Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18849#discussion_r131750071
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala ---
@@ -611,21 +640,39 @@ private[spark] class HiveExternalCatalog(conf:
SparkConf, hadoopConf: Configurat
override def alterTableSchema(db: String, table: String, schema:
StructType): Unit = withClient {
requireTableExists(db, table)
val rawTable = getRawTable(db, table)
- val withNewSchema = rawTable.copy(schema = schema)
- verifyColumnNames(withNewSchema)
// Add table metadata such as table schema, partition columns, etc. to
table properties.
- val updatedTable = withNewSchema.copy(
- properties = withNewSchema.properties ++
tableMetaToTableProps(withNewSchema))
- try {
- client.alterTable(updatedTable)
- } catch {
- case NonFatal(e) =>
- val warningMessage =
- s"Could not alter schema of table
${rawTable.identifier.quotedString} in a Hive " +
- "compatible way. Updating Hive metastore in Spark SQL specific
format."
- logWarning(warningMessage, e)
- client.alterTable(updatedTable.copy(schema =
updatedTable.partitionSchema))
+ val updatedProperties = rawTable.properties ++
tableMetaToTableProps(rawTable, schema)
+
+ // Detect whether this is a Hive-compatible table.
+ val provider = rawTable.properties.get(DATASOURCE_PROVIDER)
+ val isHiveCompatible = if (provider.isDefined && provider !=
Some(DDLUtils.HIVE_PROVIDER)) {
--- End diff --
I also checked 2.0 and 1.6 and both seem to do the same thing (both set the
provider, and both use a different serde for non-compatible tables), so the
check should work for those versions too.
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