Q:
 

I have a PostgreSQL table. select * is very slow whereas select id is nice and quick. I think it may be that the size of the row is very large and it's taking a while to transport, or it may be some other factor.

I need all of the fields (or nearly all of them), so selecting just a subset isn't a quick fix. Selecting the fields that I want is still slow.

Here's my table schema minus the names:

integer                  | not null default nextval('core_page_id_seq'::regclass)
character varying(255) | not null
character varying(64) | not null
text | default '{}'::text
character varying(255) |
integer | not null default 0
text | default '{}'::text
text |
timestamp with time zone |
integer |
timestamp with time zone |
integer |

The size of the text field may be any size. But still, no more than a few kilobytes in the worst case.

Questions

  1. Is there anything about this that screams 'crazy inefficient'?
  2. Is there a way to measure page size at the Postgres command-line to help me debug this?
 
 
A1:
 
 
 
 

Q2: way to measure page size

PostgreSQL provides a number of Database Object Size Functions, you can use. I packed the most interesting ones in this query and added some Statistics Access Functions.

This is going to demonstrate that the various methods to measure the "size of a row" can lead to very different results. It all depends what you want to measure exactly.

Replace public.tbl with your (optionally schema-qualified) table name to get a compact view of collected statistics about the size of your rows.

WITH x AS (
SELECT count(*) AS ct
, sum(length(t::text)) AS txt_len -- length in characters
, 'public.tbl'::regclass AS tbl -- provide (qualified) table name here
FROM public.tbl t -- ... and here
)
, y AS (
SELECT ARRAY [pg_relation_size(tbl)
, pg_relation_size(tbl, 'vm')
, pg_relation_size(tbl, 'fsm')
, pg_table_size(tbl)
, pg_indexes_size(tbl)
, pg_total_relation_size(tbl)
, txt_len
] AS val
, ARRAY ['core_relation_size'
, 'visibility_map'
, 'free_space_map'
, 'table_size_incl_toast'
, 'indexes_size'
, 'total_size_incl_toast_and_indexes'
, 'live_rows_in_text_representation'
] AS name
FROM x
)
SELECT unnest(name) AS what
, unnest(val) AS "bytes/ct"
, pg_size_pretty(unnest(val)) AS bytes_pretty
, unnest(val) / ct AS bytes_per_row
FROM x, y UNION ALL SELECT '------------------------------', NULL, NULL, NULL
UNION ALL SELECT 'row_count', ct, NULL, NULL FROM x
UNION ALL SELECT 'live_tuples', pg_stat_get_live_tuples(tbl), NULL, NULL FROM x
UNION ALL SELECT 'dead_tuples', pg_stat_get_dead_tuples(tbl), NULL, NULL FROM x;

I only pack the values in arrays and unnest() again, so I don't have to spell out calculations for every single row repeatedly.

General row count statistics are appended at the end with unconventional SQL-foo to get everything in one query. You could wrap it into a plpgsql function for repeated use, hand in the table name as parameter and use EXECUTE.

Result:

              what                | bytes/ct | bytes_pretty | bytes_per_row
-----------------------------------+----------+--------------+---------------
core_relation_size | 44138496 | 42 MB | 91
visibility_map | 0 | 0 bytes | 0
free_space_map | 32768 | 32 kB | 0
table_size_incl_toast | 44179456 | 42 MB | 91
indexes_size | 33128448 | 32 MB | 68
total_size_incl_toast_and_indexes | 77307904 | 74 MB | 159
live_rows_in_text_representation | 29987360 | 29 MB | 62
------------------------------ | | |
row_count | 483424 | |
live_tuples | 483424 | |
dead_tuples | 2677 | |

The additional module pgstattuple provides more useful functions.

Update for Postgres 9.3+

We could use the new form of unnest() in pg 9.4 taking multiple parameters to unnest arrays in parallel.
But using LATERAL and a VALUES expression, this can be simplified further. Plus some other improvements:

SELECT l.what, l.nr AS "bytes/ct"
, CASE WHEN is_size THEN pg_size_pretty(nr) END AS bytes_pretty
, CASE WHEN is_size THEN nr / x.ct END AS bytes_per_row
FROM (
SELECT min(tableoid) AS tbl -- same as 'public.tbl'::regclass::oid
, count(*) AS ct
, sum(length(t::text)) AS txt_len -- length in characters
FROM public.tbl t -- provide table name *once*
) x
, LATERAL (
VALUES
(true , 'core_relation_size' , pg_relation_size(tbl))
, (true , 'visibility_map' , pg_relation_size(tbl, 'vm'))
, (true , 'free_space_map' , pg_relation_size(tbl, 'fsm'))
, (true , 'table_size_incl_toast' , pg_table_size(tbl))
, (true , 'indexes_size' , pg_indexes_size(tbl))
, (true , 'total_size_incl_toast_and_indexes', pg_total_relation_size(tbl))
, (true , 'live_rows_in_text_representation' , txt_len)
, (false, '------------------------------' , NULL)
, (false, 'row_count' , ct)
, (false, 'live_tuples' , pg_stat_get_live_tuples(tbl))
, (false, 'dead_tuples' , pg_stat_get_dead_tuples(tbl))
) l(is_size, what, nr);

Same result.

Q1: anything inefficient?

You could optimize column order to save some bytes per row, currently wasted to alignment padding:

integer                  | not null default nextval('core_page_id_seq'::regclass)
integer | not null default 0
character varying(255) | not null
character varying(64) | not null
text | default '{}'::text
character varying(255) |
text | default '{}'::text
text |
timestamp with time zone |
timestamp with time zone |
integer |
integer |

This saves between 8 and 18 bytes per row. I call it "column tetris". Details:

Also consider:

A2:
 
An approximation of the size of a row, including the TOAST'ed contents, is easy to get by querying the length of the TEXT representation of the entire row:
SELECT octet_length(t.*::text) FROM tablename AS t WHERE primary_key=:value;

This is a close approximation to the number of bytes that will be retrieved client-side when executing:

SELECT * FROM tablename WHERE primary_key=:value;

...assuming that the caller of the query is requesting results in text format, which is what most programs do (binary format is possible, but it's not worth the trouble in most cases).

The same technique could be applied to locate the N "biggest-in-text" rows of tablename:

SELECT primary_key, octet_length(t.*::text) FROM tablename AS t
ORDER BY 2 DESC LIMIT :N;
注:
1、octet_length(string)函数表示的是Number of bytes in binary string,而length则表示的字符个数。
 
 
 
 
 

Measure the size of a PostgreSQL table row的更多相关文章

  1. Limits on Table Column Count and Row Size Databases and Tables Table Size 最大行数

    MySQL :: MySQL 8.0 Reference Manual :: C.10.4 Limits on Table Column Count and Row Size https://dev. ...

  2. SSMS查看表行数以及使用空间 How to show table row count and space used in SSMS - SSMS Tutorials

    原文:How to show table row count and space used in SSMS - SSMS Tutorials There's a quick and convenien ...

  3. Mysql [Err] 1118 - Row size too large. The maximum row size for the used table type, not counting BLOBs, is 65535.

    对于越来越多的数据,数据库的容量越来越大,压缩也就越来越常见了.在我的实际工作中进行过多次压缩工作,也遇到多次问题,在此和大家分享一下. 首先,我们先说说怎么使用innodb的压缩. 第一,mysql ...

  4. PostgreSQL Table Partitioning<转>

    原创文章,转载请务必将下面这段话置于文章开头处(保留超链接).本文转发自Jason’s Blog,原文链接 http://www.jasongj.com/2015/12/13/SQL3_partiti ...

  5. Fill Table Row(it’s an IQ test question)

    Here is a table include the 2 rows. And the cells in the first row have been filled with 0~4. Now yo ...

  6. datable中table.row() not a funtion 解决方法

    解决办法一: 改为.DataTable({ (初始化时候) 解决办法二: 或者改为var data = myTable.api().row( this ).data();(获取值的时候)

  7. diff函数的实现——LCS的变种问题

    昨天去去哪儿笔试,碰到了一个我们一直很熟悉的命令(diff——ubuntu下面),可以比较字符串,即根据最长公共子串问题,如果A中有B中没有的字符输出形式如下(-ch),如果A中没有,B中有可以输出如 ...

  8. (算法)AA制

    题目: A.B.C.D四个人去吃大餐,吃饭去说好,付钱时AA制,但最后结账时,因为4个人带的钱不一样多,最后A付了112元,B付了86元,C付了10元,D没带钱,所以没有付: 但AA制需要平摊餐费,所 ...

  9. mysql 报Row size too large 65535 原因与解决方法

    报错信息:Row size too large. The maximum row size for the used table type, not counting BLOBs, is 65535 ...

随机推荐

  1. CsvHelper文档-3写

    CsvHelper文档-3写 不用做任何设置,默认的情况下,csvhelper就可以很好的工作了.如果你的类的属性名称和csv的header名称匹配,那么可以按照下面的例子写入: var record ...

  2. [转载] Centos7的安装、Docker1.12.3的安装,以及Docker Swarm集群的简单实例

    1.环境准备 ​ 本文中的案例会有四台机器,他们的Host和IP地址如下 c1 -> 10.0.0.31 c2 -> 10.0.0.32 c3 -> 10.0.0.33 c4 -&g ...

  3. JQuery 异步提交数据

    类别添加   名称:  &nbsp 正在发送数据请求… <% dim strValue blnLogin = false; strValue = request.Form("t ...

  4. sql注入waf绕过简单入门

    0x1  白盒 0x2 黑盒 一.架构层 1.寻找源站==> 2.利用同网段==> 3.利用边界漏洞==> ssrf只是一个例子 二.资源限制 Waf为了保证业务运行,会忽略对大的数 ...

  5. loadrunner11--基础使用

    每次开启电脑都需要破解一次Lr,汉化版的有问题,建议使用英文版的.我测试的环境是Windows7+IE8+LR11.(在Windows10上试过,谷歌和IE11都不能正常运行),以下我会具体来操作,最 ...

  6. The Bits (思维+找规律)

    Description Rudolf is on his way to the castle. Before getting into the castle, the security staff a ...

  7. 【Alpha】阶段第四次Scrum Meeting

    [Alpha]阶段第四次Scrum Meeting 工作情况 团队成员 今日已完成任务 明日待完成任务 刘峻辰 获取课程评论接口 增加课程接口 赵智源 整合前端进行部署 整合前端进行部署 肖萌威 编写 ...

  8. 【Biocode】产生三行的seq+01序列

    代码说明: sequence.txt与site.txt整合 如下图: sequence.txt: site.txt: 整理之后如下: 蛋白质序列中发生翻译后修饰的位置标记为“1”,其他的位置标记为“0 ...

  9. CentOS7 修改分辨率

    1. 修改文件: vi /boot/grub2/grub.cfg 2. 在linux16 开头的哪一行 增加 vga=0x341 修改为1024x768 3. 重启..

  10. BER-TLV数据结构【转】

    转自:https://www.cnblogs.com/SCPlatform/p/5076935.html 为了便于后文的引用说明,先列出一段TLV结构的数据: [6F] 4D │ ├─[84] 07 ...