[HUDI-1659] Basic Implement Of Spark Sql Support For Hoodie (#2645)

Main functions:
Support create table for hoodie.
Support CTAS.
Support Insert for hoodie. Including dynamic partition and static partition insert.
Support MergeInto for hoodie.
Support DELETE
Support UPDATE
Both support spark2 & spark3 based on DataSourceV1.

Main changes:
Add sql parser for spark2.
Add HoodieAnalysis for sql resolve and logical plan rewrite.
Add commands implementation for CREATE TABLE、INSERT、MERGE INTO & CTAS.
In order to push down the update&insert logical to the HoodieRecordPayload for MergeInto, I make same change to the
HoodieWriteHandler and other related classes.
1、Add the inputSchema for parser the incoming record. This is because the inputSchema for MergeInto is different from writeSchema as there are some transforms in the update& insert expression.
2、Add WRITE_SCHEMA to HoodieWriteConfig to pass the write schema for merge into.
3、Pass properties to HoodieRecordPayload#getInsertValue to pass the insert expression and table schema.


Verify this pull request
Add TestCreateTable for test create hoodie tables and CTAS.
Add TestInsertTable for test insert hoodie tables.
Add TestMergeIntoTable for test merge hoodie tables.
Add TestUpdateTable for test update hoodie tables.
Add TestDeleteTable for test delete hoodie tables.
Add TestSqlStatement for test supported ddl/dml currently.

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

@@ -0,0 +1,88 @@
+/*
+ * 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.adapter
+
+import org.apache.hudi.Spark3RowSerDe
+import org.apache.hudi.client.utils.SparkRowSerDe
+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.plans.JoinType
+import org.apache.spark.sql.catalyst.plans.logical.{InsertIntoStatement, Join, JoinHint, LogicalPlan}
+import org.apache.spark.sql.catalyst.{AliasIdentifier, TableIdentifier}
+import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
+import org.apache.spark.sql.execution.datasources.{Spark3ParsePartitionUtil, SparkParsePartitionUtil}
+import org.apache.spark.sql.hudi.SparkAdapter
+import org.apache.spark.sql.internal.SQLConf
+
+/**
+ * A sql adapter for spark3.
+ */
+class Spark3Adapter extends SparkAdapter {
+
+  override def createSparkRowSerDe(encoder: ExpressionEncoder[Row]): SparkRowSerDe = {
+    new Spark3RowSerDe(encoder)
+  }
+
+  override def toTableIdentify(aliasId: AliasIdentifier): TableIdentifier = {
+    aliasId match {
+      case AliasIdentifier(name, Seq(database)) =>
+         TableIdentifier(name, Some(database))
+      case AliasIdentifier(name, Seq(_, database)) =>
+        TableIdentifier(name, Some(database))
+      case AliasIdentifier(name, Seq()) =>
+        TableIdentifier(name, None)
+      case _=> throw new IllegalArgumentException(s"Cannot cast $aliasId to TableIdentifier")
+    }
+  }
+
+  override def toTableIdentify(relation: UnresolvedRelation): TableIdentifier = {
+    relation.multipartIdentifier.asTableIdentifier
+  }
+
+  override def createJoin(left: LogicalPlan, right: LogicalPlan, joinType: JoinType): Join = {
+    Join(left, right, joinType, None, JoinHint.NONE)
+  }
+
+  override def isInsertInto(plan: LogicalPlan): Boolean = {
+    plan.isInstanceOf[InsertIntoStatement]
+  }
+
+  override def getInsertIntoChildren(plan: LogicalPlan):
+    Option[(LogicalPlan, Map[String, Option[String]], LogicalPlan, Boolean, Boolean)] = {
+    plan match {
+      case InsertIntoStatement(table, partitionSpec, query, overwrite, ifPartitionNotExists) =>
+        Some((table, partitionSpec, query, overwrite, ifPartitionNotExists))
+      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)
+  }
+
+  override def createSparkParsePartitionUtil(conf: SQLConf): SparkParsePartitionUtil = {
+    new Spark3ParsePartitionUtil(conf)
+  }
+
+  override def createLike(left: Expression, right: Expression): Expression = {
+    new Like(left, right)
+  }
+}