Github user AndreSchumacher commented on a diff in the pull request:
https://github.com/apache/spark/pull/511#discussion_r12022986
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetFilters.scala ---
@@ -0,0 +1,413 @@
+/*
+ * 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.spark.sql.parquet
+
+import org.apache.hadoop.conf.Configuration
+
+import parquet.filter._
+import parquet.filter.ColumnPredicates._
+import parquet.column.ColumnReader
+
+import com.google.common.io.BaseEncoding
+
+import org.apache.spark.sql.catalyst.types._
+import org.apache.spark.sql.catalyst.expressions.{Predicate =>
CatalystPredicate}
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.execution.SparkSqlSerializer
+
+object ParquetFilters {
+ val PARQUET_FILTER_DATA = "org.apache.spark.sql.parquet.row.filter"
+ // set this to false if pushdown should be disabled
+ val PARQUET_FILTER_PUSHDOWN_ENABLED =
"spark.sql.hints.parquetFilterPushdown"
+
+ def createRecordFilter(filterExpressions: Seq[Expression]):
UnboundRecordFilter = {
+ val filters: Seq[CatalystFilter] = filterExpressions.collect {
+ case (expression: Expression) if createFilter(expression).isDefined
=>
+ createFilter(expression).get
+ }
+ if (filters.length > 0) filters.reduce(AndRecordFilter.and) else null
+ }
+
+ def createFilter(expression: Expression): Option[CatalystFilter] = {
+ def createEqualityFilter(
+ name: String,
+ literal: Literal,
+ predicate: CatalystPredicate) = literal.dataType match {
+ case BooleanType =>
+ ComparisonFilter.createBooleanFilter(name,
literal.value.asInstanceOf[Boolean], predicate)
+ case IntegerType =>
+ ComparisonFilter.createIntFilter(
+ name,
+ (x: Int) => x == literal.value.asInstanceOf[Int],
+ predicate)
+ case LongType =>
+ ComparisonFilter.createLongFilter(
+ name,
+ (x: Long) => x == literal.value.asInstanceOf[Long],
+ predicate)
+ case DoubleType =>
+ ComparisonFilter.createDoubleFilter(
+ name,
+ (x: Double) => x == literal.value.asInstanceOf[Double],
+ predicate)
+ case FloatType =>
+ ComparisonFilter.createFloatFilter(
+ name,
+ (x: Float) => x == literal.value.asInstanceOf[Float],
+ predicate)
+ case StringType =>
+ ComparisonFilter.createStringFilter(name,
literal.value.asInstanceOf[String], predicate)
+ }
+ def createLessThanFilter(
+ name: String,
+ literal: Literal,
+ predicate: CatalystPredicate) = literal.dataType match {
+ case IntegerType =>
+ ComparisonFilter.createIntFilter(
+ name,
+ (x: Int) => x < literal.value.asInstanceOf[Int],
+ predicate)
+ case LongType =>
+ ComparisonFilter.createLongFilter(
+ name,
+ (x: Long) => x < literal.value.asInstanceOf[Long],
+ predicate)
+ case DoubleType =>
+ ComparisonFilter.createDoubleFilter(
+ name,
+ (x: Double) => x < literal.value.asInstanceOf[Double],
+ predicate)
+ case FloatType =>
+ ComparisonFilter.createFloatFilter(
+ name,
+ (x: Float) => x < literal.value.asInstanceOf[Float],
+ predicate)
+ }
+ def createLessThanOrEqualFilter(
+ name: String,
+ literal: Literal,
+ predicate: CatalystPredicate) = literal.dataType match {
+ case IntegerType =>
+ ComparisonFilter.createIntFilter(
+ name,
+ (x: Int) => x <= literal.value.asInstanceOf[Int],
+ predicate)
+ case LongType =>
+ ComparisonFilter.createLongFilter(
+ name,
+ (x: Long) => x <= literal.value.asInstanceOf[Long],
+ predicate)
+ case DoubleType =>
+ ComparisonFilter.createDoubleFilter(
+ name,
+ (x: Double) => x <= literal.value.asInstanceOf[Double],
+ predicate)
+ case FloatType =>
+ ComparisonFilter.createFloatFilter(
+ name,
+ (x: Float) => x <= literal.value.asInstanceOf[Float],
+ predicate)
+ }
+ // TODO: combine these two types somehow?
+ def createGreaterThanFilter(
+ name: String,
+ literal: Literal,
+ predicate: CatalystPredicate) = literal.dataType match {
+ case IntegerType =>
+ ComparisonFilter.createIntFilter(
+ name,
+ (x: Int) => x > literal.value.asInstanceOf[Int],
+ predicate)
+ case LongType =>
+ ComparisonFilter.createLongFilter(
+ name,
+ (x: Long) => x > literal.value.asInstanceOf[Long],
+ predicate)
+ case DoubleType =>
+ ComparisonFilter.createDoubleFilter(
+ name,
+ (x: Double) => x > literal.value.asInstanceOf[Double],
+ predicate)
+ case FloatType =>
+ ComparisonFilter.createFloatFilter(
+ name,
+ (x: Float) => x > literal.value.asInstanceOf[Float],
+ predicate)
+ }
+ def createGreaterThanOrEqualFilter(
+ name: String,
+ literal: Literal,
+ predicate: CatalystPredicate) = literal.dataType match {
+ case IntegerType =>
+ ComparisonFilter.createIntFilter(
+ name, (x: Int) => x >= literal.value.asInstanceOf[Int],
+ predicate)
+ case LongType =>
+ ComparisonFilter.createLongFilter(
+ name,
+ (x: Long) => x >= literal.value.asInstanceOf[Long],
+ predicate)
+ case DoubleType =>
+ ComparisonFilter.createDoubleFilter(
+ name,
+ (x: Double) => x >= literal.value.asInstanceOf[Double],
+ predicate)
+ case FloatType =>
+ ComparisonFilter.createFloatFilter(
+ name,
+ (x: Float) => x >= literal.value.asInstanceOf[Float],
+ predicate)
+ }
+ // TODO: we currently only filter on non-nullable (Parquet REQUIRED)
attributes until
+ // https://github.com/Parquet/parquet-mr/issues/371
+ // has been resolved
+ expression match {
+ case p @ Or(left: Expression, right: Expression)
+ if createFilter(left).isDefined && createFilter(right).isDefined
=> {
+ // If either side of this Or-predicate is empty then this means
+ // it contains a more complex comparison than between attribute
and literal
+ // (e.g., it contained a CAST). The only safe thing to do is then
to disregard
+ // this disjunction, which could be contained in a conjunction. If
it stands
+ // alone then it is also safe to drop it, since a Null return
value of this
+ // function is interpreted as having no filters at all.
+ val leftFilter = createFilter(left).get
+ val rightFilter = createFilter(right).get
+ Some(new OrFilter(leftFilter, rightFilter))
+ }
+ case p @ And(left: Expression, right: Expression) => {
+ // This treats nested conjunctions; since either side of the
conjunction
+ // may contain more complex filter expressions we may actually
generate
+ // strictly weaker filter predicates in the process.
+ val leftFilter = createFilter(left)
+ val rightFilter = createFilter(right)
+ (leftFilter, rightFilter) match {
+ case (None, Some(filter)) => Some(filter)
+ case (Some(filter), None) => Some(filter)
+ case (_, _) =>
+ Some(new AndFilter(leftFilter.get, rightFilter.get))
+ }
+ }
+ case p @ Equals(left: Literal, right: NamedExpression) if
!right.nullable =>
+ Some(createEqualityFilter(right.name, left, p))
+ case p @ Equals(left: NamedExpression, right: Literal) if
!left.nullable =>
+ Some(createEqualityFilter(left.name, right, p))
+ case p @ LessThan(left: Literal, right: NamedExpression) if
!right.nullable =>
+ Some(createLessThanFilter(right.name, left, p))
+ case p @ LessThan(left: NamedExpression, right: Literal) if
!left.nullable =>
+ Some(createLessThanFilter(left.name, right, p))
+ case p @ LessThanOrEqual(left: Literal, right: NamedExpression) if
!right.nullable =>
+ Some(createLessThanOrEqualFilter(right.name, left, p))
+ case p @ LessThanOrEqual(left: NamedExpression, right: Literal) if
!left.nullable =>
+ Some(createLessThanOrEqualFilter(left.name, right, p))
+ case p @ GreaterThan(left: Literal, right: NamedExpression) if
!right.nullable =>
+ Some(createGreaterThanFilter(right.name, left, p))
+ case p @ GreaterThan(left: NamedExpression, right: Literal) if
!left.nullable =>
+ Some(createGreaterThanFilter(left.name, right, p))
+ case p @ GreaterThanOrEqual(left: Literal, right: NamedExpression)
if !right.nullable =>
+ Some(createGreaterThanOrEqualFilter(right.name, left, p))
+ case p @ GreaterThanOrEqual(left: NamedExpression, right: Literal)
if !left.nullable =>
+ Some(createGreaterThanOrEqualFilter(left.name, right, p))
+ case _ => None
+ }
+ }
+ // Note: Inside the Hadoop API we only have access to `Configuration`,
not to
+ // [[SparkContext]], so we cannot use broadcasts to convey the actual
filter
+ // predicate.
+ def serializeFilterExpressions(filters: Seq[Expression], conf:
Configuration): Unit = {
+ val serialized: Array[Byte] = SparkSqlSerializer.serialize(filters)
+ val encoded: String = BaseEncoding.base64().encode(serialized)
+ conf.set(PARQUET_FILTER_DATA, encoded)
+ }
+
+ // Note: Inside the Hadoop API we only have access to `Configuration`,
not to
+ // [[SparkContext]], so we cannot use broadcasts to convey the actual
filter
+ // predicate.
+ def deserializeFilterExpressions(conf: Configuration):
Option[Seq[Expression]] = {
+ val data = conf.get(PARQUET_FILTER_DATA)
+ if (data != null) {
+ val decoded: Array[Byte] = BaseEncoding.base64().decode(data)
+ Some(SparkSqlSerializer.deserialize(decoded))
+ } else {
+ None
+ }
+ }
+
+ // Try to find the given expression in the tree of filters in order to
--- End diff --
Changed it in a few places now and will try to remember next time.
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