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https://issues.apache.org/jira/browse/DRILL-6385?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16529313#comment-16529313
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ASF GitHub Bot commented on DRILL-6385:
---------------------------------------

weijietong commented on a change in pull request #1334: DRILL-6385: Support 
JPPD feature
URL: https://github.com/apache/drill/pull/1334#discussion_r199369589
 
 

 ##########
 File path: 
exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/ScanBatch.java
 ##########
 @@ -226,6 +244,96 @@ public IterOutcome next() {
     }
   }
 
+  private void applyRuntimeFilter() throws SchemaChangeException {
+    RuntimeFilterWritable runtimeFilterWritable = context.getRuntimeFilter();
+    if (runtimeFilterWritable == null) {
+      return;
+    }
+    if (recordCount <= 0) {
+      return;
+    }
+    List<BloomFilter> bloomFilters = runtimeFilterWritable.unwrap();
+    if (hash64 == null) {
+      ValueVectorHashHelper hashHelper = new ValueVectorHashHelper(this, 
context);
+      try {
+        //generate hash helper
+        this.toFilterFields = 
runtimeFilterWritable.getRuntimeFilterBDef().getProbeFieldsList();
+        List<LogicalExpression> hashFieldExps = new ArrayList<>();
+        List<TypedFieldId> typedFieldIds = new ArrayList<>();
+        for (String toFilterField : toFilterFields) {
+          SchemaPath schemaPath = new SchemaPath(new 
PathSegment.NameSegment(toFilterField), ExpressionPosition.UNKNOWN);
+          TypedFieldId typedFieldId = container.getValueVectorId(schemaPath);
+          this.field2id.put(toFilterField, typedFieldId.getFieldIds()[0]);
+          typedFieldIds.add(typedFieldId);
+          ValueVectorReadExpression toHashFieldExp = new 
ValueVectorReadExpression(typedFieldId);
+          hashFieldExps.add(toHashFieldExp);
+        }
+        hash64 = hashHelper.getHash64(hashFieldExps.toArray(new 
LogicalExpression[hashFieldExps.size()]), typedFieldIds.toArray(new 
TypedFieldId[typedFieldIds.size()]));
+      } catch (Exception e) {
+        throw UserException.internalError(e).build(logger);
+      }
+    }
+    selectionVector2.allocateNew(recordCount);
+    BitSet bitSet = new BitSet(recordCount);
+    for (int i = 0; i < toFilterFields.size(); i++) {
+      BloomFilter bloomFilter = bloomFilters.get(i);
+      String fieldName = toFilterFields.get(i);
+      computeBitSet(field2id.get(fieldName), bloomFilter, bitSet);
+    }
+    int svIndex = 0;
+    int tmpFilterRows = 0;
+    for (int i = 0; i < recordCount; i++) {
+      boolean contain = bitSet.get(i);
+      if (contain) {
+        selectionVector2.setIndex(svIndex, i);
+        svIndex++;
+      } else {
+        tmpFilterRows++;
+      }
+    }
+    selectionVector2.setRecordCount(svIndex);
+    if (tmpFilterRows > 0 && tmpFilterRows == recordCount) {
+      recordCount = 0;
+      selectionVector2.clear();
+      logger.debug("filter {} rows by the RuntimeFilter", tmpFilterRows);
+      return;
+    }
+    if (tmpFilterRows > 0 && tmpFilterRows != recordCount ) {
+      totalFilterRows = totalFilterRows + tmpFilterRows;
+      recordCount = svIndex;
+      BatchSchema batchSchema = this.schema;
+      VectorContainer backUpContainer = new 
VectorContainer(this.oContext.getAllocator(), batchSchema);
+      int fieldCount = batchSchema.getFieldCount();
+      for (int i = 0; i < fieldCount; i++) {
+        ValueVector from = 
this.getContainer().getValueVector(i).getValueVector();
+        ValueVector to = backUpContainer.getValueVector(i).getValueVector();
+        to.setInitialCapacity(svIndex);
+        for (int r = 0; r < svIndex; r++) {
+          to.copyEntry(r, from, selectionVector2.getIndex(r));
 
 Review comment:
   @aman thanks for other valuable reviews ,will soon update that. To this 
point, I initially tend to output the SV2. But to fellow reasons, I give up: 
   
   * Not all the possible operators support the SelectionModel. If users’ rule 
pushed down the filter conditions,the output SV2 maybe not processed by the not 
supported operators(i.e. it’s not definitive  to have a operator which supports 
the SelectionModel above the Scan node).
   
   * The BatchSchema’s SelectionModel also becomes a runtime var.This will also 
affect the upper filter node’s code-gen logic to dynamically generate fresh 
filter codes to the Scan’s SV2.
   
   I agree that the memory copy cost will be less if the above filter node can 
filter more rows over the Scan’s SV2.So what your opinion about this?

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> Support JPPD (Join Predicate Push Down)
> ---------------------------------------
>
>                 Key: DRILL-6385
>                 URL: https://issues.apache.org/jira/browse/DRILL-6385
>             Project: Apache Drill
>          Issue Type: New Feature
>          Components:  Server, Execution - Flow
>    Affects Versions: 1.14.0
>            Reporter: weijie.tong
>            Assignee: weijie.tong
>            Priority: Major
>
> This feature is to support the JPPD (Join Predicate Push Down). It will 
> benefit the HashJoin ,Broadcast HashJoin performance by reducing the number 
> of rows to send across the network ,the memory consumed. This feature is 
> already supported by Impala which calls it RuntimeFilter 
> ([https://www.cloudera.com/documentation/enterprise/5-9-x/topics/impala_runtime_filtering.html]).
>  The first PR will try to push down a bloom filter of HashJoin node to 
> Parquet’s scan node.   The propose basic procedure is described as follow:
>  # The HashJoin build side accumulate the equal join condition rows to 
> construct a bloom filter. Then it sends out the bloom filter to the foreman 
> node.
>  # The foreman node accept the bloom filters passively from all the fragments 
> that has the HashJoin operator. It then aggregates the bloom filters to form 
> a global bloom filter.
>  # The foreman node broadcasts the global bloom filter to all the probe side 
> scan nodes which maybe already have send out partial data to the hash join 
> nodes(currently the hash join node will prefetch one batch from both sides ).
>       4.  The scan node accepts a global bloom filter from the foreman node. 
> It will filter the rest rows satisfying the bloom filter.
>  
> To implement above execution flow, some main new notion described as below:
>       1. RuntimeFilter
> It’s a filter container which may contain BloomFilter or MinMaxFilter.
>       2. RuntimeFilterReporter
> It wraps the logic to send hash join’s bloom filter to the foreman.The 
> serialized bloom filter will be sent out through the data tunnel.This object 
> will be instanced by the FragmentExecutor and passed to the 
> FragmentContext.So the HashJoin operator can obtain it through the 
> FragmentContext.
>      3. RuntimeFilterRequestHandler
> It is responsible to accept a SendRuntimeFilterRequest RPC to strip the 
> actual BloomFilter from the network. It then translates this filter to the 
> WorkerBee’s new interface registerRuntimeFilter.
> Another RPC type is BroadcastRuntimeFilterRequest. It will register the 
> accepted global bloom filter to the WorkerBee by the registerRuntimeFilter 
> method and then propagate to the FragmentContext through which the probe side 
> scan node can fetch the aggregated bloom filter.
>       4.RuntimeFilterManager
> The foreman will instance a RuntimeFilterManager .It will indirectly get 
> every RuntimeFilter by the WorkerBee. Once all the BloomFilters have been 
> accepted and aggregated . It will broadcast the aggregated bloom filter to 
> all the probe side scan nodes through the data tunnel by a 
> BroadcastRuntimeFilterRequest RPC.
>      5. RuntimeFilterEnableOption 
>  A global option will be added to decide whether to enable this new feature.
>  
> Welcome suggestion and advice from you.The related PR will be presented as 
> soon as possible.



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