I need to insert hash value into column b based on value of column a, but I need to do this for every row in table.
I always get this error no matter what I tried:
ERROR: more than one row returned by a subquery used as an expression
I have been trying different versions of the following:
UPDATE table
SET column b = md5((SELECT column a FROM table))
WHERE column a IS NOT NULL;
Any suggestions on how to perform this operation?
No need for a subquery here. As I understand, you want to store the checksum of column_a in column_b. As one would expect, Postgres' md5() function expects a single, scalar argument of string datatype, so:
UPDATE table
SET column_b = md5(column_a)
WHERE column_a IS NOT NULL;
Note that it would probably be simpler to use a computed column (available in Postgres 12) to store this derived information.
Related
this query is working fine.
UPDATE data
SET unit_id='a3110a89'
WHERE unit_id='7d18289f';
Now, I need to run this query over 30 times
so I made csv file import it to the DB with this command:
COPY mytable FROM 'D:/test.csv' WITH CSV HEADER DELIMITER AS ','
Now I have table called my table with 2 columns OLD and NEW
i want to search the table "data" in column unit_id anywhere there if the value equals to the value in table "mytable.old" replace it with the value "mytable.new" on the same row.
I tried to run this query but I get an error:
UPDATE data
SET unit_id=(SELECT mytable."old" FROM public.mytable)
WHERE unit_id=(SELECT mytable."new" FROM public.mytable)
error:
more than one row returned by a subquery used as an expression
I think i'm just trying to do it in the wrong way...
thx for the help!
by the way Im using PostgreSQL
Your subqueries need to be correlated to the outer update:
UPDATE data
SET unit_id = (SELECT mytable."new" FROM public.mytable where data.old = mytable.old)
WHERE unit_id in (SELECT mytable."old" FROM public.mytable);
That is, set the unit_id to the "new" value, when you find the "old" value in the table.
Can you try like this,
UPDATE data A
SET A.unit_id=B.old
FROM (SELECT mytable."old",mytable."new" FROM public.mytable) B
WHERE A.unit_id=B.new
UPDATE data A
SET unit_id = B."old"
FROM public.mytable B
WHERE A.unit_id = B."new"
;
BTW: it looks like you also have old and new swapped in your question. Do you really want A's value to be set to B's old field?
I would like to find the columns in a table that has a null value in it.
Is there a system table that have that information?
To find columns where "null" values are allowed try...
select *
from dbc.columns
where databasename = 'your_db_name'
and tablename = 'your_table_name'
and Nullable = 'Y'
then to identify the specific rows w/ null values, take the "ColumnName" from the previous result set and run queries to identify results... perhaps throw them in a volatile table if you want to take further action on them (update,delete).
-- for example you found out that column "foo" is nullable...
create volatile table isnull_foo_col
as
(
sel *
from your_table_name
where foo is null
) with data
on commit preserve rows;
If you have statistics collected on the column you can use the views found here for Teradata 12.0.03+ and Teradata 13.0.02+ to determine the number of records in the table that have NULL values.
In Teradata 14, if you use the SHOW STATISTICS with the VALUES clause you will get similar information generated by the views listed at the link above.
You can use the DBC.Columns data dictionary view to determine what columns in a particular table are nullable.
I want to make filtration on a column after selecting a specific value of another column in the same table, I tried to use #... special character followed by the column's name to get the address of this value.
My SQL statement is like the following :
SELECT ATTRIBUTE FROM TABLE WHERE FIELD = '#FIELDNAME';
If I used a specific value instead of #FIELDNAME, it will work properly but it will be static but I need it to be dynamic based on the selected value.
Create another table which will have the list of values that are in the FIELDNAME and give each record a unique id ,then retrieve the value depending on what you have selected by the name of the new table's field preceded by '#...'
I don't know if that what are you looking for, please let me know.
If no triggers are allowed, do you have any date/time column in the table? Is it possible to have that extra column anyway to see the time of a newly inserted row?
You may have to check the lastest row entered, save its field value into a variable. Then do the select based on the variable value.
Based on the vague last row id you could try the following (it's not pretty). But again, if you have date/time that's more accurate.
select attribute from table
where field = (select field from table
where rowid =(select max(rowid) from table))
;
upate
Do you have the priviledge to set up your insert command as below:
insert into table (id, col1, col2,...) values (1,'something', 'something',...)
returning id into variable; -- you may either save field or id depending on your table
Then you may use this variable to select the records you want.
Is it possible to copy data from column A to column B for all records in a table in SQL?
How about this
UPDATE table SET columnB = columnA;
This will update every row.
UPDATE table_name SET
destination_column_name=orig_column_name
WHERE condition_if_necessary
This will update all the rows in that columns if safe mode is not enabled.
UPDATE table SET columnB = columnA;
If safe mode is enabled then you will need to use a where clause.
I use primary key as greater than 0 basically all will be updated
UPDATE table SET columnB = columnA where table.column>0;
If you want to copy a column to another column with a different data type in PostgresSQL, you must cast/convert to the data type first, otherwise it will return
Query 1 ERROR: ERROR: column "test_date" is of type timestamp without
time zone but expression is of type character varying LINE 1: update
table_name set test_date = date_string_col
^ HINT: You will need to rewrite or cast the expression.
An example of converting varchar to timestamp:
update table_name set timestamp_col = date_string_col::TIMESTAMP;
An example of converting varchar to int:
update table_name set int_column = string_col::INTEGER;
but any column type(except file or the similar) can be copied to string(character varying) without cast the type.
I have a database full of simple note data, with columns for title, due date, priority, and details. There is also a _id column PRIMARY KEY int.
Say I have a note in the table already with some data filled and the rest null. I also have a set of data that will fill all those fields.
Is there a way that I can only write data to the fields that are NULL?
I can't overwrite existing data, but I'd like to add data to NULL columns.
I know the rowId of the target row.
If my target row had rowId of 5, I could do something like this:
UPDATE SET duedate='some date', priority='2', details='some text' WHERE _id=5
But that would overwrite all the data in that row, and I don't want to lose any data that might be there. How can I change this statement to avoid writing to non-null fields?
Suppose you start with
CREATE TABLE "t" ("a" , "b" , "c" );
INSERT INTO "t" ("a", "c") VALUES (1, 3);
Then
update t set a = coalesce(a,9), b = coalesce(b,10), c = coalesce(c,11);
Will update only the null values, ie. only column B will be set to 10. A and C will be left alone because they contain values.
Coalesce means pick the first item in the list that is not null.
The UPDATE statement only changes the fields you specify in the SET clause. If there are fields whose value you want left unmodified, then simply don't specify those fields in the SET clause.
Put another way, UPDATE doesn't write to all fields in the table - just the fields you specify for the rows you select with the WHERE clause.
If you simply don't know if the existing data is NULL or not, you can set the values using IFNULL(CurrentValue, NewValueIfNull). E.g.
UPDATE SET due_date=IFNULL(due_date, "some date") ... etc..
This will merge your new values into the row where there NULL values, and leave non-NULL values as they were.
See SQL Lite, IFNULL
How about:
UPDATE SET duedate='some date' WHERE _id=5 and duedate is null;
UPDATE SET priority='2' WHERE _id=5 and priority is null;
UPDATE SET details='some text' WHERE _id=5 and priority is null;
If you use Mysql, you can lookup IF()-then you can create a one liner. I think you can do something with similar in Oracle with case...