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/*
* 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.hive
import java.io.File
import org.apache.spark.sql.{QueryTest, Row, SaveMode}
import org.apache.spark.sql.catalyst.TableIdentifier
import org.apache.spark.sql.catalyst.catalog.CatalogTableType
import org.apache.spark.sql.hive.test.TestHiveSingleton
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.test.{ExamplePointUDT, SQLTestUtils}
import org.apache.spark.sql.types.{DecimalType, StringType, StructType}
class HiveMetastoreCatalogSuite extends TestHiveSingleton {
import hiveContext.implicits._
test("struct field should accept underscore in sub-column name") {
val hiveTypeStr = "struct<a: int, b_1: string, c: string>"
val dateType = HiveMetastoreTypes.toDataType(hiveTypeStr)
assert(dateType.isInstanceOf[StructType])
}
test("udt to metastore type conversion") {
val udt = new ExamplePointUDT
assertResult(HiveMetastoreTypes.toMetastoreType(udt.sqlType)) {
HiveMetastoreTypes.toMetastoreType(udt)
}
}
test("duplicated metastore relations") {
val df = hiveContext.sql("SELECT * FROM src")
logInfo(df.queryExecution.toString)
df.as('a).join(df.as('b), $"a.key" === $"b.key")
}
}
class DataSourceWithHiveMetastoreCatalogSuite
extends QueryTest with SQLTestUtils with TestHiveSingleton {
import hiveContext._
import testImplicits._
private val testDF = range(1, 3).select(
('id + 0.1) cast DecimalType(10, 3) as 'd1,
'id cast StringType as 'd2
).coalesce(1)
Seq(
"parquet" -> (
"org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat",
"org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat",
"org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe"
),
"orc" -> (
"org.apache.hadoop.hive.ql.io.orc.OrcInputFormat",
"org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat",
"org.apache.hadoop.hive.ql.io.orc.OrcSerde"
)
).foreach { case (provider, (inputFormat, outputFormat, serde)) =>
test(s"Persist non-partitioned $provider relation into metastore as managed table") {
withTable("t") {
withSQLConf(SQLConf.PARQUET_WRITE_LEGACY_FORMAT.key -> "true") {
testDF
.write
.mode(SaveMode.Overwrite)
.format(provider)
.saveAsTable("t")
}
val hiveTable = sessionState.catalog.getTableMetadata(TableIdentifier("t", Some("default")))
assert(hiveTable.storage.inputFormat === Some(inputFormat))
assert(hiveTable.storage.outputFormat === Some(outputFormat))
assert(hiveTable.storage.serde === Some(serde))
assert(hiveTable.partitionColumnNames.isEmpty)
assert(hiveTable.tableType === CatalogTableType.MANAGED_TABLE)
val columns = hiveTable.schema
assert(columns.map(_.name) === Seq("d1", "d2"))
assert(columns.map(_.dataType) === Seq("decimal(10,3)", "string"))
checkAnswer(table("t"), testDF)
assert(runSqlHive("SELECT * FROM t") === Seq("1.1\t1", "2.1\t2"))
}
}
test(s"Persist non-partitioned $provider relation into metastore as external table") {
withTempPath { dir =>
withTable("t") {
val path = dir.getCanonicalFile
withSQLConf(SQLConf.PARQUET_WRITE_LEGACY_FORMAT.key -> "true") {
testDF
.write
.mode(SaveMode.Overwrite)
.format(provider)
.option("path", path.toString)
.saveAsTable("t")
}
val hiveTable =
sessionState.catalog.getTableMetadata(TableIdentifier("t", Some("default")))
assert(hiveTable.storage.inputFormat === Some(inputFormat))
assert(hiveTable.storage.outputFormat === Some(outputFormat))
assert(hiveTable.storage.serde === Some(serde))
assert(hiveTable.tableType === CatalogTableType.EXTERNAL_TABLE)
assert(hiveTable.storage.locationUri ===
Some(path.toURI.toString.stripSuffix(File.separator)))
val columns = hiveTable.schema
assert(columns.map(_.name) === Seq("d1", "d2"))
assert(columns.map(_.dataType) === Seq("decimal(10,3)", "string"))
checkAnswer(table("t"), testDF)
assert(runSqlHive("SELECT * FROM t") === Seq("1.1\t1", "2.1\t2"))
}
}
}
test(s"Persist non-partitioned $provider relation into metastore as managed table using CTAS") {
withTempPath { dir =>
withTable("t") {
val path = dir.getCanonicalPath
sql(
s"""CREATE TABLE t USING $provider
|OPTIONS (path '$path')
|AS SELECT 1 AS d1, "val_1" AS d2
""".stripMargin)
val hiveTable =
sessionState.catalog.getTableMetadata(TableIdentifier("t", Some("default")))
assert(hiveTable.storage.inputFormat === Some(inputFormat))
assert(hiveTable.storage.outputFormat === Some(outputFormat))
assert(hiveTable.storage.serde === Some(serde))
assert(hiveTable.partitionColumnNames.isEmpty)
assert(hiveTable.tableType === CatalogTableType.EXTERNAL_TABLE)
val columns = hiveTable.schema
assert(columns.map(_.name) === Seq("d1", "d2"))
assert(columns.map(_.dataType) === Seq("int", "string"))
checkAnswer(table("t"), Row(1, "val_1"))
assert(runSqlHive("SELECT * FROM t") === Seq("1\tval_1"))
}
}
}
}
}
|
