GreenPlum 大数据平台--外部表(三)
一,外部表介绍
Greenplum 在数据加载上有一个明显的优势,就是支持数据的并发加载,gpfdisk是并发加载的工具,数据库中对应的就是外部表
所谓外部表,就是在数据库中只有表定义、没有数据,数据都存放在数据库之外的数据文件。greenplum可以对一个外部表执行正常的DML操作,当读取数据的时候,数据库从数据文件中加载数据。外部表支持在segment上并发地告诉从gpfdist导入数据,由于是从segment上导入数据,所以效率很高。
结构图:
外部表需要指定gpfdist的IP和端口,还要有详细的目录地址,文件名支持通配符匹配。可以编写多个gpfdist地址,但是总数不能超过总的segment数量,否则会报错。
GPDB提供两种外部表:可读外部表用于数据装载、可写外部表用于数据卸载。外部表可基于文件、亦可基于WEB,这两种都能实现可读、可写。
当一个查询使用一个常规的外部表,该外部表被认为是可重读的,因为在该查询期间数据是静态的。而对于WEB外部表,数据是不可重读的,因为在该查询的执行期间数据可能会发生变化。
可写外部表用以从数据库表中选择记录并输出到文件、命名管道或其他可执行程序。 比如,可以从GPDB中卸载数据并发送到一个可执行程序,该程序连接到其他数据库或者ETL工具并装载数据到其他地方。 可写外部表还可以用于输出到GPDB的并行MapReduce计算。
可写外部表被定义后,数据即可从数据库表中被选择并插入到该可写外部表。 可写外部表只允许INSERT操作 – SELECT、 UPDATE、 DELETE或TRUNCATE是不允许的。可写外部表输出数据到一个可执行程序,该程序要能够接受流输入数据。
在创建外部表的时候,可以指定分隔符、err表、指定允许出错的数据条数,以及源文件的编码等信息。
二,外部表语法
CREATE [READABLE] EXTERNAL TABLE table_name ( column_name data_type [, ...] | LIKE other_table ) LOCATION ('file://seghost[:port]/path/file' [, ...]) | ('gpfdist://filehost[:port]/file_pattern[#transform]' | ('gpfdists://filehost[:port]/file_pattern[#transform]' [, ...]) | ('gphdfs://hdfs_host[:port]/path/file') FORMAT 'TEXT' [( [HEADER] [DELIMITER [AS] 'delimiter' | 'OFF'] [NULL [AS] 'null string'] [ESCAPE [AS] 'escape' | 'OFF'] [NEWLINE [ AS ] 'LF' | 'CR' | 'CRLF'] [FILL MISSING FIELDS] )] | 'CSV' [( [HEADER] [QUOTE [AS] 'quote'] [DELIMITER [AS] 'delimiter'] [NULL [AS] 'null string'] [FORCE NOT NULL column [, ...]] [ESCAPE [AS] 'escape'] [NEWLINE [ AS ] 'LF' | 'CR' | 'CRLF'] [FILL MISSING FIELDS] )] | 'AVRO' | 'PARQUET' | 'CUSTOM' (Formatter=<formatter specifications>) [ ENCODING 'encoding' ] [ [LOG ERRORS [INTO error_table]] SEGMENT REJECT LIMIT count [ROWS | PERCENT] ] CREATE [READABLE] EXTERNAL WEB TABLE table_name ( column_name data_type [, ...] | LIKE other_table ) LOCATION ('http://webhost[:port]/path/file' [, ...]) | EXECUTE 'command' [ON ALL | MASTER | number_of_segments | HOST ['segment_hostname'] | SEGMENT segment_id ] FORMAT 'TEXT' [( [HEADER] [DELIMITER [AS] 'delimiter' | 'OFF'] [NULL [AS] 'null string'] [ESCAPE [AS] 'escape' | 'OFF'] [NEWLINE [ AS ] 'LF' | 'CR' | 'CRLF'] [FILL MISSING FIELDS] )] | 'CSV' [( [HEADER] [QUOTE [AS] 'quote'] [DELIMITER [AS] 'delimiter'] [NULL [AS] 'null string'] [FORCE NOT NULL column [, ...]] [ESCAPE [AS] 'escape'] [NEWLINE [ AS ] 'LF' | 'CR' | 'CRLF'] [FILL MISSING FIELDS] )] | 'CUSTOM' (Formatter=<formatter specifications>) [ ENCODING 'encoding' ] [ [LOG ERRORS [INTO error_table]] SEGMENT REJECT LIMIT count [ROWS | PERCENT] ] CREATE WRITABLE EXTERNAL TABLE table_name ( column_name data_type [, ...] | LIKE other_table ) LOCATION('gpfdist://outputhost[:port]/filename[#transform]' | ('gpfdists://outputhost[:port]/file_pattern[#transform]' [, ...]) | ('gphdfs://hdfs_host[:port]/path') FORMAT 'TEXT' [( [DELIMITER [AS] 'delimiter'] [NULL [AS] 'null string'] [ESCAPE [AS] 'escape' | 'OFF'] )] | 'CSV' [([QUOTE [AS] 'quote'] [DELIMITER [AS] 'delimiter'] [NULL [AS] 'null string'] [FORCE QUOTE column [, ...]] ] [ESCAPE [AS] 'escape'] )] | 'AVRO' | 'PARQUET' | 'CUSTOM' (Formatter=<formatter specifications>) [ ENCODING 'write_encoding' ] [ DISTRIBUTED BY (column, [ ... ] ) | DISTRIBUTED RANDOMLY ] CREATE WRITABLE EXTERNAL WEB TABLE table_name ( column_name data_type [, ...] | LIKE other_table ) EXECUTE 'command' [ON ALL] FORMAT 'TEXT' [( [DELIMITER [AS] 'delimiter'] [NULL [AS] 'null string'] [ESCAPE [AS] 'escape' | 'OFF'] )] | 'CSV' [([QUOTE [AS] 'quote'] [DELIMITER [AS] 'delimiter'] [NULL [AS] 'null string'] [FORCE QUOTE column [, ...]] ] [ESCAPE [AS] 'escape'] )] | 'CUSTOM' (Formatter=<formatter specifications>) [ ENCODING 'write_encoding' ] [ DISTRIBUTED BY (column, [ ... ] ) | DISTRIBUTED RANDOMLY ]
三,创建外部表
01,语法
gpfdist [-d directory] [-p http_port] [-l log_file] [-t timeout] [-S] [-w time] [-v | -V] [-s] [-m max_length] [--ssl certificate_path] gpfdist -? | --help gpfdist --version
02,启动进程
--创建gpdist进程 [gpadmin@greenplum02 ~]$ mkdir script [gpadmin@greenplum02 ~]$ nohup gpfdist -d /home/gpadmin/script/ -p 8081 -l /home/gpadmin/script/gpfdist.log & [1] 6904 [gpadmin@greenplum02 ~]$ nohup: ignoring input and appending output to ‘nohup.out’ [gpadmin@greenplum02 ~]$ ss -lntup|grep 8081 tcp LISTEN 0 128 :::8081 :::* users:(("gpfdist",pid=6904,fd=6))
---配置读取文件 [gpadmin@greenplum02 script]$ cat test.txt Prague,Jan,101,4875.33 Rome,Mar,87,1557.39 Bangalore,May,317,8936.99 Beijing,Jul,411,11600.67 San Francisco,Sept,156,6846.34 Paris,Nov,159,7134.56 San Francisco,Jan,113,5397.89 Prague,Dec,333,9894.77 Bangalore,Jul,271,8320.55 Beijing,Dec,100,4248.41 q [gpadmin@greenplum02 script]$ pwd /home/gpadmin/script --后面的是错误信息
03,创建外部表
create external table public.test ( country varchar(128), name varchar(128), id int, sale varchar(128) ) location ('gpfdist://192.168.0.222:8081/test.txt') format 'text' (delimiter ',' null as '' escape 'off') encoding 'utf8' log error segment reject limit 3 rows; --- location 文件所在位置,可以直接是本地路径、gpfdist地址、gpfdists地址、gphdfs地址。 --- format 文本类型 --- delimiter 分隔符 --- encoding 编码 --- log error into 错误数据表,记录错误数据,会自动创建。一般都是tablename_err格式,例如t1_err。 --- segment reject limit 错误数据的条数/百分比(rows/percent),超过设置值会报错。最小值是2。用来确保数据的完整性。
结果:
postgres=# create external table public.test99(country varchar(128),name varchar(128),id int,sale varchar(128))location ('gpfdist://192.168.0.222:8081/test.txt')format 'text'(delimiter ',' null as '' escape 'off')encoding 'utf8'log errors segment reject limit 3 rows; CREATE EXTERNAL TABLE postgres=# SELECT * from public.test99 postgres-# ; NOTICE: Found 2 data formatting errors (2 or more input rows). Rejected related input data. country | name | id | sale ---------------+------+-----+---------- Prague | Jan | 101 | 4875.33 Rome | Mar | 87 | 1557.39 Bangalore | May | 317 | 8936.99 Beijing | Jul | 411 | 11600.67 San Francisco | Sept | 156 | 6846.34 Paris | Nov | 159 | 7134.56 San Francisco | Jan | 113 | 5397.89 Prague | Dec | 333 | 9894.77 Bangalore | Jul | 271 | 8320.55 Beijing | Dec | 100 | 4248.41 (10 rows) postgres=# SELECT * from test99; NOTICE: Found 2 data formatting errors (2 or more input rows). Rejected related input data. country | name | id | sale ---------------+------+-----+---------- Prague | Jan | 101 | 4875.33 Rome | Mar | 87 | 1557.39 Bangalore | May | 317 | 8936.99 Beijing | Jul | 411 | 11600.67 San Francisco | Sept | 156 | 6846.34 Paris | Nov | 159 | 7134.56 San Francisco | Jan | 113 | 5397.89 Prague | Dec | 333 | 9894.77 Bangalore | Jul | 271 | 8320.55 Beijing | Dec | 100 | 4248.41 (10 rows)
04,数据装载
insert into table select * from table_ext; 内部表<----外部表