fanyue-xia commented on code in PR #45971:
URL: https://github.com/apache/spark/pull/45971#discussion_r1563379719


##########
sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQueryHashPartitionVerifySuite.scala:
##########
@@ -0,0 +1,199 @@
+/*
+ * 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.streaming
+
+import java.io.{BufferedWriter, DataInputStream, DataOutputStream, File, 
FileInputStream, FileOutputStream, FileWriter}
+
+import scala.io.Source
+import scala.util.Random
+
+import com.google.common.io.ByteStreams
+
+import org.apache.spark.SparkConf
+import org.apache.spark.io.CompressionCodec
+import org.apache.spark.sql.{RandomDataGenerator, Row}
+import org.apache.spark.sql.catalyst.CatalystTypeConverters
+import org.apache.spark.sql.catalyst.expressions.{BoundReference, 
GenericInternalRow, UnsafeProjection, UnsafeRow}
+import org.apache.spark.sql.catalyst.plans.physical._
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.streaming.StreamTest
+import org.apache.spark.sql.types.{BinaryType, DataType, DoubleType, 
FloatType, IntegerType, StringType, StructType}
+
+
+class StreamingQueryHashPartitionVerifySuite  extends StreamTest {
+  override protected def sparkConf: SparkConf =
+    super.sparkConf
+      .set(SQLConf.SHUFFLE_PARTITIONS.key, numShufflePartitions.toString)
+
+  // Configs for golden file
+  val goldenFileURI = 
this.getClass.getResource("/structured-streaming/partition-tests/").toURI
+
+  val schemaFileName = "randomSchemas" // files for storing random input 
schemas
+  val rowAndPartIdFilename =
+    "rowsAndPartIds" // files for storing random input rows and resulting 
partition ids
+  val codec = CompressionCodec.createCodec(
+    sparkConf) // Used for compressing output to rowAndPartId file
+
+  // Configs for random schema generation
+  private val variableTypes = Seq(IntegerType, DoubleType, FloatType, 
BinaryType, StringType)
+  val numSchemaTypes = 5
+  val maxNumFields = 10
+
+  // Configs for shuffle
+  val numRows = 10000
+  val numShufflePartitions = 100
+  private def saveSchemas(schemas: Seq[StructType]) = {
+    val writer = new BufferedWriter(new FileWriter(new 
File(goldenFileURI.getPath, schemaFileName)))
+    schemas.foreach{ schema =>
+      writer.write(schema.json)
+      writer.newLine()
+    }
+    writer.close()
+  }
+
+  private def readSchemas(): Seq[StructType] = {
+    val source = Source.fromFile(new File(goldenFileURI.getPath, 
schemaFileName))
+    try{
+      source.getLines().map{json => 
DataType.fromJson(json).asInstanceOf[StructType]}
+        .toArray // Avoid Stream lazy materialization
+        .toSeq
+    } finally
+      source.close()
+  }
+
+  private def saveRowsAndPartIds(rows: Seq[UnsafeRow], partIds: Seq[Int], os: 
DataOutputStream) = {
+    os.writeInt(rows.length)
+    rows.foreach { row =>
+      val rowBytes = row.getBytes()
+      os.writeInt(rowBytes.size)
+      os.write(rowBytes)}
+    partIds.foreach {id => os.writeInt(id)}
+  }
+
+  private def readRowsAndPartIds(is: DataInputStream): (Seq[UnsafeRow], 
Seq[Int]) = {
+    val numRows = is.readInt()
+    val rows = (1 to numRows).map{_ =>
+      val rowSize = is.readInt()
+      val rowBuffer = new Array[Byte](rowSize)
+      ByteStreams.readFully(is, rowBuffer, 0, rowSize)
+      val row = new UnsafeRow(1)
+      row.pointTo(rowBuffer, rowSize)
+      row
+    }
+    val partIds = (1 to numRows).map(_ => is.readInt()).toArray.toSeq

Review Comment:
   I run the formatter and it doesn't seem to add the space.



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