[HUDI-1869] Upgrading Spark3 To 3.1 (#3844)

Co-authored-by: pengzhiwei <pengzhiwei2015@icloud.com>

hudi-client/hudi-spark-client/src/main/scala/org/apache/hudi/AvroConversionHelper.scala

@@ -28,12 +28,15 @@ import org.apache.avro.Schema.Type._
 import org.apache.avro.generic.GenericData.{Fixed, Record}
 import org.apache.avro.generic.{GenericData, GenericFixed, GenericRecord}
 import org.apache.avro.{LogicalTypes, Schema}
+
 import org.apache.spark.sql.Row
-import org.apache.spark.sql.avro.{IncompatibleSchemaException, SchemaConverters}
+import org.apache.spark.sql.avro.SchemaConverters
 import org.apache.spark.sql.catalyst.expressions.GenericRow
 import org.apache.spark.sql.catalyst.util.DateTimeUtils
 import org.apache.spark.sql.types._
+
 import org.apache.hudi.AvroConversionUtils._
+import org.apache.hudi.exception.HoodieIncompatibleSchemaException
 
 import scala.collection.JavaConverters._
 
@@ -131,7 +134,7 @@ object AvroConversionHelper {
                 case null =>
                   new Timestamp(item.asInstanceOf[Long])
                 case other =>
-                  throw new IncompatibleSchemaException(
+                  throw new HoodieIncompatibleSchemaException(
                     s"Cannot convert Avro logical type $other to Catalyst Timestamp type.")
               }
             }
@@ -149,7 +152,7 @@ object AvroConversionHelper {
               converters(i) = converter
               avroFieldIndexes(i) = avroField.pos()
             } else if (!sqlField.nullable) {
-              throw new IncompatibleSchemaException(
+              throw new HoodieIncompatibleSchemaException(
                 s"Cannot find non-nullable field ${sqlField.name} at path ${path.mkString(".")} " +
                   "in Avro schema\n" +
                   s"Source Avro schema: $sourceAvroSchema.\n" +
@@ -254,7 +257,7 @@ object AvroConversionHelper {
                       converted(i) = fieldConverters(i)(item)
                       new GenericRow(converted)
                     }
-                case _ => throw new IncompatibleSchemaException(
+                case _ => throw new HoodieIncompatibleSchemaException(
                   s"Cannot convert Avro schema to catalyst type because schema at path " +
                     s"${path.mkString(".")} is not compatible " +
                     s"(avroType = $other, sqlType = $sqlType). \n" +
@@ -263,7 +266,7 @@ object AvroConversionHelper {
               }
           }
         case (left, right) =>
-          throw new IncompatibleSchemaException(
+          throw new HoodieIncompatibleSchemaException(
             s"Cannot convert Avro schema to catalyst type because schema at path " +
               s"${path.mkString(".")} is not compatible (avroType = $left, sqlType = $right). \n" +
               s"Source Avro schema: $sourceAvroSchema.\n" +

hudi-client/hudi-spark-client/src/main/scala/org/apache/spark/sql/hudi/SparkAdapter.scala

@@ -87,4 +87,9 @@ trait SparkAdapter extends Serializable {
    * Create Like expression.
    */
   def createLike(left: Expression, right: Expression): Expression
+
+  /**
+   * ParserInterface#parseMultipartIdentifier is supported since spark3, for spark2 this should not be called.
+   */
+  def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String]
 }

hudi-common/src/main/java/org/apache/hudi/exception/HoodieIncompatibleSchemaException.java

@@ -0,0 +1,33 @@
+/*
+ * 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.hudi.exception;
+
+/**
+ * Exception for incompatible schema.
+ */
+public class HoodieIncompatibleSchemaException extends Exception {
+
+  public HoodieIncompatibleSchemaException(String msg, Throwable e) {
+    super(msg, e);
+  }
+
+  public HoodieIncompatibleSchemaException(String msg) {
+    super(msg);
+  }
+}

hudi-spark-datasource/hudi-spark/pom.xml

@@ -503,6 +503,13 @@
       <scope>test</scope>
     </dependency>
 
+    <dependency>
+      <groupId>org.slf4j</groupId>
+      <artifactId>slf4j-api</artifactId>
+      <version>${slf4j.version}</version>
+      <scope>test</scope>
+    </dependency>
+
     <dependency>
       <groupId>org.apache.hadoop</groupId>
       <artifactId>hadoop-hdfs</artifactId>
@@ -524,6 +531,5 @@
         </exclusion>
       </exclusions>
     </dependency>
-
   </dependencies>
 </project>

hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/hudi/HoodieMergeOnReadRDD.scala

@@ -28,7 +28,7 @@ import org.apache.hudi.exception.HoodieException
 import org.apache.hudi.hadoop.config.HoodieRealtimeConfig
 import org.apache.hudi.hadoop.utils.HoodieInputFormatUtils.HOODIE_RECORD_KEY_COL_POS
 import org.apache.spark.rdd.RDD
-import org.apache.spark.sql.avro.{AvroDeserializer, AvroSerializer}
+import org.apache.spark.sql.avro.{HoodieAvroSerializer, HooodieAvroDeserializer}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{SpecificInternalRow, UnsafeProjection}
 import org.apache.spark.sql.execution.datasources.PartitionedFile
@@ -119,7 +119,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
         tableState.requiredStructSchema
           .map(f => tableAvroSchema.getField(f.name).pos()).toList
       private val recordBuilder = new GenericRecordBuilder(requiredAvroSchema)
-      private val deserializer = new AvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
+      private val deserializer = HooodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
       private val unsafeProjection = UnsafeProjection.create(tableState.requiredStructSchema)
       private val logRecords = HoodieMergeOnReadRDD.scanLog(split, tableAvroSchema, config).getRecords
       private val logRecordsKeyIterator = logRecords.keySet().iterator().asScala
@@ -135,7 +135,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
           } else {
             val requiredAvroRecord = AvroConversionUtils
               .buildAvroRecordBySchema(curAvroRecord.get(), requiredAvroSchema, requiredFieldPosition, recordBuilder)
-            recordToLoad = unsafeProjection(deserializer.deserialize(requiredAvroRecord).asInstanceOf[InternalRow])
+            recordToLoad = unsafeProjection(deserializer.deserializeData(requiredAvroRecord).asInstanceOf[InternalRow])
             true
           }
         } else {
@@ -158,7 +158,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
         tableState.requiredStructSchema
           .map(f => tableAvroSchema.getField(f.name).pos()).toList
       private val recordBuilder = new GenericRecordBuilder(requiredAvroSchema)
-      private val deserializer = new AvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
+      private val deserializer = HooodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
       private val unsafeProjection = UnsafeProjection.create(tableState.requiredStructSchema)
       private val logRecords = HoodieMergeOnReadRDD.scanLog(split, tableAvroSchema, config).getRecords
       private val logRecordsKeyIterator = logRecords.keySet().iterator().asScala
@@ -180,7 +180,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
             } else {
               val requiredAvroRecord = AvroConversionUtils
                 .buildAvroRecordBySchema(curAvroRecord.get(), requiredAvroSchema, requiredFieldPosition, recordBuilder)
-              recordToLoad = unsafeProjection(deserializer.deserialize(requiredAvroRecord).asInstanceOf[InternalRow])
+              recordToLoad = unsafeProjection(deserializer.deserializeData(requiredAvroRecord).asInstanceOf[InternalRow])
               true
             }
           } else {
@@ -203,8 +203,8 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
       private val requiredFieldPosition =
         tableState.requiredStructSchema
           .map(f => tableAvroSchema.getField(f.name).pos()).toList
-      private val serializer = new AvroSerializer(tableState.tableStructSchema, tableAvroSchema, false)
+      private val serializer = HoodieAvroSerializer(tableState.tableStructSchema, tableAvroSchema, false)
-      private val requiredDeserializer = new AvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
+      private val requiredDeserializer = HooodieAvroDeserializer(requiredAvroSchema, tableState.requiredStructSchema)
       private val recordBuilder = new GenericRecordBuilder(requiredAvroSchema)
       private val unsafeProjection = UnsafeProjection.create(tableState.requiredStructSchema)
       private val logRecords = HoodieMergeOnReadRDD.scanLog(split, tableAvroSchema, config).getRecords
@@ -236,7 +236,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
                   recordBuilder
                 )
               recordToLoad = unsafeProjection(requiredDeserializer
-                .deserialize(requiredAvroRecord).asInstanceOf[InternalRow])
+                .deserializeData(requiredAvroRecord).asInstanceOf[InternalRow])
               true
             }
           } else {
@@ -264,7 +264,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext,
                     recordBuilder
                   )
                 recordToLoad = unsafeProjection(requiredDeserializer
-                  .deserialize(requiredAvroRecord).asInstanceOf[InternalRow])
+                  .deserializeData(requiredAvroRecord).asInstanceOf[InternalRow])
                 true
               }
             }

hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/avro/HoodieAvroSerializer.scala

@@ -0,0 +1,28 @@
+/*
+ * 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.avro
+
+import org.apache.avro.Schema
+import org.apache.spark.sql.types.DataType
+
+/**
+ * As AvroSerializer cannot be access out of the spark.sql.avro package since spark 3.1, we define
+ * this class to be accessed by other class.
+ */
+case class HoodieAvroSerializer(rootCatalystType: DataType, rootAvroType: Schema, nullable: Boolean)
+  extends AvroSerializer(rootCatalystType, rootAvroType, nullable)

hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/avro/HooodieAvroDeserializer.scala

@@ -0,0 +1,36 @@
+/*
+ * 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.avro
+
+import org.apache.avro.Schema
+import org.apache.spark.sql.types.DataType
+
+/**
+ * This is to be compatible with the type returned by Spark 3.1
+ * and other spark versions for AvroDeserializer
+ */
+case class HooodieAvroDeserializer(rootAvroType: Schema, rootCatalystType: DataType)
+  extends AvroDeserializer(rootAvroType, rootCatalystType) {
+
+  def deserializeData(data: Any): Any = {
+    super.deserialize(data) match {
+      case Some(r) => r // spark 3.1 return type is Option, we fetch the data.
+      case o => o // for other spark version, return the data directly.
+    }
+  }
+}

hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/command/payload/ExpressionPayload.scala

@@ -31,7 +31,7 @@ import org.apache.hudi.common.util.{ValidationUtils, Option => HOption}
 import org.apache.hudi.config.HoodieWriteConfig
 import org.apache.hudi.io.HoodieWriteHandle
 import org.apache.hudi.sql.IExpressionEvaluator
-import org.apache.spark.sql.avro.{AvroSerializer, SchemaConverters}
+import org.apache.spark.sql.avro.{AvroSerializer, HoodieAvroSerializer, SchemaConverters}
 import org.apache.spark.sql.catalyst.expressions.Expression
 import org.apache.spark.sql.hudi.SerDeUtils
 import org.apache.spark.sql.hudi.command.payload.ExpressionPayload.getEvaluator
@@ -310,7 +310,7 @@ object ExpressionPayload {
               val conditionEvaluator = ExpressionCodeGen.doCodeGen(Seq(condition), conditionSerializer)
 
               val assignSqlType = SchemaConverters.toSqlType(writeSchema).dataType.asInstanceOf[StructType]
-              val assignSerializer = new AvroSerializer(assignSqlType, writeSchema, false)
+              val assignSerializer = new HoodieAvroSerializer(assignSqlType, writeSchema, false)
               val assignmentEvaluator = ExpressionCodeGen.doCodeGen(assignments, assignSerializer)
               conditionEvaluator -> assignmentEvaluator
           }

hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/command/payload/SqlTypedRecord.scala

@@ -19,7 +19,7 @@ package org.apache.spark.sql.hudi.command.payload
 
 import org.apache.avro.generic.IndexedRecord
 import org.apache.avro.Schema
-import org.apache.spark.sql.avro.{AvroDeserializer, SchemaConverters}
+import org.apache.spark.sql.avro.{HooodieAvroDeserializer, SchemaConverters}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.types._
 
@@ -29,8 +29,8 @@ import org.apache.spark.sql.types._
 class SqlTypedRecord(val record: IndexedRecord) extends IndexedRecord {
 
   private lazy val sqlType = SchemaConverters.toSqlType(getSchema).dataType.asInstanceOf[StructType]
-  private lazy val avroDeserializer = new AvroDeserializer(record.getSchema, sqlType)
+  private lazy val avroDeserializer = HooodieAvroDeserializer(record.getSchema, sqlType)
-  private lazy val sqlRow = avroDeserializer.deserialize(record).asInstanceOf[InternalRow]
+  private lazy val sqlRow = avroDeserializer.deserializeData(record).asInstanceOf[InternalRow]
 
   override def put(i: Int, v: Any): Unit = {
     record.put(i, v)

hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/parser/HoodieCommonSqlParser.scala

@@ -62,7 +62,7 @@ class HoodieCommonSqlParser(session: SparkSession, delegate: ParserInterface)
   }
 
   def parseMultipartIdentifier(sqlText: String): Seq[String] = {
-    throw new UnsupportedOperationException(s"Unsupported parseMultipartIdentifier method")
+    sparkAdapter.parseMultipartIdentifier(delegate, sqlText)
   }
 
   protected def parse[T](command: String)(toResult: HoodieSqlCommonParser => T): T = {

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/functional/TestDataSourceForBootstrap.scala

@@ -137,7 +137,8 @@ class TestDataSourceForBootstrap {
     verifyIncrementalViewResult(commitInstantTime1, commitInstantTime2, isPartitioned = false, isHiveStylePartitioned = false)
   }
 
-  @Test def testMetadataBootstrapCOWHiveStylePartitioned(): Unit = {
+  @Test
+  def testMetadataBootstrapCOWHiveStylePartitioned(): Unit = {
     val timestamp = Instant.now.toEpochMilli
     val jsc = JavaSparkContext.fromSparkContext(spark.sparkContext)
 

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestAlterTableDropPartition.scala

@@ -46,8 +46,8 @@ class TestAlterTableDropPartition extends TestHoodieSqlBase {
     // insert data
     spark.sql(s"""insert into $tableName values (1, "z3", "v1", "2021-10-01"), (2, "l4", "v1", "2021-10-02")""")
 
-    checkException(s"alter table $tableName drop partition (dt='2021-10-01')")(
+    checkExceptionContain(s"alter table $tableName drop partition (dt='2021-10-01')")(
-      s"dt is not a valid partition column in table `default`.`${tableName}`.;")
+      s"dt is not a valid partition column in table `default`.`$tableName`.")
   }
 
   Seq(false, true).foreach { urlencode =>
@@ -115,12 +115,8 @@ class TestAlterTableDropPartition extends TestHoodieSqlBase {
     spark.sql(s"""insert into $tableName values (1, "z3", "v1", "2021-10-01"), (2, "l4", "v1", "2021-10-02")""")
 
     // specify duplicate partition columns
-    try {
+    checkExceptionContain(s"alter table $tableName drop partition (dt='2021-10-01', dt='2021-10-02')")(
-      spark.sql(s"alter table $tableName drop partition (dt='2021-10-01', dt='2021-10-02')")
+      "Found duplicate keys 'dt'")
-    } catch {
-      case NonFatal(e) =>
-        assert(e.getMessage.contains("Found duplicate keys 'dt'"))
-    }
 
     // drop 2021-10-01 partition
     spark.sql(s"alter table $tableName drop partition (dt='2021-10-01')")
@@ -164,8 +160,8 @@ class TestAlterTableDropPartition extends TestHoodieSqlBase {
              |""".stripMargin)
 
         // not specified all partition column
-        checkException(s"alter table $tableName drop partition (year='2021', month='10')")(
+        checkExceptionContain(s"alter table $tableName drop partition (year='2021', month='10')")(
-          "All partition columns need to be specified for Hoodie's dropping partition;"
+          "All partition columns need to be specified for Hoodie's dropping partition"
         )
         // drop 2021-10-01 partition
         spark.sql(s"alter table $tableName drop partition (year='2021', month='10', day='01')")

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestHoodieSqlBase.scala

@@ -18,13 +18,15 @@
 package org.apache.spark.sql.hudi
 
 import java.io.File
-
 import org.apache.log4j.Level
+import org.apache.spark.sql.catalyst.util.DateTimeUtils
 import org.apache.spark.sql.{Row, SparkSession}
 import org.apache.spark.util.Utils
 import org.scalactic.source
 import org.scalatest.{BeforeAndAfterAll, FunSuite, Tag}
 
+import java.util.TimeZone
+
 class TestHoodieSqlBase extends FunSuite with BeforeAndAfterAll {
   org.apache.log4j.Logger.getRootLogger.setLevel(Level.WARN)
 
@@ -34,6 +36,7 @@ class TestHoodieSqlBase extends FunSuite with BeforeAndAfterAll {
     dir
   }
 
+  TimeZone.setDefault(DateTimeUtils.getTimeZone("CTT"))
   protected lazy val spark: SparkSession = SparkSession.builder()
     .master("local[1]")
     .appName("hoodie sql test")
@@ -43,6 +46,7 @@ class TestHoodieSqlBase extends FunSuite with BeforeAndAfterAll {
     .config("hoodie.upsert.shuffle.parallelism", "4")
     .config("hoodie.delete.shuffle.parallelism", "4")
     .config("spark.sql.warehouse.dir", sparkWareHouse.getCanonicalPath)
+    .config("spark.sql.session.timeZone", "CTT")
     .getOrCreate()
 
   private var tableId = 0
@@ -92,6 +96,19 @@ class TestHoodieSqlBase extends FunSuite with BeforeAndAfterAll {
     assertResult(true)(hasException)
   }
 
+  protected def checkExceptionContain(sql: String)(errorMsg: String): Unit = {
+    var hasException = false
+    try {
+      spark.sql(sql)
+    } catch {
+      case e: Throwable =>
+        assertResult(true)(e.getMessage.contains(errorMsg))
+        hasException = true
+    }
+    assertResult(true)(hasException)
+  }
+
+
   protected def removeQuotes(value: Any): Any = {
     value match {
       case s: String => s.stripPrefix("'").stripSuffix("'")

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestMergeIntoTable2.scala

@@ -353,19 +353,7 @@ class TestMergeIntoTable2 extends TestHoodieSqlBase {
            |""".stripMargin
 
       if (HoodieSqlUtils.isSpark3) {
-        checkException(mergeSql)(
+        checkExceptionContain(mergeSql)("Columns aliases are not allowed in MERGE")
-            "\nColumns aliases are not allowed in MERGE.(line 5, pos 5)\n\n" +
-            "== SQL ==\n\r\n" +
-            s" merge into $tableName\r\n" +
-            " using (\r\n" +
-            "  select 1, 'a1', 10, 1000, '1'\r\n" +
-            " ) s0(id,name,price,ts,flag)\r\n" +
-            "-----^^^\n" +
-            s" on s0.id = $tableName.id\r\n" +
-            " when matched and flag = '1' then update set\r\n" +
-            " id = s0.id, name = s0.name, price = s0.price, ts = s0.ts\r\n" +
-            " when not matched and flag = '1' then insert *\r\n"
-        )
       } else {
         spark.sql(mergeSql)
         checkAnswer(s"select id, name, price, ts from $tableName")(

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestPartialUpdateForMergeInto.scala

@@ -98,7 +98,7 @@ class TestPartialUpdateForMergeInto extends TestHoodieSqlBase {
          | preCombineField = '_ts'
          |)""".stripMargin)
 
-    checkException(
+    checkExceptionContain(
       s"""
          |merge into $tableName t0
          |using ( select 1 as id, 'a1' as name, 12 as price) s0
@@ -106,7 +106,7 @@ class TestPartialUpdateForMergeInto extends TestHoodieSqlBase {
          |when matched then update set price = s0.price
       """.stripMargin)(
       "Missing specify value for the preCombineField: _ts in merge-into update action. " +
-        "You should add '... update set _ts = xx....' to the when-matched clause.;")
+        "You should add '... update set _ts = xx....' to the when-matched clause.")
 
     val tableName2 = generateTableName
     spark.sql(
@@ -123,7 +123,7 @@ class TestPartialUpdateForMergeInto extends TestHoodieSqlBase {
          | preCombineField = '_ts'
          |)""".stripMargin)
 
-    checkException(
+    checkExceptionContain(
       s"""
          |merge into $tableName2 t0
          |using ( select 1 as id, 'a1' as name, 12 as price, 1000 as ts) s0
@@ -132,6 +132,6 @@ class TestPartialUpdateForMergeInto extends TestHoodieSqlBase {
         """.stripMargin)(
       "Missing specify the value for target field: 'id' in merge into update action for MOR table. " +
         "Currently we cannot support partial update for MOR, please complete all the target fields " +
-        "just like '...update set id = s0.id, name = s0.name ....';")
+        "just like '...update set id = s0.id, name = s0.name ....'")
   }
 }

hudi-spark-datasource/hudi-spark2/src/main/scala/org/apache/spark/sql/adapter/Spark2Adapter.scala

@@ -82,4 +82,8 @@ class Spark2Adapter extends SparkAdapter {
   override def createLike(left: Expression, right: Expression): Expression = {
     Like(left, right)
   }
+
+  override def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String] = {
+    throw new IllegalStateException(s"Should not call ParserInterface#parseMultipartIdentifier for spark2")
+  }
 }

hudi-spark-datasource/hudi-spark3/src/main/java/org/apache/hudi/spark3/internal/ReflectUtil.java

@@ -0,0 +1,46 @@
+/*
+ * 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.hudi.spark3.internal;
+
+import org.apache.spark.sql.catalyst.plans.logical.InsertIntoStatement;
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan;
+import scala.Option;
+import scala.collection.Seq;
+import scala.collection.immutable.Map;
+
+import java.lang.reflect.Constructor;
+
+public class ReflectUtil {
+
+  public static InsertIntoStatement createInsertInto(boolean isSpark30, LogicalPlan table, Map<String, Option<String>> partition, Seq<String> userSpecifiedCols,
+                                                     LogicalPlan query, boolean overwrite, boolean ifPartitionNotExists) {
+    try {
+      if (isSpark30) {
+        Constructor<InsertIntoStatement> constructor = InsertIntoStatement.class.getConstructor(
+                LogicalPlan.class, Map.class, LogicalPlan.class, boolean.class, boolean.class);
+        return constructor.newInstance(table, partition, query, overwrite, ifPartitionNotExists);
+      } else {
+        Constructor<InsertIntoStatement> constructor = InsertIntoStatement.class.getConstructor(
+                LogicalPlan.class, Map.class, Seq.class, LogicalPlan.class, boolean.class, boolean.class);
+        return constructor.newInstance(table, partition, userSpecifiedCols, query, overwrite, ifPartitionNotExists);
+      }
+    } catch (Exception e) {
+      throw new RuntimeException("Error in create InsertIntoStatement", e);
+    }
+  }
+}

hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/adapter/Spark3Adapter.scala

@@ -19,10 +19,13 @@ package org.apache.spark.sql.adapter
 
 import org.apache.hudi.Spark3RowSerDe
 import org.apache.hudi.client.utils.SparkRowSerDe
+import org.apache.hudi.spark3.internal.ReflectUtil
+import org.apache.spark.SPARK_VERSION
 import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
 import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
 import org.apache.spark.sql.catalyst.expressions.{Expression, Like}
+import org.apache.spark.sql.catalyst.parser.ParserInterface
 import org.apache.spark.sql.catalyst.plans.JoinType
 import org.apache.spark.sql.catalyst.plans.logical.{InsertIntoStatement, Join, JoinHint, LogicalPlan}
 import org.apache.spark.sql.catalyst.{AliasIdentifier, TableIdentifier}
@@ -67,15 +70,16 @@ class Spark3Adapter extends SparkAdapter {
   override def getInsertIntoChildren(plan: LogicalPlan):
     Option[(LogicalPlan, Map[String, Option[String]], LogicalPlan, Boolean, Boolean)] = {
     plan match {
-      case InsertIntoStatement(table, partitionSpec, query, overwrite, ifPartitionNotExists) =>
+      case insert: InsertIntoStatement =>
-        Some((table, partitionSpec, query, overwrite, ifPartitionNotExists))
+        Some((insert.table, insert.partitionSpec, insert.query, insert.overwrite, insert.ifPartitionNotExists))
-      case _=> None
+      case _ =>
+        None
     }
   }
 
   override def createInsertInto(table: LogicalPlan, partition: Map[String, Option[String]],
      query: LogicalPlan, overwrite: Boolean, ifPartitionNotExists: Boolean): LogicalPlan = {
-    InsertIntoStatement(table, partition, query, overwrite, ifPartitionNotExists)
+    ReflectUtil.createInsertInto(SPARK_VERSION.startsWith("3.0"), table, partition, Seq.empty[String], query, overwrite, ifPartitionNotExists)
   }
 
   override def createSparkParsePartitionUtil(conf: SQLConf): SparkParsePartitionUtil = {
@@ -85,4 +89,8 @@ class Spark3Adapter extends SparkAdapter {
   override def createLike(left: Expression, right: Expression): Expression = {
     new Like(left, right)
   }
+
+  override def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String] = {
+    parser.parseMultipartIdentifier(sqlText)
+  }
 }

hudi-spark-datasource/hudi-spark3/src/test/java/org/apache/hudi/spark3/internal/TestReflectUtil.java

@@ -0,0 +1,58 @@
+/*
+ * 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.hudi.spark3.internal;
+
+import org.apache.hudi.testutils.HoodieClientTestBase;
+
+import org.apache.spark.sql.SparkSession;
+import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation;
+import org.apache.spark.sql.catalyst.plans.logical.InsertIntoStatement;
+
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.Test;
+
+/**
+ * Unit tests {@link ReflectUtil}.
+ */
+public class TestReflectUtil extends HoodieClientTestBase {
+
+  @Test
+  public void testDataSourceWriterExtraCommitMetadata() throws Exception {
+    SparkSession spark = sqlContext.sparkSession();
+
+    String insertIntoSql = "insert into test_reflect_util values (1, 'z3', 1, '2021')";
+    InsertIntoStatement statement = (InsertIntoStatement) spark.sessionState().sqlParser().parsePlan(insertIntoSql);
+
+    InsertIntoStatement newStatment = ReflectUtil.createInsertInto(
+        spark.version().startsWith("3.0"),
+        statement.table(),
+        statement.partitionSpec(),
+        scala.collection.immutable.List.empty(),
+        statement.query(),
+        statement.overwrite(),
+        statement.ifPartitionNotExists());
+
+    Assertions.assertTrue(
+        ((UnresolvedRelation)newStatment.table()).multipartIdentifier().contains("test_reflect_util"));
+
+    if (!spark.version().startsWith("3.0")) {
+      Assertions.assertTrue(newStatment.userSpecifiedCols().isEmpty());
+    }
+  }
+}

hudi-sync/hudi-hive-sync/pom.xml

@@ -153,6 +153,12 @@
       <scope>test</scope>
     </dependency>
 
+    <dependency>
+      <groupId>org.apache.spark</groupId>
+      <artifactId>spark-core_${scala.binary.version}</artifactId>
+      <scope>test</scope>
+    </dependency>
+
     <!-- Needed for running HiveServer for Tests -->
     <dependency>
       <groupId>org.eclipse.jetty.aggregate</groupId>

hudi-sync/hudi-hive-sync/src/test/java/org/apache/hudi/hive/TestParquet2SparkSchemaUtils.java

@@ -36,7 +36,19 @@ import static org.junit.jupiter.api.Assertions.assertEquals;
 public class TestParquet2SparkSchemaUtils {
   private final SparkToParquetSchemaConverter spark2ParquetConverter =
           new SparkToParquetSchemaConverter(new SQLConf());
-  private final SparkSqlParser parser = new SparkSqlParser(new SQLConf());
+  private final SparkSqlParser parser = createSqlParser();
+
+  private static SparkSqlParser createSqlParser() {
+    try {
+      return SparkSqlParser.class.getDeclaredConstructor(SQLConf.class).newInstance(new SQLConf());
+    } catch (Exception ne) {
+      try { // For spark 3.1, there is no constructor with SQLConf, use the default constructor
+        return SparkSqlParser.class.getDeclaredConstructor().newInstance();
+      } catch (Exception e) {
+        throw new RuntimeException(e);
+      }
+    }
+  }
 
   @Test
   public void testConvertPrimitiveType() {

pom.xml

@@ -99,7 +99,7 @@
     <junit.platform.version>1.7.0-M1</junit.platform.version>
     <mockito.jupiter.version>3.3.3</mockito.jupiter.version>
     <log4j.version>1.2.17</log4j.version>
-    <slf4j.version>1.7.15</slf4j.version>
+    <slf4j.version>1.7.30</slf4j.version>
     <joda.version>2.9.9</joda.version>
     <hadoop.version>2.7.3</hadoop.version>
     <hive.groupid>org.apache.hive</hive.groupid>
@@ -114,7 +114,7 @@
     <sparkbundle.version>${spark2bundle.version}</sparkbundle.version>
     <flink.version>1.13.1</flink.version>
     <spark2.version>2.4.4</spark2.version>
-    <spark3.version>3.0.0</spark3.version>
+    <spark3.version>3.1.2</spark3.version>
     <spark2bundle.version></spark2bundle.version>
     <spark3bundle.version>3</spark3bundle.version>
     <hudi.spark.module>hudi-spark2</hudi.spark.module>
@@ -1472,6 +1472,7 @@
         <scala.version>${scala12.version}</scala.version>
         <scala.binary.version>2.12</scala.binary.version>
         <hudi.spark.module>hudi-spark3</hudi.spark.module>
+        <scalatest.version>3.1.0</scalatest.version>
         <kafka.version>2.4.1</kafka.version>
         <fasterxml.version>${fasterxml.spark3.version}</fasterxml.version>
         <fasterxml.jackson.databind.version>${fasterxml.spark3.version}</fasterxml.jackson.databind.version>
@@ -1487,6 +1488,16 @@
       </activation>
     </profile>
 
+    <profile>
+      <id>spark3.0.x</id>
+<!--      for spark 3.0.x we need override the follow propeprties to package and run test-->
+      <properties>
+        <spark3.version>3.0.0</spark3.version>
+        <spark.version>${spark3.version}</spark.version>
+        <scalatest.version>3.0.1</scalatest.version>
+      </properties>
+    </profile>
+
     <profile>
       <id>skipShadeSources</id>
       <properties>