Github user xwu0226 commented on a diff in the pull request: https://github.com/apache/spark/pull/16626#discussion_r107053921 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/execution/command/DDLSuite.scala --- @@ -2178,4 +2178,138 @@ abstract class DDLSuite extends QueryTest with SQLTestUtils { } } } + + val supportedNativeFileFormatsForAlterTableAddColumns = Seq("parquet", "json", "csv") + + supportedNativeFileFormatsForAlterTableAddColumns.foreach { provider => + test(s"alter datasource table add columns - $provider") { + withTable("t1") { + sql(s"CREATE TABLE t1 (c1 int) USING $provider") + sql("INSERT INTO t1 VALUES (1)") + sql("ALTER TABLE t1 ADD COLUMNS (c2 int)") + checkAnswer( + spark.table("t1"), + Seq(Row(1, null)) + ) + checkAnswer( + sql("SELECT * FROM t1 WHERE c2 is null"), + Seq(Row(1, null)) + ) + + sql("INSERT INTO t1 VALUES (3, 2)") + checkAnswer( + sql("SELECT * FROM t1 WHERE c2 = 2"), + Seq(Row(3, 2)) + ) + } + } + } + + supportedNativeFileFormatsForAlterTableAddColumns.foreach { provider => + test(s"alter datasource table add columns - partitioned - $provider") { + withTable("t1") { + sql(s"CREATE TABLE t1 (c1 int, c2 int) USING $provider PARTITIONED BY (c2)") + sql("INSERT INTO t1 PARTITION(c2 = 2) VALUES (1)") + sql("ALTER TABLE t1 ADD COLUMNS (c3 int)") + checkAnswer( + spark.table("t1"), + Seq(Row(1, null, 2)) + ) + checkAnswer( + sql("SELECT * FROM t1 WHERE c3 is null"), + Seq(Row(1, null, 2)) + ) + sql("INSERT INTO t1 PARTITION(c2 =1) VALUES (2, 3)") + checkAnswer( + sql("SELECT * FROM t1 WHERE c3 = 3"), + Seq(Row(2, 3, 1)) + ) + checkAnswer( + sql("SELECT * FROM t1 WHERE c2 = 1"), + Seq(Row(2, 3, 1)) + ) + } + } + } + + test("alter datasource table add columns - text format not supported") { + withTable("t1") { + sql("CREATE TABLE t1 (c1 int) USING text") + val e = intercept[AnalysisException] { + sql("ALTER TABLE t1 ADD COLUMNS (c2 int)") + }.getMessage + assert(e.contains("ALTER ADD COLUMNS does not support datasource table with type")) + } + } + + test("alter table add columns -- not support temp view") { + withTempView("tmp_v") { + sql("CREATE TEMPORARY VIEW tmp_v AS SELECT 1 AS c1, 2 AS c2") + val e = intercept[AnalysisException] { + sql("ALTER TABLE tmp_v ADD COLUMNS (c3 INT)") + } + assert(e.message.contains("ALTER ADD COLUMNS does not support views")) + } + } + + test("alter table add columns -- not support view") { + withView("v1") { + sql("CREATE VIEW v1 AS SELECT 1 AS c1, 2 AS c2") + val e = intercept[AnalysisException] { + sql("ALTER TABLE v1 ADD COLUMNS (c3 INT)") + } + assert(e.message.contains("ALTER ADD COLUMNS does not support views")) + } + } + + test("alter table add columns with existing column name") { + withTable("t1") { + sql("CREATE TABLE t1 (c1 int) USING PARQUET") + val e = intercept[AnalysisException] { + sql("ALTER TABLE t1 ADD COLUMNS (c1 string)") + }.getMessage + assert(e.contains("Found duplicate column(s)")) + } + } + + test("alter table add columns to table referenced by a view") { + withTable("t1") { + withView("v1") { + sql("CREATE TABLE t1 (c1 int, c2 int) USING PARQUET") + sql("CREATE VIEW v1 AS SELECT * FROM t1") + val originViewSchema = sql("SELECT * FROM v1").schema + sql("ALTER TABLE t1 ADD COLUMNS (c3 int)") + assert(sql("SELECT * FROM v1").schema == originViewSchema) + } + } + } + + Seq("true", "false").foreach { caseSensitive => + test(s"alter table add columns with existing column name - caseSensitive $caseSensitive") { + withSQLConf(SQLConf.CASE_SENSITIVE.key -> caseSensitive) { + withTable("t1") { + sql("CREATE TABLE t1 (c1 int) USING PARQUET") + if (caseSensitive == "false") { + val e = intercept[AnalysisException] { + sql("ALTER TABLE t1 ADD COLUMNS (C1 string)") + }.getMessage + assert(e.contains("Found duplicate column(s)")) + } else { + if (isUsingHiveMetastore) { + // hive catalog will still complains that c1 is duplicate column name because hive + // identifiers are case insensitive. --- End diff -- @cloud-fan I just tested the data source table, like `create table t1 (c1 int, C1 int) using parquet` with `spark.sql.caseSensitive = true`, spark sql does not complain.. it just bounce back the exception from hive, but logged as WARN message. And the table was created successfully and I am able to insert and select. But if i create a hive serde table with `create table t2 (c1 int, C1 int) stored as parquet`, hive will complain and fail to create the table. So for the data source case, should we fix anything regarding the WARN message? Thanks!
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