lava-oushudb-dt-sql-parser/test/parser/spark/syntax/fixtures/createDataSourceTable.sql
琉易 d13a92914d
feat: spark sql DDL test (#170)
Co-authored-by: liuyi <liuyi@dtstack.com>
2023-10-09 09:49:48 +08:00

69 lines
2.3 KiB
SQL

-- Syntax
-- CREATE TABLE [ IF NOT EXISTS ] table_identifier
-- [ ( col_name1 col_type1 [ COMMENT col_comment1 ], ... ) ]
-- USING data_source
-- [ OPTIONS ( key1=val1, key2=val2, ... ) ]
-- [ PARTITIONED BY ( col_name1, col_name2, ... ) ]
-- [ CLUSTERED BY ( col_name3, col_name4, ... )
-- [ SORTED BY ( col_name [ ASC | DESC ], ... ) ]
-- INTO num_buckets BUCKETS ]
-- [ LOCATION path ]
-- [ COMMENT table_comment ]
-- [ TBLPROPERTIES ( key1=val1, key2=val2, ... ) ]
-- [ AS select_statement ]
--Use data source
CREATE TABLE student (id INT, name STRING, age INT) USING CSV;
CREATE TABLE IF NOT EXISTS student (id INT, name STRING, age INT) USING CSV;
--Use data from another table
CREATE TABLE student_copy USING CSV AS SELECT * FROM student;
--Omit the USING clause, which uses the default data source (parquet by default)
CREATE TABLE student (id INT, name STRING, age INT);
--Use parquet data source with parquet storage options
--The columns 'id' and 'name' enable the bloom filter during writing parquet file,
--column 'age' does not enable
CREATE TABLE student_parquet(id INT, name STRING, age INT) USING PARQUET
OPTIONS (
'parquet.bloom.filter.enabled'='true',
'parquet.bloom.filter.enabled#age'='false'
);
--Specify table comment and properties
CREATE TABLE student (id INT, name STRING, age INT) USING CSV
LOCATION 'file:/temp/spark-warehouse/new_inventory.db'
COMMENT 'this is a comment'
TBLPROPERTIES ('foo'='bar');
--Specify table comment and properties with different clauses order
CREATE TABLE student (id INT, name STRING, age INT) USING CSV
TBLPROPERTIES ('foo'='bar')
COMMENT 'this is a comment';
--Create partitioned and bucketed table
CREATE TABLE student (id INT, name STRING, age INT)
USING CSV
PARTITIONED BY (age)
CLUSTERED BY (Id)
SORTED BY (Id ASC) INTO 4 buckets;
--Create partitioned and bucketed table through CTAS
CREATE TABLE student_partition_bucket
USING parquet
PARTITIONED BY (age)
CLUSTERED BY (id) INTO 4 buckets
AS SELECT * FROM student;
--Create bucketed table through CTAS and CTE
CREATE TABLE student_bucket
USING parquet
CLUSTERED BY (id) INTO 4 buckets (
WITH tmpTable AS (
SELECT * FROM student WHERE id > 100
)
SELECT * FROM tmpTable
);