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[FLINK-35221][hive] Support SQL 2011 reserved keywords as identifiers…
… in HiveParser (#18)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,223 @@ | ||
| /* | ||
| * 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.flink.connectors.hive; | ||
|
|
||
| import org.apache.flink.table.api.SqlDialect; | ||
| import org.apache.flink.table.api.TableEnvironment; | ||
| import org.apache.flink.table.catalog.hive.HiveCatalog; | ||
| import org.apache.flink.table.catalog.hive.HiveTestUtils; | ||
| import org.apache.flink.table.module.CoreModule; | ||
| import org.apache.flink.table.module.hive.HiveModule; | ||
| import org.apache.flink.table.planner.delegation.hive.HiveParserConstants; | ||
| import org.apache.flink.util.CollectionUtil; | ||
|
|
||
| import org.junit.jupiter.api.BeforeAll; | ||
| import org.junit.jupiter.api.Test; | ||
|
|
||
| import java.util.ArrayList; | ||
| import java.util.Arrays; | ||
| import java.util.List; | ||
| import java.util.Random; | ||
|
|
||
| import static org.assertj.core.api.Assertions.assertThatNoException; | ||
|
|
||
| /** Test with SQL11 reserved keywords in hive queries. */ | ||
| class HiveDialectSupportSQL11ReservedKeywordAsIdentifierITTest { | ||
| private static HiveCatalog hiveCatalog; | ||
| private static TableEnvironment tableEnv; | ||
| private static List<String> sql11ReservedKeywords; | ||
|
|
||
| @BeforeAll | ||
| static void setup() throws Exception { | ||
| hiveCatalog = HiveTestUtils.createHiveCatalog(); | ||
| hiveCatalog | ||
| .getHiveConf() | ||
| .setBoolean(HiveParserConstants.HIVE_SUPPORT_SQL_11_RESERVED_KEYWORDS, false); | ||
| hiveCatalog.open(); | ||
| tableEnv = getTableEnvWithHiveCatalog(); | ||
| sql11ReservedKeywords = | ||
| Arrays.asList( | ||
| "ALL", | ||
| "ALTER", | ||
| "ARRAY", | ||
| "AS", | ||
| "AUTHORIZATION", | ||
| "BETWEEN", | ||
| "BIGINT", | ||
| "BINARY", | ||
| "BOOLEAN", | ||
| "BOTH", | ||
| "BY", | ||
| "CREATE", | ||
| "CUBE", | ||
| "CURRENT_DATE", | ||
| "CURRENT_TIMESTAMP", | ||
| "CURSOR", | ||
| "DATE", | ||
| "DECIMAL", | ||
| "DELETE", | ||
| "DESCRIBE", | ||
| "DOUBLE", | ||
| "DROP", | ||
| "EXISTS", | ||
| "EXTERNAL", | ||
| "FALSE", | ||
| "FETCH", | ||
| "FLOAT", | ||
| "FOR", | ||
| "FULL", | ||
| "GRANT", | ||
| "GROUP", | ||
| "GROUPING", | ||
| "IMPORT", | ||
| "IN", | ||
| "INNER", | ||
| "INSERT", | ||
| "INT", | ||
| "INTERSECT", | ||
| "INTO", | ||
| "IS", | ||
| "LATERAL", | ||
| "LEFT", | ||
| "LIKE", | ||
| "LOCAL", | ||
| "NONE", | ||
| "NULL", | ||
| "OF", | ||
| "ORDER", | ||
| "OUT", | ||
| "OUTER", | ||
| "PARTITION", | ||
| "PERCENT", | ||
| "PROCEDURE", | ||
| "RANGE", | ||
| "READS", | ||
| "REVOKE", | ||
| "RIGHT", | ||
| "ROLLUP", | ||
| "ROW", | ||
| "ROWS", | ||
| "SET", | ||
| "SMALLINT", | ||
| "TABLE", | ||
| "TIMESTAMP", | ||
| "TO", | ||
| "TRIGGER", | ||
| "TRUE", | ||
| "TRUNCATE", | ||
| "UNION", | ||
| "UPDATE", | ||
| "USER", | ||
| "USING", | ||
| "VALUES", | ||
| "WITH", | ||
| "REGEXP", | ||
| "RLIKE", | ||
| "PRIMARY", | ||
| "FOREIGN", | ||
| "CONSTRAINT", | ||
| "REFERENCES", | ||
| "PRECISION"); | ||
| } | ||
|
|
||
| @Test | ||
| void testReservedKeywordAsIdentifierInDDL() { | ||
| List<String> toRun = | ||
| new ArrayList<>( | ||
| Arrays.asList( | ||
| "create table table1 (x int, %s int)", | ||
| "create table table2 (x int) partitioned by (%s string, q string)", | ||
| "create table table3 (\n" | ||
| + " a int,\n" | ||
| + " %s struct<f1: boolean, f2: string, f3: struct<f4: int, f5: double>, f6: int>\n" | ||
| + ")")); | ||
| Random random = new Random(); | ||
| for (String queryTemplate : toRun) { | ||
| // Select a random keyword. | ||
| String chosenKeyword = | ||
| sql11ReservedKeywords.get(random.nextInt(sql11ReservedKeywords.size())); | ||
| String finalQuery = String.format(queryTemplate, chosenKeyword); | ||
| runQuery(finalQuery); | ||
| } | ||
| } | ||
|
|
||
| @Test | ||
| void testReservedKeywordAsIdentifierInDQL() { | ||
| List<String> toRun = | ||
| new ArrayList<>( | ||
| Arrays.asList( | ||
| "create table table4(id int,name string,dep string,%s int,age int)", | ||
| "select avg(%s) over (partition by dep) as avgsal from table4", | ||
| "select dep,name,%s from (select dep,name,%s,rank() over " | ||
| + "(partition by dep order by %s desc) as rnk from table4) a where rnk=1", | ||
| "select %s,sum(cnt) over (order by %s)/sum(cnt) over " | ||
| + "(order by %s ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) from" | ||
| + " (select %s,count(*) as cnt from table4 group by %s) a")); | ||
| Random random = new Random(); | ||
| // Select a random keyword. | ||
| String chosenKeyword = | ||
| sql11ReservedKeywords.get(random.nextInt(sql11ReservedKeywords.size())); | ||
| for (String queryTemplate : toRun) { | ||
| String finalQuery = queryTemplate.replace("%s", chosenKeyword); | ||
| runQuery(finalQuery); | ||
| } | ||
| } | ||
|
|
||
| @Test | ||
| void testReservedKeywordAsIdentifierInDML() { | ||
| List<String> toRun = | ||
| new ArrayList<>( | ||
| Arrays.asList( | ||
| "create table table5 (%s string, value string)", | ||
| "create table table6(key int, ten int, one int, value string)", | ||
| "from table5 insert overwrite table table6 map table5.%s," | ||
| + " CAST(table5.%s / 10 AS INT), CAST(table5.%s % 10 AS INT)," | ||
| + " table5.value using 'cat' as (tkey, ten, one, tvalue)" | ||
| + " distribute by tvalue, tkey")); | ||
| Random random = new Random(); | ||
| // Select a random keyword. | ||
| String chosenKeyword = | ||
| sql11ReservedKeywords.get(random.nextInt(sql11ReservedKeywords.size())); | ||
| for (String queryTemplate : toRun) { | ||
| String finalQuery = queryTemplate.replace("%s", chosenKeyword); | ||
| runQuery(finalQuery); | ||
| } | ||
| } | ||
|
|
||
| private void runQuery(String query) { | ||
| assertThatNoException() | ||
| .isThrownBy( | ||
| () -> CollectionUtil.iteratorToList(tableEnv.executeSql(query).collect())); | ||
| } | ||
|
|
||
| private static TableEnvironment getTableEnvWithHiveCatalog() { | ||
| TableEnvironment tableEnv = HiveTestUtils.createTableEnvInBatchMode(SqlDialect.HIVE); | ||
| tableEnv.registerCatalog(hiveCatalog.getName(), hiveCatalog); | ||
| tableEnv.useCatalog(hiveCatalog.getName()); | ||
| // automatically load hive module in hive-compatible mode | ||
| HiveModule hiveModule = new HiveModule(hiveCatalog.getHiveVersion()); | ||
| CoreModule coreModule = CoreModule.INSTANCE; | ||
| for (String loaded : tableEnv.listModules()) { | ||
| tableEnv.unloadModule(loaded); | ||
| } | ||
| tableEnv.loadModule("hive", hiveModule); | ||
| tableEnv.loadModule("core", coreModule); | ||
| return tableEnv; | ||
| } | ||
| } |
1.18的flink版本没有这个builder.setPath()这个方法，编译要报错