[GitHub] [hudi] YannByron commented on a change in pull request #3998: [HUDI-2759] extract HoodieCatalogTable as a bridge between spark cata…

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YannByron commented on a change in pull request #3998:
URL: https://github.com/apache/hudi/pull/3998#discussion_r753751992



##########
File path: hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/catalyst/catalog/HoodieCatalogTable.scala
##########
@@ -0,0 +1,291 @@
+/*
+ * 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.catalyst.catalog
+
+import org.apache.hudi.HoodieWriterUtils.{convertMapToHoodieConfig, validateTableConfig}
+import org.apache.hudi.common.model.{HoodieCommitMetadata, HoodieTableType}
+import org.apache.hudi.common.table.HoodieTableConfig
+import org.apache.hudi.common.table.HoodieTableMetaClient
+import org.apache.hudi.keygen.ComplexKeyGenerator
+import org.apache.hudi.keygen.factory.HoodieSparkKeyGeneratorFactory
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.{AnalysisException, SparkSession}
+import org.apache.spark.sql.avro.SchemaConverters
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.hudi.{HoodieOptionConfig, HoodieSqlUtils}
+import org.apache.spark.sql.hudi.HoodieSqlUtils._
+import org.apache.spark.sql.types.{StructField, StructType}
+
+import java.util.{Locale, Properties}
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+
+/**
+ * A wrapper of hoodie CatalogTable instance and hoodie Table.
+ */
+class HoodieCatalogTable(val spark: SparkSession, val table: CatalogTable) extends Logging {
+
+  assert(table.provider.map(_.toLowerCase(Locale.ROOT)).orNull == "hudi", "It's not a Hudi table")
+
+  private val hadoopConf = spark.sessionState.newHadoopConf
+
+  /**
+   * properties defined in catalog.
+   */
+  val catalogProperties: Map[String, String] = table.storage.properties ++ table.properties
+
+  /**
+   * hoodie table's location.
+   * if create managed hoodie table, use `catalog.defaultTablePath`.
+   */
+  val tableLocation: String = HoodieSqlUtils.getTableLocation(table, spark)
+
+  /**
+   * A flag to whether the hoodie table exists.
+   */
+  val hoodieTableExists: Boolean = tableExistsInPath(tableLocation, hadoopConf)
+
+  /**
+   * Meta Client.
+   */
+  lazy val metaClient: HoodieTableMetaClient = HoodieTableMetaClient.builder()
+    .setBasePath(tableLocation)
+    .setConf(hadoopConf)
+    .build()
+
+  /**
+   * Hoodie Table Config
+   */
+  lazy val tableConfig: HoodieTableConfig = metaClient.getTableConfig
+
+  /**
+   * the name of table
+   */
+  lazy val tableName: String = tableConfig.getTableName
+
+  /**
+   * The name of type of table
+   */
+  lazy val tableType: HoodieTableType = tableConfig.getTableType
+
+  /**
+   * The type of table
+   */
+  lazy val tableTypeName: String = tableType.name()
+
+  /**
+   * Recored Field List(Primary Key List)
+   */
+  lazy val primaryKeys: Array[String] = tableConfig.getRecordKeyFields.orElse(Array.empty)
+
+  /**
+   * PreCombine Field
+   */
+  lazy val preCombineKey: Option[String] = Option(tableConfig.getPreCombineField)
+
+  /**
+   * Paritition Fields
+   */
+  lazy val partitionFields: Array[String] = tableConfig.getPartitionFields.orElse(Array.empty)
+
+  /**
+   * The schema of table.
+   * Make StructField nullable.
+   */
+  lazy val tableSchema: StructType = {
+    val originSchema = getTableSqlSchema(metaClient, includeMetadataFields = true).get
+    StructType(originSchema.map(_.copy(nullable = true)))
+  }
+
+  /**
+   * The schema without hoodie meta fields
+   */
+  lazy val tableSchemaWithoutMetaFields: StructType = HoodieSqlUtils.removeMetaFields(tableSchema)
+
+  /**
+   * The schema of data fields
+   */
+  lazy val dataSchema: StructType = {
+    StructType(tableSchema.filterNot(f => partitionFields.contains(f.name)))
+  }

Review comment:
       if `hoodie.datasource.write.drop.partition.columns` is false, tableSchema doesn't contains partition columns. And dataSchema generated by the codes above will be same with tableSchema. So, i think there is not necessary to change. 




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