I have three tables, emails, person_details and data_providers. Basically all of my users id, email, and current assigned data_providers_id are stored in the emails table.
The second table, person_details contains demographic information collected by multiple data providers, each row identified by an emails_id that is relational to the emails.id data_providers_id that is relational to the third table data_providers.id
The third table, data_providers contains each of my data providers id, name, and precedence.
Basically, a users information could be collected from multiple sources, and I need to UPDATE emails set data_providers_id = based on a select that would JOIN the person_details table and the data_providers table sorting by data_providers.precedence DESC then person_details.import_date ASC and use the first value (highest precedence, then oldest import_date).
I was trying to build the query, but my subquery is returning more than one row. This query is a little over my head, hoping someone more experienced with complex queries might be able to point me in the right direction.
UPDATE emails
SET emails.data_providers_id =
SELECT person_details.data_providers_id
FROM person_details
LEFT JOIN data_providers ON person_details.data_providers_id = data_providers.id
ORDER BY data_providers.percent_payout ASC, person_details.import_date ASC ;
Here are some details about the three tables if this helps. Any guidance would be MUCH appreciated. Thanks in advance :)
emails table:
+-------------------+---------------------+------+-----+---------------------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+---------------------+------+-----+---------------------+----------------+
| id | int(11) unsigned | NO | PRI | NULL | auto_increment |
| data_providers_id | tinyint(3) unsigned | NO | MUL | NULL | |
| email | varchar(255) | NO | UNI | NULL | |
+-------------------+---------------------+------+-----+---------------------+----------------+
person_details:
+-------------------+---------------------+------+-----+---------------------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+---------------------+------+-----+---------------------+-------+
| emails_id | int(11) unsigned | NO | PRI | NULL | |
| data_providers_id | tinyint(3) unsigned | NO | PRI | NULL | |
| fname | varchar(255) | YES | | NULL | |
| lname | varchar(255) | YES | | NULL | |
| address_line1 | text | YES | | NULL | |
| address_line2 | text | YES | | NULL | |
| city | varchar(255) | YES | | NULL | |
| state | varchar(2) | YES | | NULL | |
| zip5 | varchar(5) | YES | | NULL | |
| zip4 | varchar(4) | YES | | NULL | |
| home_phone | varchar(10) | YES | | NULL | |
| mobile_phone | varchar(10) | YES | | NULL | |
| work_phone | varchar(10) | YES | | NULL | |
| dob | date | YES | | NULL | |
| gender | varchar(1) | YES | | NULL | |
| ip_address | varchar(15) | NO | | NULL | |
| source | varchar(255) | NO | | NULL | |
| optin_datetime | datetime | NO | MUL | NULL | |
| import_date | timestamp | NO | | 0000-00-00 00:00:00 | |
+-------------------+---------------------+------+-----+---------------------+-------+
data_providers table:
+-----------------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------------+---------------------+------+-----+---------+----------------+
| id | tinyint(3) unsigned | NO | PRI | NULL | auto_increment |
| name | varchar(255) | NO | | NULL | |
| precedence | int(2) | YES | | 0 | |
+-----------------+---------------------+------+-----+---------+----------------+
To use a SELECT as an expression you have to put it in parentheses. And to get the first value, use LIMIT 1:
UPDATE emails
SET emails.data_providers_id = (
SELECT person_details.data_providers_id
FROM person_details
LEFT JOIN data_providers ON person_details.data_providers_id = data_providers.id
WHERE person_details.emails_id = emails.id
ORDER BY data_providers.percent_payout ASC, person_details.import_date ASC
LIMIT 1) ;
Related
I have 2 tables - patients, and issuers.
I with to extract entire patients table along with issuer_name from patients and issuers table. Optionally there might be no issuer of patient identifier.
If i do:
select * from patients, issuer_name where patients.issuer_of_patient_identifier=issuer.issuer_id doesn't return anything in case for the corresponding patient table row issuer_of_patient_identifier is NULL.
How do i accomplish this?
mysql> describe patients;
+------------------------------+--------------+------+-----+-------------------+-----------------------------+
| Field | Type | Null | Key | Default | Extra |
+------------------------------+--------------+------+-----+-------------------+-----------------------------+
| patient_id | int(11) | NO | PRI | NULL | auto_increment |
| patient_identifier | varchar(64) | YES | MUL | NULL | |
| issuer_of_patient_identifier | int(11) | YES | MUL | NULL | |
| medical_record_locator | varchar(64) | YES | | NULL | |
| patient_name | varchar(128) | NO | MUL | NULL | |
| birth_date | datetime | YES | | NULL | |
| deceased_date | datetime | YES | | NULL | |
| gender | varchar(16) | YES | | NULL | |
| ethnicity | varchar(45) | YES | | NULL | |
| date_created | datetime | NO | | CURRENT_TIMESTAMP | |
| last_update_date | datetime | YES | | NULL | on update CURRENT_TIMESTAMP |
| last_updated_by | varchar(128) | NO | | NULL | |
+------------------------------+--------------+------+-----+-------------------+-----------------------------+
12 rows in set (0.00 sec)
mysql> describe issuers;
+------------------+--------------+------+-----+-------------------+-----------------------------+
| Field | Type | Null | Key | Default | Extra |
+------------------+--------------+------+-----+-------------------+-----------------------------+
| issuer_id | int(11) | NO | PRI | NULL | auto_increment |
| issuer_name | varchar(64) | NO | MUL | NULL | |
| issuer_uid | varchar(128) | YES | | NULL | |
| issuer_uid_type | varchar(64) | YES | | NULL | |
| date_created | datetime | NO | | CURRENT_TIMESTAMP | |
| last_update_date | datetime | YES | | NULL | on update CURRENT_TIMESTAMP |
| last_updated_by | varchar(128) | NO | | NULL | |
+------------------+--------------+------+-----+-------------------+-----------------------------+
The query is
select * from patients
LEFT JOIN issuer_name ON
patients.issuer_of_patient_identifier = issuer.issuer_id
Without joins:
select * from patients, issuer_name
where patients.issuer_of_patient_identifier = issuer.issuer_id
OR patients.issuer_of_patient_identifier IS NULL
Never use commas in the FROM clause. Always use proper, explicit JOIN syntax. Avoid tutorials that use commas. Challenge instructors that show examples with them.
You want a LEFT JOIN:
select *
from patients p left join
issuer_name i
on p.issuer_of_patient_identifier = i.issuer_id;
I have two databases.
One is called INFO with three tables (Stories, Comments, Replies)
Stories has the following fields
+--------------+----------------+------+-----+---------------------+-----------------------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+----------------+------+-----+---------------------+-----------------------------+
| storyID | int(11) | NO | PRI | NULL | |
| originalURL | varchar(500) | YES | | NULL | |
| originalDate | timestamp | NO | | CURRENT_TIMESTAMP | on update CURRENT_TIMESTAMP |
| numDiggs | int(11) | YES | | NULL | |
| numComments | int(11) | YES | | NULL | |
| diggURL | varchar(500) | YES | | NULL | |
| rating | varchar(50) | YES | | NULL | |
| title | varchar(200) | YES | | NULL | |
| summary | varchar(10000) | YES | | NULL | |
| uploaderID | varchar(50) | YES | | NULL | |
| imageURL | varchar(500) | YES | | NULL | |
| category1 | varchar(50) | YES | | NULL | |
| category2 | varchar(50) | YES | | NULL | |
| uploadDate | timestamp | NO | | 0000-00-00 00:00:00 | |
| num | int(11) | YES | | NULL | |
+--------------+----------------+------+-----+---------------------+-----------------------------+
Another database is called Data with one table (User). Fields shown below:
+-------------------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+-------------+------+-----+---------+-------+
| userID | varchar(50) | NO | PRI | NULL | |
| numStories | int(11) | YES | | NULL | |
| numComments | int(11) | YES | | NULL | |
| numReplies | int(11) | YES | | NULL | |
| numStoryDiggs | int(11) | YES | | NULL | |
| numCommentReplies | int(11) | YES | | NULL | |
| numReplyDiggs | int(11) | YES | | NULL | |
| numStoryComments | int(11) | YES | | NULL | |
| numStoryReplies | int(11) | YES | | NULL | |
+-------------------+-------------+------+-----+---------+-------+
User.userID is full of thousands of unique names. All other fields are currently NULL. The names in User.userID correspond to the names in Stories.uploaderID.
I need to, for each userID in User, count the number of stories uploaded from (i.e. num) Stories for the corresponding name and insert this value into User.numStories.
The query which I have come up with (which produces an error) is:
INSERT INTO DATA.User(numStories)
SELECT count(num)
FROM INFO.Stories
WHERE INFO.Stories.uploaderID=DATA.User.userID;
The error I get when running this query is
Unknown column 'DATA.User.userID' in 'where clause'
Sorry if this is badly explained. I will try and re-explain if need be.
You aren't creating new entries in the User table, you're updating existing ones. Hence, insert isn't the right syntax here, but rather update:
UPDATE DATA.User u
JOIN (SELECT uploaderID, SUM(num) AS sumNum
FROM INFO.Stories
GROUP BY uploadedID) i ON i.uploaderID = u.userID
SET numStories = sumNum
EDIT:
Some clarification, as requested in the comments.
The inner query sums the num in Stories per uploaderId. The updates statement updates the numStories in User the the calculated sum of the inner query of the matching id.
I am trying to write a MySQL query that gives me results of Organisation Name, its Post Code, any Events that belong to the Organisation and the Post Code of that Event. I've tried all sorts of of join, join and select combinations to no avail. Is this something that is possible ? (I could have a separate table for Org Address and Event Address but it seems like it should be possible to use just one table)
My table structures:
mysql> DESCRIBE cc_organisations;
+-------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| user_id | int(10) unsigned | NO | MUL | NULL | |
| type | enum('C','O') | YES | | NULL | |
| name | varchar(150) | NO | MUL | NULL | |
| description | text | YES | | NULL | |
+-------------+------------------+------+-----+---------+----------------+
5 rows in set (0.00 sec)
mysql> DESCRIBE cc_events;
+-------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| org_id | int(10) unsigned | NO | MUL | NULL | |
| name | varchar(150) | NO | MUL | NULL | |
| start_date | int(11) | NO | MUL | NULL | |
| end_date | int(11) | YES | MUL | NULL | |
| start_time | int(11) | NO | | NULL | |
| end_time | int(11) | NO | | NULL | |
| description | text | YES | | NULL | |
+-------------+------------------+------+-----+---------+----------------+
8 rows in set (0.00 sec)
mysql> DESCRIBE cc_addresses;
+--------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| org_id | int(10) unsigned | YES | MUL | NULL | |
| event_id | int(10) unsigned | YES | MUL | NULL | |
| post_code | varchar(7) | NO | MUL | NULL | |
| address_1 | varchar(100) | NO | | NULL | |
| address_2 | varchar(100) | YES | | NULL | |
| town | varchar(50) | NO | | NULL | |
| county | varchar(50) | NO | | NULL | |
| email | varchar(150) | NO | | NULL | |
| phone | int(11) | YES | | NULL | |
| mobile | int(11) | YES | | NULL | |
| website_uri | varchar(150) | YES | | NULL | |
| facebook_uri | varchar(250) | YES | | NULL | |
| twitter_uri | varchar(250) | YES | | NULL | |
+--------------+------------------+------+-----+---------+----------------+
14 rows in set (0.00 sec)
select o.Name, oAddress.PostCode, e.Name, eAddress.PostCode
from cc_organisations o
inner join cc_addresses oAddress on oAddress.org_id = o.id
left outer join cc_events e on e.org_id=o.id
inner join cc_addresses eAddress on eAddress.event_id = e.id
SELECT cco.name as OrgName, cca.post_code as OrgPostCode, cce.id,
cce.org_id, cce.name, cce.start_date, cce.end_date, cce.start_time,
cce.end_time, cce.description
FROM cc_events cce, cc_addresses cca, cc_organisations cco
WHERE cca.event_id = cce.id AND cco.id=cce.org_id
ORDER BY cce.start_date
LIMIT 50;
You can change your sort and limit, I just added those in because I don't know how big your DB is... You may even be able to get away with:
SELECT cco.name as OrgName, cca.post_code as OrgPostCode, cce.*
FROM cc_events cce, cc_addresses cca, cc_organisations cco
WHERE cca.event_id = cce.id AND cco.id=cce.org_id
ORDER BY cce.start_date LIMIT 50;
But im not 100% sure if the 2nd query will bum out or not.
Your address table has the post codes in it; but it also has an organization id and event id foreign keys. We only need to check the event_id from the address table because any event will belong to an organization.
Address's Event matched Event ID
Event's Organization matched Organization ID
Database Tables
ss_merchant
+----------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------+--------------+------+-----+---------+----------------+
| pk_merchant_id | bigint(20) | NO | PRI | NULL | auto_increment |
| name | varchar(45) | YES | | NULL | |
| website | varchar(100) | YES | | NULL | |
+----------------+--------------+------+-----+---------+----------------+
ss_merchant_store
+----------------------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------------+-------------+------+-----+---------+----------------+
| pk_merchant_store_id | bigint(20) | NO | PRI | NULL | auto_increment |
| fk_pk_merchant_id | bigint(20) | YES | | NULL | |
| street | varchar(20) | YES | | NULL | |
| city | varchar(20) | YES | | NULL | |
| postcode | varchar(8) | YES | | NULL | |
| telephone | varchar(15) | YES | | NULL | |
| email | varchar(45) | YES | | NULL | |
+----------------------+-------------+------+-----+---------+----------------+
ss_merchant_store_rating
+-----------------------------+------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------------------------+------------+------+-----+---------+----------------+
| pk_merchant_store_rating_id | bigint(20) | NO | PRI | NULL | auto_increment |
| fk_pk_merchant_store_id | bigint(20) | NO | | NULL | |
| rating | int(1) | YES | | NULL | |
+-----------------------------+------------+------+-----+---------+----------------+
and my query:
SELECT *
FROM ss_merchant
JOIN ss_merchant_stores
ON ss_merchant.pk_merchant_id = ss_merchant_stores.fk_pk_merchant_id
JOIN ss_merchant_store_rating
ON ss_merchant_stores.pk_merchant_store_id = ss_merchant_store_rating.fk_pk_merchant_store_id
There isn't anything specifically wrong with your join but it does make the assumption that all three tables have at least one row for each merchant_id. If you want to allow for non-existant merchant_store_rating rows consider using a LEFT JOIN
If there is no matching row for the
right table in the ON or USING part in
a LEFT JOIN, a row with all columns
set to NULL is used for the right
table. You can use this fact to find
rows in a table that have no
counterpart in another table:
SELECT left_tbl.* FROM left_tbl LEFT JOIN right_tbl
ON left_tbl.id = right_tbl.id WHERE right_tbl.id IS NULL;
This example finds all rows in
left_tbl with an id value that is not
present in right_tbl (that is, all
rows in left_tbl with no corresponding
row in right_tbl). This assumes that
right_tbl.id is declared NOT NULL.
I'm now trying to populate my 'testMatch' table (below) with data from my 'summary' table:
TESTMATCH TABLE
+------------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------------+--------------+------+-----+---------+-------+
| match_id | int(11) | NO | PRI | NULL | |
| match_date | date | YES | | NULL | |
| ground | varchar(50) | YES | MUL | NULL | |
| homeTeam | varchar(100) | YES | MUL | NULL | |
| awayTeam | varchar(100) | YES | MUL | NULL | |
| matchResult | varchar(100) | YES | MUL | NULL | |
| manOfMatch | varchar(30) | YES | | NULL | |
| homeTeam_captain | int(10) | YES | MUL | NULL | |
| homeTeam_keeper | int(10) | YES | MUL | NULL | |
| awayTeam_captain | int(10) | YES | MUL | NULL | |
| awayTeam_keeper | int(10) | YES | MUL | NULL | |
+------------------+--------------+------+-----+---------+-------+
There is no problem populating match_id -----> manOfMatch - it is 'homeTeam_captain', 'homeTeam_keeper', 'awayTeam_captain' and 'awayTeam_keeper' that i'm having problems bringing in.
SUMMARY TABLE
mysql> DESCRIBE SUMMARY;
+-----------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-----------------+--------------+------+-----+---------+-------+
| matchID | int(11) | NO | PRI | NULL | |
| Test | int(11) | YES | | NULL | |
| matchDate | date | YES | | NULL | |
| Ground | varchar(50) | YES | | NULL | |
| HomeTeam | varchar(100) | YES | | NULL | |
| AwayTeam | varchar(100) | YES | | NULL | |
| matchResult | varchar(50) | YES | | NULL | |
| MarginRuns | int(11) | YES | | NULL | |
| MarginWickets | int(11) | YES | | NULL | |
| ManOfMatch | varchar(40) | YES | | NULL | |
| HomeTeamCaptain | varchar(30) | YES | | NULL | |
| HomeTeamKeeper | varchar(30) | YES | | NULL | |
| AwayTeamCaptain | varchar(30) | YES | | NULL | |
| AwayTeamKeeper | varchar(30) | YES | | NULL | |
+-----------------+--------------+------+-----+---------+-------+
I need to somehow select the data from summary, get the corresponding player_id and input the player_id into my 'testMatch'. Player table below:
PLAYERS TABLE
mysql> describe players;
+----------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------+--------------+------+-----+---------+----------------+
| player_id | int(11) | NO | PRI | NULL | auto_increment |
| player_surname | varchar(30) | YES | | NULL | |
| team | varchar(100) | YES | MUL | NULL | |
+----------------+--------------+------+-----+---------+----------------+
So to clarify, eg. I want to select homeTeam_captain data FROM summary table BUT not the name, I want the corresponding player_id instead.
I assume I need to use some sort of join/subqueries to get this done... i've tried finding the correct select query first to make sure i'm pulling out the right data, and I have been using the below code for testing (thanks to user Larry_Croft for helping me with this):
select matchID, player_id, player_surname, team from players p, summary s
where
s.hometeamcaptain = p.player_surname AND s.HomeTeam = p.team ORDER BY matchID;
But this correctly brings back 65 rows (65 matches) BUT i then tried it with:
select matchID, player_id, player_surname, team from players p, summary s
where
s.hometeamKEEPER = p.player_surname AND s.HomeTeam = p.team ORDER BY matchID;
But this brings back only 61 rows (should be 65) so i must have an error in the logic.
Once I get this select to work, i then need to somehow include it into my 'INSERT INTO.....SELECT statement to put all the data into 'testMatch' table.
I hope this makes sense and thanks for your help!
Well for me it looks that there is eitehr a hometeamKEEPER that has a null value or that the value of hometeamKEEPER is not in the players table.
Using the following query you should be able to find the hometownKEEPER that are not in the players table:
SELECT matchID, player_id, player_surname, team
FROM players p
RIGHT JOIN summary s ON p.hometeamKEEPER = p.player_surname AND
s.HomeTeam = p.team
ORDER BY matchID;