Quantcast
Channel: CodeSection,代码区,数据库(综合) - CodeSec
Viewing all articles
Browse latest Browse all 6262

Hive入门培训

$
0
0

Hive数据类型

基础数据类型:

TINYINT,SMALLINT,INT,BIGINT,BOOLEAN,FLOAT,DOUBLE,STRING,BINARY,TIMESTAMP,DECIMAL,CHAR,VARCHAR,DATE。

复杂数据类型:

包括ARRAY(数组),MAP(字典),STRUCT(结构体),UNION(联合体),这些复杂类型是由基础类型组成的。

ARRAY:ARRAY类型是由一系列相同数据类型元素组成的,这些元素可以通过下标来访问。比如有一个ARRAY类型的变量fruits,它是由[‘apple’,’orange’,’mango’]组成,那么可以通过fruits[1]来访问orange;
MAP:MAP包含key->value键值对,可以通过key来访问元素。比如”userlist”是一个map类型(其中username是key,password是value),那么我们可以通过userlist[‘username’]来得到这个用户对应的password;

STRUCT:STRUCT可以包含不同数据类型的元素。这些元素可以通过点的方式来得到,比如user是一个STRUCT类型,那么可以通过user.address得到这个用户的地址。

UNION: UNIONTYPE

示例:

Array演示:

create table test

(

name string,

value array

) row format delimited

fields terminated by '|'

collection itemsterminated by ',';


文件:array.txt

bigdata|spark,hadoop

warehouse|hive,impala,hbase

load data local inpath'/hadoop/ylxsource/myspark/testdata/array.txt' into table test;

select name, value[0]from test;

Map演示:

create tabletest_map(name string, value map),int>

row format delimited

fields terminated by '|'

collection itemsterminated by ','

map keys terminated by':';

文件:map.txt

bigdata|Spark:95,Hadoop:85

warehouse|Hive:80,Impala:70,HBase:90

load data local inpath'/hadoop/ylxsource/myspark/testdata/map.txt' into table test_map;

select name,value["Spark"] from test_map;

Struct演示:

create tabletest_struct(id int,name struct),value:int>

row format delimited

fields terminated by '|'

collection itemsterminated by ',';

文件:struct.txt

1|Spark,100

2|Hive,90

load data local inpath '/hadoop/ylxsource/myspark/testdata/struct.txt'into table test_struct;

select id, name.bigdatafrom test_struct;


Union演示:

create tabletest_union(id int,name map>),array

row format delimitedfields terminated by '|'

collection items terminatedby ','

map keys terminated by':';

1|Spark:95,10,85

2|Hadoop:85,20,65


Hive文件格式

1. Textfile

Hive默认格式,数据不做压缩,磁盘开销大,数据解析开销大。

可结合Gzip、Bzip2、Snappy等使用(系统自动检查,执行查询时自动解压),但使用这种方式,hive不会对数据进行切分,从而无法对数据进行并行操作。

2. Sequencefile

Hadoop API提供的一种二进制文件支持,它将数据(key,value)的形式序列化到文件中,其具有使用方便、可分割、可压缩的特点。SequenceFile支持三种压缩选择:NONE,RECORD,BLOCK。RECORD压缩率低,一般建议使用BLOCK压缩。

3. Rcfile

RCFile是Hive推出的一种专门面向列的数据格式。 它遵循“先按列划分,再垂直划分”的设计理念。

当查询过程中,针对它并不关心的列时,它会在IO上跳过这些列。需要说明的是,RCFile在map阶段从远端拷贝仍然是拷贝整个数据块,并且拷贝到本地目录后,RCFile并不是真正直接跳过不需要的列,并跳到需要读取的列,而是通过扫描每一个row group的头部定义来实现的。

但是在整个HDFS Block 级别的头部并没有定义每个列从哪个row group起始到哪个row group结束。所以在读取所有列的情况下,RCFile的性能反而没有SequenceFile高。

4. ORC

Hive命令行常见操作

l 查看所有数据库

show databases;

l 使用数据库

use hive;

l 查看数据库信息

desc database hive;

l 查看当前使用的数据库

set hive.cli.print.current.db=true;

l 显示列头

set hive.cli.print.header=true;

l 创建数据库

create database hive;

l 删除数据库

drop database hello;

如果数据库不为空,则使用cascade关键字:

drop database IF EXISTS hello cascade;

l 查看数据库的表

show tables;

show tables like '*test*';

show tables in myspark;

l 获取表信息

show create table test;

desc formatted test;

desc extended test;


l 创建表

CREATE[TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS][db_name.]table_name -- (Note: TEMPORARY available inHive 0.14.0 and later)
[(col_namedata_type [COMMENT col_comment], ...)]
[COMMENTtable_comment]
[PARTITIONED BY (col_name data_type [COMMENT col_comment], ...)]
[CLUSTEREDBY (col_name, col_name, ...) [SORTED BY (col_name [ASC|DESC], ...)] INTOnum_buckets BUCKETS]
[SKEWEDBY (col_name, col_name,...) -- (Note: Available in Hive 0.10.0 and later)]

ON((col_value, col_value, ...), (col_value, col_value, ...), ...)

[STOREDAS DIRECTORIES]
[
[ROWFORMAT row_format]
[STOREDAS file_format]
|STORED BY 'storage.handler.class.name' [WITH SERDEPROPERTIES (...)] -- (Note: Available inHive 0.6.0 and later)

]

[LOCATIONhdfs_path]
[TBLPROPERTIES(property_name=property_value, ...)] -- (Note: Available inHive 0.6.0 and later)
[ASselect_statement]; -- (Note: Available in Hive 0.5.0 and later; not supported for external tables)
CREATE[TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name

LIKEexisting_table_or_view_name

[LOCATION hdfs_path];

data_type

:primitive_type

|array_type

|map_type

|struct_type

|union_type -- (Note: Available in Hive 0.7.0 and later)

primitive_type

:TINYINT

|SMALLINT

|INT

|BIGINT

|BOOLEAN

|FLOAT

|DOUBLE

|STRING

|BINARY -- (Note: Available inHive 0.8.0 and later)

|TIMESTAMP -- (Note: Available in Hive 0.8.0 and later)

|DECIMAL -- (Note: Available inHive 0.11.0 and later)

|DECIMAL(precision, scale) -- (Note: Available inHive 0.13.0 and later)

|DATE -- (Note: Available in Hive 0.12.0 and later)

|VARCHAR -- (Note: Available inHive 0.12.0 and later)

|CHAR -- (Note:Available in Hive 0.13.0 and later)

array_type

:ARRAY < data_type >

map_type

:MAP < primitive_type, data_type >

struct_type

:STRUCT < col_name : data_type [COMMENT col_comment], ...>

union_type

:UNIONTYPE < data_type, data_type, ... > -- (Note: Available inHive 0.7.0 and later)

row_format

:DELIMITED [FIELDS TERMINATED BY char [ESCAPED BY char]] [COLLECTION ITEMS TERMINATED BY char]
[MAPKEYS TERMINATED BY char] [LINES TERMINATED BY char]
[NULLDEFINED AS char] -- (Note: Available in Hive 0.13 and later)
|SERDE serde_name [WITH SERDEPROPERTIES (property_name=property_value,property_name=property_value, ...)]

file_format:

:SEQUENCEFILE

|TEXTFILE -- (Default, depending onhive.default.fileformat configuration)

|RCFILE -- (Note: Available inHive 0.6.0 and later)

|ORC -- (Note: Available inHive 0.11.0 and later)

|PARQUET -- (Note: Available inHive 0.13.0 and later)

|AVRO -- (Note:Available in Hive 0.14.0 and later)

|INPUTFORMAT input_format_classname OUTPUTFORMAToutput_format_classname

· 用户可以用 IF NOT EXIST 选项来忽略这个异常。

· EXTERNAL关键字可以让用户创建一个外部表,在建表的同时指定一个指向实际数据的路径(LOCATION),Hive 创建内部表时,会将数据移动到数据仓库指向的路径;若创建外部表,仅记录数据所在的路径,不对数据的位置做任何改变。在删除表的时候,内部表的元数据和数据会被一起删除,而外部表只删除元数据,不删除数据。

· LIKE允许用户复制现有的表结构,但是不复制数据。

· 用户在建表的时候可以自定义 SerDe 或者使用自带的 SerDe。如果没有指定 ROW FORMAT 或者 ROW FORMAT DELIMITED,将会使用自带的 SerDe。在建表的时候,用户还需要为表指定列,用户在指定表的列的同时也会指定自定义的 SerDe,Hive 通过 SerDe 确定表的具体的列的数据。

· 如果文件数据是纯文本,可以使用 STORED AS TEXTFILE。如果数据需要压缩,使用 STORED AS SEQUENCE 。

· 有分区的表可以在创建的时候使用 PARTITIONED BY 语句。一个表可以拥有一个或者多个分区,每一个分区单独存在一个目录下。而且,表和分区都可以对某个列进行 CLUSTERED BY 操作,将若干个列放入一个桶(bucket)中。也可以利用SORT BY 对数据进行排序。这样可以为特定应用提高性能。

· 表名和列名不区分大小写,SerDe 和属性名区分大小写。表和列的注释是字符串

SerDe是Serialize/Deserilize的简称,目的是用于序列化和反序列化。


l 加载数据

LOAD DATA [LOCAL] INPATH 'filepath' [OVERWRITE]INTO TABLE tablename [PARTITION (partcol1=val1, partcol2=val2 ...)]

l 创建桶


Hive入门培训
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

Viewing all articles
Browse latest Browse all 6262

Latest Images

Trending Articles