philo-he commented on code in PR #12151:
URL: https://github.com/apache/gluten/pull/12151#discussion_r3574353597


##########
backends-velox/src/main/scala/org/apache/gluten/extension/RuntimeBloomFilterRewriteRule.scala:
##########
@@ -0,0 +1,78 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.gluten.extension
+
+import org.apache.gluten.config.GlutenConfig
+import org.apache.gluten.expression.VeloxBloomFilterMightContain
+import org.apache.gluten.expression.aggregate.VeloxBloomFilterAggregate
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.expressions.{BloomFilterMightContain, 
XxHash64}
+import 
org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateExpression, 
BloomFilterAggregate}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.SparkPlan
+
+/**
+ * Physical pre-transform rule that rewrites runtime-filter bloom filters (the 
ones injected by
+ * Spark's `InjectRuntimeFilter` optimizer rule) to their Velox variants so 
they offload natively.
+ *
+ * Runtime bloom filters cannot be handled by 
[[BloomFilterMightContainJointRewriteRule]]: that rule
+ * is registered via `injectOptimizerRule`, which lands in Spark's Operator 
Optimization batch,
+ * while `InjectRuntimeFilter` runs in a later batch of `SparkOptimizer`. The 
runtime-filter
+ * expressions therefore do not exist yet when the logical rule fires, and a 
physical-level rewrite
+ * (as was always done before the logical rule was introduced) is required to 
keep
+ * `FilterExecTransformer` and the bloom-filter aggregate native.
+ *
+ * The rewrite is restricted to `InjectRuntimeFilter`'s exact expression 
shapes, which always wrap
+ * the key in [[XxHash64]] on both the producer and the consumer side:
+ *   - producer: `bloom_filter_agg(xxhash64(key), ...)` -> 
`velox_bloom_filter_agg(...)`
+ *   - consumer: `might_contain(bf, xxhash64(key))` -> 
`velox_might_contain(...)`
+ *
+ * Because each side is identifiable on its own, both are rewritten 
consistently to the Velox byte
+ * format (version=1) even when AQE compiles the bloom-filter subquery 
separately from the consuming
+ * filter stage. The `XxHash64` fingerprint also guarantees the other 
bloom-filter populations are
+ * never touched:
+ *   - `DataFrame.stat.bloomFilter()` builds `bloom_filter_agg(col, ...)` on 
the raw column (no
+ *     `XxHash64` wrapper) and deserializes the result with Spark's 
`BloomFilter.readFrom`, so its
+ *     bytes must stay in Spark-native format.
+ *   - User-facing `might_contain(<scalar subquery>, <value>)` pairs are 
already rewritten at the
+ *     logical level by [[BloomFilterMightContainJointRewriteRule]] (the 
GLUTEN-12013 fix), making
+ *     this rule a no-op for them.
+ *   - Literal-value pairs (SPARK-54336) contain no `XxHash64` and stay fully 
vanilla.
+ */
+case class RuntimeBloomFilterRewriteRule(spark: SparkSession) extends 
Rule[SparkPlan] {

Review Comment:
   @brijrajk, thank you so much for the update.
   
   For runtime bloom filters, could you clarify what happens if the producer 
and consumer become inconsistent, i.e., one is offloaded to Velox while the 
other falls back due to the fallback policy?
   



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to