refactor: standard naming (#278)

* refactor: rename flinksql to flink * refactor: rename pgsql to postgresql * refactor: rename trinosql to trino * refactor: replace all default exports with named export * refactor: rename basicParser to basicSQL * refactor: rename basic-parser-types to types * refactor: replace arrow func with plain func
2024-03-27 10:33:25 +08:00
parent a99721162b
commit bb0fad1dbe
325 changed files with 33161 additions and 33202 deletions
--- a/test/parser/flink/syntax/fixtures/alterDatabase.sql
+++ b/test/parser/flink/syntax/fixtures/alterDatabase.sql
@ -0,0 +1,3 @@
+ALTER DATABASE tempDB SET ("key1"="value1");
+
+ALTER DATABASE db1 SET ('key1' = 'value1','key2.a' = 'value2.a');
--- a/test/parser/flink/syntax/fixtures/alterFunction.sql
+++ b/test/parser/flink/syntax/fixtures/alterFunction.sql
@ -0,0 +1,15 @@
+ALTER FUNCTION tempFunction AS 'SimpleUdf';
+
+ALTER temporary FUNCTION function1 AS 'org.apache.flink.function.function1';
+
+ALTER temporary FUNCTION function1 AS 'org.apache.flink.function.function1' LANGUAGE scala;
+
+ALTER temporary SYSTEM FUNCTION function1 AS 'org.apache.flink.function.function1';
+
+ALTER temporary SYSTEM FUNCTION function1 AS 'org.apache.flink.function.function1' LANGUAGE java;
+
+ALTER TEMPORARY SYSTEM FUNCTION IF EXISTS tempFunction AS 'SimpleUdf';
+
+ALTER TEMPORARY FUNCTION IF EXISTS tempFunction AS 'SimpleUdf';
+
+ALTER FUNCTION myudf AS 'com.example.MyUdf' LANGUAGE PYTHON;
--- a/test/parser/flink/syntax/fixtures/alterTable.sql
+++ b/test/parser/flink/syntax/fixtures/alterTable.sql
@ -0,0 +1,65 @@
+-- Refer: https://github.com/apache/flink/blob/master/flink-table/flink-sql-parser/src/test/java/org/apache/flink/sql/parser/FlinkSqlParserImplTest.java#L2016
+-- Just for simple alter table statements, it not include alter table columns statements
+
+ALTER TABLE
+    t1 RENAME TO t2;
+
+ALTER TABLE
+    IF EXISTS t1 RENAME TO t2;
+
+ALTER TABLE
+    c1.d1.t1 RENAME TO t2;
+
+ALTER TABLE
+    IF EXISTS c1.d1.t1 RENAME TO t2;
+
+ALTER TABLE
+    t1 RENAME a TO b;
+
+ALTER TABLE
+    IF EXISTS t1 RENAME a TO b;
+
+ALTER TABLE
+    IF EXISTS t1 RENAME a.x TO a.y;
+
+ALTER TABLE
+    t1
+set
+    ('key1' = 'value1');
+
+ALTER TABLE
+    IF EXISTS t1
+set
+    ('key1' = 'value1');
+
+ALTER TABLE
+    t1
+ADD
+    CONSTRAINT ct1 PRIMARY KEY(a, b);
+
+ALTER TABLE
+    t1
+ADD
+    CONSTRAINT ct1 PRIMARY KEY(a, b) NOT ENFORCED;
+
+ALTER TABLE
+    IF EXISTS t1
+ADD
+    CONSTRAINT ct1 PRIMARY KEY(a, b) NOT ENFORCED;
+
+ALTER TABLE
+    t1
+ADD
+    UNIQUE(a, b);
+
+ALTER TABLE
+    IF EXISTS t1
+ADD
+    UNIQUE(a, b);
+
+ALTER TABLE
+    t1 DROP CONSTRAINT ct1;
+
+ALTER TABLE
+    IF EXISTS t1 DROP CONSTRAINT ct1;
+
--- a/test/parser/flink/syntax/fixtures/alterView.sql
+++ b/test/parser/flink/syntax/fixtures/alterView.sql
@ -0,0 +1,8 @@
+ALTER VIEW v1 RENAME TO v2;
+
+ALTER VIEW v1 AS
+SELECT
+    c1,
+    c2
+FROM
+    tbl;
--- a/test/parser/flink/syntax/fixtures/analyze.sql
+++ b/test/parser/flink/syntax/fixtures/analyze.sql
--- a/test/parser/flink/syntax/fixtures/chore.sql
+++ b/test/parser/flink/syntax/fixtures/chore.sql
@ -0,0 +1,27 @@
+-- LOAD/UNLOAD
+LOAD MODULE CORE;
+
+LOAD MODULE dummy WITH ('k1' = 'v1', 'k2' = 'v2');
+
+UNLOAD MODULE CORE;
+
+--SET/RESET
+SET;
+
+SET 'test-key' = 'test-value';
+
+RESET;
+
+RESET 'test-key';
+
+-- ADD/REMOVE JAR
+ADD JAR '<path_to_filename>.jar'
+
+REMOVE JAR '<path_to_filename>.jar'
+
+-- Complex Arithmetic Expression
+INSERT INTO avg_request_size_5m SELECT
+    window_start,
+    window_end,
+    (server_logs_window_5m.a/server_logs_window_5m.b+c)/d*e%f-g AS avg_size
+FROM server_logs_window_5m;
--- a/test/parser/flink/syntax/fixtures/comment.sql
+++ b/test/parser/flink/syntax/fixtures/comment.sql
@ -0,0 +1,7 @@
+----test comment1
+
+--test comment2
+
+/*
+ * test comments 3
+ */
--- a/test/parser/flink/syntax/fixtures/createCatalog.sql
+++ b/test/parser/flink/syntax/fixtures/createCatalog.sql
@ -0,0 +1 @@
+CREATE CATALOG c1 WITH ('key1' = 'value1', 'key2' = 'value2');
--- a/test/parser/flink/syntax/fixtures/createDatabase.sql
+++ b/test/parser/flink/syntax/fixtures/createDatabase.sql
@ -0,0 +1,9 @@
+CREATE DATABASE db1 WITH ('key1' = 'value1', 'key2.a' = 'value2.a');
+
+CREATE DATABASE IF NOT EXISTS db1 WITH ('key1' = 'value1', 'key2.a' = 'value2.a');
+
+CREATE DATABASE catalog1.db1 WITH ('key1' = 'value1', 'key2.a' = 'value2.a');
+
+CREATE DATABASE db1 COMMENT 'test create database' WITH ('key1' = 'value1', 'key2.a' = 'value2.a');
+
+CREATE DATABASE IF NOT EXISTS dataApi COMMENT 'test create database' WITH ('key1' = 'value1', 'key2.a' = 'value2.a');
--- a/test/parser/flink/syntax/fixtures/createFunction.sql
+++ b/test/parser/flink/syntax/fixtures/createFunction.sql
@ -0,0 +1,28 @@
+CREATE FUNCTION IF NOT EXISTS tempFunction AS 'SimpleUdf';
+
+CREATE FUNCTION catalog1.db1.function1 AS 'org.apache.flink.function.function1';
+
+CREATE TEMPORARY FUNCTION catalog1.db1.function1 AS 'org.apache.flink.function.function1';
+
+CREATE TEMPORARY FUNCTION db1.function1 AS 'org.apache.flink.function.function1';
+
+CREATE TEMPORARY FUNCTION function1 AS 'org.apache.flink.function.function1';
+
+CREATE TEMPORARY FUNCTION IF NOT EXISTS catalog1.db1.function1 AS 'org.apache.flink.function.function1';
+
+CREATE TEMPORARY FUNCTION function1 AS 'org.apache.flink.function.function1' LANGUAGE JAVA;
+
+CREATE TEMPORARY SYSTEM FUNCTION function1 AS 'org.apache.flink.function.function1' LANGUAGE SCALA;
+
+CREATE TEMPORARY SYSTEM FUNCTION IF NOT EXISTS function1 AS 'org.apache.flink.function.function1' LANGUAGE PYTHON;
+
+-- test create function USING jar
+CREATE TEMPORARY FUNCTION function1 AS 'org.apache.fink.function.function1' LANGUAGE JAVA USING JAR 'file:///path/to/test.jar',
+JAR 'hdfs:///path/to/test2.jar';
+
+CREATE TEMPORARY FUNCTION function1 AS 'org.apache.flink.function.function1' LANGUAGE SCALA USING JAR '/path/to/test.jar';
+
+CREATE TEMPORARY SYSTEM FUNCTION function1 AS 'org.apache.flink.function.function1' LANGUAGE SCALA USING JAR '/path/to/test.jar';
+
+CREATE FUNCTION function1 AS 'org.apache.flink.function.function1' LANGUAGE JAVA USING JAR 'file:///path/to/test.jar',
+JAR 'hdfs:///path/to/test2.jar';
--- a/test/parser/flink/syntax/fixtures/createTable.sql
+++ b/test/parser/flink/syntax/fixtures/createTable.sql
@ -0,0 +1,304 @@
+CREATE TABLE MyTable ('user_id' BIGINT, 'name' STRING) WITH ('connector' = 'oracle-x');
+
+CREATE TABLE MyTable WITH ('connector' = 'oracle-x');
+
+CREATE TEMPORARY TABLE client_errors (
+    log_time TIMESTAMP(3),
+    request_line STRING,
+    status_code STRING,
+    size INT
+) WITH (
+    'connector' = 'stream-x'
+);
+
+-- 尽管官方文档的 BNF 里没有支持创建临时表，但实际上是支持的
+CREATE TEMPORARY TABLE MyTable ('user_id' BIGINT, 'name' STRING) WITH ('connector' = 'oracle-x');
+
+CREATE TABLE MyTable (
+    'user_id' BIGINT,
+    'name' STRING,
+    'timestamp' BIGINT METADATA,                                                  -- part of the query-to-sink schema
+    'offset' BIGINT METADATA VIRTUAL,                                             -- not part of the query-to-sink schema
+    'record_time' TIMESTAMP(3) WITH LOCAL TIME ZONE METADATA FROM 'timestamp'     -- reads and writes a Kafka record's timestamp
+) WITH ('connector' = 'kafka');
+
+CREATE TABLE MyTable (
+    'user_id' BIGINT,
+    'price' DOUBLE,
+    'quantity' DOUBLE,
+    'cost' AS price * quanitity -- evaluate expression and supply the result to queries
+) WITH ('connector' = 'kafka');
+
+CREATE TABLE MyTable (
+    'user' BIGINT,
+    product STRING,
+    order_time TIMESTAMP(3),
+    WATERMARK FOR order_time AS order_time - INTERVAL '5' SECOND
+) WITH ('connector' = 'kafka');
+
+CREATE TABLE MyTable (id INT, PRIMARY KEY (id) NOT ENFORCED) WITH ('connector' = 'kafka');
+
+CREATE TABLE tbl1 (
+    a BIGINT,
+    h VARCHAR,
+    g AS 2 * (a + 1),
+    ts AS toTimestamp(b, 'yyyy-MM-dd HH:mm:ss'),
+    b VARCHAR,
+    proc AS PROCTIME(),
+    meta STRING METADATA,
+    my_meta STRING METADATA FROM 'meta',
+    my_meta STRING METADATA FROM 'meta' VIRTUAL,
+    meta STRING METADATA VIRTUAL,
+    PRIMARY KEY (a, b) NOT ENFORCED
+) PARTITIONED BY (a, h) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE Orders_in_file (
+    'user' BIGINT,
+    product STRING,
+    order_time_string STRING,
+    order_time AS to_timestamp(order_time)
+) PARTITIONED BY ('user') WITH (
+    'connector' = 'filesystem',
+    'path' = '...'
+);
+
+CREATE TABLE Orders_with_watermark (
+    id INT,
+    -- Add watermark definition
+    WATERMARK FOR order_time AS order_time - INTERVAL '5' SECOND
+) WITH (
+    -- Overwrite the startup-mode
+    'scan.startup.mode' = 'latest-offset'
+) LIKE Orders_in_file (
+    -- Exclude everything besides the computed columns which we need to generate the watermark for.
+    -- We do not want to have the partitions or filesystem options as those do not apply to kafka. 
+    EXCLUDING ALL 
+    INCLUDING GENERATED
+);
+
+CREATE TABLE my_ctas_table WITH ('connector' = 'kafka') 
+AS SELECT
+    id,
+    name,
+    age
+FROM
+    source_table
+WHERE
+    mod(id, 10) = 0;
+
+CREATE TABLE catalog1.db1.table1 (id INT) WITH ('connector' = 'kafka');
+
+CREATE TABLE catalog1.db1.table1 (
+    attr0 STRING,
+    attr1 BOOLEAN,
+    attr3 DECIMAL(38, 18),
+    attr4 TINYINT,
+    attr5 SMALLINT,
+    attr6 INT,
+    attr7 BIGINT,
+    attr8 FLOAT,
+    attr9 DOUBLE,
+    attr10 DATE,
+    attr11 TIME,
+    attr12 TIMESTAMP(3),
+    attr13 ARRAY<STRING>,
+    attr14 ROW<attr15 FLOAT, attr16 TIMESTAMP(3)>,
+    attr17 MAP<INT, BIGINT>,
+    name1 VARCHAR(64),
+    message ROW<data ROW<UPO_TIMESTAMP VARCHAR(20)>>,
+    `raw` RAW('class', 'snapshot')
+) WITH ('connector' = 'kafka');
+
+CREATE TABLE IF NOT EXISTS tbl1 (
+    a BIGINT,
+    h VARCHAR,
+    g AS 2 * (a + 1),
+    ts AS toTimestamp(b, 'yyyy-MM-dd HH:mm:ss'),
+    b VARCHAR,
+    proc AS PROCTIME(),
+    PRIMARY KEY (a, b) NOT ENFORCED
+) PARTITIONED BY (a, h) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    a BIGINT COMMENT 'test column comment AAA.',
+    h VARCHAR,
+    g AS 2 * (a + 1),
+    ts AS toTimestamp(b, 'yyyy-MM-dd HH:mm:ss'),
+    b VARCHAR,
+    proc AS PROCTIME(),
+    meta STRING METADATA,
+    my_meta STRING METADATA FROM 'meta',
+    my_meta STRING METADATA FROM 'meta' VIRTUAL,
+    PRIMARY KEY (a, b) NOT ENFORCED
+) COMMENT 'test table comment ABC.' PARTITIONED BY (a, h) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    a BIGINT COMMENT 'test column comment AAA.',
+    h VARCHAR,
+    g AS 2 * (a + 1) COMMENT 'test computed column.',
+    ts AS toTimestamp(b, 'yyyy-MM-dd HH:mm:ss'),
+    b VARCHAR,
+    proc AS PROCTIME(),
+    PRIMARY KEY (a, b) NOT ENFORCED
+) COMMENT 'test table comment ABC.' PARTITIONED BY (a, h) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    a BIGINT,
+    h VARCHAR,
+    g AS 2 * (a + 1),
+    ts AS toTimestamp(b, 'yyyy-MM-dd HH:mm:ss'),
+    b VARCHAR,
+    proc AS PROCTIME(),
+    PRIMARY KEY (a, b) NOT ENFORCED
+) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    a BIGINT PRIMARY KEY NOT ENFORCED COMMENT 'test column comment AAA.',
+    h VARCHAR CONSTRAINT ct1 PRIMARY KEY NOT ENFORCED,
+    g AS 2 * (a + 1),
+    ts AS toTimestamp(b, 'yyyy-MM-dd HH:mm:ss'),
+    proc AS PROCTIME()
+) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    ts TIMESTAMP(3),
+    id VARCHAR,
+    WATERMARK FOR ts AS ts - INTERVAL '3' SECOND
+) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    log_ts VARCHAR,
+    ts AS to_timestamp(log_ts),
+    WATERMARK FOR ts AS ts + INTERVAL '1' SECOND
+) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    f1 ROW<q1 BIGINT, q2 ROW<t1 TIMESTAMP, t2 VARCHAR>, q3 BOOLEAN>,
+    WATERMARK FOR f1.q2.t1 AS NOW()
+) WITH (
+    'connector' = 'kafka',
+    'kafka.topic' = 'log.test'
+);
+
+CREATE TABLE tbl1 (
+    a ARRAY<BIGINT>, 
+    b MAP<INT, VARCHAR>,
+    c ROW<cc0 INT, cc1 FLOAT, cc2 VARCHAR>,
+    d MULTISET<VARCHAR>,
+    PRIMARY KEY (a, b) NOT ENFORCED
+) WITH (
+    'x' = 'y', 
+    'asd' = 'data'
+);
+
+CREATE TABLE tbl1 (
+    a ARRAY<ARRAY<BIGINT>>, 
+    b MAP<MAP<INT, VARCHAR>, ARRAY<VARCHAR>>,
+    c ROW<cc0 ARRAY<INT>, cc1 FLOAT, cc2 VARCHAR>,
+    d MULTISET<ARRAY<INT>>,
+    f TIMESTAMP(9),
+    PRIMARY KEY (a, b) NOT ENFORCED
+) WITH (
+    'x' = 'y', 
+    'asd' = 'data'
+);
+
+CREATE TABLE tbl1 (
+    a ARRAY<ARRAY<BIGINT>>, 
+    b MAP<MAP<INT, VARCHAR>, ARRAY<VARCHAR>>,
+    c ROW<cc0 ARRAY<INT>, cc1 FLOAT, cc2 VARCHAR>,
+    d MULTISET<ARRAY<INT>>,
+    f TIMESTAMP(9),
+    PRIMARY KEY (a, b) NOT ENFORCED
+) WITH (
+    'x' = 'y', 
+    'asd' = 'data'
+)  LIKE Orders (
+   OVERWRITING OPTIONS
+   EXCLUDING CONSTRAINTS
+);
+
+CREATE TEMPORARY TABLE server_logs (
+    client_ip STRING,
+    client_identity STRING,
+    userid STRING,
+    user_agent STRING,
+    log_time TIMESTAMP(3),
+    request_line STRING,
+    status_code STRING,
+    size INT
+) WITH (
+    'connector' = 'faker'
+);
+
+CREATE TEMPORARY TABLE aggregations1 (
+    `browser`     STRING,
+    `status_code` STRING,
+    `end_time`    TIMESTAMP(3),
+    `requests`    BIGINT NOT NULL
+) WITH (
+    'connector' = 'blackhole'
+);
+
+CREATE TABLE dt_catalog.dt_db.doctor_sightings (
+    doctor        STRING,
+    sighting_time TIMESTAMP(3),
+    WATERMARK FOR sighting_time AS sighting_time - INTERVAL '15' SECONDS
+) WITH (
+    'connector' = 'faker'
+);
+
+
+CREATE TABLE dt_catalog.dt_db.bids (
+    bid_id STRING,
+    currency_code STRING,
+    bid_price DOUBLE,
+    transaction_time TIMESTAMP(3),
+    WATERMARK FOR transaction_time AS transaction_time - INTERVAL '5' SECONDS  -- 定义事件时间，允许的最大窗口延迟为5s
+) WITH (
+    'connector' = 'faker'
+);
+
+
+CREATE TABLE dt_catalog.dt_db.currency_rates (
+    `currency_code` STRING,
+    `eur_rate` DECIMAL(6,4),
+    `rate_time` TIMESTAMP(3),
+    WATERMARK FOR `rate_time` AS rate_time - INTERVAL '15' SECONDS, -- 定义事件时间
+    PRIMARY KEY (currency_code) NOT ENFORCED -- 定义主键
+) WITH (
+    'connector' = 'faker'
+);
+
+CREATE TABLE dt_catalog.dt_db.users (
+    -- That was weird, NOT ENFORCED should have been necessary but we got a demo like the following and it could work!
+    user_id INT PRIMARY KEY, 
+    user_name VARCHAR(255) NOT NULL,
+    age INT NULL
+) WITH (
+    'connector' = 'faker'
+);
--- a/test/parser/flink/syntax/fixtures/createView.sql
+++ b/test/parser/flink/syntax/fixtures/createView.sql
@ -0,0 +1,56 @@
+CREATE VIEW v AS
+SELECT
+    col1
+FROM
+    tbl;
+
+CREATE TEMPORARY VIEW v AS
+SELECT
+    col1
+FROM
+    tbl;
+
+CREATE VIEW v COMMENT 'this is a view' AS
+SELECT
+    col1
+FROM
+    tbl;
+
+CREATE VIEW v(col1, col2) AS
+SELECT
+    col3,
+    col4
+FROM
+    tbl;
+
+CREATE VIEW v(col1, col2) COMMENT 'this is a view' AS
+SELECT
+    col3,
+    col4
+FROM
+    tbl;
+
+CREATE TEMPORARY VIEW IF NOT EXISTS v AS
+SELECT
+    col1
+FROM
+    tbl;
+
+CREATE TEMPORARY VIEW browsers AS 
+SELECT
+    REGEXP_EXTRACT(user_agent,'[^\/]+') AS browser,
+    status_code,
+    log_time
+FROM 
+    server_logs;
+
+CREATE VIEW server_logs_window_1m AS
+SELECT 
+    TUMBLE_START(log_time, INTERVAL '1' MINUTE) AS window_start,
+    TUMBLE_ROWTIME(log_time, INTERVAL '1' MINUTE) AS window_end,
+    SUM(size) AS total_size,
+    COUNT(*) AS num_requests
+FROM 
+    server_logs
+GROUP BY
+    TUMBLE(log_time, INTERVAL '1' MINUTE);
--- a/test/parser/flink/syntax/fixtures/describe.sql
+++ b/test/parser/flink/syntax/fixtures/describe.sql
@ -0,0 +1,7 @@
+DESCRIBE Orders;
+
+DESC Orders;
+
+DESCRIBE catalog1.db1.table1;
+
+DESC catalog1.db1.table1;
--- a/test/parser/flink/syntax/fixtures/dropCatalog.sql
+++ b/test/parser/flink/syntax/fixtures/dropCatalog.sql
@ -0,0 +1,3 @@
+DROP CATALOG catalog1;
+
+DROP CATALOG IF EXISTS catalog2;
--- a/test/parser/flink/syntax/fixtures/dropDatabase.sql
+++ b/test/parser/flink/syntax/fixtures/dropDatabase.sql
@ -0,0 +1,3 @@
+DROP DATABASE Orders;
+DROP DATABASE IF EXISTS Orders RESTRICT;
+DROP DATABASE IF EXISTS Orders CASCADE;
--- a/test/parser/flink/syntax/fixtures/dropFunction.sql
+++ b/test/parser/flink/syntax/fixtures/dropFunction.sql
@ -0,0 +1,5 @@
+DROP FUNCTION Orders;
+
+DROP TEMPORARY FUNCTION IF EXISTS Orders;
+
+DROP TEMPORARY SYSTEM FUNCTION IF EXISTS Orders;
--- a/test/parser/flink/syntax/fixtures/dropTable.sql
+++ b/test/parser/flink/syntax/fixtures/dropTable.sql
@ -0,0 +1,5 @@
+DROP TABLE Orders;
+
+DROP TABLE IF EXISTS Orders;
+
+DROP TEMPORARY TABLE IF EXISTS Orders;
--- a/test/parser/flink/syntax/fixtures/dropView.sql
+++ b/test/parser/flink/syntax/fixtures/dropView.sql
@ -0,0 +1,3 @@
+DROP VIEW Orders;
+
+DROP TEMPORARY VIEW IF EXISTS Orders;
--- a/test/parser/flink/syntax/fixtures/dtAddFile.sql
+++ b/test/parser/flink/syntax/fixtures/dtAddFile.sql
@ -0,0 +1,25 @@
+ADD JAR WITH /home/test.jar;
+
+ADD JAR WITH /home/test.jar AS test.jar;
+
+ADD FILE WITH /home/admin/sftp/dttest_cn/DsCenter_1687/krb5.conf;
+
+ADD FILE WITH /home/admin/sftp/dttest_cn/DsCenter_1687/krb5.conf AS krb5.conf;
+
+ADD FILE WITH /home/admin/sftp/dttest_cn/DsCenter_1687/krb5.conf RENAME test.conf;
+
+ADD PYTHON_FILES WITH /test.py RENAME test.py;
+
+ADD PYTHON_REQUIREMENTS WITH /requirements.txt RENAME requirements.txt;
+
+ADD PYTHON_DEPENDENCIES WITH /dependencies.txt RENAME dependencies.txt;
+
+ADD PYTHON_JAR WITH /python_jar.jar RENAME py_jar.jar;
+
+ADD PYTHON_PARAMETER my_parameter.py;
+
+ADD PYTHON_ARCHIVES WITH /archives.py RENAME archive.tx;
+
+ADD ENGINE FILE WITH /filePath RENAME theName KEY theKey;
+
+ADD CONFIG FILE WITH /config.ini FOR hiveConf as hadoop.cong.dir;
--- a/test/parser/flink/syntax/fixtures/explain.sql
+++ b/test/parser/flink/syntax/fixtures/explain.sql
@ -0,0 +1,15 @@
+EXPLAIN SELECT * FROM emps;
+
+EXPLAIN PLAN FOR SELECT * FROM emps;
+
+EXPLAIN PLAN FOR insert into emps1 SELECT * FROM emps2;
+
+EXPLAIN CHANGELOG_MODE SELECT * FROM emps;
+
+EXPLAIN ESTIMATED_COST SELECT * FROM emps;
+
+EXPLAIN JSON_EXECUTION_PLAN SELECT * FROM emps;
+
+EXPLAIN CHANGELOG_MODE, JSON_EXECUTION_PLAN, ESTIMATED_COST SELECT * FROM emps;
+
+EXPLAIN INSERT INTO EMPS1 SELECT * FROM EMPS2;
--- a/test/parser/flink/syntax/fixtures/expression.sql
+++ b/test/parser/flink/syntax/fixtures/expression.sql
@ -0,0 +1,8 @@
+SELECT FROM_UNIXTIME(t1.create_time / 1000, 'yyyyMMddHHmmss') AS create_time FROM t1;
+
+SELECT FROM_UNIXTIME(t1.create_time/1000, 'yyyyMMddHHmmss') AS create_time FROM t1;
+SELECT FROM_UNIXTIME(t1.create_time/1000 * 1, 'yyyyMMddHHmmss') AS create_time FROM t1;
+SELECT FROM_UNIXTIME(t1.create_time/1000 + 1, 'yyyyMMddHHmmss') AS create_time FROM t1;
+SELECT FROM_UNIXTIME(t1.create_time/1000 - 1, 'yyyyMMddHHmmss') AS create_time FROM t1;
+SELECT FROM_UNIXTIME(t1.create_time/1000 % 2, 'yyyyMMddHHmmss') AS create_time FROM t1;
+SELECT FROM_UNIXTIME(t1.create_time/1000 / 1, 'yyyyMMddHHmmss') AS create_time FROM t1;
--- a/test/parser/flink/syntax/fixtures/insertFromSelectQueries.sql
+++ b/test/parser/flink/syntax/fixtures/insertFromSelectQueries.sql
@ -0,0 +1,54 @@
+INSERT INTO country_page_view
+SELECT `user`,
+    cnt
+FROM page_view_source;
+
+INSERT INTO catalog1.db1.country_page_view
+SELECT `user`,
+    cnt
+FROM page_view_source;
+
+
+--- Execute InsertStatement
+EXECUTE
+INSERT INTO country_page_view PARTITION (`date` = '2019-8-30', country = 'China')
+SELECT `user`,
+    cnt
+FROM page_view_source;
+
+--- Partition Clause: Static Partition
+INSERT INTO country_page_view PARTITION (`date` = '2019-8-30', country = 'China')
+SELECT `user`,
+    cnt
+FROM page_view_source;
+
+--- Partition Clause:  Dynamic Partition
+INSERT INTO country_page_view PARTITION (`date` = '2019-8-30') 
+SELECT `user`,
+    cnt,
+    country
+FROM page_view_source;
+
+--- Column List Statement
+INSERT INTO country_page_view PARTITION (`date` = '2019-8-30', country = 'China') (`date`, country)
+SELECT `user`,
+    cnt
+FROM page_view_source;
+
+--- Insert Method: OverWrite
+INSERT OVERWRITE country_page_view PARTITION (`date` = '2019-8-30')
+SELECT `user`,
+    cnt,
+    country
+FROM page_view_source;
+
+--- Insert with function
+INSERT INTO hbase_table
+SELECT
+    st.id as rowKey,
+    ROW(id, name, age) as baseInfo
+FROM sourceTable st;
+
+
+
+
--- a/test/parser/flink/syntax/fixtures/insertMultipleTable.sql
+++ b/test/parser/flink/syntax/fixtures/insertMultipleTable.sql
@ -0,0 +1,22 @@
+-- FlinkSQL 1.16：insert multiple table statement 
+
+EXECUTE STATEMENT SET 
+BEGIN
+INSERT INTO country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
+INSERT INTO country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
+END;
+
+-- FlinkSQL 1.15：insert multiple table statement 
+
+BEGIN STATEMENT SET;
+INSERT INTO country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
+INSERT INTO country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
+END; 
--- a/test/parser/flink/syntax/fixtures/insertValuesIntoTable.sql
+++ b/test/parser/flink/syntax/fixtures/insertValuesIntoTable.sql
@ -0,0 +1,22 @@
+INSERT INTO country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
+
+EXECUTE 
+INSERT INTO country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
+
+EXECUTE
+INSERT OVERWRITE country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
+
+EXECUTE
+INSERT INTO country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+   ('Amercian', 'georage', 22);
+
+INSERT INTO catalog1.db1.country_page_view
+VALUES ('Chinese', 'mumiao', 18),
+    ('Amercian', 'georage', 22);
--- a/test/parser/flink/syntax/fixtures/select.sql
+++ b/test/parser/flink/syntax/fixtures/select.sql
@ -0,0 +1,19 @@
+SELECT * FROM Orders;
+
+SELECT order_id, price + tax FROM Orders;
+
+SELECT order_id, price FROM (VALUES (1, 2.0), (2, 3.1)) AS t (order_id, price);
+
+SELECT price + tax FROM Orders WHERE id = 10;
+
+SELECT * FROM person WHERE id = 200 OR id = 300;
+
+SELECT id, sum(quantity) FROM dealer GROUP BY id;
+
+SELECT PRETTY_PRINT(order_id) FROM Orders;
+
+SELECT * FROM Orders ORDER BY order_time, order_id;
+
+SELECT * FROM Orders ORDER BY orderTime LIMIT 3;
+
+SELECT * FROM catalog1.db1.table1;
--- a/test/parser/flink/syntax/fixtures/selectAggregation.sql
+++ b/test/parser/flink/syntax/fixtures/selectAggregation.sql
@ -0,0 +1,122 @@
+-- Window TVF Aggregation 
+SELECT 
+    window_start,
+    window_end,
+    supplier_id,
+    SUM(price) as price
+FROM TABLE(
+    TUMBLE(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '10' MINUTES))
+GROUP BY window_start, window_end, GROUPING SETS ((supplier_id), ());
+
+SELECT 
+    window_start,
+    window_end,
+    supplier_id,
+    SUM(price) as price
+FROM TABLE(
+    TUMBLE(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '10' MINUTES))
+GROUP BY window_start, window_end, ROLLUP (supplier_id);
+
+SELECT 
+    window_start, 
+    window_end, 
+    item, supplier_id,
+    SUM(price) as price
+FROM TABLE(
+    TUMBLE(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '10' MINUTES))
+GROUP BY window_start, window_end, CUBE (supplier_id, item);
+
+-- GROUPING SETS
+SELECT 
+    window_start,
+    window_end,
+    supplier_id,
+    SUM(price) as price
+FROM TABLE(
+    TUMBLE(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '10' MINUTES))
+GROUP BY 
+    window_start,
+    window_end,
+    GROUPING SETS ((supplier_id), ());
+
+SELECT 
+    window_start,
+    window_end,
+    supplier_id,
+    SUM(price) as price
+FROM TABLE(
+    TUMBLE(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '10' MINUTES))
+GROUP BY 
+    window_start,
+    window_end,
+    ROLLUP (supplier_id);
+
+SELECT
+    window_start,
+    window_end,
+    item,
+    supplier_id,
+    SUM(price) as price
+FROM TABLE(
+    TUMBLE(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '10' MINUTES))
+GROUP BY
+    window_start,
+    window_end,
+    CUBE (supplier_id, item);
+
+-- Group Window Aggregation
+SELECT
+    `user`,
+    TUMBLE_START(order_time, INTERVAL '1' DAY) AS wStart,
+    SUM(amount) FROM Orders
+GROUP BY
+    TUMBLE(order_time, INTERVAL '1' DAY),
+    `user`;
+
+SELECT
+    `user`,
+    TUMBLE_START(order_time, INTERVAL '1' DAY) AS wStart,
+    SUM(amount) FROM Orders
+GROUP BY
+    HOP(order_time, INTERVAL '1' DAY),
+    `user`;
+
+SELECT
+    `user`,
+    TUMBLE_START(order_time, INTERVAL '1' DAY) AS wStart,
+    SUM(amount) FROM Orders
+GROUP BY
+    SESSION(order_time, INTERVAL '1' DAY),
+    `user`;
+
+-- Having
+SELECT SUM(amount)
+FROM Orders
+GROUP BY `users`
+HAVING SUM(amount) > 50;
+
+-- Over Aggregation
+SELECT order_id, order_time, amount,
+    SUM(amount) OVER (
+        PARTITION BY product
+        ORDER BY order_time
+        RANGE BETWEEN INTERVAL '1' HOUR PRECEDING AND CURRENT ROW
+    ) AS one_hour_prod_amount_sum
+FROM Orders;
+
+SELECT product, order_time, amount,
+    SUM(amount) OVER (
+        PARTITION BY product
+        ORDER BY order_time
+        ROWS BETWEEN 5 PRECEDING AND CURRENT ROW
+    ) AS one_hour_prod_amount_sum
+FROM source_table;
+
+SELECT order_id, order_time, amount,
+    SUM(amount) OVER w AS sum_amount,
+    AVG(amount) OVER w AS avg_amount
+FROM Orders
+WINDOW w AS (
+    PARTITION BY product
+    ORDER BY order_time
+    RANGE BETWEEN INTERVAL '1' HOUR PRECEDING AND CURRENT ROW);
--- a/test/parser/flink/syntax/fixtures/selectDistinct.sql
+++ b/test/parser/flink/syntax/fixtures/selectDistinct.sql
@ -0,0 +1,7 @@
+SELECT DISTINCT order_id, price + tax FROM Orders;
+
+SELECT DISTINCT order_id, price FROM (VALUES (1, 2.0), (2, 3.1)) AS t (order_id, price);
+
+SELECT DISTINCT price + tax FROM Orders WHERE id = 10;
+
+SELECT DISTINCT PRETTY_PRINT(order_id) FROM Orders;
--- a/test/parser/flink/syntax/fixtures/selectJoin.sql
+++ b/test/parser/flink/syntax/fixtures/selectJoin.sql
@ -0,0 +1,128 @@
+-- INNER Equi-JOIN
+SELECT *
+FROM Orders
+INNER JOIN Product
+ON Orders.product_id = Product.id;
+
+-- OUTER Equi-JOIN 
+SELECT *
+FROM Orders
+LEFT JOIN Product
+ON Orders.product_id = Product.id;
+
+SELECT *
+FROM Orders
+RIGHT JOIN Product
+ON Orders.product_id = Product.id;
+
+SELECT *
+FROM Orders
+FULL OUTER JOIN Product
+ON Orders.product_id = Product.id;
+
+-- Interval Joins
+SELECT *
+FROM Orders o, Shipments s
+WHERE o.id = s.order_id
+AND o.order_time BETWEEN s.ship_time - INTERVAL '4' HOUR AND s.ship_time;
+
+SELECT *
+FROM Orders o, Shipments s
+WHERE o.id = s.order_id
+AND o.order_time = s.ship_time; -- ltime = rtime
+
+SELECT *
+FROM Orders o, Shipments s
+WHERE o.id = s.order_id
+AND o.order_time >= s.ship_time -- ltime >= rtime AND ltime < rtime + INTERVAL '10' MINUTE
+AND o.order_time < s.ship_time + INTERVAL '10' MINUTE; 
+
+-- Temporal Joins
+SELECT 
+     order_id,
+     price,
+     orders.currency,
+     conversion_rate,
+     order_time
+FROM orders
+LEFT JOIN currency_rates FOR SYSTEM_TIME AS OF orders.order_time
+ON orders.currency = currency_rates.currency;
+
+SELECT
+    o_amount, r_rate
+FROM
+    Orders,
+    LATERAL TABLE (Rates(o_proctime))
+WHERE
+    r_currency = o_currency;
+
+-- Lookup Join
+SELECT o.order_id, o.total, c.country, c.zip
+FROM Orders AS o
+    JOIN Customers FOR SYSTEM_TIME AS OF o.proc_time AS c
+        ON o.customer_id = c.id;
+
+-- Table Function INNER JOIN
+SELECT order_id, res
+FROM Orders,
+LATERAL TABLE(table_func(order_id)) t(res);
+
+-- Table Function LEFT OUTER JOIN 
+SELECT order_id, res
+FROM Orders
+LEFT OUTER JOIN LATERAL TABLE(table_func(order_id)) t(res)
+    ON TRUE;
+
+-- Cross Join
+SELECT order_id, tag
+FROM Orders CROSS JOIN UNNEST(tags) AS t (tag)
+
+-- FULL OUTER Window Join
+SELECT L.num as L_Num, L.id as L_Id, R.num as R_Num, R.id as R_Id,
+COALESCE(L.window_start, R.window_start) as window_start,
+COALESCE(L.window_end, R.window_end) as window_end
+FROM (
+    SELECT * FROM TABLE(TUMBLE(TABLE LeftTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+) L
+FULL JOIN (
+    SELECT * FROM TABLE(TUMBLE(TABLE RightTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+) R
+ON L.num = R.num AND L.window_start = R.window_start AND L.window_end = R.window_end;
+
+-- Semi Window Joins
+SELECT *
+FROM (
+    SELECT * FROM TABLE(TUMBLE(TABLE LeftTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+) L WHERE L.num IN (
+    SELECT num FROM (   
+        SELECT * FROM TABLE(TUMBLE(TABLE RightTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+    ) R WHERE L.window_start = R.window_start AND L.window_end = R.window_end
+);
+
+SELECT *
+FROM (
+    SELECT * FROM TABLE(TUMBLE(TABLE LeftTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+) L WHERE L.num IN (
+    SELECT num FROM (   
+        SELECT * FROM TABLE(TUMBLE(TABLE RightTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+    ) R WHERE L.window_start = R.window_start AND L.window_end = R.window_end
+);
+
+-- Anti Window Joins
+SELECT *
+FROM (
+    SELECT * FROM TABLE(TUMBLE(TABLE LeftTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+) L WHERE L.num NOT IN (
+    SELECT num FROM (   
+        SELECT * FROM TABLE(TUMBLE(TABLE RightTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+    ) R WHERE L.window_start = R.window_start AND L.window_end = R.window_end
+);
+
+SELECT *
+FROM (
+    SELECT * FROM TABLE(TUMBLE(TABLE LeftTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+) L WHERE NOT EXISTS (
+    SELECT * FROM (
+        SELECT * FROM TABLE(TUMBLE(TABLE RightTable, DESCRIPTOR(row_time), INTERVAL '5' MINUTES))
+    ) R WHERE L.num = R.num AND L.window_start = R.window_start AND L.window_end = R.window_end
+);
--- a/test/parser/flink/syntax/fixtures/selectPatternRecognition.sql
+++ b/test/parser/flink/syntax/fixtures/selectPatternRecognition.sql
@ -0,0 +1,165 @@
+-- basic pattern recognition
+SELECT T.aid, T.bid, T.cid
+FROM MyTable
+    MATCH_RECOGNIZE (
+        PARTITION BY userid
+        ORDER BY proctime
+        MEASURES
+            A.id AS aid,
+            B.id AS bid,
+            C.id AS cid
+        PATTERN (A B C)
+        DEFINE
+            A AS name = 'a',
+            B AS name = 'b',
+            C AS name = 'c'
+    ) AS T;
+
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE (
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            START_ROW.rowtime AS start_tstamp,
+            _LAST(PRICE_DOWN.rowtime) AS bottom_tstamp,
+            _LAST(PRICE_UP.rowtime) AS end_tstamp
+        ONE ROW PER MATCH
+        AFTER MATCH SKIP TO LAST PRICE_UP
+        PATTERN (START_ROW PRICE_DOWN+ PRICE_UP)
+        DEFINE
+            PRICE_DOWN AS
+                (_LAST(PRICE_DOWN.price, 1) IS NULL AND PRICE_DOWN.price < START_ROW.price) OR
+                    PRICE_DOWN.price < _LAST(PRICE_DOWN.price, 1),
+            PRICE_UP AS
+                PRICE_UP.price > _LAST(PRICE_DOWN.price, 1)
+    ) MR;
+
+-- Measures Aggregations
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE (
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            FIRST(A.rowtime) AS start_tstamp,
+            _LAST(A.rowtime) AS end_tstamp,
+            AVG(A.price) AS avgPrice
+        ONE ROW PER MATCH
+        AFTER MATCH SKIP PAST LAST ROW
+        PATTERN (A+ B)
+        DEFINE
+            A AS AVG(A.price) < 15
+    ) MR;
+
+-- Define a Pattern
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE(
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            C.price AS lastPrice
+        ONE ROW PER MATCH
+        AFTER MATCH SKIP PAST LAST ROW
+        PATTERN (A+ B* C? D{1,} E{,5} F{1,5})
+        DEFINE
+            A AS A.price > 10,
+            B AS B.price < 15,
+            C AS C.price > 12
+    );
+
+-- Time constraint
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE(
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            C.rowtime AS dropTime,
+            A.price - C.price AS dropDiff
+        ONE ROW PER MATCH
+        AFTER MATCH SKIP PAST LAST ROW
+        PATTERN (A B* C) WITHIN INTERVAL '1' HOUR
+        DEFINE
+            B AS B.price > A.price - 10,
+            C AS C.price < A.price - 10
+    );
+
+-- Output Mode
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE(
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            FIRST(A.price) AS startPrice,
+            _LAST(A.price) AS topPrice,
+            B.price AS lastPrice
+        ONE ROW PER MATCH
+        PATTERN (A+ B)
+        DEFINE
+            A AS _LAST(A.price, 1) IS NULL OR A.price > _LAST(A.price, 1),
+            B AS B.price < _LAST(A.price)
+    );
+
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE(
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            FIRST(A.price) AS startPrice,
+            _LAST(A.price) AS topPrice,
+            B.price AS lastPrice
+        ALL ROWS PER MATCH
+        PATTERN (A+ B)
+        DEFINE
+            A AS _LAST(A.price, 1) IS NULL OR A.price > _LAST(A.price, 1),
+            B AS B.price < _LAST(A.price)
+    );
+
+-- After Match Strategy
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE (
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            FIRST(A.rowtime) AS start_tstamp
+        ONE ROW PER MATCH
+        AFTER MATCH SKIP TO NEXT ROW
+        PATTERN (A+ B)
+        DEFINE
+            A AS AVG(A.price) < 15
+    ) MR;
+
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE (
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            FIRST(A.rowtime) AS start_tstamp
+        ONE ROW PER MATCH
+        AFTER MATCH SKIP TO LAST A
+        PATTERN (A+ B)
+        DEFINE
+            A AS AVG(A.price) < 15
+    ) MR;
+
+SELECT *
+FROM Ticker
+    MATCH_RECOGNIZE (
+        PARTITION BY symbol
+        ORDER BY rowtime
+        MEASURES
+            FIRST(A.rowtime) AS start_tstamp
+        ONE ROW PER MATCH
+        AFTER MATCH SKIP TO FIRST A
+        PATTERN (A+ B)
+        DEFINE
+            A AS AVG(A.price) < 15
+    ) MR;
+
+    
--- a/test/parser/flink/syntax/fixtures/selectSetOperations.sql
+++ b/test/parser/flink/syntax/fixtures/selectSetOperations.sql
@ -0,0 +1,28 @@
+-- UNION
+(SELECT s FROM t1) UNION (SELECT s FROM t2);
+
+(SELECT s FROM t1) UNION ALL (SELECT s FROM t2);
+
+-- INTERSECT
+(SELECT s FROM t1) INTERSECT (SELECT s FROM t2);
+
+(SELECT s FROM t1) INTERSECT ALL (SELECT s FROM t2);
+
+-- EXPECT
+(SELECT s FROM t1) EXCEPT (SELECT s FROM t2);
+
+(SELECT s FROM t1) EXCEPT ALL (SELECT s FROM t2);
+
+-- IN
+SELECT user, amount
+FROM Orders
+WHERE product IN (
+    SELECT product FROM NewProducts
+)
+
+-- EXISTS
+SELECT user, amount
+FROM Orders
+WHERE product EXISTS (
+    SELECT product FROM NewProducts
+)
--- a/test/parser/flink/syntax/fixtures/selectWhere.sql
+++ b/test/parser/flink/syntax/fixtures/selectWhere.sql
@ -0,0 +1,27 @@
+SELECT id, age FROM table1 WHERE age IS NOT NULL;
+
+SELECT id, age FROM table1 WHERE age IS NOT DISTINCT FROM 12;
+
+SELECT id, age FROM table1 WHERE age BETWEEN SYMMETRIC 25 AND 18;
+
+SELECT id, age FROM table1 WHERE age NOT LIKE "%aa_d%" ESCAPE "a";
+
+SELECT addr FROM table1 WHERE addr NOT SIMILAR TO '%(123|yz)%' ESCAPE "y";
+
+SELECT id, age FROM table1 WHERE age NOT IN (18,19,20);
+
+SELECT id FROM table1 WHERE id NOT IN ( SELECT * FROM table2 );
+
+SELECT S,SNAME
+FROM S
+WHERE NOT EXISTS
+    (SELECT *
+    FROM C
+   	WHERE NOT EXISTS
+        (SELECT *
+        FROM SC
+        WHERE SC.S=S.S AND SC.C=C.C));
+
+SELECT id, age FROM table1 WHERE age > 18 OR id = 1;
+
+SELECT id, age FROM table1 WHERE age > 18 AND id > 10;
--- a/test/parser/flink/syntax/fixtures/selectWindowTVF.sql
+++ b/test/parser/flink/syntax/fixtures/selectWindowTVF.sql
@ -0,0 +1,52 @@
+SELECT * FROM TABLE(
+    TUMBLE(
+        DATA => TABLE Bid,
+        TIMECOL => DESCRIPTOR(bidtime),
+        SIZE => INTERVAL '10' MINUTES
+    )
+);
+
+SELECT window_start,
+    window_end,
+    SUM(price)
+FROM TABLE(
+    TUMBLE(
+        TABLE Bid, 
+        DESCRIPTOR(bidtime), 
+        INTERVAL '10' MINUTES
+    )
+)
+GROUP BY window_start, window_end;
+
+SELECT * FROM TABLE(
+    HOP(TABLE Bid, DESCRIPTOR(bidtime), INTERVAL '5' MINUTES, INTERVAL '10' MINUTES));
+
+SELECT * FROM TABLE(
+    HOP(
+        DATA => TABLE Bid,
+        TIMECOL => DESCRIPTOR(bidtime),
+        SLIDE => INTERVAL '5' MINUTES,
+        SIZE => INTERVAL '10' MINUTES
+    )
+);
+
+SELECT * FROM TABLE(
+    CUMULATE(
+        DATA => TABLE Bid,
+        TIMECOL => DESCRIPTOR(bidtime),
+        STEP => INTERVAL '2' MINUTES,
+        SIZE => INTERVAL '10' MINUTES
+    )
+);
+
+SELECT window_start,
+    window_end,
+    SUM(price)
+FROM TABLE(
+    CUMULATE(
+        TABLE Bid,
+        DESCRIPTOR(bidtime),
+        INTERVAL '2' MINUTES,
+        INTERVAL '10' MINUTES
+    ))
+GROUP BY window_start, window_end;
--- a/test/parser/flink/syntax/fixtures/selectWithClause.sql
+++ b/test/parser/flink/syntax/fixtures/selectWithClause.sql
@ -0,0 +1,7 @@
+WITH orders_with_total AS (
+    SELECT order_id, price + tax AS total
+    FROM Orders
+)
+SELECT order_id, SUM(total)
+FROM orders_with_total
+GROUP BY order_id;
--- a/test/parser/flink/syntax/fixtures/show.sql
+++ b/test/parser/flink/syntax/fixtures/show.sql
@ -0,0 +1,29 @@
+SHOW CATALOGS;
+
+SHOW CURRENT CATALOG;
+
+SHOW DATABASES;
+
+SHOW CURRENT DATABASE;
+
+SHOW TABLES;
+
+SHOW TABLES FROM catalog1.db1 NOT LIKE '%';
+
+SHOW CREATE TABLE my_table;
+
+SHOW COLUMNS FROM my_table LIKE '%f%';
+
+SHOW VIEWS;
+
+SHOW CREATE VIEW my_view;
+
+SHOW FUNCTIONS;
+
+SHOW USER FUNCTIONS;
+
+SHOW MODULES;
+
+SHOW FULL MODULES;
+
+SHOW JARS;
--- a/test/parser/flink/syntax/fixtures/templates.sql
+++ b/test/parser/flink/syntax/fixtures/templates.sql
@ -0,0 +1,884 @@
+--********************************************************************--
+-- Flink SQL 快速入门示例 创建表
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+-- 执行创建临时表 DDL，不需要指定catalog.database
+CREATE TABLE orders (
+    order_uid  BIGINT,
+    product_id BIGINT,
+    price      DECIMAL(32, 2),
+    order_time TIMESTAMP(3)
+) WITH (
+    'connector' = 'datagen'
+);
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 INSERT INTO
+--********************************************************************--
+-- 定义数据源表
+CREATE TABLE server_logs (
+    client_ip STRING,
+    client_identity STRING,
+    userid STRING,
+    user_agent STRING,
+    log_time TIMESTAMP(3),
+    request_line STRING,
+    status_code STRING,
+    size INT
+) WITH (
+    'connector' = 'faker',   
+    'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
+    'fields.client_identity.expression' =  '-',
+    'fields.userid.expression' =  '-',
+    'fields.user_agent.expression' = '#{Internet.userAgentAny}',
+    'fields.log_time.expression' =  '#{date.past ''15'',''5'',''SECONDS''}',
+    'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search\.html|/login\.html|/prod\.html|cart\.html|/order\.html){1}''} #{regexify ''(HTTP/1\.1|HTTP/2|/HTTP/1\.0){1}''}',
+    'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}',
+    'fields.size.expression' = '#{number.numberBetween ''100'',''10000000''}'
+);
+
+-- 定义结果表，实际应用中会选择 Kafka、JDBC 等作为结果表
+CREATE TABLE client_errors (
+    log_time TIMESTAMP(3),
+    request_line STRING,
+    status_code STRING,
+    size INT
+) WITH (
+    'connector' = 'stream-x'
+);
+
+-- 写入数据到结果表
+INSERT INTO client_errors
+    SELECT
+       log_time,
+       request_line,
+       status_code,
+       size
+    FROM server_logs
+    WHERE
+       status_code SIMILAR TO '4[0-9][0-9]';
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 Statement Set
+--********************************************************************--
+-- 定义数据源表
+CREATE TABLE server_logs (
+    client_ip       STRING,
+    client_identity STRING,
+    userid          STRING,
+    user_agent      STRING,
+    log_time        TIMESTAMP(3),
+    request_line    STRING,
+    status_code     STRING,
+    size            INT,
+    WATERMARK FOR log_time AS log_time - INTERVAL '30' SECONDS
+) WITH (
+    'connector' = 'faker',    -- Faker 连接器仅在 VVR-4.0.12 及以上支持
+    'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
+    'fields.client_identity.expression' =  '-',
+    'fields.userid.expression' =  '-',
+    'fields.user_agent.expression' = '#{Internet.userAgentAny}',
+    'fields.log_time.expression' =  '#{date.past ''15'',''5'',''SECONDS''}',
+    'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search\.html|/login\.html|/prod\.html|cart\.html|/order\.html){1}''} #{regexify ''(HTTP/1\.1|HTTP/2|/HTTP/1\.0){1}''}',
+    'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}',
+    'fields.size.expression' = '#{number.numberBetween ''100'',''10000000''}'
+);
+
+-- 定义结果表1
+CREATE TABLE aggregations1 (
+    `browser`     STRING,
+    `status_code` STRING,
+    `end_time`    TIMESTAMP(3),
+    `requests`    BIGINT NOT NULL
+) WITH (
+    'connector' = 'blackhole'
+);
+
+-- 定义结果表2
+CREATE TABLE aggregations2 (
+    `browser`     STRING,
+    `status_code` STRING,
+    `requests`    BIGINT NOT NULL
+) WITH (
+       'connector' = 'stream-x'
+);
+
+-- This is a shared view that will be used by both insert into statements
+CREATE VIEW browsers AS 
+    SELECT
+        REGEXP_EXTRACT(user_agent,'[^\/]+') AS browser,
+        status_code,
+        log_time
+    FROM server_logs;
+
+-- 封装多个INSERT INTO语句到一个STATEMENT SET语句中
+BEGIN STATEMENT SET;
+-- 5min窗口粒度聚合
+INSERT INTO aggregations1
+    SELECT
+        browser,
+        status_code,
+        TUMBLE_ROWTIME(log_time, INTERVAL '5' MINUTE) AS end_time,
+        COUNT(*) requests
+FROM browsers
+GROUP BY
+    browser,
+    status_code,
+    TUMBLE(log_time, INTERVAL '5' MINUTE);
+-- 1h窗口粒度聚合
+INSERT INTO aggregations2
+    SELECT
+        browser,
+        status_code,
+        COUNT(*) requests
+    FROM browsers
+    GROUP BY
+        browser,
+        status_code,
+        TUMBLE(log_time, INTERVAL '1' HOUR);
+END;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 Watermark
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.doctor_sightings (
+    doctor        STRING,
+    sighting_time TIMESTAMP(3),
+    -- 通过watermark把sighting_time标识为事件时间，定义最大的乱序时间：期望所有的记录在目击发生后的15秒内都到达。
+    WATERMARK FOR sighting_time AS sighting_time - INTERVAL '15' SECONDS
+) WITH (
+    'connector' = 'faker',   
+    'fields.doctor.expression' = '#{dr_who.the_doctors}',
+    'fields.sighting_time.expression' = '#{date.past ''15'',''SECONDS''}'
+);
+
+SELECT
+    doctor,
+    -- 在滚动窗口中使用sighting_time字段
+    TUMBLE_ROWTIME(sighting_time, INTERVAL '1' MINUTE) AS sighting_time,
+    COUNT(*) AS sightings
+FROM dt_catalog.dt_db.doctor_sightings
+GROUP BY
+    TUMBLE(sighting_time, INTERVAL '1' MINUTE),
+    doctor;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 GROUP BY
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+-- 定义数据源表
+CREATE TABLE dt_catalog.dt_db.server_logs (
+    client_ip STRING,
+    client_identity STRING,
+    userid STRING,
+    user_agent STRING,
+    log_time TIMESTAMP(3),
+    request_line STRING,
+    status_code STRING,
+    size INT
+) WITH (
+    'connector' = 'faker',   
+    'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
+    'fields.client_identity.expression' =  '-',
+    'fields.userid.expression' =  '-',
+    'fields.user_agent.expression' = '#{Internet.userAgentAny}',
+    'fields.log_time.expression' =  '#{date.past ''15'',''5'',''SECONDS''}',
+    'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search\.html|/login\.html|/prod\.html|cart\.html|/order\.html){1}''} #{regexify ''(HTTP/1\.1|HTTP/2|/HTTP/1\.0){1}''}',
+    'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}',
+    'fields.size.expression' = '#{number.numberBetween ''100'',''10000000''}'
+);
+
+-- 采样user_agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/7046A194A
+-- 正则表达式: '[^\/]+' (匹配 '/' 之前的所有字符)
+SELECT
+    REGEXP_EXTRACT(user_agent,'[^\/]+') AS browser,
+    status_code,
+    COUNT(*) AS cnt_status
+FROM dt_catalog.dt_db.server_logs
+-- 按浏览器和状态码两个维度统计日志数量
+GROUP BY
+    REGEXP_EXTRACT(user_agent,'[^\/]+'),
+    status_code;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 滚动窗口聚合
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.server_logs (
+    client_ip STRING,
+    client_identity STRING,
+    userid STRING,
+    request_line STRING,
+    status_code STRING,
+    log_time AS PROCTIME() -- 使用当前系统处理时间作为表的时间字段
+) WITH (
+    'connector' = 'faker',  
+    'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
+    'fields.client_identity.expression' =  '-',
+    'fields.userid.expression' =  '-',
+    'fields.log_time.expression' =  '#{date.past ''15'',''5'',''SECONDS''}',
+    'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search\.html|/login\.html|/prod\.html|cart\.html|/order\.html){1}''} #{regexify ''(HTTP/1\.1|HTTP/2|/HTTP/1\.0){1}''}',
+    'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}'
+);
+
+-- 按 window_start, window_end 维度计算每分钟窗口上不同的 ip 数量
+SELECT window_start, window_end, COUNT(DISTINCT client_ip) AS ip_addresses
+    FROM TABLE(
+        -- 定义1min滑动窗口
+        TUMBLE(TABLE dt_catalog.dt_db.server_logs, DESCRIPTOR(log_time), INTERVAL '1' MINUTE))
+    GROUP BY window_start, window_end;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 滑动窗口聚合
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.bids (
+    bid_id STRING,
+    currency_code STRING,
+    bid_price DOUBLE,
+    transaction_time TIMESTAMP(3),
+    WATERMARK FOR transaction_time AS transaction_time - INTERVAL '5' SECONDS  -- 定义事件时间，允许的最大窗口延迟为5s
+) WITH (
+    'connector' = 'faker',   
+    'fields.bid_id.expression' = '#{Internet.UUID}',
+    'fields.currency_code.expression' = '#{regexify ''(EUR|USD|CNY)''}',
+    'fields.bid_price.expression' = '#{Number.randomDouble ''2'',''1'',''150''}',
+    'fields.transaction_time.expression' = '#{date.past ''30'',''SECONDS''}',
+    'rows-per-second' = '100'
+);
+
+-- 定义1min 的滑动窗口，每隔 30s 滚动一次
+SELECT window_start, window_end, currency_code, ROUND(AVG(bid_price),2) AS MovingAverageBidPrice
+    FROM TABLE(
+        HOP(TABLE dt_catalog.dt_db.bids, DESCRIPTOR(transaction_time), INTERVAL '30' SECONDS, INTERVAL '1' MINUTE))
+    GROUP BY window_start, window_end, currency_code;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 累计窗口聚合
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+-- 商品销售订单表
+CREATE TABLE dt_catalog.dt_db.orders (
+    order_id    BIGINT, -- 订单ID
+    goods_id    BIGINT, -- 商品ID
+    goods_sales DOUBLE, -- 商品销售额
+    order_time  TIMESTAMP(3), -- 下单时间
+    WATERMARK FOR order_time AS order_time - INTERVAL '5' SECONDS  -- 定义事件时间，允许的最大窗口延迟为5s
+) WITH (
+    'connector' = 'faker',   
+    'fields.order_id.expression' = '#{number.numberBetween ''0'',''1000000000''}',
+    'fields.goods_id.expression' = '#{number.numberBetween ''0'',''1000000000''}',
+    'fields.goods_sales.expression' = '#{Number.randomDouble ''2'',''1'',''150''}',
+    'fields.order_time.expression' = '#{date.past ''30'',''SECONDS''}',
+    'rows-per-second' = '100'
+);
+
+-- 每分钟更新一次从零点开始截止到当前时刻的累计销售额
+SELECT
+    window_start,
+    window_end, 
+    SUM(goods_sales) AS cumulate_gmv -- 当天累计销售额
+FROM TABLE(
+    -- 定义窗口最大长度为一天的累计窗口，窗口滚动步长为1分钟
+    CUMULATE(
+        TABLE dt_catalog.dt_db.orders,
+        DESCRIPTOR(order_time),
+        INTERVAL '1' MINUTES,
+        INTERVAL '1' DAY))
+GROUP BY window_start, window_end;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 会话窗口聚合
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.server_logs (
+    client_ip STRING,
+    client_identity STRING,
+    userid STRING,
+    log_time TIMESTAMP(3),
+    request_line STRING,
+    status_code STRING,
+    WATERMARK FOR log_time AS log_time - INTERVAL '5' SECONDS -- 定义 watermark
+) WITH (
+    'connector' = 'faker',  
+    'rows-per-second' = '5',
+    'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
+    'fields.client_identity.expression' =  '-',
+    'fields.userid.expression' =  '#{regexify ''(morsapaes|knauf|sjwiesman){1}''}',
+    'fields.log_time.expression' =  '#{date.past ''5'',''SECONDS''}',
+    'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search\.html|/login\.html|/prod\.html|cart\.html|/order\.html){1}''} #{regexify ''(HTTP/1\.1|HTTP/2|/HTTP/1\.0){1}''}',
+    'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}'
+);
+
+SELECT 
+    userid,
+    SESSION_START(log_time, INTERVAL '10' SECOND) AS session_beg,
+    SESSION_ROWTIME(log_time, INTERVAL '10' SECOND) AS session_end,
+    COUNT(request_line) AS request_cnt
+FROM dt_catalog.dt_db.server_logs
+    WHERE status_code = '403'
+    GROUP BY
+        userid,
+    -- 会话窗口的最大空闲间隔为10s，当10s内该窗口没有接收到新的请求，会关闭当前窗口
+    SESSION(log_time, INTERVAL '10' SECOND);
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 OVER窗口聚合
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.temperature_measurements (
+    measurement_time TIMESTAMP(3),
+    city STRING,
+    temperature FLOAT,
+    WATERMARK FOR measurement_time AS measurement_time - INTERVAL '15' SECONDS -- 定义时间属性字段，OVER窗口排序时使用
+) WITH (
+    'connector' = 'faker',    -- Faker 连接器仅在 VVR-4.0.12 及以上支持
+    'fields.measurement_time.expression' = '#{date.past ''15'',''SECONDS''}',
+    'fields.temperature.expression' = '#{number.numberBetween ''0'',''50''}',
+    'fields.city.expression' = '#{regexify ''(Chicago|Munich|Berlin|Portland|Hangzhou|Seatle|Beijing|New York){1}''}'
+);
+
+SELECT
+    measurement_time,
+    city,
+    temperature,
+    AVG(CAST(temperature AS FLOAT)) OVER last_minute AS avg_temperature_minute, -- 计算平均值
+    MAX(temperature) OVER last_minute AS min_temperature_minute, -- 计算最大值
+    MIN(temperature) OVER last_minute AS max_temperature_minute, -- 计算最小值
+    STDDEV(CAST(temperature AS FLOAT)) OVER last_minute AS stdev_temperature_minute -- 计算标准差
+FROM dt_catalog.dt_db.temperature_measurements
+    WINDOW last_minute AS ( -- 定义1min时间间隔的OVER窗口，按城市粒度分区，温度测量值排序，每个元素都会触发一次计算
+        PARTITION BY city
+        ORDER BY measurement_time
+        RANGE BETWEEN INTERVAL '1' MINUTE PRECEDING AND CURRENT ROW
+    );
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 级联窗口聚合
+--********************************************************************--
+CREATE TEMPORARY TABLE server_logs (
+    log_time TIMESTAMP(3),
+    client_ip STRING,
+    client_identity STRING,
+    userid STRING,
+    request_line STRING,
+    status_code STRING,
+    size INT,
+    WATERMARK FOR log_time AS log_time - INTERVAL '15' SECONDS -- 定义watermark
+) WITH (
+    'connector' = 'faker',   
+    'fields.log_time.expression' =  '#{date.past ''15'',''5'',''SECONDS''}',
+    'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
+    'fields.client_identity.expression' =  '-',
+    'fields.userid.expression' =  '-',
+    'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search\.html|/login\.html|/prod\.html|cart\.html|/order\.html){1}''} #{regexify ''(HTTP/1\.1|HTTP/2|/HTTP/1\.0){1}''}',
+    'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}',
+    'fields.size.expression' = '#{number.numberBetween ''100'',''10000000''}'
+);
+
+-- 1min聚合结果表
+CREATE TEMPORARY TABLE avg_request_size_1m (
+    window_start TIMESTAMP(3),
+    window_end TIMESTAMP(3),
+    avg_size BIGINT
+) WITH (
+    'connector' = 'blackhole'
+);
+
+-- 5min聚合结果表
+CREATE TEMPORARY TABLE avg_request_size_5m (
+    window_start TIMESTAMP(3),
+    window_end TIMESTAMP(3),
+    avg_size BIGINT
+) WITH (
+    'connector' = 'blackhole'
+);
+
+-- 1min窗口查询结果
+CREATE VIEW server_logs_window_1m AS
+SELECT 
+    TUMBLE_START(log_time, INTERVAL '1' MINUTE) AS window_start,
+    TUMBLE_ROWTIME(log_time, INTERVAL '1' MINUTE) AS window_end,
+    SUM(size) AS total_size,
+    COUNT(*) AS num_requests
+FROM server_logs
+    GROUP BY
+    TUMBLE(log_time, INTERVAL '1' MINUTE);
+
+-- 基于1min窗口查询结果，进行5min粒度窗口聚合
+CREATE VIEW server_logs_window_5m AS
+SELECT
+    TUMBLE_START(window_end, INTERVAL '5' MINUTE) AS window_start,
+    TUMBLE_ROWTIME(window_end, INTERVAL '5' MINUTE) AS window_end,
+    SUM(total_size) AS total_size,
+    SUM(num_requests) AS num_requests
+FROM server_logs_window_1m
+    GROUP BY
+    TUMBLE(window_end, INTERVAL '5' MINUTE);
+
+BEGIN STATEMENT SET;
+-- 写入结果到1min窗口粒度结果表
+INSERT INTO avg_request_size_1m SELECT
+    window_start,
+    window_end,
+    total_size/num_requests AS avg_size
+FROM server_logs_window_1m;
+
+-- 写入结果到5min窗口粒度结果表
+INSERT INTO avg_request_size_5m SELECT
+    window_start,
+    window_end,
+    total_size/num_requests AS avg_size
+FROM server_logs_window_5m;
+END;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 去重
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.orders (
+  id INT,
+  order_time AS CURRENT_TIMESTAMP,
+  WATERMARK FOR order_time AS order_time - INTERVAL '5' SECONDS
+)
+WITH (
+  'connector' = 'datagen',
+  'rows-per-second'='10',
+  'fields.id.kind'='random',
+  'fields.id.min'='1',
+  'fields.id.max'='100'
+);
+
+-- 对于每个order_id，按事件时间去重，只保留最新时间的记录即可实现去重
+SELECT
+  order_id,
+  order_time
+FROM (
+    SELECT id AS order_id,
+        order_time,
+                -- 按事件时间升序排序
+        ROW_NUMBER() OVER (PARTITION BY id ORDER BY order_time) AS rownum
+    FROM dt_catalog.dt_db.orders)
+WHERE rownum = 1; -- 只取排名第一的记录，去重是Top-N的一种特例
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 Top-N
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.spells_cast (
+    wizard STRING,
+    spell  STRING
+) WITH (
+  'connector' = 'faker',   
+  'fields.wizard.expression' = '#{harry_potter.characters}',
+  'fields.spell.expression' = '#{harry_potter.spells}'
+);
+
+-- 找出每个巫师最喜欢的两个法术
+SELECT wizard, spell, times_cast
+FROM (
+    SELECT *,
+    ROW_NUMBER() OVER (PARTITION BY wizard ORDER BY times_cast DESC) AS row_num -- 按法术次数降序排序
+    FROM (SELECT wizard, spell, COUNT(*) AS times_cast FROM dt_catalog.dt_db.spells_cast GROUP BY wizard, spell) -- 计算每个巫师施展的各种法术的次数
+)
+WHERE row_num <= 2;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 窗口Top-N
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.orders (
+    bidtime TIMESTAMP(3),
+    price DOUBLE,
+    item STRING,
+    supplier STRING,
+    WATERMARK FOR bidtime AS bidtime - INTERVAL '5' SECONDS  -- 定义watermark
+) WITH (
+    'connector' = 'faker',  
+    'fields.bidtime.expression' = '#{date.past ''30'',''SECONDS''}',
+    'fields.price.expression' = '#{Number.randomDouble ''2'',''1'',''150''}',
+    'fields.item.expression' = '#{Commerce.productName}',
+    'fields.supplier.expression' = '#{regexify ''(Alice|Bob|Carol|Alex|Joe|James|Jane|Jack)''}',
+    'rows-per-second' = '100'
+);
+
+-- 取出销售排名前三的供应商
+SELECT *
+    FROM (
+        -- 按窗口时间分区，按价格降序排序
+        SELECT *, ROW_NUMBER() OVER (PARTITION BY window_start, window_end ORDER BY price DESC) AS rownum
+        FROM (
+            -- 计算每个窗口内各个供应商的销售额
+            SELECT window_start, window_end, supplier, SUM(price) AS price, COUNT(*) AS cnt
+            FROM TABLE(
+                TUMBLE(TABLE dt_catalog.dt_db.orders, DESCRIPTOR(bidtime), INTERVAL '10' MINUTES))
+            GROUP BY window_start, window_end, supplier
+        )
+    ) 
+WHERE rownum <= 3;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 模式检测CEP
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.subscriptions (
+    id STRING,
+    user_id INT,
+    type STRING,
+    start_date TIMESTAMP(3),
+    end_date TIMESTAMP(3),
+    payment_expiration TIMESTAMP(3),
+    proc_time AS PROCTIME()
+) WITH (
+    'connector' = 'faker',   
+    'fields.id.expression' = '#{Internet.uuid}',
+    'fields.user_id.expression' = '#{number.numberBetween ''1'',''50''}',
+    'fields.type.expression'= '#{regexify ''(basic|premium|platinum){1}''}',
+    'fields.start_date.expression' = '#{date.past ''30'',''DAYS''}',
+    'fields.end_date.expression' = '#{date.future ''15'',''DAYS''}',
+    'fields.payment_expiration.expression' = '#{date.future ''365'',''DAYS''}'
+);
+
+SELECT *
+FROM dt_catalog.dt_db.subscriptions
+    MATCH_RECOGNIZE ( -- 按user_id分区，按处理时间proc_time升序排序
+        PARTITION BY user_id
+        ORDER BY proc_time
+        MEASURES
+            LAST(PREMIUM.type) AS premium_type,
+            AVG(TIMESTAMPDIFF(DAY,PREMIUM.start_date,PREMIUM.end_date)) AS premium_avg_duration,
+            BASIC.start_date AS downgrade_date
+        AFTER MATCH SKIP PAST LAST ROW
+        --模式: 一个或多个‘premium‘或’platinum‘订阅事件
+        --对于相同的'user_id'，后面跟着一个'basic'订阅事件
+        PATTERN (PREMIUM+ BASIC)
+        DEFINE PREMIUM AS PREMIUM.type IN ('premium','platinum'),
+            BASIC AS BASIC.type = 'basic');
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 Regular Join
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.NOC (
+    agent_id STRING,
+    codename STRING
+) WITH (
+    'connector' = 'faker',   
+    'fields.agent_id.expression' = '#{regexify ''(1|2|3|4|5){1}''}',
+    'fields.codename.expression' = '#{superhero.name}',
+    'number-of-rows' = '10'
+);
+
+CREATE TABLE dt_catalog.dt_db.RealNames (
+    agent_id STRING,
+    name STRING
+) WITH (
+    'connector' = 'faker',   
+    'fields.agent_id.expression' = '#{regexify ''(1|2|3|4|5){1}''}',
+    'fields.name.expression' = '#{Name.full_name}',
+    'number-of-rows' = '10'
+);
+
+-- 使用agent_id作为两张表关联的条件，左右两边任何一张表来了新数据都会触发join动作
+SELECT
+    name,
+    codename
+FROM dt_catalog.dt_db.NOC t1
+INNER JOIN dt_catalog.dt_db.RealNames t2 ON t1.agent_id = t2.agent_id;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 Interval Join
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.orders (
+    id INT,
+    order_time AS TIMESTAMPADD(DAY, CAST(FLOOR(RAND()*(1-5+1)+5)*(-1) AS INT), CURRENT_TIMESTAMP)
+) WITH (
+    'connector' = 'datagen',
+    'rows-per-second'='10',
+    'fields.id.kind'='sequence',
+    'fields.id.start'='1',
+    'fields.id.end'='1000'
+);
+
+CREATE TABLE dt_catalog.dt_db.shipments (
+    id INT,
+    order_id INT,
+    shipment_time AS TIMESTAMPADD(DAY, CAST(FLOOR(RAND()*(1-5+1)) AS INT), CURRENT_TIMESTAMP)
+) WITH (
+    'connector' = 'datagen',
+    'rows-per-second'='5',
+    'fields.id.kind'='random',
+    'fields.id.min'='0',
+    'fields.order_id.kind'='sequence',
+    'fields.order_id.start'='1',
+    'fields.order_id.end'='1000'
+);
+
+-- order表的每条数据会与shipments表过去三天至当前时刻时间范围内的数据进行join
+SELECT
+    o.id AS order_id,
+    o.order_time,
+    s.shipment_time,
+    TIMESTAMPDIFF(DAY,o.order_time,s.shipment_time) AS day_diff
+FROM dt_catalog.dt_db.orders o
+    JOIN dt_catalog.dt_db.shipments s ON o.id = s.order_id
+WHERE
+    -- 时间 join 条件：shipments.shipment_time - INTERVAL '3' DAY <= orders.order_time < shipments.shipment_time
+    o.order_time BETWEEN s.shipment_time - INTERVAL '3' DAY AND s.shipment_time;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 时态表Join
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+-- 使用主键约束和watermark来定义一张版本表，这张表可以是一个cdc表、upsert类型的kafka topic等
+CREATE TABLE dt_catalog.dt_db.currency_rates (
+    `currency_code` STRING,
+    `eur_rate` DECIMAL(6,4),
+    `rate_time` TIMESTAMP(3),
+    WATERMARK FOR `rate_time` AS rate_time - INTERVAL '15' SECONDS, -- 定义事件时间
+    PRIMARY KEY (currency_code) NOT ENFORCED -- 定义主键
+) WITH (
+    'connector' = 'faker',   
+    'fields.currency_code.expression' = '#{Currency.code}',
+    'fields.eur_rate.expression' = '#{Number.randomDouble ''4'',''0'',''10''}',
+    'fields.rate_time.expression' = '#{date.past ''15'',''SECONDS''}',
+    'rows-per-second' = '100'
+);
+
+-- 这是一个append-only类型的动态表，需要定义watermk
+CREATE TABLE dt_catalog.dt_db.transactions (
+    `id` STRING,
+    `currency_code` STRING,
+    `total` DECIMAL(10,2),
+    `transaction_time` TIMESTAMP(3),
+     WATERMARK FOR `transaction_time` AS transaction_time - INTERVAL '30' SECONDS --定义watermark
+) WITH (
+    'connector' = 'faker',   
+    'fields.id.expression' = '#{Internet.UUID}',
+    'fields.currency_code.expression' = '#{Currency.code}',
+    'fields.total.expression' = '#{Number.randomDouble ''2'',''10'',''1000''}',
+    'fields.transaction_time.expression' = '#{date.past ''30'',''SECONDS''}',
+    'rows-per-second' = '100'
+);
+
+-- 当左右两张表的watermark对齐时，才会触发join动作，左右两张表都需要定义watermark
+SELECT
+    t.id,
+    t.total * c.eur_rate AS total_eur,
+    t.total,
+    c.currency_code,
+    t.transaction_time
+FROM dt_catalog.dt_db.transactions t
+    -- transactions表每条记录都与currency_rates表transaction_time时刻的汇率进行join
+    JOIN dt_catalog.dt_db.currency_rates FOR SYSTEM_TIME AS OF t.transaction_time AS c
+    -- 指定join key
+    ON t.currency_code = c.currency_code;
+
+
+--********************************************************************--
+-- Flink SQL 快速入门示例 维表Join
+-- 该模版仅支持使用"执行"功能。如需"提交"运行，需要您增加 INSERT 相关逻辑
+--********************************************************************--
+CREATE TABLE dt_catalog.dt_db.subscriptions (
+    id STRING,
+    user_id INT,
+    type STRING,
+    start_date TIMESTAMP(3),
+    end_date TIMESTAMP(3),
+    payment_expiration TIMESTAMP(3),
+    proc_time AS PROCTIME() -- 这里需要定义处理时间属性
+) WITH (
+    'connector' = 'faker',   
+    'fields.id.expression' = '#{Internet.uuid}',
+    'fields.user_id.expression' = '#{number.numberBetween ''1'',''50''}',
+    'fields.type.expression'= '#{regexify ''(basic|premium|platinum){1}''}',
+    'fields.start_date.expression' = '#{date.past ''30'',''DAYS''}',
+    'fields.end_date.expression' = '#{date.future ''365'',''DAYS''}',
+    'fields.payment_expiration.expression' = '#{date.future ''365'',''DAYS''}'
+);
+
+-- 定义维表，为了示例能直接运行，这里使用faker 作为维表，实际应用中一般会使用JDBC、Redis、Hbase等作为维表
+CREATE TABLE dt_catalog.dt_db.users (
+    user_id INT PRIMARY KEY, -- 定义主键
+    user_name VARCHAR(255) NOT NULL,
+    age INT NOT NULL
+) WITH (
+    'connector' = 'faker',   
+    'fields.user_id.expression' = '#{number.numberBetween ''1'',''10''}',
+    'fields.user_name.expression' = '#{regexify ''(ron|jark|danny){1}''}',
+    'fields.age.expression' = '#{number.numberBetween ''1'',''30''}'
+);
+
+SELECT
+    id AS subscription_id,
+    type AS subscription_type,
+    age AS user_age,
+    CASE
+        WHEN age < 18 THEN 1
+        ELSE 0
+    END AS is_minor
+FROM dt_catalog.dt_db.subscriptions usub
+    -- subscriptions每条记录都使用当前系统时间与维表users中的最新数据进行join
+    JOIN dt_catalog.dt_db.users FOR SYSTEM_TIME AS OF usub.proc_time AS u
+    -- 指定join key
+    ON usub.user_id = u.user_id;
+
+
+--********************************************************************--
+-- Flink SQL ODS 层
+-- 实际应用中，该任务应该是一个采集任务，源表为RDB
+--********************************************************************--
+CREATE  TABLE source_table (
+    account_number STRING,
+    channel_id INT,
+    account_open_datetime TIMESTAMP(3)
+) WITH (
+    'connector' = 'faker', -- 使用 Flink Faker Connector
+    'fields.account_number.expression' = '#{Finance.iban}', -- 随机生成银行账号
+    'fields.channel_id.expression' = '#{number.numberBetween ''1'',''4''}', -- 渠道ID随机生成1到3之间的数字
+    'fields.account_open_datetime.expression' =  '#{date.past ''15'',''5'',''SECONDS''}' -- 过去15天的日期，每5秒一条数据
+);
+
+-- 定义结果表，实际应用中应选择 Kafka等作为结果表
+CREATE TABLE sink_table (
+    account_number STRING,
+    channel_id INT,
+    account_open_datetime TIMESTAMP(3)
+) WITH (
+    'connector' = 'stream-x'
+);
+
+-- 写入数据到结果表
+INSERT INTO sink_table SELECT * FROM source_table
+
+--********************************************************************--
+-- Flink SQL DWD 层
+-- 实际应用中，源表为 ODS TOPIC
+--********************************************************************--
+CREATE  TABLE source_table (
+    account_number STRING,
+    channel_id INT,
+    account_open_datetime TIMESTAMP(3)
+) WITH (
+    'connector' = 'faker', -- 使用 Flink Faker Connector
+    'fields.account_number.expression' = '#{Finance.iban}', -- 随机生成银行账号
+    'fields.channel_id.expression' = '#{number.numberBetween ''1'',''4''}', -- 渠道ID随机生成1到3之间的数字
+    'fields.account_open_datetime.expression' =  '#{date.past ''15'',''5'',''SECONDS''}' -- 过去15天的日期，每5秒一条数据
+);
+
+-- 定义维表，实际应用中应选择RDB作为维表
+CREATE  TABLE dim_table (
+    channel_id INT,
+    channel_name STRING,
+    PRIMARY KEY (channel_id,channel_name) NOT ENFORCED
+) WITH (
+    'connector' = 'faker', -- 使用 Flink Faker Connector
+    'fields.channel_id.expression' = '#{number.numberBetween ''1'',''4''}', -- 渠道ID随机生成1到3之间的数字
+    'fields.channel_name.expression' =  '#{app.name}' -- 渠道名称
+);
+
+-- 定义结果表，实际应用中应选择 Kafka等作为结果表
+CREATE TABLE sink_table (
+    account_number STRING,
+    channel_id INT,
+    channel_name STRING,
+    account_open_datetime TIMESTAMP(3)
+) WITH (
+    'connector' = 'stream-x'
+);
+
+-- 写入数据到结果表
+INSERT INTO sink_table
+    SELECT
+        s1.account_number,
+        s1. channel_id ,
+        d1.channel_name,
+        s1.account_open_datetime
+    FROM source_table s1 
+    left JOIN dim_table d1 ON s1.channel_id=d1.channel_id
+
+
+--********************************************************************--
+-- Flink SQL DWS 层
+-- 实际应用中，源表为DWD TOPIC
+--********************************************************************--
+CREATE  TABLE source_table (
+    account_number STRING,
+    channel_id INT,
+    channel_name STRING,
+    account_open_datetime TIMESTAMP(3)
+) WITH (
+    'connector' = 'faker', -- 使用 Flink Faker Connector
+    'fields.account_number.expression' = '#{Finance.iban}', -- 随机生成银行账号
+    'fields.channel_id.expression' = '#{number.numberBetween ''1'',''4''}', -- 渠道ID随机生成1到3之间的数字
+    'fields.channel_name.expression' =  '#{app.name}' ,-- 渠道名称
+    'fields.account_open_datetime.expression' = '#{date.past ''15'',''5'',''SECONDS''}' -- 过去15天的日期，每5秒一条数据
+);
+DROP TABLE source_table
+SELECT * FROM source_table
+
+-- 定义结果表，实际应用中应选择Kafka作为结果表
+CREATE TABLE sink_table (
+    channel_id STRING,
+    open_date STRING,
+    cnt INT
+) WITH (
+    'connector' = 'stream-x'
+);
+DROP TABLE sink_table
+SELECT * FROM sink_table
+
+-- 写入数据到结果表
+INSERT INTO sink_table
+    SELECT 
+        channel_id,
+        DATE_FORMAT(account_open_datetime,'yyyy-MM-dd'),
+        count(account_number) 
+    FROM source_table 
+    GROUP BY channel_id,DATE_FORMAT(account_open_datetime,'yyyy-MM-dd')
+
+
+--********************************************************************--
+-- Flink SQL ADS 层
+-- 实际应用中，源表为DWS TOPIC
+--********************************************************************--
+CREATE TABLE source_table (
+    channel_id STRING,
+    open_time TIMESTAMP(3),
+    cnt INT
+) WITH (
+    'connector' = 'faker', -- 使用 Flink Faker Connector
+    'fields.channel_id.expression' = '#{number.numberBetween ''1'',''4''}', -- 渠道ID随机生成1到3之间的数字
+    'fields.open_time.expression' =  '#{Date.future ''15'',''5'',''SECONDS''}' ,-- 日期
+    'fields.cnt.expression' = '#{number.numberBetween ''1'',''100000000''}'-- 数量
+);
+
+-- 实际应用中，结果表为RDB
+CREATE TABLE sink_table (
+    open_date STRING,
+    cnt INT
+) WITH (
+    'connector' = 'stream-x'
+);
+
+-- 写入数据到结果表
+INSERT INTO sink_table
+SELECT DATE_FORMAT(open_time,'yyyy-MM-dd'),count(1);
--- a/test/parser/flink/syntax/fixtures/use.sql
+++ b/test/parser/flink/syntax/fixtures/use.sql
@ -0,0 +1,5 @@
+USE CATALOG cat1;
+
+USE db1;
+
+USE MODULES hive;
				`@ -0,0 +1 @@`
				`CREATE CATALOG c1 WITH ('key1' = 'value1', 'key2' = 'value2');`