDown

Related Doc: package cassandra

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class BasicCassandraPredicatePushDown[Predicate] extends AnyRef

Determines which filter predicates can be pushed down to Cassandra.

  1. Only push down no-partition key column predicates with =, >, <, >=, <= predicate 2. Only push down primary key column predicates with = or IN predicate. 3. If there are regular columns in the pushdown predicates, they should have at least one EQ expression on an indexed column and no IN predicates. 4. All partition column predicates must be included in the predicates to be pushed down, only the last part of the partition key can be an IN predicate. For each partition column, only one predicate is allowed. 5. For cluster column predicates, only last predicate can be non-EQ predicate including IN predicate, and preceding column predicates must be EQ predicates. If there is only one cluster column predicate, the predicates could be any non-IN predicate. 6. There is no pushdown predicates if there is any OR condition or NOT IN condition. 7. We're not allowed to push down multiple predicates for the same column if any of them is equality or IN predicate.

The list of predicates to be pushed down is available in predicatesToPushDown property. The list of predicates that cannot be pushed down is available in predicatesToPreserve property.

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Instance Constructors

  1. new BasicCassandraPredicatePushDown(predicates: Set[Predicate], table: TableDef, pv: ProtocolVersion = ProtocolVersion.NEWEST_SUPPORTED)(implicit arg0: PredicateOps[Predicate])

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    predicates

    list of filter predicates available in the user query

    table

    Cassandra table definition

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. val predicatesToPreserve: Set[Predicate]

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    Returns the set of predicates that cannot be pushed down to Cassandra, so they must be applied by Spark

  16. val predicatesToPushDown: Set[Predicate]

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    Returns the set of predicates that can be safely pushed down to Cassandra

  17. val pvOrdering: Ordering[ProtocolVersion]

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. val timeUUIDNonEqual: IndexedSeq[Predicate]

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    All non-equal predicates on a TimeUUID column are going to fail and fail in silent way.

    All non-equal predicates on a TimeUUID column are going to fail and fail in silent way. The basic issue here is that when you use a comparison on a time UUID column in C* it compares based on the Time portion of the UUID. When Spark executes this filter (unhandled behavior) it will compare lexically, this will lead to results being incorrectly filtered out of the set. As long as the range predicate is handled completely by the connector the correct result will be obtained.

  20. def toString(): String

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  21. val unhandledTimeUUIDNonEqual: Set[Predicate]

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  22. final def wait(): Unit

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  23. final def wait(arg0: Long, arg1: Int): Unit

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  24. final def wait(arg0: Long): Unit

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