Creating a DLI Table Using the DataSource Syntax

Function

This DataSource syntax can be used to create a DLI table. The main differences between the DataSource and the Hive syntax lie in the supported data formats and the number of supported partitions. For details, see syntax and precautions.

Precautions

• Table properties cannot be specified using CTAS table creation statements.
• If no separator is specified, a comma (,) is used by default.
• Instructions on using partitioned tables:
  • When a partitioned table is created, the column specified in PARTITIONED BY must be a column in the table, and the partition type must be specified. Partition columns can only be in the string, boolean, tinyint, smallint, short, int, bigint, long, decimal, float, double, date, or timestamp format.
  • When a partitioned table is created, the partition field must be the last one or several fields of the table field, and the sequence of the partition fields must be the same. Otherwise, an error occurs.
  • A maximum of 200,000 partitions can be created in a single table.
  • Starting from January 2024, new users who register for DLI and use Spark 3.3 or later will be able to use CTAS statements to create partitioned tables when creating tables using the DataSource syntax.

Syntax

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CREATE TABLE [IF NOT EXISTS] [db_name.]table_name 
  [(col_name1 col_type1 [COMMENT col_comment1], ...)]
  USING file_format 
  [OPTIONS (key1=val1, key2=val2, ...)] 
  [PARTITIONED BY (col_name1, col_name2, ...)]
  [COMMENT table_comment]
  [AS select_statement];

Keywords

• IF NOT EXISTS: Prevents system errors when the created table exists.
• USING: Storage format.
• OPTIONS: Property name and property value when a table is created.
• COMMENT: Field or table description.
• PARTITIONED BY: Partition field.
• AS: Run the CREATE TABLE AS statement to create a table.

Parameters

Example 1: Creating a DLI Non-Partitioned Table

Example description: Create a DLI non-partitioned table named table1 and use the USING keyword to set the storage format of the table to orc.

You can save DLI tables in the parquet format.

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CREATE TABLE IF NOT EXISTS table1 (
    col_1 STRING,
    col_2 INT)
USING orc;

Example 2: Creating a DLI Partitioned Table

Example description: Create a partitioned table named student, which is partitioned using facultyNo and classNo.

In practice, you can select a proper partitioning field and add it to the end of the PARTITIONED BY keyword.

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CREATE TABLE IF NOT EXISTS student (
    Name        STRING,
    facultyNo   INT,
    classNo     INT
)
USING orc
PARTITIONED BY (facultyNo, classNo);

Example 3: Using CTAS to Create a DLI Table Using All or Part of the Data in the Source Table

Example description: Based on the DLI table table1 created in Example 1: Creating a DLI Non-Partitioned Table, use the CTAS syntax to copy data from table1 to table1_ctas.

When using CTAS to create a table, you can ignore the syntax used to create the table being copied. This means that regardless of the syntax used to create table1, you can use the DataSource syntax to create table1_ctas.

In addition, in this example, the storage format of table1 is orc, and the storage format of table1_ctas may be orc or parquet. This means that the storage format of the table created by CTAS may be different from that of the original table.

Use the SELECT statement following the AS keyword to select required data and insert the data to table1_ctas.

The SELECT syntax is as follows: SELECT <Column name > FROM <Table name > WHERE <Related filter criteria>.

• In this example, SELECT * FROM table1 is used. * indicates that all columns are selected from table1 and all data in table1 is inserted into table1_ctas.

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  CREATE TABLE IF NOT EXISTS table1_ctas USING parquet AS SELECT * FROM table1;

• To filter and insert data into table1_ctas in a customized way, you can use the following SELECT statement: SELECT col_1 FROM table1 WHERE col_1 = 'Ann'. This will allow you to select only col_1 from table1 and insert data into table1_ctas where the value equals 'Ann'.

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  CREATE TABLE IF NOT EXISTS table1_ctas USING parquet AS SELECT col_1 FROM table1 WHERE col_1 = 'Ann';

Example 4: Creating a DLI Non-Partitioned Table and Customizing the Data Type of a Column Field

Example description: Create a DLI non-partitioned table named table2. You can customize the native data types of column fields based on service requirements.

• STRING, CHAR, or VARCHAR can be used for text characters.
• TIMESTAMP or DATE can be used for time characters.
• INT, SMALLINT/SHORT, BIGINT/LONG, or TINYINT can be used for integer characters.
• FLOAT, DOUBLE, or DECIMAL can be used for decimal calculation.
• BOOLEAN can be used if only logical switches are involved.

For details, see "Data Types" > "Primitive Data Types".

For details, see Primitive Data Types.

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CREATE TABLE IF NOT EXISTS table2 (
    col_01  STRING,
    col_02  CHAR (2),
    col_03  VARCHAR (32),
    col_04  TIMESTAMP,
    col_05  DATE,
    col_06  INT,
    col_07  SMALLINT,
    col_08  BIGINT,
    col_09  TINYINT,
    col_10  FLOAT,
    col_11  DOUBLE,
    col_12  DECIMAL (10, 3),
    col_13  BOOLEAN
)
USING parquet;

Example 5: Creating a DLI Partitioned Table and Customizing OPTIONS Parameters

Example description: When creating a DLI table, you can customize property names and values. For details about OPTIONS parameters, see Table 2.

In this example, a DLI partitioned table named table3 is created and partitioned based on col_2. Set pmultiLevelDirEnable and compression in OPTIONS.

• multiLevelDirEnable: In this example, this parameter is set to true, indicating that all files and subdirectories in the table path are read iteratively when the table is queried. If this parameter is not required, set it to false or leave it blank (the default value is false).
• compression: If the created OBS table needs to be compressed, you can use the keyword compression to configure the compression format. In this example, the zstd compression format is used.

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  CREATE TABLE IF NOT EXISTs table3 ( col_1 STRING, col_2 int ) USING parquet PARTITIONED BY (col_2) OPTIONS ( multiLeveldirenable = true, compression = 'zstd' );

FAQ

• What should I do if the error message "xxx dli datasource v2 tables is only supported in spark3.3 or later version." appears when I create a DataSource table using the default queue?

  Ensure that you use Spark 3.3.1 or a later version when creating such a table. If the error message appears, use the Hive syntax to create the table. For details, see Creating a DLI Table Using the Hive Syntax.

• What should I do if the error message "xxx don`t support dli v1 table." appears when I use Spark 3.3.1 to run a Jar job?

  This error message indicates that table operations cannot be performed when Spark 3.3.1 is used to execute the Jar job. Use the Hive syntax to recreate the tables' data structure. For example, you can use [STORED AS file_format] CTAS to recreate the table and then run the job. For how to create a table, see Creating a DLI Table Using the Hive Syntax.