dejankrak-db commented on code in PR #59640:
URL: https://github.com/apache/spark/pull/59640#discussion_r4382942184
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala:
##########
@@ -998,6 +1021,25 @@ trait CheckAnalysis extends LookupCatalog with
QueryErrorsBase with PlanToString
create.tableSchema.foreach(f =>
TypeUtils.failWithIntervalType(f.dataType))
TypeUtils.failUnsupportedDataType(create.tableSchema, SQLConf.get)
SchemaUtils.checkIndeterminateCollationInSchema(create.tableSchema)
+ create match {
+ // The columns of CREATE TABLE AS SELECT come from its query,
not from DDL.
+ case ctas: V2CreateTableAsSelectPlan =>
+ TypeUtils.checkNoUnknownFileTypeWrite(ctas.query.output)
Review Comment:
Thanks. The nested add and the `FILE EXTERNAL` positive control are in
7ce087d5061; details in the test thread.
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/rules.scala:
##########
@@ -293,6 +295,8 @@ case class PreprocessTableCreation(catalog: SessionCatalog)
extends Rule[Logical
c.copy(tableDesc = normalizedTable, query = Some(reorderedQuery))
} else {
+ checkFileTypeHasQualifier(tableDesc.schema)
Review Comment:
Will do. The follow-ups are now listed in the description, with pipelines
and `ACCEPT_ANY_SCHEMA` writes marked as blockers for enabling
`spark.sql.fileType.enabled` by default, and I will link the JIRA once it is
filed.
##########
sql/core/src/test/scala/org/apache/spark/sql/FileTypeRestrictionsSuite.scala:
##########
@@ -0,0 +1,357 @@
+/*
+ * 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
+
+import org.apache.spark.SparkConf
+import org.apache.spark.api.python.{PythonBroadcast, PythonEvalType,
SimplePythonFunction}
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.sql.api.java.UDF1
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.catalyst.catalog.{CatalogStorageFormat,
CatalogTable, CatalogTableType}
+import org.apache.spark.sql.connector.catalog.InMemoryCatalog
+import org.apache.spark.sql.execution.python.{UserDefinedPythonFunction,
UserDefinedPythonTableFunction}
+import org.apache.spark.sql.functions.{col, udf}
+import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.types.{DataType, FileType, IntegerType, MapType,
StructType}
+
+/**
+ * Tests the rules on where the FILE type can be used: table columns must be
FILE EXTERNAL,
+ * routines declare a plain FILE, and FILE has no defined ordering.
+ */
+class FileTypeRestrictionsSuite extends QueryTest with SharedSparkSession {
+
+ override protected def sparkConf: SparkConf =
+ super.sparkConf.set("spark.sql.catalog.testcat",
classOf[InMemoryCatalog].getName)
+
+ // A FILE without a qualifier, at the top level and nested.
+ private val unqualifiedFileTypes = Seq(
+ "FILE",
+ "ARRAY<FILE>",
+ "MAP<STRING, FILE>",
+ "STRUCT<f1: FILE>",
+ "STRUCT<f1: INT, f2: STRUCT<f3: ARRAY<FILE>>>")
+
+ private val externalFile = "SELECT CAST(NULL AS FILE EXTERNAL) AS f"
+
+ test("a table column definition requires FILE EXTERNAL") {
+ Seq("testcat.t", "t").foreach { table =>
+ val provider = if (table.startsWith("testcat")) "" else "USING parquet"
+ unqualifiedFileTypes.foreach { dataType =>
+ withTable(table) {
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql(s"CREATE TABLE $table (id INT, c $dataType) $provider")
+ },
+ condition = "FILE_TYPE_MISSING_QUALIFIER")
+ }
+ }
+ }
+ withTable("testcat.t") {
+ sql("CREATE TABLE testcat.t (id INT, c STRUCT<f1: ARRAY<FILE
EXTERNAL>>)")
+ }
+ }
+
+ test("REPLACE TABLE requires FILE EXTERNAL") {
+ withTable("testcat.t") {
+ sql("CREATE TABLE testcat.t (id INT)")
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql("REPLACE TABLE testcat.t (id INT, c FILE)")
+ },
+ condition = "FILE_TYPE_MISSING_QUALIFIER")
+ }
+ }
+
+ test("ALTER TABLE ADD COLUMNS and REPLACE COLUMNS require FILE EXTERNAL") {
+ withTable("testcat.t") {
+ sql("CREATE TABLE testcat.t (id INT)")
+ unqualifiedFileTypes.foreach { dataType =>
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql(s"ALTER TABLE testcat.t ADD COLUMN c $dataType")
+ },
+ condition = "FILE_TYPE_MISSING_QUALIFIER")
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql(s"ALTER TABLE testcat.t REPLACE COLUMNS (id INT, c $dataType)")
+ },
+ condition = "FILE_TYPE_MISSING_QUALIFIER")
+ }
+ sql("ALTER TABLE testcat.t ADD COLUMN c FILE EXTERNAL")
+ }
+ }
+
+ test("CREATE TABLE AS SELECT cannot store a FILE without a qualifier") {
+ Seq("testcat.t", "t").foreach { table =>
+ val provider = if (table.startsWith("testcat")) "" else "USING parquet"
+ withTable(table) {
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql(s"CREATE TABLE $table $provider AS SELECT 1 AS id, CAST(NULL
AS FILE) AS f")
+ },
+ condition = "FILE_TYPE_UNKNOWN_WRITE",
+ parameters = Map("colNames" -> "[`f`]"))
+ }
+ }
+ }
+
+ test("a FILE column cannot be a partition or clustering column") {
+ Seq(
+ ("PARTITIONED BY (f)", "PARTITION_COLUMN"),
+ ("PARTITIONED BY (bucket(4, f))", "PARTITION_COLUMN"),
+ ("CLUSTER BY (f)", "CLUSTERING_COLUMN")).foreach { case (clause, usage)
=>
+ Seq("testcat.t", "t").foreach { table =>
+ // Bucketing is only a V2 transform.
+ if (table.startsWith("testcat") || !clause.contains("bucket")) {
+ val provider = if (table.startsWith("testcat")) "" else "USING
parquet"
+ withTable(table) {
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql(s"CREATE TABLE $table (id INT, f FILE EXTERNAL) $provider
$clause")
+ },
+ condition = s"FILE_TYPE_UNSUPPORTED_COLUMN_USAGE.$usage",
+ parameters = Map("colName" -> "`f`", "dataType" -> "\"FILE
EXTERNAL\""))
+ }
+ }
+ }
+ }
+ Seq("testcat.t", "t").foreach { table =>
+ withTable(table) {
+ if (table.startsWith("testcat")) {
+ sql(s"CREATE TABLE $table (id INT, f FILE EXTERNAL) CLUSTER BY (id)")
+ } else {
+ // No V1 data source can store a FILE yet, so the table is created
in the catalog.
+ spark.sessionState.catalog.createTable(CatalogTable(
+ identifier = TableIdentifier(table),
+ tableType = CatalogTableType.MANAGED,
+ storage = CatalogStorageFormat.empty,
+ schema = new StructType().add("id", IntegerType).add("f",
FileType.external),
+ provider = Some("parquet")), ignoreIfExists = false)
+ }
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql(s"ALTER TABLE $table CLUSTER BY (f)")
+ },
+ condition = "FILE_TYPE_UNSUPPORTED_COLUMN_USAGE.CLUSTERING_COLUMN",
+ parameters = Map("colName" -> "`f`", "dataType" -> "\"FILE
EXTERNAL\""))
+ }
+ }
+ }
+
+ test("a column cannot be altered to a FILE") {
+ withTable("testcat.t") {
+ sql("CREATE TABLE testcat.t (id INT, s STRING, f FILE EXTERNAL)")
+ Seq("s", "f").foreach { column =>
+ val e = intercept[AnalysisException] {
+ sql(s"ALTER TABLE testcat.t ALTER COLUMN $column TYPE FILE")
+ }
+ assert(e.getCondition === "NOT_SUPPORTED_CHANGE_COLUMN")
+ }
+ }
+ }
+
+ test("a FILE cannot be a map key") {
+ checkError(
+ exception = intercept[AnalysisException] {
+ sql(s"SELECT map(f, 1) FROM ($externalFile)")
+ },
+ condition = "DATATYPE_MISMATCH.INVALID_MAP_KEY_TYPE",
+ parameters = Map("sqlExpr" -> "\"map(f, 1)\"", "keyType" -> "\"FILE
EXTERNAL\""),
+ context = ExpectedContext(fragment = "map(f, 1)", start = 7, stop = 15))
+ sql(s"SELECT map(1, f) FROM ($externalFile)")
+ }
+
+ test("a FILE cannot be a grouping expression") {
+ val query = s"SELECT count(*) FROM ($externalFile) GROUP BY f"
+ checkError(
+ exception = intercept[AnalysisException](sql(query)),
+ condition = "GROUP_EXPRESSION_TYPE_IS_NOT_ORDERABLE",
+ parameters = Map("sqlExpr" -> "\"f\"", "dataType" -> "\"FILE
EXTERNAL\""),
+ context = ExpectedContext(
+ fragment = "f", start = query.length - 1, stop = query.length - 1))
+ }
+
+ test("a FILE cannot be in INTERSECT, EXCEPT or DISTINCT") {
Review Comment:
Both are fixed in 7ce087d5061: the guard is gone, so the V1 `PARTITIONED BY`
and `CLUSTER BY` cases run for `CREATE TABLE` and CTAS, and the query-time
Python UDF and the UDAF class registered by name are tested.
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