This chapter takes you through the different data types in Hive, which are involved in the table creation. All the data types in Hive are classified into four types, given as follows:
Column type are used as column data types of Hive. They are as follows:
Integer type data can be specified using integral data types, INT. When the data range exceeds the range of INT, you need to use BIGINT and if the data range is smaller than the INT, you use SMALLINT. TINYINT is smaller than SMALLINT.
The following table depicts various INT data types:
Type | Postfix | Example |
---|---|---|
TINYINT | Y | 10Y |
SMALLINT | S | 10S |
INT | - | 10 |
BIGINT | L | 10L |
String type data types can be specified using single quotes (' ') or double quotes (" "). It contains two data types: VARCHAR and CHAR. Hive follows C-types escape characters.
The following table depicts various CHAR data types:
Data Type | Length |
---|---|
VARCHAR | 1 to 65355 |
CHAR | 255 |
It supports traditional UNIX timestamp with optional nanosecond precision. It supports java.sql.Timestamp format “YYYY-MM-DD HH:MM:SS.fffffffff” and format “yyyy-mm-dd hh:mm:ss.ffffffffff”.
DATE values are described in year/month/day format in the form {{YYYY-MM-DD}}.
The DECIMAL type in Hive is as same as Big Decimal format of Java. It is used for representing immutable arbitrary precision. The syntax and example is as follows:
DECIMAL(precision, scale) decimal(10,0)
Union is a collection of heterogeneous data types. You can create an instance using create union. The syntax and example is as follows:
UNIONTYPE<int, double, array<string>, struct<a:int,b:string>> {0:1} {1:2.0} {2:["three","four"]} {3:{"a":5,"b":"five"}} {2:["six","seven"]} {3:{"a":8,"b":"eight"}} {0:9} {1:10.0}
The following literals are used in Hive:
Floating point types are nothing but numbers with decimal points. Generally, this type of data is composed of DOUBLE data type.
Missing values are represented by the special value NULL.
The Hive complex data types are as follows:
Arrays in Hive are used the same way they are used in Java.
Syntax: ARRAY<data_type>
Maps in Hive are similar to Java Maps.
Syntax: MAP<primitive_type, data_type>
Structs in Hive is similar to using complex data with comment.
Syntax: STRUCT<col_name : data_type [COMMENT col_comment], ...>