lw309637554 commented on a change in pull request #2283:
URL: https://github.com/apache/hudi/pull/2283#discussion_r589520320



##########
File path: 
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/hudi/HoodieSparkSqlWriter.scala
##########
@@ -378,11 +389,75 @@ private[hudi] object HoodieSparkSqlWriter {
     hiveSyncConfig.autoCreateDatabase = 
parameters.get(HIVE_AUTO_CREATE_DATABASE_OPT_KEY).exists(r => r.toBoolean)
     hiveSyncConfig.decodePartition = 
parameters.getOrElse(URL_ENCODE_PARTITIONING_OPT_KEY,
       DEFAULT_URL_ENCODE_PARTITIONING_OPT_VAL).toBoolean
+    hiveSyncConfig.tableProperties = 
parameters.getOrElse(HIVE_TABLE_PROPERTIES, null)
+    hiveSyncConfig.serdeProperties = createSqlTableSerdeProperties(parameters, 
basePath.toString,
+      hiveSyncConfig.partitionFields.size())
     hiveSyncConfig
   }
 
-  private def metaSync(parameters: Map[String, String],
-                       basePath: Path,
+  /**
+    * Add Spark Sql related table properties to the HIVE_TABLE_PROPERTIES.
+    * @param sqlConf
+    * @param schema
+    * @param parameters
+    * @return A new parameters added the HIVE_TABLE_PROPERTIES property.
+    */
+  private def addSqlTableProperties(sqlConf: SQLConf, schema: StructType,
+                                    parameters: Map[String, String]): 
Map[String, String] = {
+    // Convert the schema and partition info used by spark sql to hive table 
properties.
+    // The following code refers to the spark code in
+    // 
https://github.com/apache/spark/blob/master/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala
+
+    val partitionSet = parameters(HIVE_PARTITION_FIELDS_OPT_KEY)
+      .split(",").map(_.trim).filter(!_.isEmpty).toSet
+    val threshold = sqlConf.getConf(SCHEMA_STRING_LENGTH_THRESHOLD)
+
+    val (partitionCols, dataCols) = schema.partition(c => 
partitionSet.contains(c.name))
+    val reOrderedType = StructType(dataCols ++ partitionCols)
+    val schemaParts = reOrderedType.json.grouped(threshold).toSeq
+
+    var properties = Map(
+      "spark.sql.sources.provider" -> "hudi",

Review comment:
       @pengzhiwei2018 hello, how spark sql judge to use datasource ? I see 
just set the table properties . But not the "ROW FORMAT SERDE "




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