In SQL Server DB I have two tables.
Customer | (CustomerAddressID1,CustomerAddressID2)
They link to Address table
Address | (AddressID,Postcode)
What is the best way to check the following condition in query?
If CustomerAddressID1 IS NOT NULL then get Postcode based on CustomerAddressID1 otherwise get Postcode based on CustomerAddressID2.
I was thinking along the lines of
Related
I hope I explain this adequately.
I have a series of Google Sheets with data from an Airtable database. Several of the fields are stringified arrays with recordIds to another table.
These fields can have between 0 and n - comma separated values.
I run a create/overwrite table SELECT statement to create native BigQuery tables for reporting. This works great.
Now I need to add the recordIds to a Repeated field.
I've manually written to a repeated field using:
INSERT INTO `robotic-vista-339622.Insurly_dataset.zzPOLICYTEST` (policyID, locations, carrier)
VALUES ('12334556',[STRUCT('recordId1'),STRUCT('recordId2')], 'name of policy');
However, I need to know how I to do this using SELECT statement rather than INSERT. I also need to know how to do this if you do not know the number of recordIds that have been retrieved from Airtable. One record could have none and another record could have 10 or more.
Any given sheet will look like the following, where "locations" contains the recordIds I want to add to a repeated field.
SHEETNAME: POLICIES
|policyId |carrier | locations |
|-----------|-----------|---------------------------------|
|recrTkk |Workman's | |
|rec45Yui |Workman's |recL45x32,recQz70,recPrjE3x |
|recQb17y |ABC Co. |rec5yUlt,recIrW34 |
In the above, the first row/record has no location Id's. And then three and two on the subsequent rows/records.
Any help is appreciated.
Thanks.
I'm unsure if answering my own question is the correct way to show that it was solved... but here is what it took.
I create a Native table in BigQuery. the field for locations is a string, mode repeated.
Then I just run an overwrite table SELECT statement.
SELECT recordId,Name, Amount, SPLIT(locations) as locations FROM `projectid.datasetid.googlesheetsdatatable`;
Tested and I run linked queries on the locations with unnest.
Is it possible in any way (without scripting) to aggregate columns which are stored in a table cell.
Basically what i am trying to achieve here is that if i have the following table
Table 1
KEYNAME | COLUMN_NAME
COUNT_USER | USER_ID
SUM_HOURS | HOURS_WATCHED
Can i do something like
select SUM((select column_name from TABLE1 where KEYNAME = "SUM_HOURS")) FROM MAIN_TABLE
I have the option to script in python via which i know how to achieve this. But i am curious to know if this is possible in any version of SQL or not
Please let me know if the information is insufficient.
No, you cannot use a column name that comes from the result of another query.
You would need to do this in your own code, sending the result to Amazon Redshift as a complete query. (That is, run one query to obtain the column names, then run a second query with those column names inserted.)
I need to fetch specific hardware data from source tables. The hardware information is present in a table Server_Data with columns as follows,
Server_ID, Server Property, Property_Value
65 Model Cisco 123
65 Name Cisco abc
I need to link this table with System table that has columns as follows,
System_ID, System_IP
1 10.20.30.40
I searched all tables in database but Server_ID column is present only in Server _Data table. Also, I searched all tables if there exists a table that links System_ID with Server_ID, but there is no such table.
I need to find if the Server_ID column is present in any other table with some other name (say Server_Key or just Key). Any help would be appreciated.
Only using SQL, there will not be a way to find an identical column in another table, especially if it has a different name. I think you would need to manually compare every column in every other table to that column to find a match.
If I were you I would start by running the following SP:
EXEC sp_fkeys 'Server_Data'
That will tell you if the Server_ID column is referencing any other table in the DB or not.
I have a SQL Server table that has a unique field which matches a unique field in an Access DB table.
I need to get the Access DB table into the SQL Server table based on that field.
How do I go about doing this?
I want to say a JOIN, but a JOIN is just a temporary query, isn't it? I want this to be permanent. I want the Access DB table data merged into SQL Server table based on this unique field.
What's the best way to do this?
Thanks.
The reason I need this separate is that a software is reading this SQL Server data, so I need it all in the same table.
B,
I believe what you would be looking for is Union
With the two tables being
HumanResources.Employees and HumanResources.Employees2
SELECT ID, Name FROM HumanResources.Employees
UNION
SELECT ID, Name FROM HumanResources.Employees2
Heres the situation. I have 2 tables here of the schema:
ID | COMPANY_NAME | DESC | CONTACT
ID | COMPANY_ID | X_COORDINATE | Y_COORDINATE
The first tabel contains a list of companies and the second contacts coordinates of the companies as mentioned.
The thing is that I want to merge the data in this table with the data in another set of tables which already have data. The other tables have similar structure but are already propopulated with data. The IDs are autoincremental.
SO if we have lets say companies marked 1-1000 in table1 and companies marked 1-500 in table 2. We need it merged such that ID number 1 in table 2 becomes ID 1001 when migrated to the other table. And side by side we would also want to migrated the entries in the coordinates table as well in such a way that they map with the new ids of the table. Can this be done in SQL or do I need to resort to using a script here for this kind of work.
i`m not sure i understand how many tables are there and who is table 1 ,2, but the problem is pretty clear. i think the easy way is:
back up all your database before you start this process
add a column to the destination table that will contain the original id.
insert all the records you want to merge (source) into the destination table, putting the original id in the column you added.
now you can update the geo X,Y data using the old ID
after all is done and good you can remove the original id column.
EDIT: in reply to your comment , i`ll add teh code here, since its more readable.
adapted from SQL Books Online: insert rows from another table
INSERT INTO MyNewTable (TheOriginalID, Desc)
SELECT ID, Desc
FROM OldTable;
Then you can do an update to the new table based on values from the old table like so:
UPDATE MyNewTable SET X = oldTable.X , Y = oldTable.Y where
FROM MYNewTable inner JOIN OldTable ON MYNewTable.TheOriginalID = OldTable.ID