在标签系统中，通常会有多个属性，每个属性使用一个标签标示，最简单的标签是用0和1来表示，代表true和false。
我们可以把所有的标签转换成比特位，例如系统中一共有200个标签，5000万用户。
那么我们可以通过标签的位运算来圈定特定的人群。
这样就会涉及BIT位的运算。
那么我们来看看PostgreSQL位运算的性能如何？
PostgreSQL 9.5
postgres=# create table t_bit2 (id bit(200));
CREATE TABLE
Time: 1.018 ms
postgres=# insert into t_bit2 select B'10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010' from generate_series(1,50000000);
INSERT 0 50000000
Time: 47203.497 ms
postgres=# select count(*) from t_bit2 where bitand(id, '10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010')=B'10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010';
count
----------
50000000
(1 row)
Time: 14216.286 ms
postgres=# \dt+ t_bit2
List of relations
Schema | Name | Type | Owner | Size | Description
--------+--------+-------+----------+---------+-------------
public | t_bit2 | table | postgres | 2873 MB |
(1 row)PostgreSQL 9.6支持并行查询
postgres=# create table t_bit2 (id bit(200));
CREATE TABLE
Time: 0.933 ms
postgres=# insert into t_bit2 select B'10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010' from generate_series(1,50000000);
INSERT 0 50000000
Time: 51485.962 ms
postgres=# explain (analyze,verbose,timing,costs,buffers) select count(*) from t_bit2 where bitand(id, '10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010')=B'10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010';
QUERY
PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Finalize Aggregate (cost=471554.70..471554.71 rows=1 width=8) (actual time=9667.464..9667.465 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=368140 dirtied=145199
-> Gather (cost=471554.07..471554.68 rows=6 width=8) (actual time=9667.433..9667.454 rows=7 loops=1)
Output: (PARTIAL count(*))
Workers Planned: 6
Workers Launched: 6
Buffers: shared hit=368140 dirtied=145199
-> Partial Aggregate (cost=470554.07..470554.08 rows=1 width=8) (actual time=9663.423..9663.424 rows=1 loops=7)
Output: PARTIAL count(*)
Buffers: shared hit=367648 dirtied=145199
Worker 0: actual time=9662.545..9662.546 rows=1 loops=1
Buffers: shared hit=49944 dirtied=19645
Worker 1: actual time=9661.922..9661.922 rows=1 loops=1
Buffers: shared hit=49405 dirtied=19198
Worker 2: actual time=9662.924..9662.925 rows=1 loops=1
Buffers: shared hit=49968 dirtied=19641
Worker 3: actual time=9662.483..9662.484 rows=1 loops=1
Buffers: shared hit=49301 dirtied=19403
Worker 4: actual time=9663.341..9663.342 rows=1 loops=1
Buffers: shared hit=49825 dirtied=19814
Worker 5: actual time=9663.605..9663.605 rows=1 loops=1
Buffers: shared hit=49791 dirtied=19586
-> Parallel Seq Scan on public.t_bit2 (cost=0.00..470468.39 rows=34274 width=0) (actual time=0.039..5724.642 rows=7142857 loops=7)
Output: id
Filter: (bitand(t_bit2.id, B'1010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101
0101010101010'::"bit") = B'10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010'::"bit")
Buffers: shared hit=367648 dirtied=145199
Worker 0: actual time=0.038..5676.776 rows=6792384 loops=1
Buffers: shared hit=49944 dirtied=19645
Worker 1: actual time=0.046..5675.846 rows=6719080 loops=1
Buffers: shared hit=49405 dirtied=19198
Worker 2: actual time=0.040..5678.657 rows=6795648 loops=1
Buffers: shared hit=49968 dirtied=19641
Worker 3: actual time=0.037..5678.587 rows=6704936 loops=1
Buffers: shared hit=49301 dirtied=19403
Worker 4: actual time=0.039..5667.813 rows=6776072 loops=1
Buffers: shared hit=49825 dirtied=19814
Worker 5: actual time=0.051..5677.367 rows=6771576 loops=1
Buffers: shared hit=49791 dirtied=19586
Planning time: 0.100 ms
Execution time: 9772.925 ms
(41 rows)
Time: 9773.874 ms
postgres=# select count(*) from t_bit2 where bitand(id, '10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010')=B'10101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010101010';
count
----------
50000000
(1 row)
Time: 2326.541 msPostgreSQL 9.6的性能提升：
