Your last query
mysql> select table_name from tables as a left join (select distinct table_name from tables as b) on a.table_name!=b.table_name;
ERROR 1248 (42000): Every derived table must have its own alias
fails because the as b
must be outside the parentheses like this
mysql> select table_name from tables as a left join (select distinct table_name from tables) as b on a.table_name!=b.table_name;
Your method 2 failed
mysql> select count(table_name) as num, table_name from tables group by table_name where num > 1;
because the group by table_name
must be last like this
mysql> select count(table_name) as num, table_name from tables where num > 1 group by table_name;
SUGGESTION
Perhaps you should start with a GROUP BY ... HAVING
query like this
SELECT table_name,COUNT(1) table_count
FROM information_schema.tables
WHERE table_schema NOT IN
('information_schema','performance_schema','mysql')
GROUP BY table_name HAVING COUNT(1) > 1;
This will definitely give all tables whose name appears in multiple databases
Form that as a subquery and join it to gather all databases the table appears in
SELECT
A.table_name,
GROUP_CONCAT(B.table_schema) TheTableAppearsInTheseDatabases
FROM
(
SELECT table_name,COUNT(1) table_count
FROM information_schema.tables
WHERE table_schema NOT IN
('information_schema','performance_schema','mysql')
GROUP BY table_name HAVING COUNT(1) > 1
) A INNER JOIN information_schema.tables B
USING (table_name) GROUP BY A.table_name;
Please notice that I use INNER JOIN
rather than LEFT JOIN
because it will really form a Cartesian product (2704 X 2704) and then perform comparisons.
I know this works because I tried it out in MySQL 5.5.12 on my Windows7 machine
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mysql> SELECT
-> A.table_name,
-> GROUP_CONCAT(B.table_schema) TheTableAppearsInTheseDatabases
-> FROM
-> (
-> SELECT table_name,COUNT(1) table_count
-> FROM information_schema.tables
-> WHERE table_schema NOT IN
-> ('information_schema','performance_schema','mysql')
-> GROUP BY table_name HAVING COUNT(1) > 1
-> ) A INNER JOIN information_schema.tables B
-> USING (table_name) GROUP BY A.table_name;
+--------------------------+-------------------------------------------------------------------------------------------------------------------+
| table_name | TheTableAppearsInTheseDatabases |
+--------------------------+-------------------------------------------------------------------------------------------------------------------+
| a | junk,test,robottinosino |
| acl | weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive |
| blocks | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| blog | weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive |
| blog_category | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| blog_entrycat | weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive |
| blog_meta | weisci_jaws_staging,weisci_jaws_live,weisci_jaws_archive,weisci_jaws_staging2 |
| blog_trackback | weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_staging |
| calendar_events | weisci_jaws_staging,weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2 |
| calendar_meta | weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_staging |
| calendar_questions | weisci_jaws_staging,weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2 |
| calendar_tickets | weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_staging |
| calendar_transactions | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_staging,weisci_jaws_archive |
| captcha_complex | weisci_jaws_staging,weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2 |
| change_log | test,junk |
| chat_staff | test,junk |
| comments | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_staging,weisci_jaws_archive |
| donations_charities | weisci_jaws_staging,weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2 |
| donations_charities_meta | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| donations_donations | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| foo_reference1 | timpost1,timpost2 |
| foo_reference2 | timpost1,timpost2 |
| foo_reference3 | timpost1,timpost2 |
| groups | weisci_jaws_staging,weisci_jaws_archive,weisci_jaws_live,weisci_jaws_staging2 |
| ipvisitor | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| job_post | giannosfor,test |
| layout | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| listeners | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| mediamanager_files | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_staging |
| mediamanager_group | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| mediamanager_photos | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| mediamanager_video | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| menus | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| menus_groups | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| mytable | ryanzec,user1267617,cabita,dotancohen,johnlocke,neeraj,test,user391986,cool_cs,javier,mathieu |
| mytext | jakobud,newstuff |
| occupation_field | giannosfor,test |
| policy_agentblock | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| policy_ipblock | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| prova | veto,vito |
| registry | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| registry_bk | weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| session | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| static_pages | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| static_pages_translation | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| t | preeti,rollup_test |
| t1 | abidibo,test |
| t2 | test,abidibo |
| t3 | test,abidibo |
| table1 | table_test,supercoolville,test |
| table2 | supercoolville,test,table_test |
| tags | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| tags_content | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| tbl_banner_position | weisci_jaws_staging2,weisci_jaws_live |
| tbl_banner_upload | weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| tbl_global_banner | weisci_jaws_staging2,weisci_jaws_live |
| tms_authors | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| tms_repositories | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| tms_themes | weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging |
| updates | test,junk |
| url_aliases | weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2,weisci_jaws_archive |
| url_maps | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| users | weisci_jaws_archive,weisci_jaws_staging,giannosfor,veto,weisci_jaws_live,weisci_jaws_staging2,friends,sample,vito |
| users_groups | weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live,weisci_jaws_staging2 |
| users_meta | weisci_jaws_staging2,weisci_jaws_archive,weisci_jaws_staging,weisci_jaws_live |
+--------------------------+-------------------------------------------------------------------------------------------------------------------+
65 rows in set (0.91 sec)
mysql>
Give it a Try !!!
If I guessed the missing pieces correctly, this query using a crosstab()
function should do the job (and much faster than the original - except for small cardinalities where not much can be gained to begin with):
It requires that you install the additional module tablefunc
first (once per database. Detailed instructions in this related answer on SO:
PostgreSQL Crosstab Query
SELECT name, project_id, positions, created_day
,yesterday, last_week, last_month, three_month, six_month, last_year
FROM (
SELECT k.name, pr.keyword_id, pr.project_id, pr.created_at::date AS created_day
, array_agg(DISTINCT pr.position) AS positions
FROM project_reports pr
JOIN keywords k ON k.id = pr.keyword_id
GROUP BY k.id, pr.project_id, created_day -- k.id being the pk
) sub
LEFT JOIN crosstab(
$$SELECT ARRAY[keyword_id, project_id], created_at::date, array_agg(DISTINCT position)
FROM project_reports
WHERE created_at::date IN (
current_date - 1
, current_date - 7
, (now() - interval '1 mon')::date
, (now() - interval '3 mon')::date
, (now() - interval '6 mon')::date
, (now() - interval '12 mon')::date
)
GROUP BY 1,2
ORDER BY 1,2$$
,$$VALUES
(current_date - 1)
,(current_date - 7)
,((now() - interval '1 mon')::date)
,((now() - interval '3 mon')::date)
,((now() - interval '6 mon')::date)
,((now() - interval '12 mon')::date)$$
) AS t (
kp int[]
, yesterday int[]
, last_week int[]
, last_month int[]
, three_month int[]
, six_month int[]
, last_year int[]
) ON t.kp[1] = keyword_id
AND t.kp[2] = project_id;
To break it down, a simple demo of what I am doing in the crosstab:
SELECT * FROM crosstab(
$$SELECT *
FROM (
VALUES
('{1,2}'::int[], current_date - 1, '{1,2}'::int[])
, ('{1,3}'::int[], current_date - 1, '{1,2}'::int[])
, ('{1,2}', current_date - 7, '{5,6,7}'::int[])
, ('{1,3}', current_date - 7, '{5,6,7}'::int[])
, ('{1,2}', (now() - interval '1 mon')::date, '{9,10}'::int[])
-- 3 mon missing
, ('{1,2}', (now() - interval '6 mon')::date, '{6,6,6}'::int[])
-- 12 mon missing
) sub
ORDER BY 1,2$$
,$$VALUES
(current_date - 1)
,(current_date - 7)
,((now() - interval '1 mon')::date)
,((now() - interval '3 mon')::date)
,((now() - interval '6 mon')::date)
,((now() - interval '12 mon')::date)$$
) AS t (
kp int[]
, yesterday int[]
, last_week int[]
, last_month int[]
, three_month int[]
, six_month int[]
, last_year int[]
);
Result:
kp | yesterday | last_week | last_month | three_month | six_month | last_year
-------+-----------+-----------+------------+-------------+-----------+-----------
{1,2} | {1,2} | {5,6,7} | {9,10} | | {6,6,6} |
{1,3} | {1,2} | {5,6,7} | | | |
The rest should be obvious.
Comments
I de-coupled the two parts and fused the plethora of correlated subqueries into a single subquery, which should be much faster. Then I use cross tabulation pull individual columns from this query. The syntax for crosstab()
is the tricky part.
I am not joining to project_keywords
, it seems to be just noise. I am suspecting problems in your relational model.
I seems you should include the project_id
in the result to make sense. Else you should not GROUP BY it ...
You can just subtract integer
from date
.
Best Answer
The queries you show do something potentially quite different. To achieve your declared objective:
Result:
db<>fiddle here
FULL [OUTER] JOIN
keeps all rows, even without match on the other side.Results in
NULL
values where no rows are found - which I replace with0
usingCOALESCE
as an optional addition.date_trunc()
is faster and more reliable thanto_char()
. Aggregate and join on the truncated timestamp and only format once withto_char()
in the outerSELECT
.