How can I modify this statement to set the region value where there are multiple values in the location_town column?
UPDATE `wp_em_locations` SET `location_region` = 'The-Valley'
WHERE `location_town` = 'Bond'
IE: Bond is not the only town, I have many town names but all should be used to set location_region = The-Valley.
How do I accomplish this using one statement? Or do i need to run the same statement for each town name?
You can use either an OR or IN statement
WHERE `location_town` IN ('Bond', 'OtherTown')
or (no pun intended)
WHERE `location_town` = 'Bond' OR `location_town` = 'OtherTown'
Is the statement more complex than this? if you're trying to set every row to have location_region set to 'The-Valley' why use the where clause, which only serves to limit the scope of the update query?
Would this do what you're looking for, are am I misunderstanding?
UPDATE `wp_em_locations` SET `location_region` = 'The-Valley' WHERE 1;
Related
I want to add weight value to row 2. How do I do that? I tried to do the following but it gives me an error:
INSERT INTO name(member_id, weight) VALUES(2,55.6);
What is the mistake that I'm having?
If you're updating a specific row you need to use the UPDATE command
UPDATE talbename
SET weight =55.6
WHERE member_id = 2
You can use the UPDATE clause and use a WHERE condition to target a particular row -
UPDATE fromis_9
SET weight = 2
WHERE member_id = 2;
INSERT INTO clause is used for inserting new records.
To Update an existing record, UPDATE clause is used.
UPDATE fromis_9 SET weight = 55.6 WHERE member_id = 2;
Hi I think you should use INSERT INTO table
where condition(member.id=2)
please refer to https://www.w3schools.com/sql/sql_insert_into_select.asp
Its better to learn how to read documentation than wait for complete answer ;)
I am trying to update a table (~2 million rows) based on another table(10k rows). However, my update query is taking extremely long(30 mins) without any outputs as of yet. Is there a way to optimise this query?
UPDATE global_mobility_report
SET
global_mobility_report.locationID1 = (SELECT
geography.locationID
FROM
geography
WHERE
global_mobility_report.country_region = geography.country_region
AND global_mobility_report.sub_region_1 = geography.sub_region_1
AND global_mobility_report.sub_region_2 = geography.sub_region_2
AND global_mobility_report.metro_area = geography.metro_area
AND global_mobility_report.iso_3166_2_code = geography.iso_3166_2_code
AND global_mobility_report.census_fips_code = geography.census_fips_code);
UPDATE global_mobility_report
JOIN geography USING ( country_region,
sub_region_1,
sub_region_2,
metro_area,
iso_3166_2_code,
census_fips_code )
SET global_mobility_report.locationID1 = geography.locationID;
The presence of according index will improve.
The rows in global_mobility_report which have no according row in geography will not be updated (stay unchanged). If you need them to be set to NULL then use LEFT JOIN.
I simply indexed the country_region,
sub_region_1,
sub_region_2,
metro_area,
iso_3166_2_code,
census_fips_code columns and it worked like a charm!
Address Table with 50 records. Has a bool field called "primary_address_indicator".
I want to update a selected record to true and automatically set all other 49 records to false.
I know I can do this with 2 sql statements
First (update all records to false)
UPDATE address SET address.primary_address_indicator=0
Then (update specific record to true)
UPDATE address SET address.primary_address_indicator=1 WHERE address.record_id=31
Is there a way to do this in a single sql statement? Something like #Rank?
Keeping it simple... no Unions or some weird self table join.
Maybe what I am looking for does not exist...and that is fine too. just curious.
Update with Case
UPDATE tableName
SET Pin = CASE
WHEN 1=1 --'your condition'
THEN True
ELSE False
END
PC : #keWalker
The simplest way is simply to treat the boolean result as a number:
UPDATE address a
SET a.primary_address_indicator = (a.record_id = 31);
CASE is the formal way to do it. This short-hand is specific to MySQL but it is one of the database-specific features that I like.
SQL:
$mysqli->query("UPDATE results
SET result_value = '".$row[0]['logo_value']."'
WHERE logo_id = '".$mysqli->real_escape_string($_GET['logo_id'])."'
AND user_id = '".$user_data[0]['user_id']."'");
This results table also contains result_tries I'd like to fetch before doing update, so I can use it to modify result_value... Is there a way to do it in a single shot instead of first doing select and than doing update?
Is this possible?
Basically:
UPDATE results SET result_value = result_value + $row[0][logo_value]
for just a simple addition. You CAN use existing fields in the record being updated as part of the update, so if you don't want just addition, there's not too many limits on what logic you can use instead of just x = x + y.
I'm trying to update one column of MySQL table with subquery that returns a date, and another subquery for the WHERE clause.
Here is it:
UPDATE wtk_recur_subs_temp
SET wtk_recur_date = (SELECT final_bb.date
FROM final_bb, wtk_recur_subs
WHERE final_bb.msisdn = wtk_recur_subs.wtk_recur_msisdn)
WHERE wtk_recur_subs_temp.wtk_recur_msisdn IN (select final_bb.msisdn
from final_bb)
The response from the MySQL engine is "Subquery returns more than 1 row".
Use:
UPDATE wtk_recur_subs_temp,
final_bb,
wtk_recur_subs
SET wtk_recur_subs_temp.wtk_recur_date = final_bb.date
WHERE final_bb.msisdn = wtk_recur_subs.wtk_recur_msisdn
AND wtk_recur_subs_temp.wtk_recur_msisdn = final_bb.msisdn
The error is because:
SET wtk_recur_date = (SELECT final_bb.date
FROM final_bb, wtk_recur_subs
WHERE final_bb.msisdn = wtk_recur_subs.wtk_recur_msisdn)
...the final_bb.date value is all the date values where the final_bb and wtk_recur_subs msisdn column values match.
This may come as an utter shock to you, but one of your subqueries is returning more than one row!
This isn't permitted in the circumstance you've set up. Each of those two subqueries must return one and only one row. Or no rows.
Perform each subquery on it's own and determine which one is returning more than one row. If they shouldn't return more than one row, your data may be wrong. If they should return more than one row, you'll either want to modify the data so they don't (as I assume you expect), or add a LIMIT clause. Or add an aggregate function (like MAX) outside the query to do something proper with the multiple rows being returned.