I've searched for a bit but wasn't able to find a specific question on this. How do I obtain all the column names in a table whose names contain a specific string? Specifically, if the column name satisfies like %bal% then I would like to write a query that would return that column name and others that meet that criteria in Sybase.
Edit: The Sybase RDBMS is Sybase IQ.
Updated based on OPs additional comments re: question is for a Sybase IQ database.
I don't have a Sybase IQ database in front of me at the moment but we should be able to piece together a workable query based on IQ's system tables/views:
IQ system views
IQ system tables
The easier query will use the system view SYSCOLUMNS:
select cname
from SYS.SYSCOLUMNS
where tname = '<table_name>'
and cname like '%<pattern_to_match>%'
Or going against the system tables SYSTABLE and SYSCOLUMN:
select c.column_name
from SYS.SYSTABLE t
join SYS.SYSCOLUMN c
on t.table_id = c.table_id
where t.table_name = '<table_name>'
and c.column_name like '%<pattern_to_match>%'
NOTE: The Sybase ASE query (below) will probably also work since the referenced (ASE) system tables (sysobjects, syscolumns) also exist in SQL Anywhere/IQ products as a (partial) attempt to provide (ASE) T-SQL compatibility.
Assuming this is Sybase ASE then a quick join between sysobjects and syscolumns should suffice:
select c.name
from dbo.sysobjects o
join dbo.syscolumns c
on o.id = c.id
and o.type in ('U','S') -- 'U'ser or 'S'ystem table
where o.name = '<table_name>'
and c.name like '%<portion_of_column_name>%'
For example, let's say we want to find all columns in the sysobjects table where the column name contains the string 'trig':
select c.name
from dbo.sysobjects o
join dbo.syscolumns c
on o.id = c.id
and o.type in ('U','S')
where o.name = 'sysobjects'
and c.name like '%trig%'
order by 1
go
----------
deltrig
instrig
seltrig
updtrig
Related
I'm attempting to use a stored procedure to search on a join of several tables and having some trouble handling parameters in the 'WHERE' clause that may or may not be null. Here is a simplified version of the join.
SELECT
c.id,
c.name,
c.title,
d.city,
d.state
e.license
FROM customer AS c
LEFT JOIN address AS d on c.id = d.c_id
LEFT JOIN license AS e on c.id = e.c_id
Not all customers will have addresses. Not all customers will have licenses. I would like to pass parameters for each field that will be disregarded if null and observed if not.
I've been advised that using a WHERE(param1 IS NULL or param1 = c.id) is going to perform poorly for large data sets and to use dynamic sql instead. Is this the best way to approach the problem, and if so, could anyone advise on the syntax for dynamic SQL with multiple potentially null parameters specific to MariaDB?
According to Hive's documentation it supports NOT IN subqueries in a WHERE clause, provided that the subquery is an uncorrelated subquery (does not reference columns from the main query).
However, when I attempt to run the trivial query below, I get an error FAILED: SemanticException Cartesian products are disabled for safety reasons.
-- sample data
CREATE TEMPORARY TABLE foods (name STRING);
CREATE TEMPORARY TABLE vegetables (name STRING);
INSERT INTO foods VALUES ('steak'), ('eggs'), ('celery'), ('onion'), ('carrot');
INSERT INTO vegetables VALUES ('celery'), ('onion'), ('carrot');
-- the problematic query
SELECT *
FROM foods
WHERE foods.name NOT IN (SELECT vegetables.name FROM vegetables)
Note that if I use an IN clause instead of a NOT IN clause, it actually works fine, which is perplexing because the query evaluation structure should be the same in either case.
Is there a workaround for this, or another way to filter values from a query based on their presence in another table?
This is Hive 2.3.4 btw, running on an Amazon EMR cluster.
Not sure why you would get that error. One work around is to use not exists.
SELECT f.*
FROM foods f
WHERE NOT EXISTS (SELECT 1
FROM vegetables v
WHERE v.name = f.name)
or a left join
SELECT f.*
FROM foods f
LEFT JOIN vegetables v ON v.name = f.name
WHERE v.name is NULL
You got cartesian join because this is what Hive does in this case. vegetables table is very small (just one row) and it is being broadcasted to perform the cross (most probably map-join, check the plan) join. Hive does cross (map) join first and then applies filter. Explicit left join syntax with filter as #VamsiPrabhala said will force to perform left join, but in this case it works the same, because the table is very small and CROSS JOIN does not multiply rows.
Execute EXPLAIN on your query and you will see what is exactly happening.
I would like to join tables . Could you please help?
Select Number, OwnerId from DNIS.numbers
select ID,Name from DNIS.owners
Thank you.
Normally, SQL servers allow you to join tables from different databases as long as the former all belong to them. Here is an example showing you how to do this (all you have to do is to explicitly write the database names associated to each table in the query):
SELECT N.Number, N.OwnerId, O.ID, O.Name
FROM DB1.[dbo].DNIS numbers N
JOIN DB2.[dbo].DNIS owners O ON O.ID = N.OwnerId
You can also use the following syntax:
SELECT N.Number, N.OwnerId, O.ID, O.Name
FROM DB1..DNIS numbers N
JOIN DB2..DNIS owners O ON O.ID = N.OwnerId
In order to accomplish that you will have to specify the table and column names in your join statement, like so:
SELECT db1.tablename.column, db2.tablename.column
FROM db1.tablename INNER JOIN db2.tablename
ON db1.tablename.id = db2.tablename.id;
I am having to convert code written by a former employee to work in a new database. In doing so I came across some joins I have never seen and do not fully understand how they work or if there is a need for them to be done in this fashion.
The joins look like this:
From Table A
Join(Table B
Join Table C
on B.Field1 = C.Field1)
On A.Field1 = B.Field1
Does this code function differently from something like this:
From Table A
Join Table B
On A.Field1 = B.Field1
Join Table C
On B.Field1 = C.Field1
If there is a difference please explain the purpose of the first set of code.
All of this is done in SQL Server 2012. Thanks in advance for any help you can provide.
I could create a temp table and then join that. But why use up the cycles\RAM on additional storage and indexes if I can just do it on the fly?
I ran across this scenario today in SSRS - a user wanted to see all the Individuals granted access through an AD group. The user was using a cursor and some temp tables to get the users out of AD and then joining the user to each SSRS object (Folders, reports, linked reports) associated with the AD group. I simplified the whole thing with Cross Apply and a sub query.
GroupMembers table
GroupName
UserID
UserName
AccountType
AccountTypeDesc
SSRSOjbects_Permissions table
Path
PathType
RoleName
RoleDesc
Name (AD group name)
The query needs to return each individual in an AD group associated with each report. Basically a Cartesian product of users to reports within a subset of data. The easiest way to do this looks like this:
select
G.GroupName, G.UserID, G.Name, G.AccountType, G.AccountTypeDesc,
[Path], PathType, RoleName, RoleDesc
from
GroupMembers G
cross apply
(select
[Path], PathType, RoleName, RoleDesc
from
SSRSOjbects_Permissions
where
Name = G.GroupName) S;
You could achieve this with a temp table and some outer joins, but why waste system resources?
I saw this kind of joins - it's MS Access style for handling multi-table joins. In MS Access you need to nest each subsequent join statement into its level brackets. So, for example this T-SQL join:
SELECT a.columna, b.columnb, c.columnc
FROM tablea AS a
LEFT JOIN tableb AS b ON a.id = b.id
LEFT JOIN tablec AS c ON a.id = c.id
you should convert to this:
SELECT a.columna, b.columnb, c.columnc
FROM ((tablea AS a) LEFT JOIN tableb AS b ON a.id = b.id) LEFT JOIN tablec AS c ON a.id = c.id
So, yes, I believe you are right in your assumption
I have 3 table customer (customerid,name), customerbooking(bookingid,customerid), transact(transacted,bookingid,typeoftransaction)
I want to fetch the name of the ‘customer name’ who has the maximum typeoftransact=’current’. Customer table is linked to customerbooking via customerid, and customerbooking is linked to transact via bookingid. Using join I am able to get the individual records, but unable to get the Max value
Please try this to meet your scenerio
SELECT
C.Name
, Count(BookingID)
FROM Customer C
INNER JOIN customerbooking CB ON CB.CustomerID = C.customerId
INNER JOIN transact T ON T.bookingid = CB.BookingId
WHERE T.Typeoftransaction='current'
GROUP BY C.Name
Hope this helps