Creating a CarbonData Table

Scenario

A CarbonData table must be created to load and query data. You can run the Create Table command to create a table. This command is used to create a table using custom columns.

Creating a Table with Self-Defined Columns

Users can create a table by specifying its columns and data types.

Sample command:

CREATE TABLE IF NOT EXISTS productdb.productSalesTable (

productNumber Int,

productName String,

storeCity String,

storeProvince String,

productCategory String,

productBatch String,

saleQuantity Int,

revenue Int)

STORED AS carbondata

TBLPROPERTIES (

'table_blocksize'='128');

The following table describes parameters of preceding commands.

**Table 1** Parameter description
Parameter	Description
productSalesTable	Table name. The table is used to load data for analysis. The table name consists of letters, digits, and underscores (_).
productdb	Database name. The database maintains logical connections with tables stored in it to identify and manage the tables. The database name consists of letters, digits, and underscores (_).
productName storeCity storeProvince procuctCategory productBatch saleQuantity revenue	Columns in the table. The columns are service entities for data analysis. The column name (field name) consists of letters, digits, and underscores (_).
table_blocksize	Indicates the block size of data files used by the CarbonData table, in MB. The value ranges from 1 to 2048. The default value is 1024. If table_blocksize is too small, a large number of small files will be generated when data is loaded. This may affect the performance of HDFS. If table_blocksize is too large, during data query, the amount of block data that matches the index is large, and some blocks contain a large number of blocklets, affecting read concurrency and lowering query performance. You are advised to set the block size based on the data volume. For example, set the block size to 256 MB for GB-level data, 512 MB for TB-level data, and 1024 MB for PB-level data.

Measurement of all integer data is processed and displayed using the BigInt data type.
CarbonData parses data strictly. Any data that cannot be parsed is saved as null in the table. For example, if the user loads the double value (3.14) to the BigInt column, the data is saved as null.
The Short and Long data types used in the Create Table command are shown as smallint and bigint in the DESCRIBE command, respectively.
You can run the DESCRIBE command to view the table data size and table index size.