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[SPARK-23438][DSTREAMS] Fix DStreams data loss with WAL when driver c… #5
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…rashes There is a race condition introduced in SPARK-11141 which could cause data loss. The problem is that ReceivedBlockTracker.insertAllocatedBatch function assumes that all blocks from streamIdToUnallocatedBlockQueues allocated to the batch and clears the queue. In this PR only the allocated blocks will be removed from the queue which will prevent data loss. Additional unit test + manually. Author: Gabor Somogyi <[email protected]> Closes #20620 from gaborgsomogyi/SPARK-23438. (cherry picked from commit b308182) Signed-off-by: Marcelo Vanzin <[email protected]>
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## What changes were proposed in this pull request?
Implements Every, Some, Any aggregates in SQL. These new aggregate expressions are analyzed in normal way and rewritten to equivalent existing aggregate expressions in the optimizer.
Every(x) => Min(x) where x is boolean.
Some(x) => Max(x) where x is boolean.
Any is a synonym for Some.
SQL
```
explain extended select every(v) from test_agg group by k;
```
Plan :
```
== Parsed Logical Plan ==
'Aggregate ['k], [unresolvedalias('every('v), None)]
+- 'UnresolvedRelation `test_agg`
== Analyzed Logical Plan ==
every(v): boolean
Aggregate [k#0], [every(v#1) AS every(v)#5]
+- SubqueryAlias `test_agg`
+- Project [k#0, v#1]
+- SubqueryAlias `test_agg`
+- LocalRelation [k#0, v#1]
== Optimized Logical Plan ==
Aggregate [k#0], [min(v#1) AS every(v)#5]
+- LocalRelation [k#0, v#1]
== Physical Plan ==
*(2) HashAggregate(keys=[k#0], functions=[min(v#1)], output=[every(v)#5])
+- Exchange hashpartitioning(k#0, 200)
+- *(1) HashAggregate(keys=[k#0], functions=[partial_min(v#1)], output=[k#0, min#7])
+- LocalTableScan [k#0, v#1]
Time taken: 0.512 seconds, Fetched 1 row(s)
```
## How was this patch tested?
Added tests in SQLQueryTestSuite, DataframeAggregateSuite
Closes apache#22809 from dilipbiswal/SPARK-19851-specific-rewrite.
Authored-by: Dilip Biswal <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
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…rashes
There is a race condition introduced in SPARK-11141 which could cause data loss.
The problem is that ReceivedBlockTracker.insertAllocatedBatch function assumes that all blocks from streamIdToUnallocatedBlockQueues allocated to the batch and clears the queue.
In this PR only the allocated blocks will be removed from the queue which will prevent data loss.
Additional unit test + manually.
Author: Gabor Somogyi [email protected]
Closes apache#20620 from gaborgsomogyi/SPARK-23438.
(cherry picked from commit b308182)
Signed-off-by: Marcelo Vanzin [email protected]
What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Please review http://spark.apache.org/contributing.html before opening a pull request.