-
Notifications
You must be signed in to change notification settings - Fork 703
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[CARBONDATA-4065] Support MERGE INTO SQL Command
Why is this PR needed? In order to support MERGE INTO SQL Command in Carbondata The previous Scala Parser having trouble to parse the complicated Merge Into SQL Command What changes were proposed in this PR? Add an ANTLR parser, and support parse MERGE INTO SQL Command to DataSet Command Does this PR introduce any user interface change? Yes. The PR introduces the MERGE INTO SQL Command. Is any new testcase added? Yes This closes #4032 Co-authored-by: Zhangshunyu <[email protected]>
- Loading branch information
Showing
19 changed files
with
1,997 additions
and
35 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
164 changes: 164 additions & 0 deletions
164
examples/spark/src/main/scala/org/apache/carbondata/examples/DataMergeIntoExample.scala
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,164 @@ | ||
| /* | ||
| * 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.carbondata.examples | ||
|
|
||
| import org.apache.spark.sql.SparkSession | ||
|
|
||
| import org.apache.carbondata.examples.util.ExampleUtils | ||
|
|
||
| object DataMergeIntoExample { | ||
|
|
||
| def main(args: Array[String]) { | ||
| val spark = ExampleUtils.createSparkSession("DataManagementExample") | ||
| deleteExampleBody(spark) | ||
| deleteWithExpressionExample(spark) | ||
| updateExampleBody(spark) | ||
| updateWithExpressionExample(spark) | ||
| updateSpecificColWithExpressionExample(spark) | ||
| insertExampleBody(spark) | ||
| insertWithExpressionExample(spark) | ||
| insertSpecificColWithExpressionExample(spark) | ||
| spark.close() | ||
| } | ||
|
|
||
| def initTable(spark: SparkSession): Unit = { | ||
| spark.sql("DROP TABLE IF EXISTS A") | ||
| spark.sql("DROP TABLE IF EXISTS B") | ||
|
|
||
| spark.sql( | ||
| s""" | ||
| | CREATE TABLE IF NOT EXISTS A( | ||
| | id Int, | ||
| | price Int, | ||
| | state String | ||
| | ) | ||
| | STORED AS carbondata | ||
| """.stripMargin) | ||
|
|
||
| spark.sql( | ||
| s""" | ||
| | CREATE TABLE IF NOT EXISTS B( | ||
| | id Int, | ||
| | price Int, | ||
| | state String | ||
| | ) | ||
| | STORED AS carbondata | ||
| """.stripMargin) | ||
|
|
||
| spark.sql(s"""INSERT INTO A VALUES (1,100,"MA")""") | ||
| spark.sql(s"""INSERT INTO A VALUES (2,200,"NY")""") | ||
| spark.sql(s"""INSERT INTO A VALUES (3,300,"NH")""") | ||
| spark.sql(s"""INSERT INTO A VALUES (4,400,"FL")""") | ||
|
|
||
| spark.sql(s"""INSERT INTO B VALUES (1,1,"MA (updated)")""") | ||
| spark.sql(s"""INSERT INTO B VALUES (2,3,"NY (updated)")""") | ||
| spark.sql(s"""INSERT INTO B VALUES (3,3,"CA (updated)")""") | ||
| spark.sql(s"""INSERT INTO B VALUES (5,5,"TX (updated)")""") | ||
| spark.sql(s"""INSERT INTO B VALUES (7,7,"LO (updated)")""") | ||
| } | ||
|
|
||
| def dropTables(spark: SparkSession): Unit = { | ||
| spark.sql("DROP TABLE IF EXISTS A") | ||
| spark.sql("DROP TABLE IF EXISTS B") | ||
| } | ||
|
|
||
| def deleteExampleBody(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN MATCHED THEN DELETE" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def deleteWithExpressionExample(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN MATCHED AND B.ID=2 THEN DELETE" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def updateExampleBody(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN MATCHED THEN UPDATE SET *" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def updateWithExpressionExample(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN MATCHED AND A.ID=2 THEN UPDATE SET *" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def updateSpecificColWithExpressionExample(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| // In this example, it will only update the state | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN MATCHED AND A.ID=2 THEN UPDATE SET " + | ||
| "STATE=B.STATE" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def updateSpecificMultiColWithExpressionExample(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN MATCHED AND A.ID=2 THEN UPDATE SET A" + | ||
| ".STATE=B.STATE, A.PRICE=B.PRICE" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def insertExampleBody(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN NOT MATCHED THEN INSERT *" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def insertWithExpressionExample(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN NOT MATCHED AND B.ID=7 THEN INSERT *" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
|
|
||
| def insertSpecificColWithExpressionExample(spark: SparkSession): Unit = { | ||
| dropTables(spark) | ||
| initTable(spark) | ||
| val sqlText = "MERGE INTO A USING B ON A.ID=B.ID WHEN NOT MATCHED AND B.ID=7 THEN INSERT (A" + | ||
| ".ID,A.PRICE, A.state) VALUES (B.ID,B.PRICE, 'test-string')" | ||
| spark.sql(sqlText) | ||
| spark.sql(s"""SELECT * FROM A""").show() | ||
| dropTables(spark) | ||
| } | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.