SELECT jargons.jargon as jargon,
jargons.description as description,
jargons.example as example,
IF(jargons.rootJargon != 0, (SELECT jargon FROM jargons WHERE id = jargons.rootJargon), NULL) as rootJargonName
FROM jargons
LEFT JOIN users ON users.id = jargons.addedBy
ORDER BY jargons.id DESC
I have two rows inside jargons table:
"id" "jargon" "description" "example" "rootJargonName" "rootJargon"
"2" "Child" "jd" "1" NULL 1
"1" Root" "sad" "1" NULL 0
Why does the rootJargonName returns null instead of Root on Child row?
What I was trying to do is that if rootJargon column is not equals to zero then select the row with the id that specified in the column which is not equals to zero.
It's likely a table alias issue you're seeing, but you can rewrite this using a LEFT JOIN:
SELECT J.jargon as jargon,
J.description as description,
J.example as example,
R.jargon As rootJargonName
FROM jargons as J
LEFT JOIN users as U ON U.id = J.addedBy
LEFT JOIN jargons as R ON J.rootJargon = R.ID
ORDER BY J.id DESC
If you would like to keep the IF() function, you can use the following, however I recommend using the LEFT JOIN.
SELECT J.jargon as jargon,
J.description as description,
J.example as example,
IF(J.rootJargon != 0, (SELECT jargon FROM jargons as R WHERE R.id = J.rootJargon), NULL) as rootJargonName
FROM jargons as J
LEFT JOIN users as U ON U.id = J.addedBy
ORDER BY J.id DESC
why dont you try a case
like:
SELECT jargons.jargon as jargon,
jargons.description as description,
jargons.example as example,
CASE
WHEN (jargons.rootJargon == 0) THEN NULL
WHEN (jargons.rootJargon != 0) THEN
(SELECT jargon FROM jargons WHERE id = jargons.rootJargon)
END) AS 'rootJargonName'
FROM jargons
LEFT JOIN users ON users.id = jargons.addedBy
ORDER BY jargons.id DESC
I'm probably wrong somewhere in the syntax but i think thats the idea....
Related
I have a query that is ran on a cron job late at night. This query is then processed through a generator as it has to populate another database and I make some additional processes and checks before it is sent to the other DB.
I am wondering is there anyway for me to speed up this query and hopefully keep it as a single query. Or will I be forced to create other queries and join the data within PHP? This queries the main mautic database.
SELECT c.id as "campaign_id",
c.created_by_user,
c.name,
c.date_added,
c.date_modified,
(SELECT DISTINCT COUNT(cl.lead_id)) as number_of_leads,
GROUP_CONCAT(lt.tag) as tags,
cat.title as category_name,
GROUP_CONCAT(ll.name) as segment_name,
GROUP_CONCAT(emails.name) as email_name,
CASE WHEN c.is_published = 1 THEN "Yes" ELSE "No" END AS "published",
CASE WHEN c.publish_down > now() THEN "Yes"
WHEN c.publish_down > now() AND c.is_published = 0 THEN "Yes"
ELSE "No" END AS "expired"
FROM campaigns c
LEFT JOIN campaign_leads cl ON cl.campaign_id = c.id
LEFT JOIN lead_tags_xref ltx on cl.lead_id = ltx.lead_id
LEFT JOIN lead_tags lt on ltx.tag_id = lt.id
LEFT JOIN categories cat on c.category_id = cat.id
LEFT JOIN lead_lists_leads llist on cl.lead_id = llist.lead_id
LEFT JOIN lead_lists ll on llist.leadlist_id = ll.id
LEFT JOIN email_list_xref el on ll.id = el.leadlist_id
LEFT JOIN emails on el.email_id = emails.id
GROUP BY c.id;
Here is a image of the explain
https://prnt.sc/qQtUaLK3FIpQ
Definitions
Campaign Table:
https://prnt.sc/6JXRGyMsWpcd
Campaign_leads table
https://prnt.sc/pOq0_SxW2spe
lead_tags_xref table
https://prnt.sc/oKYn92O82gHL
lead_tags table
https://prnt.sc/ImH81ECF6Ly1
categories table
https://prnt.sc/azQj_Xwq3dw9
lead_lists_lead table
https://prnt.sc/x5C5fiBFP2N7
lead_lists table
https://prnt.sc/bltkM0f3XeaH
email_list_xref table
https://prnt.sc/kXABVJSYWEUI
emails table
https://prnt.sc/7fZcBir1a6QT
I am only expected 871 rows to be completed, I have identified that the joins can be very large, in the tens of thousands.
Seems you have an useless select DISTINCT .. could you are looking for a count(distinct .. )
In this way you can avoid nested select for each rows in main select ..
SELECT c.id as "campaign_id",
c.created_by_user,
c.name,
c.date_added,
c.date_modified,
COUNT(DISTINCT cl.lead_id) as number_of_leads,
GROUP_CONCAT(lt.tag) as tags,
cat.title as category_name,
GROUP_CONCAT(ll.name) as segment_name,
GROUP_CONCAT(emails.name) as email_name,
CASE WHEN c.is_published = 1 THEN "Yes" ELSE "No" END AS "published",
CASE WHEN c.publish_down > now() THEN "Yes"
WHEN c.publish_down > now() AND c.is_published = 0 THEN "Yes"
ELSE "No" END AS "expired"
FROM campaigns c
LEFT JOIN campaign_leads cl ON cl.campaign_id = c.id
LEFT JOIN lead_tags_xref ltx on cl.lead_id = ltx.lead_id
LEFT JOIN lead_tags lt on ltx.tag_id = lt.id
LEFT JOIN categories cat on c.category_id = cat.id
LEFT JOIN lead_lists_leads llist on cl.lead_id = llist.lead_id
LEFT JOIN lead_lists ll on llist.leadlist_id = ll.id
LEFT JOIN email_list_xref el on ll.id = el.leadlist_id
LEFT JOIN emails on el.email_id = emails.id
GROUP BY c.id;
anyway be sure you have a proper composite index on
table campaign_leads columns campaign_id, lead_id
table lead_tags_xref columns lead_id, tag_id
table lead_lists_leads columns lead_id, leadlist_id
table email_list_xref columns leadlist_id, email_id
I have a query which gives result as below, how to replace duplicate values with NULL
Query:
SELECT
word.lemma,
synset.definition,
synset.pos,
sampletable.sample
FROM
word
LEFT JOIN
sense ON word.wordid = sense.wordid
LEFT JOIN
synset ON sense.synsetid = synset.synsetid
LEFT JOIN
sampletable ON synset.synsetid = sampletable.synsetid
WHERE
word.lemma = 'good'
Result:
Required Result: all the greyed out results as NULL
First, this is the type of transformation that is generally better done at the application level. The reason is that it presupposes that the result set is in a particular order -- and you seem to be assuming this even with no order by clause.
Second, it is often simpler in the application.
However, in MySQL 8+, it is not that hard. You can do:
SELECT w.lemma,
(CASE WHEN ROW_NUMBER() OVER (PARTITION BY w.lemma, ss.definition ORDER BY st.sample) = 1
THEN ss.definition
END) as definition,
ss.pos,
st.sample
FROM word w LEFT JOIN
sense s
ON w.wordid = s.wordid LEFT JOIN
synset ss
ON s.synsetid = ss.synsetid LEFT JOIN
sampletable st
ON ss.synsetid = st.synsetid
WHERE w.lemma = 'good'
ORDER BY w.lemma, ss.definition, st.sample;
For this to work reliably, the outer ORDER BY clause needs to be compatible with the ORDER BY for the window function.
If you are using Mysql 8 try with Rank().. As I didn't have your table or data couldn't test this query.
SELECT
word.lemma
,case when r = 1 synset.definition else null end as definition
,synset.pos
,sampletable.sample
FROM
(
SELECT
word.lemma
,synset.definition
,synset.pos
,sampletable.sample
,RANK() OVER (PARTITION BY synset.definition ORDER BY synset.definition) r
FROM
(
SELECT
word.lemma,
synset.definition,
synset.pos,
sampletable.sample
FROM
word
LEFT JOIN
sense ON word.wordid = sense.wordid
LEFT JOIN
synset ON sense.synsetid = synset.synsetid
LEFT JOIN
sampletable ON synset.synsetid = sampletable.synsetid
WHERE
word.lemma = 'good'
) t
)t1;
I am trying to SELECT from one table and count from two other tables based on the rows from the first table. I tried the following code below but the rows keep coming empty.
SELECT list.id, list.title, list.body, list.poster, list.created_at, count(comments.id) as comcount, count(supports.topic_id) as supcount
FROM (
SELECT *
FROM topics
ORDER BY created_at DESC
LIMIT 5
) AS list, comments, supports
WHERE
list.id = comments.id OR
list.id = supports.topic_id
Through in this scenario table topics has only two rows and tables comments and supports have no rows in them, but yet still I should be able to get two rows with their aliases supcount and comcount each having a value 0 as an output.
I got the solution to the above but am trying something else with the solution provided which I explained in the comment area of the solution provided.
SELECT
t.id,
t.title,
t.body,
t.poster,
t.created_at,
s.supporter,
IFNULL((SELECT COUNT(*) FROM comments c WHERE c.id = t.id), 0) AS comcount,
IFNULL((SELECT COUNT(*) FROM supports s WHERE s.topic_id = t.id), 0) AS supcount,
CASE WHEN (s.supporter = "Davies Alex") THEN '1' ELSE '0' END sup,
CASE WHEN (c.commenter = "Davies Alex") THEN '1' ELSE '0' END com
FROM topics t, comments c, supports s
ORDER BY created_at DESC
This gonna be working, give a try (using subquery for just counting entries in another table is more suitable):
SELECT
id,
title,
body,
poster,
created_at,
IFNULL((SELECT COUNT(*) FROM comments c WHERE c.id = t.id), 0) AS comcount,
IFNULL((SELECT COUNT(*) FROM supports s WHERE s.topic_id = t.id), 0) AS supcount
FROM topics t
ORDER BY created_at DESC
LIMIT 5
Update for new requirement:
SELECT
t.id,
t.title,
t.body,
t.poster,
t.created_at,
s.supporter,
IFNULL(COUNT(c.id), 0) AS comcount,
IFNULL(COUNT(s.id), 0) AS supcount,
SUM(IF(s.supporter IS NOT NULL AND s.supporter = "Davies Alex", 1, 0)) > 0 AS sup,
SUM(IF(c.commenter IS NOT NULL AND c.commenter = "Davies Alex", 1, 0)) > 0 AS com
FROM topics t
LEFT JOIN comments c ON c.id = t.id
LEFT JOIN supports s ON s.topic_id = t.id
GROUP BY t.id
ORDER BY created_at DESC
In your query, you require list.id to either match comments.id or supports.topic_id. If you use an outer join, you'll be able to retrieve data from the initial table even though the joined tables don't match or contain any data.
SELECT
topics.id, topics.title, topics.body, topics.poster, list.created_at,
count(comments.id) as comcount,
count(supports.topic_id) as supcount
FROM lists
LEFT JOIN comments ON comments.id = topics.id
LEFT JOIN supports ON supports.topic_id = topics.id
ORDER BY created_at DESC
LIMIT 5
I have a table (edu_posts) which contains posts. The field "post_receiver" usually contains a user_id, but sometimes it may contain an event ID (syntax: event-ID) and I have created a statement like this:
SELECT
p.*,
u.firstname AS post_author_firstname,
u.lastname AS post_author_lastname,
u3.firstname AS receiver_firstname,
u3.lastname AS receiver_lastname,
pl.like_author AS user_likes,
CASE
WHEN p.post_receiver REGEXP '^[a-z]'
THEN
SUBSTRING_INDEX(
SUBSTRING_INDEX(p.post_receiver, '-', 2),
'-',
- 1
)
END
AS event_id,
e.event_name AS event_name
FROM
edu_posts p
LEFT JOIN edu_users u ON u.user_id = p.post_author
LEFT JOIN edu_users u3 ON u3.user_id = p.post_receiver
LEFT JOIN edu_likes pl ON pl.like_entity = p.post_id
LEFT JOIN edu_events e ON e.event_id = event_id
AND pl.like_author = 1
GROUP BY
p.post_id,
pl.like_id
ORDER BY
p.post_date DESC
Have a look at CASE and below in the SELECT statement, and the last LEFT JOIN.
I figured I cannot retrieve data from "event_id" i created in the SELECT statement. So what could I do to LEFT JOIN based on EVENT_ID's value?
Maybe this whole progress is too complicated, and instead it would be better and more effective to make a new MySQL call in the PHP code, if post_receiver is equal to: event-someID?
What are your thoughts? Thanks in advance!
I want to list all teams, then count how many times each team appears in my second table. Some users are not in the second table, so the count would be zero. The problem is when I use the count function it only lists users that are in the second table. How do I count, and list 0 if they dont appear in second table?
$query = "SELECT t.id as id, t.t_name as name, t.t_city as city, (count(pd.rs)) as pd FROM #__bl_regions as r, #__bl_teams as t, #__bl_paid as pd WHERE t.id != 0 AND t.id != 1 AND (t.id IN($teams)) AND r.id = ".$t_id." AND pd.rs = 1 AND pd.t_id = ".$t_id." ORDER BY t.t_name";
$db->setQuery($query);
$players = $db->loadObjectList();
Tried Left Join
Ok, so because I am including 3 tables I believe I have to use 2 queries. Same thing is still happening, only listing schools with count. #__bl_paid is the table I want to count, #__bl_teams is the table I want to list all.
$query = "SELECT t.id as id FROM #__bl_regions as r, #__bl_teams as t WHERE t.id != 0 AND t.id != 1 AND (t.id IN($teams)) AND r.id = ".$t_id." ORDER BY t.t_name";
$db->setQuery($query);
$players1 = $db->loadResultArray();
if ($players1){
$players2 = implode(",",$players1);
}else{
$players2 = 0;
}
$query = "SELECT t.id as id, t.t_name as name, t.t_city as city, coalesce((count(pd.rs)),0) as pdc FROM #__bl_paid as pd LEFT JOIN #__bl_teams as t ON pd.t_id = t.id WHERE (t.id IN($players2)) ORDER BY t.t_name";
$db->setQuery($query);
$players = $db->loadObjectList();
You need two pieces to get what you want:
an outer join -- left join is the typical MySQL version used
a way to detect if a column is null, and if so, supply a different value. I often use coalesce
An inner join drops rows that don't have matches in the other table; a left join is similar to an inner join, but preserves all the rows in the left table, and supplies columns with null if there's no matching row in the right table.
Here's an example:
select column1, coalesce(column2, 0) as `newcolumn2`
from lefttable
left join righttable
on lefttable.something = righttable.something
What this will do: whenever column2 is null, it will be replaced with 0.
You should use LEFT JOIN statement instead of INNER JOIN.