使用Impala parser解析SQL

Impala对于hive引擎的语法和hive原生的有些许不同，虽然使用hive的parser也能部分兼容，但是由于impala的parser是使用cup和flex开发的，所以对impala的query进行语法解析的时候建议还是使用Impala原生的parser

1.在安装了impala的机器下找到impala-frontend的jar包（环境中的impala版本为2.12.0+cdh5.15.1+0）

lintong@master:/opt/cloudera/parcels/CDH/jars$ ls | grep impala-frontend
impala-frontend-0.1-SNAPSHOT.jar

2.使用mvn install安装到本地仓库中，或者上传到私服仓库中

mvn install:install-file -Dfile=/home/lintong/下载/impala-frontend-0.1-SNAPSHOT.jar -DgroupId=org.apache.impala -DartifactId=impala-frontend -Dversion=0.1-SNAPSHOT -Dpackaging=jar

3.在工程中引入impala-frontend和java-cup，java-cup的版本可以使用反编译工具打开impala-frontend的jar进行确认

<dependency>
    <groupId>org.apache.impala</groupId>
    <artifactId>impala-frontend</artifactId>
    <version>0.1-SNAPSHOT</version>
</dependency>
<dependency>
    <groupId>net.sourceforge.czt.dev</groupId>
    <artifactId>java-cup</artifactId>
    <version>0.11-a-czt02-cdh</version>
</dependency>

在解析select语句的时候如果报

java.lang.NoClassDefFoundError: org/apache/sentry/core/model/db/DBModelAction

	at org.apache.impala.analysis.TableRef.<init>(TableRef.java:138)
	at org.apache.impala.analysis.CUP$SqlParser$actions.case421(SqlParser.java:18035)
	at org.apache.impala.analysis.CUP$SqlParser$actions.CUP$SqlParser$do_action(SqlParser.java:5976)
	at org.apache.impala.analysis.SqlParser.do_action(SqlParser.java:1349)
	at java_cup.runtime.lr_parser.parse(lr_parser.java:587)
	at com.xxxx.xx.core.parser.XXXXTest.getLineageInfo(XXXXTest.java:41)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
	at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
	at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
	at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:69)
	at com.intellij.rt.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:33)
	at com.intellij.rt.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:220)
	at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:53)
Caused by: java.lang.ClassNotFoundException: org.apache.sentry.core.model.db.DBModelAction
	at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
	at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
	... 28 more


Process finished with exit code 255

在pom中添加

<dependency>
    <groupId>org.apache.sentry</groupId>
    <artifactId>sentry-core-model-db</artifactId>
    <version>1.5.1-cdh5.15.1</version>
</dependency>

4.参考Impala的源代码中parser的demo

https://github.com/cloudera/Impala/blob/master/fe/src/test/java/com/cloudera/impala/analysis/ParserTest.java

解析select和create kudu table等语句

import org.apache.impala.analysis.*;
import java.io.StringReader;


String impalaSelectQuery = "SELECT `ds` FROM `db1`.`table1` WHERE (`ds`='test') OR (`ds`='2020-08-02') OR (`ds`='2020-08-01') LIMIT 100"; // select语句
String hiveSelectQuery = "select city,array_contains(city, 'Paris') from default.arraydemo  limit 5";
String kuduCreateTableQuery = "CREATE TABLE `db1`.`my_first_table`\n" +
        "(\n" +
        "  id BIGINT,\n" +
        "  name STRING,\n" +
        "  PRIMARY KEY(id)\n" +
        ")\n" +
        "PARTITION BY HASH PARTITIONS 16\n" +
        "STORED AS KUDU\n" +
        "TBLPROPERTIES (\n" +
        "  'kudu.master_addresses' = 'hadoop01:7051,hadoop02:7051,hadoop03:7051', \n" +
        "  'kudu.table_name' = 'my_first_table'\n" +
        ");"; // kudu建表语句
String invalidQuery = "INVALIDATE METADATA db1.tb1"; // 刷新元数据语句
String refreshQuery = "REFRESH db1.tb1 partition(ds='2021-05-02')"; // 刷新元数据语句
String computeQuery = "COMPUTE INCREMENTAL STATS db1.tb1"; // compute stats语句
String describeQuery = "Describe db1.tb1;"; // describe语句
String renameQuery = "ALTER TABLE my_db.customers RENAME TO my_db.users;"; // rename语句
String addColQuery = "ALTER TABLE db1.tb1 ADD COLUMNS (col1 string)"; // add col语句
String alterColQuery = "ALTER TABLE db1.tb1 CHANGE col1 col2 bigint"; // alter col语句
String setQuery = "set mem_limit = 5gb";
String useQuery = "use default";
String query = impalaSelectQuery;
SqlScanner input = new SqlScanner(new StringReader(query));
SqlParser parser = new SqlParser(input);
ParseNode node = null;
try {
    node = (ParseNode) parser.parse().value;
    if (node instanceof SelectStmt) {
        System.out.println("查询语句"); // with语句也属于查询语句
        SelectStmt selectStmt = (SelectStmt) node;
        String databaseName = selectStmt.getTableRefs().get(0).getPath().get(0);
        String tableName = selectStmt.getTableRefs().get(0).getPath().get(1);
        System.out.println(databaseName);
        System.out.println(tableName);
    } else if (node instanceof CreateTableStmt) {
        System.out.println("建表语句");
        CreateTableStmt createTableStmt = (CreateTableStmt) node;
        System.out.println(createTableStmt.getTbl());
        for (ColumnDef def : createTableStmt.getColumnDefs()) {
            System.out.println(def.getColName() + " " + def.getTypeDef());
        }
    } else if (node instanceof ResetMetadataStmt) {
        System.out.println("刷新元数据语句");
    } else if (node instanceof ComputeStatsStmt) {
        System.out.println("compute stats语句");
    } else if (node instanceof DescribeTableStmt) {
        System.out.println("describe语句");
    } else if (node instanceof AlterTableOrViewRenameStmt) {
        System.out.println("rename语句");
    } else if (node instanceof AlterTableAddReplaceColsStmt) {
        System.out.println("add col语句");
    } else if (node instanceof AlterTableAlterColStmt) {
        System.out.println("alter col语句");
    } else if (node instanceof UseStmt) {
        System.out.println("use语句");
    } else if (node instanceof SetStmt) {
        System.out.println("set语句");
    } else {
        System.out.println(node.getClass());
    }
} catch (Exception e) {
    e.printStackTrace();
    fail("\nParser error:\n" + parser.getErrorMsg(query));
}

输出

建表语句
my_first_table
id BIGINT
name STRING

impala建textfile表语句

create table IF NOT EXISTS default.bbb (
   column1 string,
   column2 int,
   column3 bigint
);

不添加其他参数默认建立的是TEXTFILE格式的hive表

	CREATE TABLE default.bbb (   column1 STRING,   column2 INT,   column3 BIGINT ) STORED AS TEXTFILE LOCATION 'hdfs://xx-nameservice/user/hive/warehouse/bbb'

impala建parquet表语句

create table IF NOT EXISTS default.bbb (
   column1 string,
   column2 int,
   column3 bigint
)
stored as parquet;

表结构

CREATE TABLE default.bbb (   column1 STRING,   column2 INT,   column3 BIGINT ) STORED AS PARQUET LOCATION 'hdfs://xx-nameservice/user/hive/warehouse/bbb'