Learn: List of Netezza Data Types and Best Practices

1) Netezza Data Types

Below is an example of the data types available in Netezza at this time. Here's a Netezza CREATE TABLE example demonstrating all the supported Netezza data types.

                CREATE TABLE NETEZZA_TABLE_NAME (
                    BYTEINT_COLUMN BYTEINT,
                    SMALLINT_COLUMN SMALLINT,
                    INTEGER_COLUMN INTEGER,
                    BIGINT_COLUMN BIGINT,
                    BOOLEAN_COLUMN BOOLEAN,
                    CHAR_COLUMN CHARACTER(2),
                    VARCHAR_COLUMN CHARACTER VARYING(10),
                    NCHAR_COLUMN NATIONAL CHARACTER(10),
                    DATE_COLUMN DATE,
                    TIME_COLUMN TIME,
                    TIME_WITH_TIME_ZONE_COLUMN TIME WITH TIME ZONE,
                    TIMESTAMP_COLUMN TIMESTAMP,
                    INTERVAL_COLUMN INTERVAL,
                    DOUBLE_PRECISION_COLUMN DOUBLE PRECISION,
                    FLOAT_COLUMN DOUBLE PRECISION,
                    NUMERIC_COLUMN NUMERIC(18,0),
                    NVARCHAR_COLUMN NATIONAL CHARACTER VARYING(10),
                    REAL_COLUMN REAL,
                    ST_GEOMETRY_COLUMN ST_GEOMETRY(10),
                    VARBINARY_COLUMN BINARY VARYING(10),
                    DECIMAL_COLUMN DECIMAL(16,2),
                    FLOAT_COLUMN FLOAT(6),
                    MONEY_COLUMN MONEY
                ) DISTRIBUTE ON (BIGINT_COLUMN) |[ DISTRIBUTE ON RANDOM] ;

2) Netezza Data Types Best Practices

3) Restrictions: Netezza Database Maximum Lengths

  1. Columns per table or view: 1600 (4 distributions per table)
  2. Connections to the server: 2000 (default connection value 500)
  3. Character fields: 64,000 characters
  4. Database and column names: 128 bytes
  5. Row size: 65,535 bytes (applies to query results as well)

Learn: List of Netezza Data Types and Best Practices

Understanding Netezza Data Types

Netezza, an IBM product, is a data warehouse appliance optimized for analytic queries on large datasets. Understanding the available data types in Netezza can help you design efficient and effective database structures. Here's a list of common Netezza data types:

Character Data Types

Numeric Data Types

Date and Time Data Types

Best Practices for Using Netezza Data Types

  1. Use the smallest data type possible: Smaller data types require less storage space and lead to faster query performance.
  2. Avoid null values: Null values can cause issues with indexes, aggregations, and join operations. Use default values or check constraints whenever possible to prevent nulls.
  3. Use TIMESTAMP for all date/time data: TIMESTAMP is more efficient than DATE or TIME when performing date arithmetic or sorting.
  4. Consider using CHAR(1) for flag-type columns: This reduces storage space and can improve query performance compared to BOOLEAN or BIT data types.

Illustration: Example Usage of Data Types in Netezza