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114
...di-spark/src/main/scala/org/apache/spark/sql/hudi/command/procedures/CopyToTempView.scala
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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. | ||
*/ | ||
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package org.apache.spark.sql.hudi.command.procedures | ||
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import org.apache.hudi.DataSourceReadOptions | ||
import org.apache.spark.internal.Logging | ||
import org.apache.spark.sql.Row | ||
import org.apache.spark.sql.types.{DataTypes, Metadata, StructField, StructType} | ||
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import java.util.function.Supplier | ||
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class CopyToTempView extends BaseProcedure with ProcedureBuilder with Logging { | ||
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private val PARAMETERS = Array[ProcedureParameter]( | ||
ProcedureParameter.required(0, "table", DataTypes.StringType, None), | ||
ProcedureParameter.optional(1, "query_type", DataTypes.StringType, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL), | ||
ProcedureParameter.required(2, "view_name", DataTypes.StringType, None), | ||
ProcedureParameter.optional(3, "begin_instance_time", DataTypes.StringType, ""), | ||
ProcedureParameter.optional(4, "end_instance_time", DataTypes.StringType, ""), | ||
ProcedureParameter.optional(5, "as_of_instant", DataTypes.StringType, ""), | ||
ProcedureParameter.optional(6, "replace", DataTypes.BooleanType, false), | ||
ProcedureParameter.optional(7, "global", DataTypes.BooleanType, false) | ||
) | ||
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private val OUTPUT_TYPE = new StructType(Array[StructField]( | ||
StructField("status", DataTypes.IntegerType, nullable = true, Metadata.empty)) | ||
) | ||
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def parameters: Array[ProcedureParameter] = PARAMETERS | ||
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def outputType: StructType = OUTPUT_TYPE | ||
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override def call(args: ProcedureArgs): Seq[Row] = { | ||
super.checkArgs(PARAMETERS, args) | ||
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val tableName = getArgValueOrDefault(args, PARAMETERS(0)) | ||
val queryType = getArgValueOrDefault(args, PARAMETERS(1)).get.asInstanceOf[String] | ||
val viewName = getArgValueOrDefault(args, PARAMETERS(2)).get.asInstanceOf[String] | ||
val beginInstance = getArgValueOrDefault(args, PARAMETERS(3)).get.asInstanceOf[String] | ||
val endInstance = getArgValueOrDefault(args, PARAMETERS(4)).get.asInstanceOf[String] | ||
val asOfInstant = getArgValueOrDefault(args, PARAMETERS(5)).get.asInstanceOf[String] | ||
val replace = getArgValueOrDefault(args, PARAMETERS(6)).get.asInstanceOf[Boolean] | ||
val global = getArgValueOrDefault(args, PARAMETERS(7)).get.asInstanceOf[Boolean] | ||
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val tablePath = getBasePath(tableName) | ||
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val sourceDataFrame = queryType match { | ||
case DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL => if (asOfInstant.nonEmpty) { | ||
sparkSession.read | ||
.format("org.apache.hudi") | ||
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL) | ||
.option(DataSourceReadOptions.TIME_TRAVEL_AS_OF_INSTANT.key, asOfInstant) | ||
.load(tablePath) | ||
} else { | ||
sparkSession.read | ||
.format("org.apache.hudi") | ||
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL) | ||
.load(tablePath) | ||
} | ||
case DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL => | ||
assert(beginInstance.nonEmpty && endInstance.nonEmpty, "when the query_type is incremental, begin_instance_time and end_instance_time can not be null.") | ||
sparkSession.read | ||
.format("org.apache.hudi") | ||
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL) | ||
.option(DataSourceReadOptions.BEGIN_INSTANTTIME.key, beginInstance) | ||
.option(DataSourceReadOptions.END_INSTANTTIME.key, endInstance) | ||
.load(tablePath) | ||
case DataSourceReadOptions.QUERY_TYPE_READ_OPTIMIZED_OPT_VAL => | ||
sparkSession.read | ||
.format("org.apache.hudi") | ||
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_READ_OPTIMIZED_OPT_VAL) | ||
.load(tablePath) | ||
} | ||
if (global) { | ||
if (replace) { | ||
sourceDataFrame.createOrReplaceGlobalTempView(viewName) | ||
} else { | ||
sourceDataFrame.createGlobalTempView(viewName) | ||
} | ||
} else { | ||
if (replace) { | ||
sourceDataFrame.createOrReplaceTempView(viewName) | ||
} else { | ||
sourceDataFrame.createTempView(viewName) | ||
} | ||
} | ||
Seq(Row(0)) | ||
} | ||
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override def build = new CopyToTempView() | ||
} | ||
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object CopyToTempView { | ||
val NAME = "copy_to_temp_view" | ||
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def builder: Supplier[ProcedureBuilder] = new Supplier[ProcedureBuilder] { | ||
override def get() = new CopyToTempView() | ||
} | ||
} |
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168
...park/src/test/scala/org/apache/spark/sql/hudi/procedure/TestCopyToTempViewProcedure.scala
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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. | ||
*/ | ||
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package org.apache.spark.sql.hudi.procedure | ||
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import org.apache.spark.sql.hudi.HoodieSparkSqlTestBase | ||
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class TestCopyToTempViewProcedure extends HoodieSparkSqlTestBase { | ||
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test("Test Call copy_to_temp_view Procedure with default params") { | ||
withTempDir { tmp => | ||
val tableName = generateTableName | ||
// create table | ||
spark.sql( | ||
s""" | ||
|create table $tableName ( | ||
| id int, | ||
| name string, | ||
| price double, | ||
| ts long | ||
|) using hudi | ||
| location '${tmp.getCanonicalPath}/$tableName' | ||
| tblproperties ( | ||
| primaryKey = 'id', | ||
| preCombineField = 'ts' | ||
| ) | ||
""".stripMargin) | ||
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// insert data to table | ||
spark.sql(s"insert into $tableName select 1, 'a1', 10, 1000") | ||
spark.sql(s"insert into $tableName select 2, 'a2', 20, 1500") | ||
spark.sql(s"insert into $tableName select 3, 'a3', 30, 2000") | ||
spark.sql(s"insert into $tableName select 4, 'a4', 40, 2500") | ||
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// Check required fields | ||
checkExceptionContain(s"call copy_to_temp_view(table=>'$tableName')")(s"Argument: view_name is required") | ||
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val viewName = generateTableName | ||
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val row = spark.sql(s"""call copy_to_temp_view(table=>'$tableName',view_name=>'$viewName')""").collectAsList() | ||
assert(row.size() == 1 && row.get(0).get(0) == 0) | ||
val copyTableCount = spark.sql(s"""select count(1) from $viewName""").collectAsList() | ||
assert(copyTableCount.size() == 1 && copyTableCount.get(0).get(0) == 4) | ||
} | ||
} | ||
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test("Test Call copy_to_temp_view Procedure with replace params") { | ||
withTempDir { tmp => | ||
val tableName = generateTableName | ||
// create table | ||
spark.sql( | ||
s""" | ||
|create table $tableName ( | ||
| id int, | ||
| name string, | ||
| price double, | ||
| ts long | ||
|) using hudi | ||
| location '${tmp.getCanonicalPath}/$tableName' | ||
| tblproperties ( | ||
| primaryKey = 'id', | ||
| preCombineField = 'ts' | ||
| ) | ||
""".stripMargin) | ||
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// insert data to table | ||
spark.sql(s"insert into $tableName select 1, 'a1', 10, 1000") | ||
spark.sql(s"insert into $tableName select 2, 'a2', 20, 1500") | ||
spark.sql(s"insert into $tableName select 3, 'a3', 30, 2000") | ||
spark.sql(s"insert into $tableName select 4, 'a4', 40, 2500") | ||
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// Check required fields | ||
checkExceptionContain(s"call copy_to_temp_view(table=>'$tableName')")(s"Argument: view_name is required") | ||
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// 1: copyToTempView | ||
val viewName = generateTableName | ||
val row = spark.sql(s"""call copy_to_temp_view(table=>'$tableName',view_name=>'$viewName')""").collectAsList() | ||
assert(row.size() == 1 && row.get(0).get(0) == 0) | ||
val copyTableCount = spark.sql(s"""select count(1) from $viewName""").collectAsList() | ||
assert(copyTableCount.size() == 1 && copyTableCount.get(0).get(0) == 4) | ||
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// 2: add new record to hudi table | ||
spark.sql(s"insert into $tableName select 5, 'a5', 40, 2500") | ||
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// 3: copyToTempView with replace=false | ||
checkExceptionContain(s"""call copy_to_temp_view(table=>'$tableName',view_name=>'$viewName',replace=>false)""")(s"Temporary view '$viewName' already exists") | ||
// 4: copyToTempView with replace=true | ||
val row2 = spark.sql(s"""call copy_to_temp_view(table=>'$tableName',view_name=>'$viewName',replace=>true)""").collectAsList() | ||
assert(row2.size() == 1 && row2.get(0).get(0) == 0) | ||
// 5: query new replace view ,count=5 | ||
val newViewCount = spark.sql(s"""select count(1) from $viewName""").collectAsList() | ||
assert(newViewCount.size() == 1 && newViewCount.get(0).get(0) == 5) | ||
} | ||
} | ||
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test("Test Call copy_to_temp_view Procedure with global params") { | ||
withTempDir { tmp => | ||
val tableName = generateTableName | ||
// create table | ||
spark.sql( | ||
s""" | ||
|create table $tableName ( | ||
| id int, | ||
| name string, | ||
| price double, | ||
| ts long | ||
|) using hudi | ||
| location '${tmp.getCanonicalPath}/$tableName' | ||
| tblproperties ( | ||
| primaryKey = 'id', | ||
| preCombineField = 'ts' | ||
| ) | ||
""".stripMargin) | ||
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// insert data to table | ||
spark.sql(s"insert into $tableName select 1, 'a1', 10, 1000") | ||
spark.sql(s"insert into $tableName select 2, 'a2', 20, 1500") | ||
spark.sql(s"insert into $tableName select 3, 'a3', 30, 2000") | ||
spark.sql(s"insert into $tableName select 4, 'a4', 40, 2500") | ||
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// Check required fields | ||
checkExceptionContain(s"call copy_to_temp_view(table=>'$tableName')")(s"Argument: view_name is required") | ||
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// 1: copyToTempView with global=false | ||
val viewName = generateTableName | ||
val row = spark.sql(s"""call copy_to_temp_view(table=>'$tableName',view_name=>'$viewName',global=>false)""").collectAsList() | ||
assert(row.size() == 1 && row.get(0).get(0) == 0) | ||
val copyTableCount = spark.sql(s"""select count(1) from $viewName""").collectAsList() | ||
assert(copyTableCount.size() == 1 && copyTableCount.get(0).get(0) == 4) | ||
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// 2: query view in other session | ||
var newSession = spark.newSession() | ||
var hasException = false | ||
val errorMsg = s"Table or view not found: $viewName" | ||
try { | ||
newSession.sql(s"""select count(1) from $viewName""") | ||
} catch { | ||
case e: Throwable if e.getMessage.contains(errorMsg) => hasException = true | ||
case f: Throwable => fail("Exception should contain: " + errorMsg + ", error message: " + f.getMessage, f) | ||
} | ||
assertResult(true)(hasException) | ||
// 3: copyToTempView with global=true, | ||
val row2 = spark.sql(s"""call copy_to_temp_view(table=>'$tableName',view_name=>'$viewName',global=>true,replace=>true)""").collectAsList() | ||
assert(row2.size() == 1 && row2.get(0).get(0) == 0) | ||
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newSession = spark.newSession() | ||
// 4: query view in other session | ||
val newViewCount = spark.sql(s"""select count(1) from $viewName""").collectAsList() | ||
assert(newViewCount.size() == 1 && newViewCount.get(0).get(0) == 4) | ||
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} | ||
} | ||
} |