gengliangwang commented on a change in pull request #24327: [SPARK-27418][SQL] 
Migrate Parquet to File Data Source V2
URL: https://github.com/apache/spark/pull/24327#discussion_r293878249
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetScanBuilder.scala
 ##########
 @@ -0,0 +1,75 @@
+/*
+ * 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.execution.datasources.v2.parquet
+
+import scala.collection.JavaConverters._
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex
+import org.apache.spark.sql.execution.datasources.parquet.{ParquetFilters, 
SparkToParquetSchemaConverter}
+import org.apache.spark.sql.execution.datasources.v2.FileScanBuilder
+import org.apache.spark.sql.sources.Filter
+import org.apache.spark.sql.sources.v2.reader.{Scan, SupportsPushDownFilters}
+import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+case class ParquetScanBuilder(
+    sparkSession: SparkSession,
+    fileIndex: PartitioningAwareFileIndex,
+    schema: StructType,
+    dataSchema: StructType,
+    options: CaseInsensitiveStringMap)
+  extends FileScanBuilder(sparkSession, fileIndex, dataSchema) with 
SupportsPushDownFilters {
+  lazy val hadoopConf = {
+    val caseSensitiveMap = options.asCaseSensitiveMap.asScala.toMap
+    // Hadoop Configurations are case sensitive.
+    sparkSession.sessionState.newHadoopConfWithOptions(caseSensitiveMap)
+  }
+
+  lazy val _pushedFilters = {
+    val sqlConf = sparkSession.sessionState.conf
+    val pushDownDate = sqlConf.parquetFilterPushDownDate
+    val pushDownTimestamp = sqlConf.parquetFilterPushDownTimestamp
+    val pushDownDecimal = sqlConf.parquetFilterPushDownDecimal
+    val pushDownStringStartWith = sqlConf.parquetFilterPushDownStringStartWith
+    val pushDownInFilterThreshold = 
sqlConf.parquetFilterPushDownInFilterThreshold
+    val isCaseSensitive = sqlConf.caseSensitiveAnalysis
+    val parquetSchema =
+      new 
SparkToParquetSchemaConverter(sparkSession.sessionState.conf).convert(schema)
+    val parquetFilters = new ParquetFilters(parquetSchema, pushDownDate, 
pushDownTimestamp,
+      pushDownDecimal, pushDownStringStartWith, pushDownInFilterThreshold, 
isCaseSensitive)
+    parquetFilters.convertibleFilters(this.filters).toArray
 
 Review comment:
   `ParquetFilters.convertibleFilters` returns 
`Seq[org.apache.spark.sql.sources.Filter] `
   `ParquetFilters.createFilters` returns 
`org.apache.parquet.filter2.predicate.FilterPredicate`
   
   The overlap of the two methods is only on the `And`/`Or`/`Not` operator.

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