I have following two tables in my potgres database with each type.
user
userid | bigint (PK) NOT NULL
username | character varying(255)
businessname | character varying(255)
inbox
messageid | bigint (PK) NOT NULL
username | character varying(255)
businessname | character varying(255)
What i wanna achieve here is i want to add a new field called userRefId
to inbox
table and migrate data on user
table's userid
data into that where each username
and businessname
match in both tables.
These are the queries i use to do that.
ALTER TABLE inbox ADD userRefId bigint;
UPDATE inbox
SET userRefId = u.userid
from "user" u
WHERE u.username = inbox.username
AND u.businessname = inbox.businessname;
Now i want to verify the data has been migrated correctly. what are the approaches i can take to achieve this? (Note : the username
on inbox
can be null)
Would this be good enough to verification?
Result of select count(*) from inbox where username is not null;
being equal to
select count(userRefId) from inbox;
Is the data transferred correctly? First, the update looks correct, so you don't really need to worry.
You can get all rows in consumer_inbox
where the user names don't match
select ci.*. -- or count(*)
from consumer_inbox ci
where not exists (select 1
from user u
where ci.userRefId = u.userId
);
This doesn't mean that the update
didn't work. Just that the values in consumer_inbox
have no matches.
Under the circumstances of your code, this is equivalent to:
select ci.*
from consumer_inbox ci
where userId is null;
Although this would not pick up a userId
set to a non-matching record (cosmic rays, anyone?).
You can also validate the additional fields used for matching:
select ci.*. -- or count(*)
from consumer_inbox ci
where not exists (select 1
from user u
where ci.userRefId = u.userId and
ci.username = u.username and
ci.businessname = u.businessname
);
However, all this checking seems unnecessary, unless you have trigger on the tables or known non-matched records.
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