I am new to SQL Server. I have been assigned to do some simple queries to start off, then eventually move on to more complex queries.
I have spent a lot of time on this website: http://www.w3schools.com and I understand it, I think, but then when I go back to my company's database, I find myself searching from many, many, different tables with different information.
For example, a table would say [Acct_Name] and the query comes back with not the correct account name (s) that I need. Any advice that you think might help me? Thank you.
It sounds like you are looking to limit your results to specific accounts. There are many ways to go about this, so no one will be able to give you a all encompassing answer but if you are looking to just pull a single account
SELECT * FROM (your table name) WHERE Acct_Name = 'the account name'
The * means you are selecting all columns in the table and your WHERE clause is where you set your search conditionals, like account name or by account ID. If you had a account creation date, you could get all accounts created on or before a date like this
SELECT * FROM (your table name) WHERE Created < '2016-06-01 00:00:00'
Replace the column name 'Created' with the column that holds the date field of account creation
Learning the WHERE clause and what you can do there to limit your results will get you on a solid footing to start, from there you will want to learn JOINs and how to link tables by primary keys.
Code academy has some great tutorials https://www.codecademy.com/learn/learn-sql
Related
I'm using Tableau to show some schools data.
My data structure gives a table that has all de school classes in the country. The thing is I need to count, for example, how many schools has Primary and Preschool (both).
A simplified version of my table should look like this:
In that table, if I want to know the number needed in the example, the result should be 1, because in only one school exists both Primary and Preschool.
I want to have a multiple filter in Tableau that gives me that information.
I was thinking in the SQL query that should be made and it needs a GROUP BY statement. An example of the consult is here in a fiddle: Database example query
In the SQL query I group by id all the schools that meet either one of the conditions inside de IN(...) and then count how many of them meet both (c=2).
Is there a way to do something like this in Tableau? Either using groups or sets, using advanced filters or programming a RAW SQL calculated fiel?
Thanks!
Dubafek
PS: I add a link to my question in Tableu's forum because you can download my testing workbook there: Tableu's forum question
I've solved the issue using LODs (specifically INCLUDE and EXCLUDE statements).
I created two calculated fields having the aggregation I needed:
Then I made a calculated field that leaves only the School IDs that matches the number of types they have (according with the filtering) with the number of types selected in the multiple filter (both of the fields shown above):
Finally, I used COUNTD([Condition]) to display the amounts of schools matching with at least the School types selected.
Hope this helps someone with similar issue.
PS: If someone wants the Workbook with the solution I've uploaded it in an answer in the Tableau Forum
I am a new employee at the company. The person before me had built some tables in BigQuery. I want to investigate the create table query for that particular table.
Things I would want to check using the query is:
What joins were used?
What are the other tables used to make the table in question?
I have not worked with BigQuery before but I did my due diligence by reading tutorials and the documentation. I could not find anything related there.
Brief outline of your actions below:
Step 1 - gather all query jobs of that user using Jobs.list API - you must have Is Owner permission for respective projects to get someone else's jobs
Step 2 - extract only those jobs run by the user you mentioned and referencing your table of interest - using destination table attribute
Step 3 - for those extracted jobs - just simply check respective queries which allow you to learn how that table was populated
Hth!
I have been looking for an answer since a long time.
Finally found it :
Go to the three bars tab on the left hand side top
From there go to the Analytics tab.
Select BigQuery under which you will find Scheduled queries option,click on that.
In the filter tab you can enter the keywords and get the required query of the table.
For me, I was able to go through my query history and find the query I used.
Step 1.
Go to the Bigquery UI, on the bottom there are personal history and project history tabs. If you can use the same account used to execute the query I recommend personal history.
Step 2.
Click on the tab and there will be a list of queries ordered from most recently run. Check the time the table was created and find a query that ran before the table creation time.
Since the query will run first and create the table there will be slight differences. For me it stayed between a few seconds.
Step 3.
After you find the query used to create the table, simply copy it. And you're done.
Been rattling my brain for a while and I could not get pass how to do the SQL query that will show the relationship/connections between my two tables.
I'm working on an IT equipment inventory program. I have two tables;
SELECT serial_number, model, ship_dat, status FROM items_list
SELECT item_serial, connected-to_serial FROM connections
All items like desktops, laptops, monitors, etc are on the items_list table. To track down the relationship/connections of the items, I created the connections table. IE, Monitor with serial_number=Screen#1 is connected to a Desktop with serial_number=Serial#1. It works ok with my Window Form application because I
used a datagridview control to list all devices simple SQL query.
However, when trying to show the relationship/connection on SQL Reports I've ran out of ideas how to do it. I'm aiming to get the report look like below or something along the lines. I just need to show the connections between the items.
Thank you
You should be able to do this with a table in SSRS if that is what you are using. The query you would need to drive the table of all related items would be:
SELECT item_serial, connected-to_serial, mainItem.*, connectedItem.*
FROM connections
INNER JOIN items_list mainItem ON connections.item_serial = items_list.serial_number
INNER JOIN items_list connectedItem ON connections.connected-to_serial = connectedItem.serial_number
You can of course tailor the SELECT statement to your needs, mainItem.* and connectedItem.* will not give you the most descriptive column names. Using column aliases (found under column_alias here) you can give a more descriptive name to each column.
From here you should be able to use a table and create a row group on the main item (either name or serial number) to get the type of look you are looking to achieve here. I believe the Report Wizard actually has most of the functionality you are looking for and should handle the bulk of this. You may have to move some of the cells around to get the look you are going for though.
I have an Archive Table. The columns are PK, Users and Logdatetime. When Users log in the system i am writing to archive table the user and datetime. A user can login more than one in one day.
The data in Logdatetime is like '2010-03-16 00:00:00.000'
I need to query all users FIRST Login time in one day and get the user with the datetime like:
user1 '2010-03-16 03:21:00.000'
user2 '2010-03-16 04:11:00.000'
It does not matter the users order.
I tried too many way but couldnt find a way. The only solution i found is the query for all users one by one. But it will take time. Any idea how to do this with a one query or more efficent way?
PS: I am using MS SQL Server 2005
Do you mean that you want the users very first login or the just first of a specific day?
This example query might lead you in the right direction;
SELECT [User], MIN(LogDateTime) AS FirstLogin FROM [Archive Table] GROUP BY [User]
All,
I have a package that I'm building as a data importer so I can copy sets of data from my production environment and develop on another instance.
I have two tables that contain header and detail rows for service tickets. Those service tickets are tied back to orders.
I am pulling the service tickets from a certain time window, however, the originating orders fall outside of the date range that I'm pulling for the tickets.
I want to be able to take the following steps in an SSIS package:
Import the header and detail rows within the given date range from prod to dev
Select the relevant order numbers from dev tables
Use the list of order numbers to import only the relevant orders from prod
I poked through other answers and couldn't find answers that addressed this directly, so I apologize if there is an answer out there and I missed it. I may not have been asking the question correctly. I'm assuming that I would need to pull those order numbers into a temp table or variable in order to apply them as a filter.
As I write this, it just crossed my mind to use a join on the source system with the ticket to order tables and still use the date range to limit, but I'm still posting the question to see if anyone has dealt with this before.
Your steps are already fairly clear, are you asking how to actually implement them? It looks like you can do all three steps by using SELECT statements in your data sources:
Build a SELECT statement dynamically with the correct dates to use in your data source. The dates could be programmatically generated in a script task, or saved in a database table and populated into variables. Then you copy the data across to the dev system.
Run a SELECT statement in the dev system that returns the order numbers, and copy the results to a table in the prod database.
Run a SELECT statement in the prod database that joins on the table from step 2 and copy the results back to dev.
An alternative to the table in steps 2 and 3 would be a lookup transformation, but if you have a large number of rows then using a table will probably be faster.