Column type are used as column data types of Hive. They are as follows: 列类型用作Hive的列数据类型。 它们如下: Integral Types 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...
如果需要当做tinyint or smallint or bigint处理,需要在值后面分别添加后缀Y,S or L。 例如:100Y -> TINYINT, 100S -> SMALLINT, 100L -> BIGINT String Data Types 从0.14版本开始,Hive支持3种字符类型,见如下表格: Primitive - String Data Types char vs varchar char是固定长度的,不足用空格补齐; ...
hive> set hive.exec.parallel; hive.exec.parallel=false hive> select t1.cnt1,t2.cnt2 from > (select count(id) cnt1 from psn21) t1, > (select count(name) cnt2 from psn21)t2; Warning: Map Join MAPJOIN[27][bigTable=?] in task 'Stage-4:MAPRED' is a cross product Warning: Map...
Primitive Data Types可以进一步分为四类: Numeric Types String Types Date/Time Types Miscellaneous Types 这些数据类型和占用空间大小与Java/SQL primitive相似。 1. Hive数据类型 Primitive Data Types Numeric Data Types 整型包括tinyint、smallint、int和bigint,等价于Java的byte、short、int和long primitive types...
函数名: bigint 包名: org.apache.spark.sql.catalyst.expressions.Cast 解释: bigint(expr AS type) - Casts the valueexprto the target data typetype. 强制转换为目标类型 函数名: bin 包名: org.apache.spark.sql.catalyst.expressions.Bin 解释: bin(expr) - Returns the string representation of the ...
Data type is an attribute of data which is used to define the type of value a column stores in Hive table. Hive provides various data types such as Numeric, Date/time. String and so on.
--提示当前库名--> <property> <name>hive.cli.print.current.db</name> <value>true</value> <description>Whether to include the current database in the Hive prompt.</description> </property> <!--查询输出显示列名--> <property> <name>hive.cli.print.header</name> <value>true</value> <...
This recipe explains what are the types of sampling in hive. Recipe Objective In big data scenarios , when data volume is huge, we may need to find a subset of data to speed up data analysis. Here comes a technique to select and analyze a subset of data in order to identify patterns ...
Once the value has been parsed and converted to aVerticadata type, it is treated as native data. This treatment can result in some confusion when comparing the results of an identical query run in Hive and inVertica. For example, if your query adds two INT values that result in a value...
String 更改为 Decimal, 因为 CDH 认为这种不算类型不兼容（Primitive types like INT, STRING, BIGINT...