I want to do this:
Desired Output
but I actually have this:
Current Output
this is my sql code:
enter code here
SELECT `a`.`itemId` AS itemId, `a`.`donationId` AS `donationId`,
`a`.`typeId` AS `typeId`, `a`.`currencyId` AS `currencyId`,
`a`.memberId AS memberId, `a`.amount_total AS amount_total, a.ref AS
ref, a.ref_bank AS ref_bank, `a`.`hidden` AS `hidden`, a.code AS code,
concat( `b`.`first_name`, ' ', `b`.`last_name` ) AS member_name,
`c`.currencyCode AS currencyCode, `f`.`name` AS `payment_name`,
e.itemEnvelopId, e.itemId AS itemIdP, e.accountId, e.amount,
e.hidden as envelopHidden, g.NAME, g.new_number
FROM
ai_donation_items `a` LEFT JOIN ai_church_members `b` ON a.memberId = b.memberId
LEFT JOIN ai_currency `c` ON a.currencyId = c.currencyId
LEFT JOIN ai_payment_types `f` ON a.typeId = f.typeId
LEFT JOIN ai_donation_envelops_item as e on a.itemId = e.itemId
LEFT JOIN ai_accounts AS g ON e.accountId = g.accountId
WHERE `a`.`hidden` = 0 AND e.hidden = 0 and a.donationId = 1
Related
We have a view table the query for the view is pasted below. The problem is that whenever we try to query items view our database start making sorting index which make the over all time of our response very slow.
CREATE VIEW items_view AS
SELECT item_detail.*, item.name, item.description, item.thumbnail_url, item.large_image_url, item.ios_url, item.android_url, item.vr_url, item.vr_updated_url, item.webgl_url, item.video_url, item.quest_url,
item.is_transferable, item.ip_id, item.brand_id, item.edition_id, item.currency_id, item.category_id, item.rarity_id, item.type_id, item.asset_id, item.artist_id, item.art_collection_id,
IFNULL(item.variation_id, 0) AS variation_id,
item.series_id, item.set_id, item.is_tradable, item.number_minted, ip.name AS ip_name, brand.name As brand_name, brand.value AS brand_image,
edition.name AS edition_name, type.name As type_name, artist.name AS artist_name, art_collection.name AS art_collection_name,
IFNULL(variation.name, '') As variation_name, variation.value AS variation_value, category.name As category_name, asset.name AS asset_name, asset.value AS asset_image,
rarity.name As rarity_name, currency.symbol, currency.code AS currency_code, currency.name AS currency_name, series.name AS series_name, sets.name AS set_name,
CONCAT(users.first_name, ' ' ,users.last_name) as owner_name, users.username AS owner_username, users.is_public_inventory, users.role, users.pub_key,
auctions.id as auction_id, auctions.expire_at as auction_expire_at, max(ab.bid_amount) AS highest_bid_amount, IF(COUNT(auctions.id) > 0 AND !auctions.is_completed AND !auctions.is_deleted
, true, false) AS is_auction, auctions.start_amount AS auction_start_amount, auctions.reserved_amount AS auction_reserved_amount, auctions.buy_now_amount AS auction_buy_now_amount,
auctions.created_at as auction_created_at, auctions.status AS auction_status, auctions.is_extended AS auction_extended, TIMESTAMPDIFF(SECOND, now(), auctions.expire_at) AS auction_expire_seconds FROM item
LEFT JOIN base_lookup AS ip ON item.ip_id = ip.id
LEFT JOIN base_lookup AS brand ON item.brand_id = brand.id
LEFT JOIN base_lookup AS edition ON item.edition_id = edition.id
LEFT JOIN base_lookup AS category ON item.category_id = category.id
LEFT JOIN base_lookup AS type ON item.type_id = type.id
LEFT JOIN base_lookup AS variation ON item.variation_id = variation.id
LEFT JOIN base_lookup AS rarity ON item.rarity_id = rarity.id
LEFT JOIN base_lookup AS series ON item.series_id = series.id
LEFT JOIN base_lookup AS sets ON item.set_id = sets.id
LEFT JOIN base_lookup AS asset ON item.asset_id = asset.id
LEFT JOIN base_lookup AS artist ON item.artist_id = artist.id
LEFT JOIN base_lookup AS art_collection ON item.art_collection_id = art_collection.id
INNER JOIN item_detail ON item.id = item_detail.parent_id
INNER JOIN users ON users.id = item_detail.owner_id
LEFT JOIN currency ON currency.id = item.currency_id
LEFT JOIN auctions on (item_detail.id = auctions.item_detail_id AND auctions.is_deleted = 0 AND auctions.is_completed = 0)
LEFT JOIN auction_bidding ab on auctions.id = ab.auction_id
WHERE item_detail.is_active = 1
group by item_detail.id
order by item_detail.id;
One of the query we are doing on this items_view that is stuck in making sorting index
SELECT
`id`, `code`, `name`, `large_image_url`,
`thumbnail_url`, `medium_thumbnail_url`, `symbol`, `ip_name`, `owner_id`,
`auction_id`, `is_auction`, `highest_bid_amount`, `auction_expire_at`,
`auction_start_amount`, `enable_sale`, `owner_name`, `role`, `amount`,
`auction_expire_seconds`, `rarity_name`, `ip_content`, `asset_content`
FROM `items_view` AS `items_view`
WHERE `items_view`.`transaction_hash` IS NOT NULL AND
`items_view`.`lobby_name` = 'live' AND
`items_view`.`is_tradable` = 1 AND
`items_view`.`is_transferring` = 0 AND
`items_view`.`is_locked` = 0 AND
`items_view`.`enable_sale` = true AND
`items_view`.`is_auction` = 0
ORDER BY `items_view`.`item_order` ASC LIMIT 24, 24;
can any give any suggest what are we doing wrong here!
Edited:
link to explain run against the above query
link to csv
I have this query and it take 117 seconds to get 100000 rows can me get all this rows on 5 seconds or 10 seconds?
SELECT
`nas`.`nasname`,
`nas`.`api_username`,
`nas`.`api_password`,
`nas`.`api_port`,
`nas`.`secret`,
`nas`.`up_by`,
COALESCE(`nas`.`api_is_enabled`,'0') as `api_is_en`,
`radacct`.`nasipaddress`,
`radcheck`.`address_list_name`,
`radcheck`.`address_val`,
`radacct`.`framedipaddress`,
`radacct`.`callingstationid`,
`radacct`.`radacctid` as `id_session`,
`radacct`.`framedprotocol`,
`radacct`.`username`,
`radacct`.`last_speed` ,
`radacct`.`acctsessionid` as `acctsessionid`,
`radip`.`value` as `ip_address`,
`radmac`.`value` as `mac_address`,
`radcount`.`value` as `simul_sess`,
COUNT(`radacct`.`radacctid`) as count_login ,
COALESCE(`card_users`.`id`,0) as `id_card`,
COALESCE(`card_users`.`download_qouta`,`userinfo`.`in_down`) *1024*1024 as `down_qouta`,
COALESCE(`card_users`.`upload_qouta`,`userinfo`.`in_up`) *1024*1024 as `up_qouta`,
COALESCE(`card_users`.`all_quota`,`userinfo`.`av_qouta`) *1024*1024 as `av_qouta`,
`card_users`.`date_end_card` as `date_end_card`,
`card_users`.`val_date` as `val_date`,
`card_users`.`per_second` as `per_second`,
`card_users`.`at_the_first_login` as `at_the_first_login`,
`card_users`.`exp_first_login` as `exp_first_login`,
`card_users`.`val_time_exp` as `val_time_exp`,
`card_users`.`time_cards_exp` as `time_cards_exp`,
`card_users`.`exp_quota` as `exp_quota`,
`card_users`.`exp_date` as `exp_date`,
`userinfo`.`updatedate` as `updatedate`,
`userinfo`.`divi_down_speed_slm` as `divi_down_speed_slm`,
`userinfo`.`divi_up_speed_slm` as `divi_up_speed_slm`,
`userinfo`.`arr_days` as `u_arr_days`,
`userinfo`.`value_choice` as `u_value_choice`,
`userinfo`.`last_end_day` as `last_end_day`,
`userinfo`.`macs` as `macs`,
`p`.`profile_name` as `profile_name`,
`p`.`daily_down_qouta`*1024*1024 as `down_daily_qouta`,
`p`.`daily_up_qouta`*1024*1024 as `up_daily_qouta`,
`p`.`daily_profile_qouta`*1024*1024 as `daily_profile_qouta`,
`p`.`online_time` as `online_time`,
`p`.`hours_min` as `hours_min`,
`p`.`daily_online_time` as `daily_online_time`,
`p`.`daily_hours_min` as `daily_hours_min`,
`p`.`bandwidth_time` as `bandwidth_time`,
`p`.`daily_expire_service` as `daily_expire_service`,
`p`.`qouta_expire_service` as `qouta_expire_service`,
`p`.`profile_expire_service` as `profile_expire_service`,
`p`.`sp_up` as `sp_up`,
`p`.`sp_down` as `sp_down`,
`p`.`ch_day_end` as `ch_day_end`,
`p`.`set_day_end` as `set_day_end`,
`p`.`percent` as `percent`,
`p`.`arr_days` as `p_arr_days`,
`p`.`value_choice` as `p_value_choice`,
`r1`.`value` as `value_exp`,
`p1`.`bandwidth_time` as `band_exp`,
`p1`.`percent` as `percent_exp`,
`r2`.`value` as `val_address_exp_list`,
`r3`.`value` as `value_exp_daily`,
`p3`.`bandwidth_time` as `band_daily_exp`,
`p3`.`percent` as `percent_daily_exp`,
`r4`.`value` as `val_address_exp_daily_list`,
`r5`.`value` as `value_exp_serv`,
`p3`.`bandwidth_time` as `band_serv_exp`,
`p3`.`percent` as `percent_serv_exp`,
`r6`.`value` as `val_address_exp_serv_list`,
`r7`.`value` as `value_now`,
`r8`.`value` as `val_address_list`,
COALESCE(ROUND(time_to_sec(`userinfo`.`online_time`)),0) as `t_online_time` ,
COALESCE(ROUND(time_to_sec(`userinfo`.`daily_online_time`)),0) as `d_online_time`,
UNIX_TIMESTAMP(STR_TO_DATE(`radexp`.`value`, '%d %b %Y %H:%i')) as `exp_user`,
`radacct`.`callingstationid` as `callingstationid`,
UNIX_TIMESTAMP(STR_TO_DATE(`radacct`.`acctstarttime`, '%Y-%m-%d %H:%i:%s')) as `session_st_date`
FROM `radacct`
INNER JOIN `radcheck`
ON `radacct`.`username` = `radcheck`.`username`
AND `radcheck`.`attribute` = 'Cleartext-Password'
INNER JOIN `radusergroup` `r9`
ON `r9`.`username` = `radcheck`.`username`
LEFT JOIN `userinfo`
ON `userinfo`.`username` = `r9`.`username`
LEFT JOIN (
SELECT SUM(`radacct`.`acctinputoctets`) as `up_today`
, SUM(`radacct`.`acctoutputoctets`) as `down_today`
, SUM(`radacct`.`acctsessiontime`) as `daily_time`
, `radacct`.`username`
FROM `radacct`
WHERE DATE_FORMAT(STR_TO_DATE(`acctstarttime`,'%Y-%m-%d %H:%i:%s'),'%Y-%m-%d') = DATE_FORMAT(NOW(),'%Y-%m-%d')
GROUP BY `username`
) as `rad2`
ON `rad2`.`username` = `r9`.`username`
INNER JOIN `nas`
ON `nas`.`nasname`=`radacct`.`nasipaddress`
LEFT JOIN `profiles` `p`
ON `p`.`profile_name` = `r9`.`groupname`
LEFT JOIN `profiles` `p1`
ON `p1`.`id` = `p`.`qouta_expire_service`
LEFT JOIN `profiles` `p2`
ON `p2`.`id` = `p`.`daily_expire_service`
LEFT JOIN `profiles` `p3`
ON `p3`.`id` = `p`.`profile_expire_service`
LEFT JOIN `radgroupreply` `r1`
ON `r1`.`groupname` = `p1`.`profile_name`
AND `r1`.`attribute` = 'Mikrotik-Rate-Limit'
LEFT JOIN `radgroupreply` `r2`
ON `r2`.`groupname` = `p1`.`profile_name`
AND `r2`.`attribute` = 'Mikrotik-Address-List'
LEFT JOIN `radgroupreply` `r3`
ON `r3`.`groupname` = `p2`.`profile_name`
AND `r3`.`attribute` = 'Mikrotik-Rate-Limit'
LEFT JOIN `radgroupreply` `r4`
ON `r4`.`groupname` = `p2`.`profile_name`
AND `r4`.`attribute` = 'Mikrotik-Address-List'
LEFT JOIN `radgroupreply` `r5`
ON `r5`.`groupname` = `p3`.`profile_name`
AND `r5`.`attribute` = 'Mikrotik-Rate-Limit'
LEFT JOIN `radgroupreply` `r6`
ON `r6`.`groupname` = `p3`.`profile_name`
AND `r6`.`attribute` = 'Mikrotik-Address-List'
LEFT JOIN `radgroupreply` `r7`
ON `r7`.`groupname` = `p`.`profile_name`
AND `r7`.`attribute` = 'Mikrotik-Rate-Limit'
LEFT JOIN `radgroupreply` `r8`
ON `r8`.`groupname` = `p`.`profile_name`
AND `r8`.`attribute` = 'Mikrotik-Address-List'
LEFT JOIN `card_users`
ON `card_users`.`id` = `radcheck`.`id_card`
LEFT JOIN `radreply` as `radip`
ON `radip`.`username` = `r9`.`username`
AND `radip`.`attribute`='Framed-IP-Address'
LEFT JOIN `radcheck` as `radmac`
ON `radmac`.`username` = `r9`.`username`
AND `radmac`.`attribute`='Calling-Station-Id'
LEFT JOIN `radcheck` as `radcount`
ON `radcount`.`username` = `r9`.`username`
AND `radcount`.`attribute`='Simultaneous-Use'
LEFT JOIN `radcheck` as `radexp`
ON `radexp`.`username` = `r9`.`username`
AND `radexp`.`attribute`='Expiration'
WHERE ( radacct .AcctStopTime IS NULL
OR radacct.AcctStopTime = '0000-00-00 00:00:00')
GROUP BY `radacct`.`username`
When remove this from query it speed up 60%
LEFT JOIN (SELECT SUM(`radacct`.`acctinputoctets`) as `up_today`,
SUM(`radacct`.`acctoutputoctets`) as `down_today`,
SUM(`radacct`.`acctsessiontime`) as `daily_time`,
`radacct`.`username` FROM `radacct`
WHERE DATE_FORMAT(STR_TO_DATE(`acctstarttime`,'%Y-%m-%d %H:%i:%s'),'%Y-%m-%d') = DATE_FORMAT(NOW(),'%Y-%m-%d')
GROUP BY `username`) as `rad2` ON (`rad2`.`username` = `r9`.`username`)
I have index for all this tables so what is my problem ?
Note : I have pc have
cpu core i 5
ram 4 giga
this image for explain my table
in the below code there are multiple entries in 'leads' table with the same 'account_id'. I want it to return a single row - the one with the minimal value of another field 'date_entered'. I cannot use 'group by' on account_id as I intend to use 'group by' on BU and get summation accordingly. Please help.
select uc.business_unit_dp_c,
FORMAT(SUM(CASE
WHEN lc.source_leads_c not in ('Discovery','Discovery SuperEmail','Self Generated','Partner','Channel_Partner') and k.id<>'' THEN k.order_value
WHEN lc.source_leads_c not in ('Discovery','Discovery SuperEmail','Self Generated','Partner','Channel_Partner') and s.id<>'' THEN s.sivr_aiv_inr
ELSE 0
END),0)
as Online,
FORMAT(SUM(CASE
WHEN lc.source_leads_c in ('Discovery', 'Discovery SuperEmail') and k.id<>'' THEN k.order_value
WHEN lc.source_leads_c in ('Discovery', 'Discovery SuperEmail') and s.id<>'' THEN s.sivr_aiv_inr
ELSE 0
END),0)
as Discovery,
FORMAT(SUM(CASE
WHEN lc.source_leads_c in ('Partner','Channel_Partner') and k.id<>'' THEN k.order_value
WHEN lc.source_leads_c in ('Partner','Channel_Partner') and s.id<>'' THEN s.sivr_aiv_inr
ELSE 0
END),0)
as Self_Generated_CP
from opportunities as o
left join opportunities_cstm as oc on o.id=oc.id_c
left join opportunities_knw_caf_1_c as ok on o.id=ok.opportunities_knw_caf_1opportunities_ida
left join knw_caf as k on ok.opportunities_knw_caf_1knw_caf_idb=k.id
left join opportunities_knw_sivr_caf_1_c as os on os.opportunities_knw_sivr_caf_1opportunities_ida=o.id
left join knw_sivr_caf as s on s.id=os.opportunities_knw_sivr_caf_1knw_sivr_caf_idb
left join accounts_opportunities as ao on ao.opportunity_id=o.id
left join leads as l on l.account_id=ao.account_id and l.account_id <> ''
left join leads_cstm as lc on lc.id_c=l.id
left join users_cstm as uc on uc.id_c=o.assigned_user_id
where o.sales_stage='clw' and
(k.id<>'' or s.id<>'') and o.jira_raise_date <> '' and
(o.tranjection_type in ('Fresh Plan / New Customer','Number Activation','Revival','Balance Amount') or o.transaction_sivr in ('Paid Project','Number Allocation','New Feature')) and
o.jira_raise_date between '2016-06-01' and curdate()
group by uc.business_unit_dp_c
Write SQL just as you described
Select *
from from opportunities o
left join opportunities_cstm oc
on o.id = oc.id_c
left join opportunities_knw_caf_1_c ok
on o.id = ok.opportunities_knw_caf_1opportunities_ida
left join knw_caf k
on ok.opportunities_knw_caf_1knw_caf_idb = k.id
left join opportunities_knw_sivr_caf_1_c os
on os.opportunities_knw_sivr_caf_1opportunities_ida=o.id
left join knw_sivr_caf s
on s.id = os.opportunities_knw_sivr_caf_1knw_sivr_caf_idb
left join accounts_opportunities ao
on ao.opportunity_id=o.id
left join leads l
on l.account_id=ao.account_id
and l.account_id <> ''
left join leads_cstm lc
on lc.id_c = l.id
left join users_cstm uc
on uc.id_c = o.assigned_user_id
where o.sales_stage = 'clw' and
and (k.id <> '' or s.id <> '')
and o.jira_raise_date <> ''
and (o.tranjection_type in
('Fresh Plan / New Customer',
'Number Activation','Revival','Balance Amount') or
o.transaction_sivr in
('Paid Project','Number Allocation','New Feature'))
and o.jira_raise_date between '2016-06-01' and curdate()
-- next, add this additional predicate to Where clause...
use table w/DateEntered column
and date_entered =
(Select Min(date_entered)
From accounts_opportunities os
join tableWithDateEntered dr -- Table w/DateEntered
on ????? -- proper join criteria here
Where os.account_id = l.account_id)
--- or as constructed by op ( and simplified by me, since both account_id and date_entered are in table leads, that's the only table that needs to be referenced in the subquery).....
and l.date_entered =
(select min(date_entered)
from leads
where account_id = l.account_id)
select min(C.date),C.Customer_Code from (
select InvoiceNo,month(InvoiceDate) as date,Customer_Code,Createddate from tbl_Invoices A Inner Join tbl_customer B on A.customer_Code=B.CustomerCode
where YEAR(InvoiceDate)='2017'
and CustomerCode not in (select CustomerCode from tbl_customer where year(createddate) in (year(getdate())))
and CustomerCode not in (select customer_Code from tbl_Invoices where year(InvoiceDate) in (year(getdate())-1))
and CustomerCode in (select customer_Code from tbl_Invoices where year(InvoiceDate) not in (year(getdate())))
--group by Customer_Code,Createddate,InvoiceNo
)C group by C.Customer_Code
Product name supplier
A Su1
A Su1
A Su2
B Su1
C Su3
I want like this
A - su1, A-su2, B-su1, C-su3
Query:
SELECT
vtiger_salesorder.salesorder_no,
(Select
group_concat(DISTINCT concat(vtiger_products.productname, '-', vtiger_vendor.vendorname ) SEPARATOR ', ')
FROM
vtiger_salesorder
LEFT Join vtiger_inventoryproductrel ON vtiger_salesorder.salesorderid = vtiger_inventoryproductrel.id
inner Join vtiger_products ON vtiger_products.productid = vtiger_inventoryproductrel.productid
inner Join softMax_SalesOrderVendorInfo ON softMax_SalesOrderVendorInfo.salesorderid = vtiger_salesorder.salesorderid
LEFT JOIN vtiger_vendor ON softMax_SalesOrderVendorInfo.vendorid = vtiger_vendor.vendorid
where (vtiger_salesorder.salesorderid = vtiger_inventoryproductrel.id
AND vtiger_salesorder.salesorderid = vtiger_crmentity.crmid
and (softMax_SalesOrderVendorInfo.status = '0') )Group by vtiger_salesorder.salesorderid Limit 0,1) As SuName1
FROM
vtiger_salesorder
INNER JOIN vtiger_inventoryproductrel ON vtiger_salesorder.salesorderid = vtiger_inventoryproductrel.id
Inner Join vtiger_crmentity ON vtiger_salesorder.salesorderid = vtiger_crmentity.crmid
Order by vtiger_salesorder.salesorder_no
Given your original data, you can simply do this with something like:
select distinct group_concat(ProductName, '-', Supplier separator ', ')
from table t;
I have no idea what the query has to do with the question, because you already seem to have the data in the appropriate format.
I have this query.
SELECT notes.id,enter.name as 'enter_name',step.title as 'flow status',notes.user_name as user_created,notes.created,notes.rel_client_id,td_doc_nr.value_string as 'document number',enter.enter_code,
IF(!ISNULL(td_doc_nr.value_string),
(SELECT GROUP_CONCAT(product_name SEPARATOR ',') from notes d
join note_bundles b on b.note_id = d.id
join note_products p on p.doc_bundle_id = b.id
join note_product_get_fields f on f.doc_product_id = p.id
join note_product_get_field_data fd on fd.get_field_id = f.id
where d.doc_nr = td_doc_nr.value_string
and value_string ='auto')
,NULL) as test
FROM notes notes
JOIN notes_steps step ON step.id = notes.step_id
JOIN notes_enters enter ON enter.id = notes.enter_id
LEFT JOIN notes_custom_fields tf_doc_nr ON tf_doc_nr.name = 'note_number' AND tf_doc_nr.rel_entity_id = enter.id
LEFT JOIN notes_custom_field_data td_doc_nr ON td_doc_nr.rel_entity_id = notes.id AND
td_doc_nr.field_instance_id = tf_doc_nr.id
WHERE notes.enter_id in (777) AND notes.status = 1
I added this subquery to the 'if statement'
SELECT GROUP_CONCAT(product_name SEPARATOR ',') from nontes d
join note_bundles b on b.note_id = d.id
join note_products p on p.doc_bundle_id = b.id
join note_product_get_fields f on f.doc_product_id = p.id
join note_product_get_field_data fd on fd.get_field_id = f.id
where d.doc_nr = 'G7777777'
and value_string ='auto'
After this I added a new column.
SELECT GROUP_CONCAT(product_name SEPARATOR ','),GROUP_CONCAT(DISTINCT b.msisdn SEPARATOR ',') from notes d
join note_bundles b on b.note_id = d.id
join note_products p on p.doc_bundle_id = b.id
join note_product_get_fields f on f.doc_product_id = p.id
join note_product_get_field_data fd on fd.get_field_id = f.id
where d.doc_nr = 'G7777777'
and value_string ='auto'
It returns two columns.
How can I return two columns?Is it possible? :) Thanks
A subquery inside an IF statement can't return multiple columns. You will need to join the subquery into the results, and pull out the two separate columns individually:
SELECT ...
IF(!ISNULL(td_doc_nr.value_string), sub.one, NULL) as one,
IF(!ISNULL(td_doc_nr.value_string), sub.two, NULL) as two
FROM ...
LEFT JOIN (
SELECT d.doc_nr, GROUP_CONCAT(product_name SEPARATOR ','),GROUP_CONCAT(DISTINCT b.msisdn SEPARATOR ',') from documents d
join document_bundles b on b.document_id = d.id
join document_products p on p.doc_bundle_id = b.id
join document_product_cstm_fields f on f.doc_product_id = p.id
join document_product_cstm_field_data fd on fd.cstm_field_id = f.id
where value_string ='auto'
group by d.doc_nr
) sub on sub.doc_nr = td_doc_nr.value_string
A correlated subquery inside an IF statement can only return 1 column and 1 row, this is why you are getting the error. However, looking over your query the only outer reference inside the subquery is
d.doc_nr = td_doc_nr.value_string
So you do not need actually need a correlated subquery and you can achieve the same result by moving the subquery to a join and grouping by doc_nr within the subquery, which will probably be much more efficient, and it will allow you to return the 2 columns you want:
SELECT tickets.id,
source.name as 'source_name',
flow_stage.title as 'flow status',
tickets.user_name as user_created,
tickets.created,
tickets.rel_client_id,
td_doc_nr.value_string as 'document number',
source.source_code,
IF(!ISNULL(td_doc_nr.value_string), ProductNames, NULL) as test,
d.MSISDNS
FROM tickets tickets
JOIN tickets_flow_stages flow_stage
ON flow_stage.id = tickets.flow_stage_id
JOIN tickets_sources source
ON source.id = tickets.source_id
LEFT JOIN tickets_custom_fields tf_doc_nr
ON tf_doc_nr.name = 'document_number'
AND tf_doc_nr.rel_entity_id = source.id
LEFT JOIN tickets_custom_field_data td_doc_nr
ON td_doc_nr.rel_entity_id = tickets.id
AND td_doc_nr.field_instance_id = tf_doc_nr.id
LEFT JOIN
( SELECT d.Doc_nr,
GROUP_CONCAT(product_name SEPARATOR ',') AS ProductNames,
GROUP_CONCAT(DISTINCT b.msisdn SEPARATOR ',') AS MSISDNS
from documents d
INNER JOIN document_bundles b
ON b.document_id = d.id
INNER JOIN document_products p
ON p.doc_bundle_id = b.id
INNER JOIN document_product_cstm_fields f
ON f.doc_product_id = p.id
INNER JOIN document_product_cstm_field_data fd
ON fd.cstm_field_id = f.id
WHERE value_string ='auto'
GROUP BY d.Doc_nr
) d
ON d.doc_nr = td_doc_nr.value_string
WHERE tickets.source_id IN (114,122,125,129,131)
AND tickets.status = 1