I'm having a hard time wrapping my head around how the column product_count works. It seems to be somehow referencing itself with aliases see and e, which are both pointing to catalog_category_entity. Specifically,
WHERE (see.entity_id = e.entity_id) OR (see.path LIKE CONCAT(e.path, '/%'))
Both see and e are aliases for table catalog_category_entity. What is this doing?
Here's the entire query:
SELECT `e`.*, `d_name`.`value` AS `name`, IF(s_name.value_id > 0, s_name.value, d_name.value) AS `name`, `d_is_active`.`value` AS `is_active`, IF(s_is_active.value_id > 0, s_is_active.value, d_is_active.value) AS `is_active`, `d_is_anchor`.`value` AS `is_anchor`, IF(s_is_anchor.value_id > 0, s_is_anchor.value, d_is_anchor.value) AS `is_anchor`,
(
SELECT COUNT(DISTINCT scp.product_id)
FROM `catalog_category_entity` AS `see`
LEFT JOIN `catalog_category_product` AS `scp`
ON see.entity_id=scp.category_id
WHERE (see.entity_id = e.entity_id) OR (see.path LIKE CONCAT(e.path, '/%'))
) AS `product_count`,
(
SELECT COUNT(cp.product_id)
FROM `catalog_category_product` AS `cp`
WHERE (cp.category_id = e.entity_id)
) AS `self_product_count`
FROM `catalog_category_entity` AS `e`
LEFT JOIN `catalog_category_entity_varchar` AS `d_name` ON d_name.entity_id=e.entity_id AND d_name.attribute_id=41 AND d_name.entity_type_id=e.entity_type_id AND d_name.store_id=0
LEFT JOIN `catalog_category_entity_varchar` AS `s_name` ON s_name.entity_id=e.entity_id AND s_name.attribute_id=41 AND s_name.entity_type_id=e.entity_type_id AND s_name.store_id=0
LEFT JOIN `catalog_category_entity_int` AS `d_is_active` ON d_is_active.entity_id=e.entity_id AND d_is_active.attribute_id=42 AND d_is_active.entity_type_id=e.entity_type_id AND d_is_active.store_id=0
LEFT JOIN `catalog_category_entity_int` AS `s_is_active` ON s_is_active.entity_id=e.entity_id AND s_is_active.attribute_id=42 AND s_is_active.entity_type_id=e.entity_type_id AND s_is_active.store_id=0
LEFT JOIN `catalog_category_entity_int` AS `d_is_anchor` ON d_is_anchor.entity_id=e.entity_id AND d_is_anchor.attribute_id=51 AND d_is_anchor.entity_type_id=e.entity_type_id AND d_is_anchor.store_id=0
LEFT JOIN `catalog_category_entity_int` AS `s_is_anchor` ON s_is_anchor.entity_id=e.entity_id AND s_is_anchor.attribute_id=51 AND s_is_anchor.entity_type_id=e.entity_type_id AND s_is_anchor.store_id=0
WHERE (`e`.`entity_type_id` = '3') AND (e.entity_id IN('24', '533')) ORDER BY LENGTH(e.path) ASC
This is an example of a correlated query, here the query owner is checking a condition from outside of the sub-query with an OR clause.
In the below sub-query there is a distinct count of production_id which should exist in both tables: catalog_category_entity and catalog_category_product (even here there is no requirement of left join and an inner join may work better as you get count from the right side table) with condition that either entitiy_id should exist in catalog_category_entity as main table OR sub-query path field should match with the main table left part of path field means the main table may contain an extra string in right side but the left part should be same.
SELECT COUNT(DISTINCT scp.product_id)
FROM `catalog_category_entity` AS `see`
LEFT JOIN `catalog_category_product` AS `scp`
ON see.entity_id=scp.category_id
WHERE (see.entity_id = e.entity_id)
OR (see.path LIKE CONCAT(e.path, '/%'))
You can simplify your query if the requirement is clear as you are joining table catalog_category_entity_int 4 times with left join, while you can use as below only a single time:
LEFT JOIN catalog_category_entity_int` AS `d_is_anchor`
ON d_is_anchor.entity_id=e.entity_id
AND d_is_anchor.attribute_id IN (42,51)
AND d_is_anchor.entity_type_id=e.entity_type_id
AND d_is_anchor.store_id=0
Related
My Sql query takes more time to execute from mysql database server . There are number of tables are joined with sb_tblproperty table. sb_tblproperty is main table that contain more than 1,00,000 rows . most of table contain 50,000 rows.
How to optimize my sql query to fast execution. I have also used indexing.
indexing Explain - query - structure
SELECT `t1`.`propertyId`, `t1`.`projectId`,
`t1`.`furnised`, `t1`.`ownerID`, `t1`.`subType`,
`t1`.`fors`, `t1`.`size`, `t1`.`unit`,
`t1`.`bedrooms`, `t1`.`address`, `t1`.`dateConfirm`,
`t1`.`dateAdded`, `t1`.`floor`, `t1`.`priceAmount`,
`t1`.`priceRate`, `t1`.`allInclusive`, `t1`.`booking`,
`t1`.`bookingRate`, `t1`.`paidPercetage`,
`t1`.`paidAmount`, `t1`.`is_sold`, `t1`.`remarks`,
`t1`.`status`, `t1`.`confirmedStatus`, `t1`.`source`,
`t1`.`companyName` as company, `t1`.`monthly_rent`,
`t1`.`per_sqft`, `t1`.`lease_duration`,
`t1`.`lease_commencement`, `t1`.`lock_in_period`,
`t1`.`security_deposit`, `t1`.`security_amount`,
`t1`.`total_area_leased`, `t1`.`lease_escalation_amount`,
`t1`.`lease_escalation_years`, `t2`.`propertyTypeName` as
propertyTypeName, `t3`.`propertySubTypeName` subType,
`t3`.`propertySubTypeId` subTypeId, `Owner`.`ContactName`
ownerName, `Owner`.`companyName`, `Owner`.`mobile1`,
`Owner`.`otherPhoneNo`, `Owner`.`mobile2`,
`Owner`.`email`, `Owner`.`address` as caddress,
`Owner`.`contactType`, `P`.`projectName` as project,
`P`.`developerName` as developer, `c`.`name` as city,
if(t1.projectId="", group_concat( distinct( L.locality)),
group_concat( distinct(L2.locality))) as locality, `U`.`firstname`
addedBy, `U1`.`firstname` confirmedBy
FROM `sb_tblproperty` as t1
JOIN `sb_contact` Owner ON `Owner`.`id` = `t1`.`ownerID`
JOIN `tbl_city` C ON `c`.`id` = `t1`.`city`
JOIN `sb_propertytype` t2 ON `t1`.`propertyType`= `t2`.`propertyTypeId`
JOIN `sb_propertysubtype` t3 ON `t1`.`subType` =`t3`.`propertySubTypeId`
LEFT JOIN `sb_tbluser` U ON `t1`.`addedBy` = `U`.`userId`
LEFT JOIN`sb_tbluser` U1 ON `t1`.`confirmedBy` = `U1`.`userId`
LEFT JOIN `sb_tblproject` P ON `P`.`id` = `t1`.`projectId` LEFT
JOIN `sb_tblpropertylocality` PL ON `t1`.`propertyId` = `PL`.`propertyId`
LEFT JOIN `sa_localitiez` L ON `L`.`id` = `PL`.`localityId`
LEFT JOIN `sb_tblprojectlocality` PROL ON `PROL`.`projectId` = `P`.`id`
LEFT JOIN `sa_localitiez` L2 ON `L2`.`id` = `PROL`.`localityId`
LEFT JOIN `sb_tblfloor` F
ON `F`.`floorName` =`t1`.`floor`
WHERE `t1`.`is_sold` != '1' GROUP BY `t1`.`propertyId`
ORDER BY `t1`.`dateConfirm`
DESC LIMIT 1000
Please provide the EXPLAIN.
Meanwhile, try this:
SELECT ...
FROM (
SELECT propertyId
FROM sb_tblproperty
WHERE `is_sold` = 0
ORDER BY `dateConfirm` DESC
LIMIT 1000
) AS x
JOIN `sb_tblproperty` as t1 ON t1.propertyId = x.propertyId
JOIN `sb_contact` Owner ON `Owner`.`id` = `t1`.`ownerID`
JOIN `tbl_city` C ON `c`.`id` = `t1`.`city`
...
LEFT JOIN `sb_tblfloor` F ON `F`.`floorName` =`t1`.`floor`
ORDER BY `t1`.`dateConfirm` DESC -- yes, again
Together with
INDEX(is_sold, dateConfirm)
How can t1.projectId="" ? Isn't projectId the PRIMARY KEY? (This is one of many reasons for needing the SHOW CREATE TABLE.)
If my suggestion leads to "duplicate" rows (that is, multiple rows with the same propertyId), don't simply add back the GROUP BY propertyId. Instead figure out why, and avoid the need for the GROUP BY. (That is probably the performance issue.)
A likely case is the GROUP_CONCAT. A common workaround is to change from
GROUP_CONCAT( distinct( L.locality)) AS Localities,
...
LEFT JOIN `sa_localitiez` L ON `L`.`id` = `PL`.`localityId`
to
( SELECT GROUP_CONCAT(distinct locality)
FROM sa_localitiez
WHERE id = PL.localityId ) AS Localities
...
# and remove the JOIN
I have a query
SELECT DISTINCT c.camp_id AS camp_id,
c.camp_key AS camp_key,
c.camp_active AS camp_active,
c.camp_deleted AS camp_deleted,
c.camp_name AS camp_name,
c.camp_cpc AS camp_cpc,
c.camp_destination AS camp_destination,
camp_token1,
camp_token2,
camp_token3,
camp_token4,
camp_token5,
camp_token6,
camp_token7,
camp_token8,
camp_token9,
camp_token10,
token1_field,
token2_field,
token3_field,
token4_field,
token5_field,
token6_field,
token7_field,
token8_field,
token9_field,
token10_field,
group_name,
group_id,
source_id,
source_name,
user_name
FROM mt_campaigns c
LEFT JOIN mt_offers USING (camp_id)
LEFT JOIN mt_groups USING (group_id)
LEFT JOIN mt_traffic_sources USING (source_id)
LEFT JOIN mt_account WHERE c.owner_id = mt_account.user_id
WHERE camp_deleted=0
Now I want to join another table(mt_account) which has a column called user_id and it matches with the the owner_id column of the mt_canpaigns.
How can i edit the join query?
replace
LEFT JOIN mt_account WHERE c.owner_id=mt_account.user_id
for
LEFT JOIN mt_account ON c.owner_id=mt_account.user_id
You need to use ON to define the fields you want to join on instead of WHERE
Is there a way that I can combine these two queries:
FIRST QUERY
select top 100
WORK.pzInsKey,
WORK.pyID,
PARTY.MacID,
PARTY.OtherPartyID,
PARTY.CustomerEmail,
ACCOUNT.AccountNumber,
ACCOUNT.AccountName,
ACCOUNT.AdviserCode,
ACCOUNT.AdviserName,
ACCOUNT.DealerCode,
ACCOUNT.DealerName,
ACCOUNT.PrimaryAccount,
ACCOUNT.ProductCategory,
ACCOUNT.ProductCode,
ACCOUNT.ProductDescription,
ACCOUNT.RegisteredState,
DOCUMENT.UDOCID
from
workTable WORK,
partyTable PARTY,
accountTable ACCOUNT,
documentTable DOCUMENT,
notesTable NOTES
where WORK.pzInsKey = PARTY.pxInsIndexedKey
and WORK.pzInsKey = ACCOUNT.pxInsIndexedKey
and WORK.pyID = DOCUMENT.CaseID
and SECOND QUERY
SELECT top 100
BusinessAreaTbl.businessarea,
ProcessTbl.process,
SubProcessTbl.subprocess
FROM workTable WORK
LEFT OUTER JOIN (SELECT DISTINCT Product_ID businessarea_id, Product businessarea from CaseTypesTable) BusinessAreaTbl
ON WORK.RequestBusinessArea#1 = BusinessAreaTbl.businessarea_id
LEFT OUTER JOIN (SELECT DISTINCT Process_ID, Process, Product_ID businessarea_id from CaseTypesTable) ProcessTbl
ON WORK.RequestProcess#1 = ProcessTbl.process_id
AND ProcessTbl.businessarea_id = WORK.RequestBusinessArea#1
LEFT OUTER JOIN (SELECT DISTINCT SubProcess_ID, SubProcess, Product_ID businessarea_id, Process_ID from CaseTypesTable) SubProcessTbl
ON WORK.RequestSubProcess#1 = SubProcessTbl.subprocess_id
AND SubProcessTbl.businessarea_id = WORK.RequestBusinessArea#1
AND SubProcessTbl.process_id = WORK.RequestProcess#1
It's basically two queries which produce separate results, but each query includes data from the workTable. In the 2nd query, the workTable data is derived from the CaseTypesTable.
I essentially just want the businessarea, process, and subprocess fields to be included with the results of the first query.
Thanks in advance for any help.
This should work:
(SELECT top 100
w.pzInsKey,
w.pyID,
p.MacID,
p.OtherPartyID,
p.CustomerEmail,
a.AccountNumber,
a.AccountName,
a.AdviserCode,
a.AdviserName,
a.DealerCode,
a.DealerName,
a.PrimaryAccount,
a.ProductCategory,
a.ProductCode,
a.ProductDescription,
a.RegisteredState,
d.UDOCID
FROM workTable w
LEFT JOIN partyTable p
ON w.pzInsKey = p.pxInsIndexedKey
LEFT JOIN accountTable a
ON w.pzInsKey = a.pxInsIndexedKey
LEFT JOIN documentTable d
ON w.pyID = d.CaseID)
UNION
(SELECT top 100
ba.businessarea,
pr.process,
spr.subprocess
FROM workTable w
LEFT OUTER JOIN (SELECT DISTINCT Product_ID businessarea_id, Product businessarea from CaseTypesTable) BusinessAreaTbl ba
ON w.RequestBusinessArea#1 = ba.businessarea_id
LEFT OUTER JOIN (SELECT DISTINCT Process_ID, Process, Product_ID businessarea_id from CaseTypesTable) ProcessTbl pr
ON w.RequestProcess#1 = pr.process_id
AND pr.businessarea_id = w.RequestBusinessArea#1
LEFT OUTER JOIN (SELECT DISTINCT SubProcess_ID, SubProcess, Product_ID businessarea_id, Process_ID from CaseTypesTable) SubProcessTbl spr
ON w.RequestSubProcess#1 = spr.subprocess_id
AND spr.businessarea_id = w.RequestBusinessArea#1
AND spr.process_id = w.RequestProcess#1))
Use the keyword UNION to combine two or more seperate SELECT statements.
I have a query like this:
SELECT DISTINCT(obt.oid) AS oid, o.borrower_email
FROM `order_borrower_tracker` obt
LEFT JOIN `orders` o ON obt.oid=o.oid
WHERE obt.date_acknowledged_edelivery = 0
AND 18 NOT IN
(SELECT DISTINCT(new_status) AS new_status
FROM `order_status_history`
WHERE oid=obt.oid)
Which works, but now I need to update this query so that not only "18" is not in the subselect, but also several other numbers.... something like
SELECT DISTINCT(obt.oid) AS oid, o.borrower_email
FROM `order_borrower_tracker` obt
LEFT JOIN `orders` o ON obt.oid=o.oid
WHERE obt.date_acknowledged_edelivery = 0
AND (18,27,29,41,53) NOT IN
(SELECT DISTINCT(new_status) AS new_status
FROM `order_status_history`
WHERE oid=obt.oid)
but obviously "(18,27,29,41,53) NOT IN" doesn't work.
What is a good alternative to achieve this? Without typing ANDs for each number
Use a trick with LEFT JOIN and IS NULL to find orders that don't have any records with listed statuses:
SELECT DISTINCT(obt.oid) AS oid, o.borrower_email
FROM `order_borrower_tracker` obt
LEFT JOIN `orders` o
ON obt.oid=o.oid
LEFT JOIN `order_status_history` h
ON h.oid=obt.oid AND h.new_status IN (18,27,29,41,53)
WHERE obt.date_acknowledged_edelivery = 0
AND h.oid IS NULL
I have a situation where a property table holds an address id (from the g_addresses table) and an applicant table also holds an address id from the g_addresses.
I'd like to left join these together but select all the fields in the table.
I know of using 'as' to make an alias for fields, but is there any way to produce an alias for a whole table?
SELECT *
FROM (`reference`)
LEFT JOIN `applicants` ON `applicants`.`id` = `reference`.`applicant_id`
LEFT JOIN `g_people` applicant_person ON `applicant_person`.`id` = `applicants`.`person_id`
LEFT JOIN `g_addresses` applicant_address ON `applicant_address`.`id` = `applicants`.`address_id`
LEFT JOIN `properties` ON `properties`.`id` = `reference`.`property_id`
LEFT JOIN `g_addresses` property_address ON `property_address`.`id` = `properties`.`address_id`
WHERE `reference`.`id` = 4
This produces a result containing only one address row and not both,
The row that is returned is the row from the final join and not the one previously, indicating it is overwriting when it is returned.
I don't think you should use masked references, like * or `reference`.*, in your case, because you may end up with a row set containing identical column names (id, address_id).
If you want to pull all the columns from the joined tables, you should probably specify them individually in the SELECT clause and assign a unique alias to every one of them:
SELECT
ref.`id` AS ref_id,
ref.`…` AS …,
…
app.`id` AS app_id,
…
FROM `reference` AS ref
LEFT JOIN `applicants` AS app ON app.`id` = ref.`applicant_id`
LEFT JOIN `g_people` AS ape ON ape.`id` = app.`person_id`
LEFT JOIN `g_addresses` AS apa ON apa.`id` = app.`address_id`
LEFT JOIN `properties` AS pro ON pro.`id` = ref.`property_id`
LEFT JOIN `g_addresses` AS pra ON pra.`id` = pro.`address_id`
WHERE ref.`id` = 4
Be more specific about columns you select
SELECT
applicant_address.*,
property_address.*,
applicants.*,
applicant_person.*,
properties.*
FROM (`reference`)
LEFT JOIN `applicants` ON `applicants`.`id` = `reference`.`applicant_id`
LEFT JOIN `g_people` applicant_person ON `applicant_person`.`id` = `applicants`.`person_id`
LEFT JOIN `g_addresses` applicant_address ON `applicant_address`.`id` = `applicants`.`address_id`
LEFT JOIN `properties` ON `properties`.`id` = `reference`.`property_id`
LEFT JOIN `g_addresses` property_address ON `property_address`.`id` = `properties`.`address_id`
WHERE `reference`.`id` = 4