PostgreSQL sql 总结

 

 

 

//更新过期的

update  

capture  set  flag=1    where   (extract (epoch from  now())::bigint-extract (epoch from capture_time )::bigint)>time_val

--系统表

 

pg_stat_activity 数据库活动进程视图

 

Pg_database 系统数据库字典

Pg_stat_database系统统计数据库字典视图

Pg_stat_sys_tables 系统字典表

Pg_stat_sys_indexes系统字典表索引

Pg_stat_user_tables用户表

Pg_stat_user_indexes 用户表索引

pg_stat_all_tables 数据库所有的表（包括系统表和用户表）

pg_stat_all_indexs数据库所有的表的索引（包括系 统表和用户表的索引）

 select datname,procpid,query_start,current_query,waiting,client_addr ,usename from pg_stat_activity  ;

 --查询更新语句

 select datname,procpid,query_start,current_query,waiting,client_addr ,usename from pg_stat_activity  where  and current_query like '%update%';  

ps aux|grep postgres|grep 14190

 

--取消查询语句

select pg_cancel_backend(14190);

 

--kill 各种sql

pg_terminate_backend(pid int),

 

 

psql -h .. -p .. -d db_name -U username  -c "copy public.test_1 to stdout" > test_1.out

--

除0

 

NULLIF 等价＝case when

select   count(nullif(answer_time_of_date,'0')) as succ_calls  from  client_cdr

select     count(case  when  answer_time_of_date  ='0' then null else answer_time_of_date end) as succ_calls  from  client_cdr

 

select    count(case  when  release_cause_from_protocol_stack  ~* '^486*' then release_cause_from_protocol_stack else null end) as busy_calls  from  client_cdr 

exchange=# select  3/NULLIF(0,0);

 

SELECT COALESCE(SUM(amount), 0) / NULLIF(SUM(current_balance), 0) as average_price FROM client_payment

 

--防止除0  

 

select  3/0

select   3/NULLIF(0,0)

SELECT COALESCE(SUM(cost), 0) / NULLIF(SUM(amount), 0) as average_price FROM sales

 

 

SELECT *, first_name||' '||last_name AS full_name FROM test_table;

--取出几个列中最大的值

select        LEAST(current_balance,amount)   from    client_payment  where   client_payment_id=1 

--取出几个列中最大的值

select        greatest(current_balance,amount)   from    client_payment  where   client_payment_id=1 

--取出几个列中不为空的值

select             COALESCE(current_balance,amount)     from    client_payment  where   client_payment_id=1 

--取出几个列中空的值

select             NULLIF(current_balance,amount)     from    client_payment  where   client_payment_id=1 

 

 

在PostgreSQL中实现行号

2010-05-28 09:30

建立一个序列，每次查询果将其当前值设置为0，然后用nextval()函数取值就可以

create sequence test_row;

select setval('test_row',1);

select nextval('test_row')-1 as rowno ,table.* from table;

 

 

:%s/,\n/\r/g  --去掉最后一个,

 

 

:%s/^1//g--去掉第一个1

 

 

 

 

--PostgreSQL中如何删除重复记录

--ostgreSQL中删除重复记录其实很简单，不论有多少行重复，只要在要删除重复记录的表中table加一列rownum字段(id为table表中的主键)，类型设置为serial类型即可，然后执行sql

--删除原理   添加一个自增列,  按照 重复的 字段分组，取出rownum最大的一列,这一列就是去掉重复后的列

insert   into version    values(3,'22','333')

 

--添加自增字段

ALTER TABLE "version" ADD COLUMN rownum   serial;

--去掉重复后的结果

select   *   from    version   where  rownum  in  (   select    max(rownum)   from    version   group by  table_name )

 --删除重复

   delete   from    version   where  rownum   not  in  ( select    max(rownum)   from    version   group by  table_name )

 

 

--知道有什么用户在访问，访 问什么库以及访问的进程

select datid,datname,procpid,usename, xact_start from pg_stat_activity;

 

--kill 查询  ill  Select 查询，而updae,delete DML不生效

 select pg_cancel_backend(线程id);

 

 

--查看有哪些SQL正在执行

select datname,procpid,query_start,current_query,waiting,client_addr from pg_stat_activity where waiting='t';

 

 

 

 

 

--最近15分钟的acd ,asr ,pdd,ca

 

--15 min

       select   

       sum(call_count_asr::integer*asr::real)/sum(call_count_asr::integer) as asr,

       (sum(acd::real)/sum(call_count::integer))/60 as acd,

       (sum(pdd::real) / sum(call_count::integer)) as pdd, sum(ca::integer) as ca

       into  r     from  host_info

       where ip=host_ip and   time::bigint between extract(epoch from now())::bigint-(60*15)      and  extract(epoch from now())::bigint;

 

select extract (epoch from  now())::bigint  //当前时间对应的时间戳

select  now()//现在时间

 

update host_info  set time=(select  extract(epoch from '2010-12-21     01:52:10.849097+00'::timestamp with time zone )::bigint)

 

--累加sql

select  invoice_id,  client_id ,

(select sum(total_amount) as past_due from invoice as inner_invoice where client_id = invoice.client_id and inner_invoice.invoice_end <= invoice.invoice_end)  as total from invoice;

 

update host_info  set time=(select  extract(epoch from '2010-12-20 11:22:10.849097+00'::timestamp with time zone )::bigint)

 

----------备份cdr

class4_pr=# copy (select *  from  client_cdr   limit  1)    to  '/tmp/exports/cdr.csv'   csv  HEADER;

 

--导入cdr

class4_pr=# copy client_cdr  from '/tmp/exports/cdr.csv'  csv  HEADER ;

 

 

 

 

---------------------------------------------------------------重建触发器

 psql carry_sst  < /home/test/record.sql 

 

 

 SELECT * 

      FROM prefixes

     WHERE prefix @> '0123456789'

  ORDER BY length(prefix) DESC

     LIMIT 1;

 

 

EXPLAIN ANALYZE 

 

touch /var/lock/subsys/local

svnserve -d -r /shanmin/svn

 

 

 

 

----------------------------------------------------------------------

COPY----------- 用法-

-----------------------------------------------------------------------

COPY  error_message_info  FROM   '/tmp/message.csv'  CSV HEADER ;//导入

COPY  (select * from   error_message_info  limit 2)  TO   '/tmp/message1.csv'  CSV HEADER ;//导出

 

 

 

 

 

---case when  用法

  case when call_duration='' then '0' ELSE call_duration end ,

 

select    call_count,  case   when call_count='0'  then '1' ELSE   call_count  end 

 

  from  host_info  where    call_count='0'

 

 

 

 

 

 

---v---------------v------------------各种时间转换---v------------------v---------------

 

 

 SELECT   to_timestamp(start_time_of_date::bigint) as time  from  cdr 

 

--时间处理

select     extract(epoch from      (logout_time -login_time ))  from  acd_login_log

 

 

SELECT EXTRACT(EPOCH FROM INTERVAL '5 days 3 hours');

 

 

 

 

 

实现按月按年，按日统计

把数据库里的数据按每一天统计当天的点击量，当然是用 group by，可惜问题是时间字段存储为bigint型，看来还得先转成timestamp型的，于是翻了手册，写了如下SQL搞定！

 

select to_char(to_timestamp(accesstime), ‘YYYY-MM-DD’) as d, count(validclick) as c from dbtm_ad_list group by d order by c desc

 

其中to_timestamp()函数将int型数据转换为timestamp类型的值，格式为”YYYY-MM-DD”， 再将其值用to_char()函数转换为文本类型，便可以用group by分组了。

 

 

  select        ( current_timestamp(0) - interval '24 hour')

--将微秒改为时间戳

SELECT  to_timestamp(substring(answer_time_of_date from 1 for 10) ::bigint)from  client_cdr   

//更新当前时间 

update  host_info  set     time=(select  EXTRACT(EPOCH from current_timestamp(0)))::text

select     *  from current_timestamp(0)    =="2010-11-10 10:40:46+08"

 

select  EXTRACT(EPOCH from current_timestamp(0))  (1289356894)

 

--将 1289356894转换为  2010-11-10 10:40:46+08

SELECT   to_timestamp(time::bigint)    from  host_info   

-- Column: create_time  给字段设置默认值为当前时间

-- ALTER TABLE account_balance DROP COLUMN create_time;

 

ALTER TABLE account_balance ADD COLUMN create_time timestamp with time zone;

ALTER TABLE account_balance ALTER COLUMN create_time SET STORAGE PLAIN;

ALTER TABLE account_balance ALTER COLUMN create_time SET NOT NULL;

ALTER TABLE account_balance ALTER COLUMN create_time SET DEFAULT ('now'::text)::timestamp(0) with time zone;

COMMENT ON COLUMN account_balance.create_time IS '改动时间';

 

 

 

---v---------------v------------------各种时间转换---v------------------v---------------

 

 

 

 

--导出数据库表结构

[root@class4 tmp]# /usr/local/pgsql/bin/pg_dump  -s  class4v3_test  >  tmp.sql

--导入数据库表结构

[root@class4 tmp]# psql class4v3   < tmp.sql 

--sql  

 CASE account_payment.payment_method

            WHEN 0 THEN '系统充值卡 '::text

            WHEN 1 THEN '快钱'::text

            WHEN 2 THEN '系统管理员(手工充值)'::text

            WHEN 3 THEN '易宝'::text

            ELSE 'other'::text

        END AS payment_method1,

 

--pg_dump 导出sql数据

   .   

  利用select into语句创建一个临时表，然后使用pg_dump导出临时表。  

 select * into test_tbl from some_tbl where some_field > some_value;  

  pg_dump -d db_name -t test_tbl > /tmp/test.sql  

 

 /tmp/test.sql里面包含的，就是要求的特定记录了。  

 

 

 

 

 

 

--模糊查询

 

$condition="'%".$key."%'";

 

select resource.alias,resource.resource_id , resource.name ,cps_limit,capacity,ingress,egress,active, a.ip_cnt , client_id

   from  resource

left join (select count(*)as  ip_cnt,resource_id from resource_ip    group by  resource_id) a   on  a.resource_id=resource.resource_id

 

where resource.name   like $condition 

or resource.alias like $condition

or ( select count(*)>0 from resource_ip where resource_ip.resource_id =resource.resource_id and resource_ip.ip::varchar like $condition )

order by resource.resource_id   limit '$pageSize' offset '$offset'

 

 

 

-- --前缀匹配的用法  只取

select into id_rate rate_id from rate

where rate_table_id = id_rate_table and code @> NEW.origination_destination_number::prefix_range and current_timestamp between effective_date and end_date order by code desc limit 1;

 

  $code_where="  and  origination_destination_number::prefix_range <@ '$code'";

 

select  * from  cdr  where origination_destination_number::prefix_range <@ '$code'";

 

 

select trunk.trunk_ip||':'||trunk.port address, trunk.trunk_id from

prefix,trunk where trunk.trunk_id = prefix.trunk_id and prefix_code @>'%

s'  order by length (prefix_code::text) desc limit 1 

 

 

--in的替代解决办法

 

SELECT　*

FROM　tab

WHERE　col1　IN　(SELECT　col2　FROM　TAB2)

 

 

  select  * from client  where client_id::text in (select     client_id  from   class4_view_client_cost  )

 

改为：　

   select  * from client  where  exists(select client_id from class4_view_client_cost

     where class4_view_client_cost.client_id::integer=client.client_id)

 

SELECT　*

FROM　tab

WHERE　EXISTS　(SELECT　col2　FROM　TAB2　WHERE　col1　=　col2) 

 

 

 

 

--建立索引

 

-- Index: code_index_code

 

-- DROP INDEX code_index_code;

 

CREATE INDEX code_index_code

  ON code

  USING btree

  (code);

 

 

 --索引测试

--索引前执行   4452 ms

select * from  class4_view_client_cost  

--索引后执行 14ms

 

 

 

 

--prefix 特有的索引

 

-- Index: idx_code_prefix

 

-- DROP INDEX idx_code_prefix;

 

CREATE INDEX idx_code_prefix

  ON code

  USING gist

  (code gist_prefix_range_ops);

 

 

 

 

 

 

--导出sql 

 

 

$copy_sql = "COPY ($download_sql)  TO   '$copy_file'  DELIMITER '$DELIMITER'  CSV $HEADER "; //daochu

 

--导入sql

 

 

cmd:='COPY ' || table_name || '(ani,dnis,action_ani,action_dnis,ani_method,dnis_method)  FROM  '''||filecsv ||''' CSV HEADER';

 

 

 

--删除重复行

 

 

id name score

1 aaa 30

2 aaa 30

3 aaa 36

4 bbb 30

5 bbb 30

6 aaa 30

7 bbb 30

8 ccc 24

9 ccc 51

 

 

 

保留同NAME中ID最小.

 

delete tb from tb t where id not in (select min(id) from tb where name = t.name)

 

保留同NAME中ID最大.

 

delete tb from tb t where id not in (select max(id) from tb where name = t.name)

 

 

 

 

 

 

 

 

相关方法见下:

 

--如何按字段删除重复记录

 

一张表里面以两个字段为唯一字段，当几条记录的这两个字段完全相同时，需要删除重复项，如下表

a b c d

1 2 3 4

1 5 3 5

1 2 7 9

以a、b为唯一字段，第一条和第三条的a、b完全相同，所以，需要删除第一条记录1 2 3 4 或者第三条记录1 2 7 9

即如下结果：

a b c d

1 2 3 4

1 5 3 5

或

a b c d

1 5 3 5

1 2 7 9

 

 

 

CREATE TABLE Tb1(id int, [a] varchar(255), [b] varchar(255), [c] varchar(255), [d] varchar(255))

INSERT Tb1(id, [a], [b], [c], [d])

  SELECT 1, '1','2','3','4'

UNION ALL SELECT 2, '1','5','3','5'

UNION ALL SELECT 3, '1','2','7','9'

UNION ALL SELECT 4, '1','4','7','6'

 

delete Tb1 where [id] not in (select max([id]) from Tb1 group by a,b )

select * from tb1

 

drop table tb1

 

如果要同时删除第一和第三行

即如下结果：

a b c d

1 5 3 5

 

语句如下：

 

delete m from tb t

inner join

(

select a ,b

from tb

group by a , b

having count(*)>1

)n

on m.a = n.a and m.b = n.b 

或

delete * from tb as m,

(

select a ,b

from tb

group by a , b

having count(*)>1

)n

where m.a = n.a and m.b = n.b 

 

 

 

 

 

 

 

 

------------------------------------------------------------------------------------

在几千条记录里,存在着些相同的记录,如何能用SQL语句,删除掉重复的呢?谢谢!

1、查找表中多余的重复记录，重复记录是根据单个字段（peopleId）来判断

select * from people

where peopleId in (select peopleId from people group by peopleId having count(peopleId) > 1)

 

2、删除表中多余的重复记录，重复记录是根据单个字段（peopleId）来判断，只留有rowid最小的记录

delete from people 

where peopleId in (select peopleId from people group by peopleId having count(peopleId) > 1)

and rowid not in (select min(rowid) from people group by peopleId having count(peopleId )>1)

 

3、查找表中多余的重复记录（多个字段） 

select * from vitae a

where (a.peopleId,a.seq) in (select peopleId,seq from vitae group by peopleId,seq having count(*) > 1)

 

4、删除表中多余的重复记录（多个字段），只留有rowid最小的记录

delete from vitae a

where (a.peopleId,a.seq) in (select peopleId,seq from vitae group by peopleId,seq having count(*) > 1)

and rowid not in (select min(rowid) from vitae group by peopleId,seq having count(*)>1)

 

5、查找表中多余的重复记录（多个字段），不包含rowid最小的记录

select * from vitae a

where (a.peopleId,a.seq) in (select peopleId,seq from vitae group by peopleId,seq having count(*) > 1)

and rowid not in (select min(rowid) from vitae group by peopleId,seq having count(*)>1)

 

比方说在A表中存在一个字段“name”，而且不同记录之间的“name”值有可能会相同，

现在就是需要查询出在该表中的各记录之间，“name”值存在重复的项；

Select Name,Count(*) From A Group By Name Having Count(*) > 1

 

如果还查性别也相同大则如下:

Select Name,sex,Count(*) From A Group By Name,sex Having Count(*) > 1

------------------------------------------------------------------------------------------------

declare @max integer,@id integer

declare cur_rows cursor local for select 主字段,count(*) from 表名 group by 主字段 having count(*) >； 1

open cur_rows

fetch cur_rows into @id,@max

while @@fetch_status=0

begin

select @max = @max -1

set rowcount @max

delete from 表名 where 主字段 = @id

fetch cur_rows into @id,@max

end

close cur_rows

set rowcount 0

 

方法二

　　有两个意义上的重复记录，一是完全重复的记录，也即所有字段均重复的记录，二是部分关键字段重复的记录，比如Name字段重复，而其他字段不一定重复或都重复可以忽略。

　　1、对于第一种重复，比较容易解决，使用

select distinct * from tableName

　　就可以得到无重复记录的结果集。

　　如果该表需要删除重复的记录（重复记录保留1条），可以按以下方法删除

select distinct * into #Tmp from tableName

drop table tableName

select * into tableName from #Tmp

drop table #Tmp

　　发生这种重复的原因是表设计不周产生的，增加唯一索引列即可解决。

 

　　2、这类重复问题通常要求保留重复记录中的第一条记录，操作方法如下

　　假设有重复的字段为Name,Address，要求得到这两个字段唯一的结果集

select identity(int,1,1) as autoID, * into #Tmp from tableName

select min(autoID) as autoID into #Tmp2 from #Tmp group by Name,autoID

select * from #Tmp where autoID in(select autoID from #tmp2)

　　最后一个select即得到了Name，Address不重复的结果集（但多了一个autoID字段，实际写时可以写在select子句中省去此列）

select * from tablename where id in (

select id from tablename 

group by id 

having count(id) > 1)

 

 

 

 

delete a

from 表 a where exists(select * from 表 where name=a.name and id>a.id)

 

 

 

 

 

 

 

 

 

--  级联删除  Foreign Key: class4_fkey_code_code_deck_id

 

-- ALTER TABLE code DROP CONSTRAINT class4_fkey_code_code_deck_id;

 

ALTER TABLE code

  ADD CONSTRAINT class4_fkey_code_code_deck_id FOREIGN KEY (code_deck_id)

      REFERENCES code_deck (code_deck_id) MATCH SIMPLE

 

  ON UPDATE NO ACTION ON DELETE CASCADE;

 

--创建序列

CREATE SEQUENCE invocie_item_id_seq

  INCREMENT 1

  MINVALUE 1

  MAXVALUE 9223372036854775807

  START 137

  CACHE 1;

 

 

--设置序列

 

ALTER TABLE invoice_item ALTER COLUMN id SET DEFAULT nextval('invocie_item_id_seq'::regclass);

 

 

 

 

 

 

 

 

 

 

 

 

select * from crosstab

('select code,rate_id,resource_id from resource join rate on

rate.rate_table_id=resource.rate_table_id 

where resource_id in (448,449,450) order by 1,2') 

AS               

ct(code prefix_range, res_id_1 integer, res_id_2 integer, res_id_3

integer, res_id_4 integer, res_id_5 integer, res_id_6 integer, res_id_7

integer, res_id_8

integer)   

 

 

 

 

 

select code,resource_id from resource 

join rate on  rate.rate_table_id=resource.rate_table_id 

where resource_id in (448,449,450) order by 1,2; 

 

 

 

 

 

转载自：http://javatophp.iteye.com/