hive学习笔记之-数据类型

数据类型

Hive基本的数据类型:

hive学习笔记之-数据类型

 hive学习笔记之-数据类型

 

Hive集合数据类型:

hive学习笔记之-数据类型

另外还有一个复合数据类型,可以综合上面的数据类型组合到一起。

·          union: UNIONTYPE<data_type, data_type, ...>

 

 

类型说明

时间戳

 

支持传统的unix时间戳,可选的纳秒级精度。

 

支持的转换:

 

  l        整型数值类型:解读为以秒为单位的UNIX时间戳

  l        浮动点数值类型:解读为以秒和小数精度为单位的UNIX时间戳。

  l        字符串:JDBC兼容的java.sql.Timestamp格式“YYYY-MM-DD HH:MM:SS.fffffffff”(9位小数位精度)

 

时间戳被解释是与timezone无关,存储为从UNIX纪元的偏移量。提供便利的UDF和时区转换(to_utc_timestamp,from_utc_timestamp)。

所有现有datetime的UDF(月,日,年,小时,等)可以工作于TIMESTAMP数据类型。


限定符

Hive默认的限定符:

hive学习笔记之-数据类型

下面两个建表语句是一样的。

隐式的限定符语句:

CREATE TABLEemployees (

name  STRING,

salary  FLOAT,

subordinatesARRAY<STRING>,

deductions  MAP<STRING, FLOAT>,

address  STRUCT<street:STRING, city:STRING,state:STRING, zip:INT>);

 

显式的限定符语句:

CREATE TABLEemployees (

name  STRING,

salary  FLOAT,

subordinatesARRAY<STRING>,

deductions  MAP<STRING, FLOAT>,

address  STRUCT<street:STRING, city:STRING,state:STRING, zip:INT>

)

ROW FORMATDELIMITED

FIELDSTERMINATED BY ‘\001‘

COLLECTION ITEMSTERMINATED BY ‘\002‘

MAP KEYSTERMINATED BY ‘\003‘

LINES TERMINATEDBY ‘\n‘

STORED ASTEXTFILE;

 

要导入的文件格式

John  Doe^A100000.0^AMary  Smith^BTodd Jones^AFederal  Taxes^C.2^BStateTaxes^C.05^BInsurance^C.1^A1 Michigan Ave.^BChicago^BIL^B60600

Mary  Smith^A80000.0^ABill  King^AFederal Taxes^C.2^BState Taxes^C.05^BInsurance^C.1^A100 Ontario St.^BChicago^BIL^B60601

Todd Jones^A70000.0^AFederalTaxes^C.15^BState Taxes^C.03^BInsurance^C.1^A200 Chicago Ave.^BOak Park^BIL^B60700

Bill  King^A60000.0^AFederal  Taxes^C.15^BState  Taxes^C.03^BInsurance^C.1^A300 Obscure Dr.^BObscuria^BIL^B60100

 

下面是导入首行记录的格式样本结构:

{

"name":  "John Doe",

"salary": 100000.0,

"subordinates": ["MarySmith", "Todd Jones"],

"deductions": {

"Federal Taxes": .2,

"State Taxes":  .05,

"Insurance":  .1

},

"address":{

"street": "1 Michigan Ave.",

"city":  "Chicago",

"state":  "IL",

"zip":  60600

}

}

 

当然我们可以自己可以自定列值的限定符,如下:

CREATE TABLEemployees (

name STRING,

salary FLOAT,

subordinates ARRAY<STRING>,

deductions MAP<STRING, FLOAT>,

address STRUCT<street:STRING, city:STRING, state:STRING, zip:INT>

)

ROW FORMATDELIMITED

FIELDSTERMINATED BY ‘,‘

COLLECTION ITEMSTERMINATED BY ‘|‘

MAP KEYSTERMINATED BY ‘:‘;

 

注意:

1.      由于field, collection, and key-value的分隔默认就是TEXTFILE格式,所以上面可以省略掉STORED AS TEXTFILE子句。

2.      由于目前hive支持的行分隔符只有/n(换行符),所以LINES TERMINATED BY ‘\n‘子句也可以去掉。

 

按表的定义文件的格式:

John Doe,100000.0,MarySmith|Todd Jones,Federal Taxes:.2|State Taxes:.05|Insurance:.1,1 MichiganAve.|Chicago|IL|60600

MarySmith,80000.0,Bill King,Federal Taxes:.2|State Taxes:.05|Insurance:.1,100Ontario St.|Chicago|IL|60601

ToddJones,70000.0,,Federal Taxes:.15|State Taxes:.03|Insurance:.1,200 ChicagoAve.|Oak Park|IL|60700

BillKing,60000.0,,Federal Taxes:.15|State Taxes:.03|Insurance:.1,300 ObscureDr.|Obscuria|IL|60100

 

导入数据:

load data localinpath ‘/app/hadoop/data/employees2‘ overwrite into table employees;

 

查看数据:

hive(default)> select * from employees2;

OK

John Doe        100000.0        ["Mary Smith","ToddJones"]     {"FederalTaxes":0.2,"State Taxes":0.05,"Insurance":0.1}        {"street":"1 Michigan Ave.","city":"Chicago","state":"IL","zip":60600}

Mary Smith      80000.0 ["Bill King"]   {"Federal Taxes":0.2,"StateTaxes":0.05,"Insurance":0.1}        {"street":"100 Ontario St.","city":"Chicago","state":"IL","zip":60601}

Todd Jones      70000.0 []      {"FederalTaxes":0.15,"State Taxes":0.03,"Insurance":0.1}       {"street":"200 Chicago Ave.","city":"Oak Park","state":"IL","zip":60700}

Bill King       60000.0 []      {"FederalTaxes":0.15,"State Taxes":0.03,"Insurance":0.1}       {"street":"300 Obscure Dr.","city":"Obscuria","state":"IL","zip":60100}

Time taken:0.085 seconds, Fetched: 4 row(s)

 

 


参考:

1.Hive编程指南

2.https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Types

 

hive学习笔记之-数据类型

上一篇:分段录制的实现


下一篇:第九章 接口