I have a problem with this mysql query:
SELECT
CONCAT('Kantor ', o.nama) AS nama,
IF( sj.jenis = 1, CONCAT(sj.sebutan, ' ' , sj.nama), sj.nama) AS sebutan,
(
SELECT
COUNT(fj.id)
FROM
tbl_formasijabatan fj
WHERE
fj.sebutanId = sj.id AND
fj.status = 1 AND
fj.orgId = o.id
) AS total
FROM
tbl_organisasi o
RIGHT JOIN tbl_formasijabatan fjj ON fjj.orgId = o.id
RIGHT JOIN tbl_sebutanjabatan sj ON sj.id = fjj.sebutanId
WHERE
o.id = 1 AND
o.unitKerja > 0
GROUP BY
o.nama,
sj.nama
This query is very long, takes 66 seconds just to get 330 rows.
How can I speed up data retrieval at least within 1-10 seconds?
Well your comment is very helpful for me.
If it requires data I will send the database.
thank you
Maybe you could move that SUBQUERY to a join, that should give you improvement in performance, try something like:
SELECT CONCAT('Kantor ', o.nama) AS nama, if(sj.jenis = 1, CONCAT(sj.sebutan, ' ', sj.nama), sj.nama) AS sebutan, X.total
FROM tbl_organisasi o
RIGHT JOIN tbl_formasijabatan fjj ON fjj.orgId = o.id
RIGHT JOIN tbl_sebutanjabatan sj ON sj.id = fjj.sebutanId
JOIN (SELECT COUNT(fj.id) total, fj.id
FROM tbl_formasijabatan fj
WHERE fj.sebutanId = sj.id
AND fj.status = 1
AND fj.orgId = o.id
GROUP BY fj.id) X
ON X.id = fjj.id
WHERE o.id = 1 AND o.unitKerja > 0
GROUP BY o.nama , sj.nama
Sorry for bad formatting, give it a shot and let me know.
Most of the times you are just missing an index on the columns in the where clause and in the join clause.
You should put an index on
tbl_formasijabatan.orgId
tbl_formasijabatan.sebutanId
tbl_organisasi.unitKerja
alter table `tbl_formasijabatan` add index(`orgId`);
alter table `tbl_formasijabatan` add index(`sebutanId`);
alter table `tbl_organisasi` add index(`unitKerja`);
you can also name the index, but that would be the fastest way. Your query should be quite fast after that, since it is not that much compicated. Actually the group will consume the most time after all, since it needs a temporary table. If you want to dig deeper here you might have a look here
http://dev.mysql.com/doc/refman/5.0/en/group-by-optimization.html
Bottom Line: don't start with a index shutgun action. You should only put index on those columns, that are used for joins and in a lots of where statements. Otherwise you would degrade performance again. A good starting point would be
http://www.percona.com/files/presentations/WEBINAR-tools-and-techniques-for-index-design.pdf
Related
In a current web project of mine, we are implementing a complex search function. As part of that search functionality, we are using the MySQL COUNT function to be able to return the number of matching results.
We are running into a performance hiccup as a result. When getting the actual list of results, MySQL properly uses the indexes we have setup and returns results very quickly. When using the COUNT query, however, the results are sometimes returned very slowly. When examining the execution plans for various search queries, we have discovered that sometimes the COUNT query is doing a full table scan. Other times, despite the query logic being practically identical, the query is using an index. We can't seem to notice any particular pattern that distinguishes the two.
Here is an example of a query that is NOT doing a full table scan:
select COUNT(DISTINCT text.name) AS count
from `text_epigraphy`
inner join `text` ON `text`.`uuid` = `text_epigraphy`.`text_uuid`
inner join `hierarchy` ON `hierarchy`.`uuid` = `text_epigraphy`.`text_uuid`
inner join `text_epigraphy` as `t1` ON `t1`.`text_uuid` = `text_epigraphy`.`text_uuid`
and `t1`.`reading_uuid` in ('01f1e805-1278-ec9b-9f69-fced97bc923e',
'07a120bc-02ec-c1ac-e0ba-532de39766ed', '126f978b-bd99-40f0-8f3b-d2bcec1ed3fe',
'44ec304e-71f4-4995-a30d-0ca6d3bec95a', '4a1d8673-9e30-2d1e-7b87-453dec2886db',
'bce40e36-d6eb-c44a-d114-8c7653a0e68c', 'c9083b77-6122-7933-ea21-63d3777749f3' )
and t1.char_on_tablet=text_epigraphy.char_on_tablet + 1
and t1.line=text_epigraphy.line
inner join `text_epigraphy` as `t2` ON `t2`.`text_uuid` = `text_epigraphy`.`text_uuid`
and `t2`.`reading_uuid` in ('3fc156dc-e831-493e-5dc1-84a547aeb4fa',
'70f9be19-62b6-3fe8-ddda-32bd50a8d36e' )
and t2.char_on_tablet=text_epigraphy.char_on_tablet + 2
and t2.line=text_epigraphy.line
inner join `text_epigraphy` as `t3` ON `t3`.`text_uuid` = `text_epigraphy`.`text_uuid`
and `t3`.`reading_uuid` in ('1ee91402-ebb0-3be9-cc38-9d4187816031',
'25a44259-fe7a-2b73-6e2c-02171c924805', 'a23fd531-c796-353e-4a53-54680248438a',
'd55fa6ad-c523-2e33-6378-b4f2e2a020f1' )
and t3.char_on_tablet=text_epigraphy.char_on_tablet + 3
and t3.line=text_epigraphy.line
where `text_epigraphy`.`reading_uuid` in ('6c0e47d0-00aa-26fb-e184-07038ca64323',
'd8904652-f049-11f9-3f7a-038f1e3b6055', 'eca27c41-d3ca-417c-15e0-db5353ddaefb' )
and 1 = 1
and (1 = 1
or 1 = 0)
limit 1
And yet this query IS doing a full table scan:
select COUNT(DISTINCT text.name) AS count
from `text_epigraphy`
inner join `text` ON `text`.`uuid` = `text_epigraphy`.`text_uuid`
inner join `hierarchy` ON `hierarchy`.`uuid` = `text_epigraphy`.`text_uuid`
inner join `text_epigraphy` as `t1` ON `t1`.`text_uuid` = `text_epigraphy`.`text_uuid`
and `t1`.`reading_uuid` in ('3fc156dc-e831-493e-5dc1-84a547aeb4fa')
and t1.char_on_tablet=text_epigraphy.char_on_tablet + 1
and t1.line=text_epigraphy.line
inner join `text_epigraphy` as `t2` ON `t2`.`text_uuid` = `text_epigraphy`.`text_uuid`
and `t2`.`reading_uuid` in ('1ee91402-ebb0-3be9-cc38-9d4187816031',
'25a44259-fe7a-2b73-6e2c-02171c924805', 'a23fd531-c796-353e-4a53-54680248438a',
'd55fa6ad-c523-2e33-6378-b4f2e2a020f1' )
and t2.char_on_tablet=text_epigraphy.char_on_tablet + 2
and t2.line=text_epigraphy.line
where `text_epigraphy`.`reading_uuid` in ('c9083b77-6122-7933-ea21-63d3777749f3')
and 1 = 1
and (1 = 1
or 1 = 0)
limit 1
Like I said, we can't quite figure out why some searches are doing a full table scan when using COUNT but it is resulting in significantly slower searches. If anyone could help us figure out what is causing the difference and how we might be able to avoid the full table scan or at least optimize the queries.
Can't you remove hierarchy?
What indexes exist on text_epigraphy? This looks useful:
INDEX(line, char_on_tablet, reading_uuid, text_uuid)
On text: INDEX(uuid, name)
After that, please provide EXPLAIN SELECT; then I will look at your question.
My mysql query is too slow and i don't know how to optimize it. My webapp cant load this query because take too much time to run and the webserver have a limit time to get the result.
SELECT rc.trial_id,
rc.created,
rc.date_registration,
rc.agemin_value,
rc.agemin_unit,
rc.agemax_value,
rc.agemax_unit,
rc.exclusion_criteria,
rc.study_design,
rc.expanded_access_program,
rc.number_of_arms,
rc.enrollment_start_actual,
rc.target_sample_size,
(select name from repository_institution where id = rc.primary_sponsor_id) as
primary_sponsor,
(select label from vocabulary_studytype where id = rc.study_type_id) as study_type,
(select label from vocabulary_interventionassigment where id =
rc.intervention_assignment_id) as intervention_assignment,
(select label from vocabulary_studypurpose where id = rc.purpose_id) as study_purpose,
(select label from vocabulary_studymasking where id = rc.masking_id) as study_mask,
(select label from vocabulary_studyallocation where id = rc.allocation_id) as
study_allocation,
(select label from vocabulary_studyphase where id = rc.phase_id) as phase,
(select label from vocabulary_recruitmentstatus where id = rc.recruitment_status_id) as
recruitment_status,
GROUP_CONCAT(vi.label)
FROM
repository_clinicaltrial rc
inner JOIN repository_clinicaltrial_i_code rcic ON rcic.clinicaltrial_id = rc.id JOIN
vocabulary_interventioncode vi ON vi.id = rcic.interventioncode_id
GROUP BY rc.id;
Using inner join instead join could be a solution?
Changing to JOINs vs continuous selects per every row will definitely improve. Also, since you are using MySQL, using the keyword "STRAIGHT_JOIN" tells MySQL to do the query in the order I provided. Since your "rc" table is the primary and all the others are lookups, this will make MySQL use it in that context rather than hoping some other lookup table be the basis of the rest of the joins.
SELECT STRAIGHT_JOIN
rc.trial_id,
rc.created,
rc.date_registration,
rc.agemin_value,
rc.agemin_unit,
rc.agemax_value,
rc.agemax_unit,
rc.exclusion_criteria,
rc.study_design,
rc.expanded_access_program,
rc.number_of_arms,
rc.enrollment_start_actual,
rc.target_sample_size,
ri.name primary_sponsor,
st.label study_type,
via.label intervention_assignment,
vsp.label study_purpose,
vsm.label study_mask,
vsa.label study_allocation,
vsph.label phase,
vrs.label recruitment_status,
GROUP_CONCAT(vi.label)
FROM
repository_clinicaltrial rc
JOIN repository_clinicaltrial_i_code rcic
ON rc.id = rcic.clinicaltrial_id
JOIN vocabulary_interventioncode vi
ON rcic.interventioncode_id = vi.id
JOIN repository_institution ri
on rc.primary_sponsor_id = ri.id
JOIN vocabulary_studytype st
on rc.study_type_id = st.id
JOIN vocabulary_interventionassigment via
on rc.intervention_assignment_id = via.id
JOIN vocabulary_studypurpose vsp
ON rc.purpose_id = vsp.id
JOIN vocabulary_studymasking vsm
ON rc.masking_id = vsm.id
JOIN vocabulary_studyallocation vsa
ON rc.allocation_id = vsa.id
JOIN vocabulary_studyphase vsph
ON rc.phase_id = vsph.id
JOIN vocabulary_recruitmentstatus vrs
ON rc.recruitment_status_id = vrs.id
GROUP BY
rc.id;
One final note. You are using a GROUP BY and applying to the GROUP_CONCAT() which is ok. However, proper group by says you need to group by all non-aggregate columns, which in this case is every other column in the list. You may know this, and the fact the lookups will be the same based on the "rc" associated columns, but its not good practice to do so.
Your joins and subqueries are probably not the problem. Assuming you have correct indexes on the tables, then these are fast. "Correct indexes" means that the id column is the primary key -- a very reasonable assumption.
My guess is that the GROUP BY is the performance issue. So, I would suggest structuring the query with no `GROUP BY:
select . . .
(select group_concat(vi.label)
from repository_clinicaltrial_i_code rcic
vocabulary_interventioncode vi
on vi.id = rcic.interventioncode_id
where rcic.clinicaltrial_id = rc.id
)
from repository_clinicaltrial rc ;
For this, you want indexes on:
repository_clinicaltrial_i_code(clinicaltrial_id, interventioncode_id)
vocabulary_interventioncode(id, label)
My MySQL query code likes as shown below, and there are about several thousands of records in the table, by now below SQL executes about 5 minutes and more. I am looking for ways to optimize it so that it takes less time to execute. Thank you!
SELECT `m`.`id`,
`m`.`id`,
`tr`.`name`,
`m`.`m_date`,
`t1`.`t_name` AS home,
`t2`.`t_name` AS away,
`m`.`score1`,
`m`.`score2`,
`cw1`.`tid` AS tid1,
`cw2`.`tid` AS tid2,
`o1`.`odds` AS odds1,
`o2`.`odds` AS odds2,
`m`.`m_time`
FROM `jos_bl_match` AS `m`
LEFT JOIN `jos_bl_matchday` AS `md` ON (`md`.`id` = `m`.`m_id`)
LEFT JOIN `jos_bl_seasons` AS `s` ON (`s`.`s_id` = `md`.`s_id`)
LEFT JOIN `jos_bl_tournament` AS `tr` ON (`tr`.`id` = `s`.`t_id`)
LEFT JOIN `jos_bl_teams` AS `t1` ON (`m`.`team1_id` = `t1`.`id`)
LEFT JOIN `jos_bl_teams` AS `t2` ON (`m`.`team2_id` = `t2`.`id`)
LEFT JOIN `jos_vuvuzelaodds_odds` AS `o1` ON (`o1`.`m_id` = `m`.`id`)
AND `o1`.`market_id` = 1
AND `o1`.`bookmaker_id` = 1
LEFT JOIN `jos_vuvuzelaodds_odds` AS `o2` ON (`o2`.`m_id` = `m`.`id`)
AND `o2`.`market_id` = 1
AND `o2`.`bookmaker_id` = 2
LEFT JOIN `jos_cwtags_tags` AS `cw1` ON (`cw1`.`item_id` = `o1`.`m_id`)
LEFT JOIN `jos_cwtags_tags` AS `cw2` ON (`cw2`.`item_id` = `o2`.`m_id`)
WHERE `m`.`published` = 1
AND `s`.`published` = '1'
AND `tr`.`published` = '1'
AND `s`.`s_id` = 869
AND `m`.`m_played` = '1'
AND `m`.`m_date` > 2013-01-01
AND `o1`.`odds` != ''
AND `o2`.`odds` != ''
AND `cw1`.`cat_id` = 19
AND `cw2`.`cat_id` = 21
ORDER BY `m`.`m_date`,
`md`.`id`,
`s`.`s_id`,
`tr`.`id` DESC LIMIT 0, 15
"Normalize, but don't over-normalize."
Some composite indexes you may be missing...
jos_bl_match: INDEX(m_played, published, m_date)
The columns need to be in that order. That will more quickly start the filtering.
The following should speed up their JOINs:
jos_vuvuzelaodds_odds: INDEX(market_id, bookmaker_id, m_id)
jos_cwtags_tags: INDEX(cat_id, item_id)
It seems like those last two indexes could (should) be the PRIMARY KEY. Are they?
Some (perhaps all) of the LEFT JOINs may as well be INNER JOINs; did you consider that?
Please provide EXPLAIN SELECT.
Without having access to the database it is a little hard to tell. This seems to be a lot of data to only pull 15 records. Are you sure you need to pull the data this way?
Probably the best route:
Optimize your database as below.
Make a flat database view of all the games that has the fields that you need. A static table will be much faster but you would need to set up updates with triggers which is beyond the scope of this answer but the process is similar
Write queries against the
view.
You are not selecting any fields from the seasons table in your select. I used the field from the jos_bl_matchday table.
This should get you started. You can also use conditionals in your select statements
(IF value = 1, table.field, null) as yadda
instead of joining one table over and over again but you would have to experiment.
CREATE VIEW allTheGames AS SELECT
`m`.`id` as id,
`md`.`s_id` as seasonId,
`tr`.`name` as name,
`m`.`m_date` as m_date,
`t1`.`t_name` AS home,
`t2`.`t_name` AS away,
`m`.`score1` as score1,
`m`.`score2` as score2,
`cw1`.`tid` AS tid1,
`cw2`.`tid` AS tid2,
`o1`.`odds` AS odds1,
`o2`.`odds` AS odds2,
`m`.`m_time` as m_time
FROM `jos_bl_match` AS `m`
LEFT JOIN `jos_bl_matchday` AS `md` ON (`md`.`id` = `m`.`m_id`)
LEFT JOIN `jos_bl_tournament` AS `tr` ON (`tr`.`id` = `s`.`t_id`)
LEFT JOIN `jos_bl_teams` AS `t1` ON (`m`.`team1_id` = `t1`.`id`)
LEFT JOIN `jos_bl_teams` AS `t2` ON (`m`.`team2_id` = `t2`.`id`)
LEFT JOIN `jos_vuvuzelaodds_odds` AS `o1` ON (`o1`.`m_id` = `m`.`id`) AND `o1`.`market_id` = 1 AND `o1`.`bookmaker_id` = 1
LEFT JOIN `jos_vuvuzelaodds_odds` AS `o2` ON (`o2`.`m_id` = `m`.`id`) AND `o2`.`market_id` = 1 AND `o2`.`bookmaker_id` = 2
LEFT JOIN `jos_cwtags_tags` AS `cw1` ON (`cw1`.`item_id` = `o1`.`m_id`)
LEFT JOIN `jos_cwtags_tags` AS `cw2` ON (`cw2`.`item_id` = `o2`.`m_id`)
WHERE `m`.`published` = 1 AND `s`.`published` = '1' AND `tr`.`published` = '1'
AND `m`.`m_played` = '1'
AND `o1`.`odds1` != '' AND `o2`.`odds2` != ''
Then query it with:
select * from allTheGames
WHERE season_id = 869 AND m_date > 2013-01-01 AND tid1 = 19 AND tid2 = 21
Steps to optimize:
Figure out exactly which data you want out of this query and why:
Is this a custom report? A web page? do you need to have all of this data at once or would it make more sense to have the user drill down?
How often is the query run? Once a minute? Once a day?
How many records are in each table? Your view should reflect this "game object"
Your database:
Run "explain" against this query http://dev.mysql.com/doc/refman/5.7/en/explain.html.
It will show all of the work the database is doing, the query execution plan, and how many records it is looking in to do it. This usually happens quickly: it does not actually execute the query.
See if you can put the database on SSD drives or even RAM
Your table structure:
Make sure that you have indexes on all of the fields that you are searching on. There are many ways to optimize this.
Use "explain" to be sure MySQL is able to use indexes.
If there are really only 2 markets in the jos_vuvuzelaodds_odds table consider making 2 fields.
Good luck!
So, this query is currently used in a webshop to retrieve technical data about articles.
It has served its purpose fine except the amount of products shown have increased lately resulting in unacceptable long loading times for some categories.
For one of the worst pages this (and some other queries) get requested about 80 times.
I only recently learned that MySQL does not optimize sub-queries that don't have a depending parameter to only run once.
So if someone could help me with one of the queries and explain how you can replace the in's and exists's to joins, i will probably be able to change the other ones myself.
select distinct criteria.cri_id, des_texts.tex_text, article_criteria.acr_value, article_criteria.acr_kv_des_id
from article_criteria, designations, des_texts, criteria, articles
where article_criteria.acr_cri_id = criteria.cri_id
and article_criteria.acr_art_id = articles.art_id
and articles.art_deliverystatus = 1
and criteria.cri_des_id = designations.des_id
and designations.des_lng_id = 9
and designations.des_tex_id = des_texts.tex_id
and criteria.cri_id = 328
and article_criteria.acr_art_id IN (Select distinct link_art.la_art_id
from link_art, link_la_typ
where link_art.la_id = link_la_typ.lat_la_id
and link_la_typ.lat_typ_id = 17484
and link_art.la_ga_id IN (Select distinct link_ga_str.lgs_ga_id
from link_ga_str, search_tree
where link_ga_str.lgs_str_id = search_tree.str_id
and search_tree.str_type = 1
and search_tree.str_id = 10132
and EXISTS (Select *
from link_la_typ
where link_la_typ.lat_typ_id = 17484
and link_ga_str.lgs_ga_id = link_la_typ.lat_ga_id)))
order by article_criteria.acr_value
I think this one is the main badguy with sub-sub-sub-queries
I just noticed i can remove the last exist and still get the same results but with no increase in speed, not part of the question though ;) i'll figure out myself whether i still need that part.
Any help or pointers are appreciated, if i left out some useful information tell me as well.
I think this is equivalent:
SELECT DISTINCT c.cri_id, dt.tex_text, ac.acr_value, ac.acr_kv_des_id
FROM article_criteria AS ac
JOIN criteria AS c ON ac.acr_cri_id = c.cri_id
JOIN articles AS a ON ac.acr_art_id = a.art_id
JOIN designations AS d ON c.cri_des_id = d.des_id
JOIN des_texts AS dt ON dt.tex_id = d.des_tex_id
JOIN (SELECT distinct la.la_art_id
FROM link_art AS la
JOIN link_la_typ AS llt ON la.la_id = llt.lat_la_id
JOIN (SELECT DISTINCT lgs.lgs_ga_id
FROM link_ga_str AS lgs
JOIN search_tree AS st ON lgs.lgs_str_id = st.str_id
JOIN link_la_typ AS llt ON lgs.lgs_ga_id = llt.lat_ga_id
WHERE st.str_type = 1
AND st.str_id = 10132
AND llt.lat_typ_id = 17484) AS lgs
ON la.la_ga_id = lgs.lgs_ga_id
WHERE llt.lat_typ_id = 17484) AS la
ON ac.acr_art_id = la.la_art_id
WHERE a.art_deliverystatus = 1
AND d.des_lng_id = 9
AND c.cri_id = 328
ORDER BY ac.acr_value
All the IN <subquery> clauses can be replaced with JOIN <subquery>, where you then JOIN on the column being tested equaling the column returned by the subquery. And the EXISTS test is converted to a join with the table, moving the comparison in the subquery's WHERE clause into the ON clause of the JOIN.
It's probably possible to flatten the whole thing, instead of joining with subqueries. But I suspect performance will be poor, because this won't reduce the temporary tables using DISTINCT. So you'll get combinatorial explosion in the resulting cross product, which will then have to be reduced at the end with the DISTINCT at the top.
I've converted all the implicit joins to ANSI JOIN clauses, to make the structure clearer, and added table aliases to make things more readable.
In general, you can convert a FROM tab1 WHERE ... val IN (SELECT blah) to a join like this.
FROM tab1
JOIN (
SELECT tab1_id
FROM tab2
JOIN tab3 ON whatever = whatever
WHERE whatever
) AS sub1 ON tab1.id = sub1.tab1_id
The JOIN (an inner join) will drop the rows that don't match the ON condition from your query.
If your tab1_id values can come up duplicate from your inner query, use SELECT DISTINCT. But don't use SELECT DISTINCT unless you need to; it is costly to evaluate.
select
b.entry_id,
b.assign_id,
a.profile_type,
a.profile_id,
a.profile_name,
a.profile_status,
b.entry_type,
b.assign_id,
c.chapter_name,
d.section_name,
h.group_name,
i.programme_name,
k.subjectprogramme_name,
j.masterprogramme_name,
l.developmentprogramme_name
from profile_master a
left join profile_assign b on (a.profile_id = b.profile_id)
left join chapter_master c
on (b.entry_id = c.chapter_id and b.entry_type='chapter')
left join section_master d
on (b.entry_id = d.section_id and b.entry_type='section')
left join group_master h
on (b.entry_id = h.group_id and b.entry_type='Group'
and h.year_id='".$this->year."')
left join programme_master i
on (b.entry_id = i.programme_id and b.entry_type='Programme'
and i.year_id='".$this->year."')
left join subjectprogramme_master k
on (b.entry_id = k.subjectprogramme_id and b.entry_type='subjectProgramme'
and k.year_id='".$this->year."')
left join masterprogramme_master j
on (b.entry_id = j.masterprogramme_id and b.entry_type='masterProgramme'
and j.year_id='".$this->year."')
left join developmentprogramme_master l
on (b.entry_id = l.developmentprogramme_id
and b.entry_type='developmentProgramme')
1) Get rid of where coditions from left join. Use WHERE clause for filtering
2) I guess UNION or 7 queries (by each entity separetely) will be much better in your case
This is a hard question to answer without having direct access to the database, so I'll try a general answer!
Use "explain" on this query to see if MySQL suggests some indexes. No doubt it'll suggest a few, because you're accessing a few columns several times, and oftentimes indexes will improve even the slowest OUTER JOIN
You're using lots of checks against $this->year, so that would suggest some composite indexes where e.g. the programme_id and the year_id are both in the same index
Of course, there are solutions that might depend on how you're using the output, e.g.:
If this query is run frequently enough to be a problem for users waiting for it, but infrequently enough for latency not to be an issue (e.g. it's ok to run it based on last night's data), you could run it overnight and cache the results.
You really only do a join when a condition is passed, I suggest doing subselects like so:
SELECT
b.entry_id,
b.assign_id,
a.profile_type,
a.profile_id,
a.profile_name,
a.profile_status,
b.entry_type,
b.assign_id,
CASE b.entry_type
WHEN 'chapter' THEN SELECT(c.chapter_name FROM c WHERE b.entry_id = c.chapter_id)
WHEN 'section' THEN SELECT(d.section_name FROM d WHERE b.entry_id = d.section_id)
WHEN ....
END as name
from profile_master a
left join profile_assign b on (a.profile_id = b.profile_id)
If you insist on having the output be the same, then you need to wrap this select in a outer select like so:
SELECT
entry_id, assign_id, ......
, CASE entry_type WHEN 'chapter' THEN name ELSE null END as chapter_name
, CASE entry_type WHEN 'section' THEN name ELSE null END as section_name
FROM
(select statement like above) sub