I have this select statement:
select it.item_id
from item as it
where it.owning_collection in (select col.collection_id
from collection as col
where col.name like '%Restricted%'
Which returns around 3k results. Now I would like to make an insert in another table for each one of those results with that item_id as one of the parameters like this:
insert into metadatavalue (metadata_value_id, **item_id**, metadata_field_id, text_value, text_lang, place, confidence)
But since I'm not very experienced with databases, I'm not sure how to make these multiple inserts
All the other information needed in the insert statement are fixed values.
Table structures:
Table Item
*item_id
*submitter_id
*in_archive
*withdrawn
*last_modified
*owning_collection
*dicoverable
Table metadata
*metadata_value_id
*item_id
*metadata_field_id
*text_value
*text_lang
*place
*authority
*confidence
insert into metadatavalue (metadata_value_id, item_id, metadata_field_id, text_value, text_lang, place, confidence)
select 'metadata_value_id',it.item_id,'metadata_field_id','text_value', 'text_lang', 'place', 'confidence'
from item it
where it.owning_collection in (select col.collection_id
from collection as col
where col.name like '%Restricted%')
Replace 'apostrophed' columns with its default values.
Further reading.
INSERT INTO metadatavalue (item_id, metadata_field_id, text_value, text_lang, place, confidence)
SELECT it.item_id, <c1>, <c2>, <c3>, <c4>, <c5>
FROM item AS it
JOIN collection AS col ON col.collection_id = it.owning_collection
WHERE col.name LIKE '%Restricted%'
Where you replace <c1> etc with your constant values. Note also that I have rewritten your SELECT query to a more efficient JOIN.
Related
I am trying to select from one table using the select result from another table. I can run this in two queries but would like to optimize it into just one.
First query.. Select ids where matching other id
select id from lookuptable where paid = '547'
This results in something like this
6316352
6316353
6318409
6318410
6320468
6320469
6320470
6322526
6322527
6324586
6324587
6326648
I would like to then use this result to make another selection. I can do it manually like below. Note, there could be many rows with these values so I've been using a IN statement
select * from "othertable" where id in (6316352,6316353,6318409,6318410,6320468,6320469,6320470,6322526,6322527,6324586,6324587,6326648);
select
ot.*
from
"othertable" as ot
join
lookuptable as lt
on
ot.id = lt.id
where
lt.paid = '547'
The IN operator supports not just value lists but also subqueries, so you can literally write
select * from "othertable" where id in (select id from lookuptable where paid = '547');
I have the following code. I try to stitch the two tables together, but restrict it to only add duplicate Opportunity_ID once, and then from the second table (OpportunitiesUpdates).
SELECT
Opportunity.Account_Name,
Opportunity.Opportunity_Name,
Opportunity.Opportunity_Owner,
Opportunity.Opportunity_ID
FROM
Opportunity
UNION DISTINCT
SELECT
OpportunityUpdates.Account_Name,
OpportunityUpdates.Opportunity_Name,
OpportunityUpdates.Opportunity_Owner,
OpportunityUpdates.Opportunity_ID
FROM
OpportunityUpdates
WHERE OpportunityUpdates.Opportunity_ID <> Opportunity.Opportunity_ID
This code consolidates all records from both tables (by Opportunity_ID) and gives priority to the OpportunityUpdates table based on Opportunity_ID.
It assumes that the same Opportunity_ID could be in either table ("duplicates"), but that within each table an Opportunity_ID is unique. It also assumes that Opportunity_ID is not nullable (never null).
SELECT DISTINCT
IF(ou.Opportunity_ID IS NOT NULL, ou.Account_Name, o.Account_Name) Account_Name,
IF(ou.Opportunity_ID IS NOT NULL, ou.Opportunity_Name, o.Opportunity_Name) Opportunity_Name,
IF(ou.Opportunity_ID IS NOT NULL, ou.Opportunity_Owner, o.Opportunity_Owner) Opportunity_Owner,
COALESCE(ou.Opportunity_ID, o.Opportunity_ID) Opportunity_ID
FROM OpportunityUpdates ou
FULL OUTER JOIN
Opportunity o
ON o.Opportunity_ID = ou.Opportunity_ID
For each row in table exam 'where exam.examRegulation isnull', I want to insert one corresponding row in table examRegulation and copy columnvalues from exam to examregulation. Apparently the following query ist too naive and must be approved:
insert into examRegulation (graduation, course, examnumber, examversion)
values (exam.graduation, exam.course, exam.examnumber, exam.examversion)
where ?? (select graduation, course, examnumber, examversion
from exam
where exam.examRegulation isnull)
Is there a way to do this in postgresql?
You may rephrase this as an INSERT INTO ... SELECT statement:
INSERT INTO examRegulation (graduation, course, examnumber, examversion)
SELECT graduation, course, examnumber, examversion
FROM exam
WHERE examRegulation IS NULL;
The VALUES clause, as the name implies, can only be used with literal values. If you need to populate an insert using query logic, then you need to use a SELECT clause.
I have a table item with attributes no(integer) and price(integer), also another table cart with attributes no(integer) and items(array of item).
I have some records in items.
When i tried :
INSERT INTO myschema.cart VALUES(1,'{SELECT item from myschema.item}')
I'am getting error malformed record literal.
I expected this to insert all items from myschema.item into the cart record.
It's hard to give you exact statement without the table structures and such, but you can select into an array:
INSERT INTO myschema.cart (id, item_ids)
SELECT 1, array(SELECT id from myschema.item)
This will select the id's from the item table into an array.
You can test it out by writing:
select array(SELECT id from myschema.item)
You can't write a subquery inside a string like that.
What you need to do is aggregate the items into a array with array_agg
INSERT INTO myschema.cart
VALUES (1, (SELECT array_agg(item) FROM myschema.item));
Or
INSERT INTO myschema.cart
SELECT 1, array_agg(item) FROM myschema.item;
Is there any other way for returning rows for the same id by joining two tables and return the row if any of the columns value for the same id is different.
Select Table1.No,Table2.No,Table1.Name,Table2.Name,Table1.ID,Table2.ID,Table1.ID_N,Table2.ID_N
From MyFirstTable Table1
JOIN MySecondTable Table2
ON Table1.No=Table2.No where Table1.ID!=Table2.ID or Table1.ID_N != Table2.ID_N
In the example above , I have only two columns I need to check but in my real case there are at least 20 .
Is there any other statment I can use instead of enumerating each column in the where codition?
...WHERE BINARY_CHECKSUM(Table1.*) <> BINARY_CHECKSUM(Table2.*)
or
...WHERE BINARY_CHECKSUM(Table1.Field1, Table1.Field2, ...) <> BINARY_CHECKSUM(Table2..Field1, Table2.Field2, ...)
*this assumes you have no blob fields in your tables
http://technet.microsoft.com/en-us/library/ms173784.aspx
If No is a PK
Select Table1.No,Table1.Name,Table1.ID,Table1.ID_N
From MyFirstTable Table1
except
Select Table1.No,Table1.Name,Table1.ID,Table1.ID_N
From MySecondTable Table1