object StreamingJoinHelper extends PredicateHelper with Logging
Helper object for stream joins. See StreamingSymmetricHashJoinExec in SQL for more details.
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def
canEvaluate(expr: Expression, plan: LogicalPlan): Boolean
Returns true if
exprcan be evaluated using only the output ofplan.Returns true if
exprcan be evaluated using only the output ofplan. This method can be used to determine when it is acceptable to move expression evaluation within a query plan.For example consider a join between two relations R(a, b) and S(c, d).
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canEvaluate(EqualTo(a,b), R)returnstrue-canEvaluate(EqualTo(a,c), R)returnsfalse-canEvaluate(Literal(1), R)returnstrueas literals CAN be evaluated on any plan- Attributes
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def
canEvaluateWithinJoin(expr: Expression): Boolean
Returns true iff
exprcould be evaluated as a condition within join.Returns true iff
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def
findExpressionAndTrackLineageDown(exp: Expression, plan: LogicalPlan): Option[(Expression, LogicalPlan)]
Find the origin of where the input references of expression exp were scanned in the tree of plan, and if they originate from a single leaf node.
Find the origin of where the input references of expression exp were scanned in the tree of plan, and if they originate from a single leaf node. Returns optional tuple with Expression, undoing any projections and aliasing that has been done along the way from plan to origin, and the origin LeafNode plan from which all the exp
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def
getStateValueWatermark(attributesToFindStateWatermarkFor: AttributeSet, attributesWithEventWatermark: AttributeSet, joinCondition: Option[Expression], eventWatermark: Option[Long]): Option[Long]
Get state value watermark (see StreamingSymmetricHashJoinExec for context about it) given the join condition and the event time watermark.
Get state value watermark (see StreamingSymmetricHashJoinExec for context about it) given the join condition and the event time watermark. This is how it works. - The condition is split into conjunctive predicates, and we find the predicates of the form
leftTime + c1 < rightTime + c2(or <=, >, >=). - We canoncalize the predicate and solve it with the event time watermark value to find the value of the state watermark. This function is supposed to make best-effort attempt to get the state watermark. If there is any error, it will return None.- attributesToFindStateWatermarkFor
attributes of the side whose state watermark is to be calculated
- attributesWithEventWatermark
attributes of the other side which has a watermark column
- joinCondition
join condition
- eventWatermark
watermark defined on the input event data
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state value watermark in milliseconds, is possible.
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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initializeLogIfNecessary(isInterpreter: Boolean): Unit
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isTraceEnabled(): Boolean
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def
isWatermarkInJoinKeys(plan: LogicalPlan): Boolean
Check the provided logical plan to see if its join keys contain a watermark attribute.
Check the provided logical plan to see if its join keys contain a watermark attribute.
Will return false if the plan is not an equijoin.
- plan
the logical plan to check
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log: Logger
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logInfo(msg: ⇒ String): Unit
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logName: String
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logTrace(msg: ⇒ String, throwable: Throwable): Unit
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logTrace(msg: ⇒ String): Unit
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def
replaceAlias(condition: Expression, aliases: AttributeMap[Expression]): Expression
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def
splitConjunctivePredicates(condition: Expression): Seq[Expression]
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def
splitDisjunctivePredicates(condition: Expression): Seq[Expression]
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