I have a query where I join three separate tables (node, control, service).
Below is their column headings and sample data.
NODE TABLE (contains over 7000 rows)
nodeID | host | serviceID | controlID
1 | server1 | 1,2,3,4,9,50,200 | 1
2 | server2 | 2,3,4,9,200 | 2
3 | server3 | 1,2,3,4,9,50,200 | 2
4 | server4 | 1,2,50,200 | 3
5 | server5 | 1,4 | 3
CONTROL TABLE (contains roughly 50 rows)
controlID | name
1 | Control Name One
2 | Control Name Two
3 | Control Name Three
4 | Control Name Four
5 | Control Name Five
SERVICE TABLE (contains roughly 3000 rows)
serviceID | name
1 | Service Name One
2 | Service Name Two
3 | Service Name Three
4 | Service Name Four
5 | Service Name Five
6 | Service Name Six
50 | Service Name 50
200 | Service Name 200
As you can see, the database tables have a bit of normalization with the exception of the node.serviceID column. I whole heartily agree that node.serviceID should be normalized and a pivot table of one-to-many created. No argument there. However, I do not control the scripts that insert the information into the database. I can only read from the tables and format the data how I can.
So, below is the SQL query I wrote that does work but the, as expected, node.serviceID does not join well with service.serviceID. Please note that I am not using a SELECT * in my final query, I select about 20 fields from the node table and do not want to make the query more confusing. Below is just an example.
SELECT *
FROM node AS a
LEFT JOIN control AS b ON a.controlID = b.controlid
LEFT JOIN service AS c ON a.serviceID = c.serviceId
ORDER BY a.host
The query above spits out something similar:
Host Control Services
server1 Control Name One 1,2,3,4,9,50
server2 Control Name Three 1,2,9,50
server3 Control Name Two 4
server4 Control Name Four 1,2,3,4,9
server5 Control Name Two 1,2,3,50
server6 Control Name Five 1,3,4,9,50
What I am looking for is this:
Host Control Services
server1 Control Name One Service Name One,
Service Name Two,
Service Name Three,
Service Name Four,
Service Name Nine,
Service Name Fifty
server2 Control Name Three Service Name One,
Service Name Two,
Service Name Nine,
Service Name Fifty
server3 Control Name Two Service Name Four
server4 Control Name Four Service Name One,
Service Name Two,
Service Name Three,
Service Name Four,
Service Name Nine
I have scoured stackoverflow.com for someone with an issue like this but I can only find either joining multiple tables on ID and name OR someone expanding a list of IDs but not both together.
This one came close: Using id that are comma separated sql but not quite.
I have tried various methods of CFML with ListToArray() and tried looping over them with an index but nothing would work for me.
The server I snag the data from is MySQL 5.1 and I am using a combination of jQuery and ColdFusion (Railo 4.2) to format the data.
This is my first time posting on stackoverflow, so my apologies if there really is an answer to this, I did not search long enough, and would make this question a duplicate.
----------------- UPDATE --------------------
I tried the query and CFML suggested by Leigh.
So, I get the following:
server1 Service Name One , Service Name One , Service Name One , Service Name One , Service Name One , Service Name One , Service Name One , Service Name Two , Service Name Two , Service Name Two , Service Name Two , Service Name Two , Service Name Two , Service Name Three , Service Name Four , Service Name Four , Service Name Four , Service Name Four , Service Name Four , Service Name Four , Service Name Four
I am not sure, at this point, if that is just a little bit of change with the CFML or something in the SQL query. But, it does look promising.
If you really cannot modify the table structure, probably the best you can do is one of the old list hacks:
Use a JOIN
with FIND_IN_SET(value, commaSeparatedString)
SELECT n.Host, c.Name AS ControlName, s.Name AS ServiceName
FROM node n
LEFT JOIN control c ON c.controlID = n.controlID
LEFT JOIN service s ON FIND_IN_SET(s.serviceID, n.serviceId)
ORDER BY n.host, s.Name
;
Use LIKE
to detect the presence of a specific serviceID value within the node list
SELECT n.Host, c.Name AS ControlName, s.Name AS ServiceName
FROM node n
LEFT JOIN control c ON c.controlID = n.controlID
LEFT JOIN service s ON
CONCAT(',', n.serviceID,',') LIKE
CONCAT('%,', s.serviceID,',%')
ORDER BY n.host, s.Name
;
SQLFiddle
However, as you already noted that column really should be normalized. While the methods above should work for small data sets, they suffer from the usual problems of working with "lists". Neither method is very index friendly, and as a result, will not scale well. Also, both perform string comparisons. So the slightest difference may cause the matching to fail. For example, 1,4
would match two serviceID's, whereas 1,(space)4
or 1,4.0
would match only one.
Update based on comments:
On second read, I am not sure the above answers the precise question you are asking, but it should provide a good basis to work with ...
If you no longer want a CSV list, just use one of the queries above and output the individual query columns as usual. The result will be one service name per row, ie:
server1 | Control Name One | Service Name 200
server1 | Control Name One | Service Name 50
..
Otherwise, if you need to preserve the comma separated values, one possibility is to use a <cfoutput group="..">
on the query results. Since the results are ordered by "Host" first, something like the code below. NB: For "group" to work properly, the results must be ordered by Host
and you must use multiple cfoutput
tags as shown below.
<cfoutput query="..." group="Host">
#Host# |
#ControlName# |
<cfoutput>
#ServiceName#,
</cfoutput>
<br>
</cfoutput>
The result should look like this:
server1 | Control Name One | Service Name 200, Service Name 50, Service Name Four, Service Name One, Service Name Three, Service Name Two,
server2 | Control Name Two | Service Name 200, Service Name Four, Service Name Three, Service Name Two,
server3 | Control Name Two | Service Name 200, Service Name 50, Service Name Four, Service Name One, Service Name Three, Service Name Two,
server4 | Control Name Three | Service Name 200, Service Name 50, Service Name One, Service Name Two,
server5 | Control Name Three | Service Name Four, Service Name One,
Update 2:
I forgot there is a simpler alternative to cfoutput group
in MySQL: GROUP_CONCAT
<cfquery name="qry" datasource="MySQL5">
SELECT n.Host, c.Name AS ControlName, GROUP_CONCAT(s.Name) AS ServiceNameList
FROM node n
LEFT JOIN control c ON c.controlID = n.controlID
LEFT JOIN service s ON FIND_IN_SET(s.serviceID, n.serviceId)
GROUP BY n.Host, c.Name
ORDER BY n.host
</cfquery>
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