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...
AI代码解释 CREATE[TEMPORARY][EXTERNAL]TABLE[IFNOTEXISTS][db_name.]table_name--(Note:TEMPORARYavailableinHive0.14.0and later)[(col_name data_type[COMMENTcol_comment],...[constraint_specification])][COMMENTtable_comment][PARTITIONEDBY(col_name data_type[COMMENTcol_comment],...)][CLUSTEREDBY(col...
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; ...
DROP TABLE IF EXISTS hive_primitive_data_types;CREATE TABLE hive_primitive_data_types( c_integers_tinyint TINYINT, c_integers_smallint SMALLINT, c_integers_int INT, c_integers_integer INTEGER, c_integers_bigint BIGINT, c_boolean BOOLEAN, c_float FLOAT, c_double DOUBLE, c_decimal DECIMAL,...
col_name datatype:data_type 一定要严谨定义,避免 bigint、double 等等统统用 string 的偷懒做法,否则不知某天数据就出错了。(团队内曾有同事犯过此错误) [if not exists]:创建时不指定,若存在同名表则返回出错。指定此选项,若存在同名表忽略后续,不存在则创建。 [DEFAULT value]:指定列的默认值,当INSERT操作...
Complex Data Types 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...
Schema evolution is more restrictive in CDP Private Cloud Base than in CDH to avoid data corruption. The new default disallows column type changes if the old andnew types are incompatible. hive.metastore.dml.events 升级前: FALSE 升级后: TRUE hive.metastore.event.message.factory 升级前: org.apa...
Hive的执行原理HDFSHiveSQL的数据类型Primitive types:TINYINTSMALLINTINTBIGINTBOOLEANFLOATDOUBLESTRINGBINARY(Note: Only available starting with Hive 0.8.0) TIMESTAMP(Note: Only available starti ng with 38、Hive 0.8.0)Complex types:arrays: ARRAY<data_type>maps: MAP<primitive_type, data_type>structs...
Just like a hive making big decisions together, 🌐 you'll want to use transactions when you have several operations that should be executed together. If one fails, they all fail. It ensures your data stays consistent, safe, and buzzing in harmony! 🎶 ...
[HIVE-20901] - running compactor when there is nothing to do produces duplicate data [HIVE-21086] - Fetch task and MR job give back different results when multiple partitions point to the same location [HIVE-21106] - Potential NEP in VectorizedOrcAcidRowBatchReader.ColumnizedDeleteEventRegistry ...