This is the documentation for Cloudera Impala 2.0.x.
Documentation for other versions is available at Cloudera.com.

DOUBLE Data Type

An 8-byte (double precision) floating-point data type used in CREATE TABLE and ALTER TABLE statements.

Syntax:

In the column definition of a CREATE TABLE statement:

column_name DOUBLE

Range: 4.94065645841246544e-324d .. 1.79769313486231570e+308, positive or negative

Conversions: Impala does not automatically convert DOUBLE to any other type. You can use CAST() to convert DOUBLE values to FLOAT, TINYINT, SMALLINT, INT, BIGINT, STRING, TIMESTAMP, or BOOLEAN. You can use exponential notation in DOUBLE literals or when casting from STRING, for example 1.0e6 to represent one million.

Usage notes:

The data type REAL is an alias for DOUBLE.

Examples:

CREATE TABLE t1 (x DOUBLE);
SELECT CAST(1000.5 AS DOUBLE);

Partitioning: Because fractional values of this type are not always represented precisely, when this type is used for a partition key column, the underlying HDFS directories might not be named exactly as you expect. Prefer to partition on a DECIMAL column instead.

HBase considerations: This data type is fully compatible with HBase tables.

Parquet considerations: This type is fully compatible with Parquet tables.

Text table considerations: Values of this type are potentially larger in text tables than in tables using Parquet or other binary formats.

Internal details: Represented in memory as an 8-byte value.

Column statistics considerations: Because this type has a fixed size, the maximum and average size fields are always filled in for column statistics, even before you run the COMPUTE STATS statement.

Restrictions:

Due to the way arithmetic on FLOAT and DOUBLE columns uses high-performance hardware instructions, and distributed queries can perform these operations in different order for each query, results can vary slightly for aggregate function calls such as SUM() and AVG() for FLOAT and DOUBLE columns, particularly on large data sets where millions or billions of values are summed or averaged. For perfect consistency and repeatability, use the DECIMAL data type for such operations instead of FLOAT or DOUBLE.

Numeric Literals, Impala Mathematical Functions, FLOAT Data Type