I have a database table like :
+---+-------------+
|id |ship_method |
+---+-------------+
| 1 |freeshipping |
| 1 | flatrate |
| 2 | DHL |
| 3 | matrixrate |
| 1 | courier |
+---+-------------+
So, I want to update ship_method from frontend form based on multi option selected.
For eg : if Id 1 selects freeshipping , DHL , matrixrate then the corresponding values of ship_method should be updated.
What is the mysql query to update in this case. I tried but couldn't find how to update such multiple rows at once.
Delete previous data and insert new all
delete from table where id=1;
insert into table_name(id,ship_method) values(1,'freeshipping'),(1,'DHL'),(1,'matrixrate');
Related
For my further work I need to create a lookup table where all the different IDs my data has (because of different sources) are noted.
It has to look like this:
Lookup_Table:
| Name | ID_source1 | ID_source2 | ID_source3 |
-----------------------------------------------
| John | EMP_992 | AKK81239K | inv1000003 |
Note, that Name and ID_Source1 are coming from the same table. The other IDs are coming from different tables. They share the same name value, so e.g. source 2 looks like this:
Source2 Table:
| Name | ID |
--------------------
| John | AKK81239K |
What is the SQL code to accomplish this? Im using Access and it doesnt seem to work with this code for source 2:
INSERT INTO Lookup_Table ([ID_Source2])
SELECT [Source2].[ID]
FROM Lookup_Table LEFT JOIN [Source2]
ON [Lookup_Table].[Name] = [Source2].[Name]
It just adds the ID from Source2 in a new row:
| Name | ID_source1 | ID_source2 | ID_source3 |
-----------------------------------------------
| John | EMP_992 | | |
| | | AKK81239K | |
Hope you guys can help me.
You're looking for an UPDATE query, not an INSERT query.
An UPDATE query updates existing records. An INSERT query inserts new records into a table.
UPDATE Lookup_Table
INNER JOIN [Source2] ON [Lookup_Table].[Name] = [Source2].[Name]
SET [ID_Source2] = [Source2].[ID]
I have a following table in Postgres
+----+-----------+----------------------+---------+
| id | user_fk| language_fk | details |
+----+-----------+----------------------+---------+
| 1 | 2 | en-us | 123 |
| 2 | 3 | en-us | 456 |
| 3 | 4 | en-us | 789 |
| 4 | 4 | es-la | 012 |
+----+-----------+----------------------+---------+
And I want to reduce this to the following SQL statement:
UPDATE users SET details = '{"en-us": "789", "es-la": "012"}' WHERE id = 4;
UPDATE users SET details = '{"en-us": "123"}' WHERE id = 2;
UPDATE users SET details = '{"en-us": "456"}' WHERE id = 3;
So I want to reduce languages per user and put it in a different table. Is there a way to do this in Postgres?
Use the function jsonb_object_agg() to get the expected output:
select
min(id) as id,
user_fk,
jsonb_object_agg(language_fk, details) as details
from users
group by user_fk
id | user_fk | details
----+---------+----------------------------------
1 | 2 | {"en-us": "123"}
2 | 3 | {"en-us": "456"}
3 | 4 | {"en-us": "789", "es-la": "012"}
(3 rows)
You cannot update the table in this way because of different types of old and new details column. Create a new table with reduced columns using create table from select:
create table new_users as
select
min(id) as id,
user_fk,
jsonb_object_agg(language_fk, details) as details
from users
group by user_fk;
I have to update a value in one field of a table (t1).
Current table t1 records :
| POLNAME | VALUE |
|-------------------|
| TEST_01 | Normal |
| TEST_02 | High |
| TEST_03 | Normal |
| TEST_04 | Low |
| TEST_05 | Low** |
New table t1 records expected after the update :
| POLNAME | VALUE |
|-------------------|
| REST_01 | Normal |
| REST_02 | High |
| REST_03 | Normal |
| REST_04 | Low |
| REST_05 | Low** |
I need to replace, in t1-POLNAME field, the fixed value 'TEST_' by 'REST_' for all records of table t1.
I can do one by one using an UPDATE SQL command, but my goal is to replace all records using one SQL command.
You can use the REPLACE SQL FUNCTION.
UPDATE t1 SET POLNAME=REPLACE(POLNAME, 'TEST','REST');
You can use the REPLACE Syntax
UPDATE t1 SET POLNAME=REPLACE(POLNAME, 'TEST','REST');
I have data on approx 1000 individuals, where each individual can have multiple rows, with multiple dates and where the columns indicate the program admitted to and a code number.
I need each row to contain a distinct date, so I need to delete the rows of duplicate dates from my table. Where there are multiple rows with the same date, I need to keep the row that has the lowest code number. In the case of more than one row having both the same date and the same lowest code, then I need to keep the row that also has been in program (prog) B. For example;
| ID | DATE | CODE | PROG|
--------------------------------
| 1 | 1996-08-16 | 24 | A |
| 1 | 1997-06-02 | 123 | A |
| 1 | 1997-06-02 | 123 | B |
| 1 | 1997-06-02 | 211 | B |
| 1 | 1997-08-19 | 67 | A |
| 1 | 1997-08-19 | 23 | A |
So my desired output would look like this;
| ID | DATE | CODE | PROG|
--------------------------------
| 1 | 1996-08-16 | 24 | A |
| 1 | 1997-06-02 | 123 | B |
| 1 | 1997-08-19 | 23 | A |
I'm struggling to come up with a solution to this, so any help greatly appreciated!
Microsoft SQL Server 2012 (X64)
The following works with your test data
SELECT ID, date, MIN(code), MAX(prog) FROM table
GROUP BY date
You can then use the results of this query to create a new table or populate a new table. Or to delete all records not returned by this query.
SQLFiddle http://sqlfiddle.com/#!9/0ebb5/5
You can use min() function: (See the details here)
select ID, DATE, min(CODE), max(PROG)
from table
group by DATE
I assume that your table has a valid primary key. However i would recommend you to take IDas Primary key. Hope this would help you.
I have a log table with web log entries which have a session ID. I also have a session table summarizing sessions from the previous table. So I have to run some update SQL statement but I don't get how to construct a SQL statement for a field named "session_length". In this field I hope to assign the number of events in that particular session.
Let's say I have the following log table:
| Session ID | Timestamp | Action | ...
| 1 | 00:00:00 | get | ...
| 2 | 00:00:00 | get | ...
| 1 | 00:00:01 | get | ...
| 1 | 00:00:02 | get | ...
| 2 | 00:00:02 | get | ...
In the session table, I would like to have the following values for session_length field:
| Session ID | session_length | ...
| 1 | 3 | ...
| 2 | 2 | ...
I am not sure whether this can be done by a single query but I would like to see if this can be done by a single SQL query using update. In particular, I am using PostgresSQL in AWS RedShift.
You can do this with a correlated subquery in the update statement:
update sessions
set session_length = (select count(*)
from log
where log.sessionid = sessions.sessionid
)