This is another example of how Chartio is helping to put the power of data in everybody’s hands, regardless of SQL knowledge. Instead all it takes is a basic understanding of the principles involved. While it may take a few more clicks and steps than in SQL Mode, the resulting line chart done in Interactive Mode requires no knowledge of SQL Syntax. Then after hiding the original ‘Provider’ column and using a REORDER COLUMNS step and a PIVOT DATA step we’ll get the same table arrangement we got in SQL Mode and can present the same table we did in SQL Mode. This will effectively build everything we need in an underlying query to create the CASE STATEMENT we did above, in Chartio’s Data Pipeline.Īdding a CASE STATEMENT pipeline step allows us to set the conditions for the WHEN and the ELSE just like we did before, without having to type in the entire SQL syntax. Then drag ‘Created Date’ and ‘Provider’ to the dimensions box and re-label them ‘Date’ and ‘Email Provider.’ After that, using the ‘Created Date’ column you can set the date span (or build your WHERE clause) to be everything after. First, let’s build the query.ĭrag the ‘Clicks Column’ to the measures box and aggregate it by TOTAL SUM of the Column Clicks, then re-label it ‘CLICKS.’ After building our underlying query to pull in all the columns we’re going to need SUM OF CLICKS, DATE and EMAIL ADDRESS we can use the Data Pipeline to manipulate this data post-SQL. The CASE statement goes through various conditions and returns values as and when the first condition is met (like an IF-THEN-ELSE statement in. It is a kind of control statement which forms the cell of programming languages as they control the execution of other sets of statements. In using Chartio, we can do all of the above without writing any SQL but leveraging the Data Explorer and the Data Pipeline features. CASE statement in MySQL is a way of handling the if/else logic. An alias only exists for the duration of that query. Aliases are often used to make column names more readable. Then after adding a PIVOT DATA step into the Data Pipeline, we’ll get a table properly arranged in the proper format to set up a line chart showing how clicks are compared over time. Aliases are used to give a table, or a column in a table, a temporary name. When you piece all three of those columns for one SELECT STATEMENT and throw in the rest of the necessary pieces to build a SQL query, it all take shape below. The resulting table of this CASE STATEMENT with corresponding emails alone. "Provider" = 'Gmail' THEN 'Gmail'Īnd, the else statement would be ‘Other’ for every other email address provider. Note: in version 3.0.1.8, calling PMFDerivateCase() works, but it generates a warning message, just ignore the warning messages.WHEN "Test E Mails". I'll try to test the other options when I have more time (cancel case, pause case, unpause case and reopen case) and make them work as well. How do I use properly CASE.WHEN in MySQL. I haven't tested any of the other functions besides routing, so I commented them out in the trigger code. To use this process, assign your admin to the first task in the process and run a case in the "Manage Cases" process. A trigger after the DynaForm calls PMFDerivateCase() for each of the cases. This value is compared to the whenvalue expression in each WHEN clause until one of them is equal. For the first syntax, casevalue is an expression. Then mark the cases which should be routed to the next task. The CASE statement cannot have an ELSE NULL clause, and it is terminated with END CASE instead of END. I have designed a "Manage Cases" process which queries the APPLICATION table in MySQL for the cases you want and displays them in a grid with a checkbox. To do this only in MySQL is definitely not recommended, because you would have to modify the existing entries in APPLICATION, APP_CACHE_VIEW, and APP_DELEGATION, plus add a new entry in APP_DELEGATION. Given that I have a set of cases IDs, how can I force advance them only using SQL? The operation takes too much time and, past PHP execution timeout, the batch hangs out, may corrupt some cases and another batch is needed. How do query I for cases both based on database columns and case variables? I cannot proceed to route the cases as an admin because LDAP How should we determine the unnecessary cases? Easy! They originate from a particular process, they have been assigned from a certain person, and have a case variable set to a determined value.Įasy to do in theory, but while on practice, this causes me many problems: He needs to advance, or simply get rid of the rest. Probably the right solution in our case is to use plain SQL to manipulate the cases and probably a bit of PHP if cases forms need manipulation.Ī user complains he can't manage his inbox because it is flooded with 480 case while he only works on less than 100. But the more I want to electing about choosing the cases, the more things get hacky, especially because we use LDAP. I have been trying to mass advance cases (+300) to the next task in the process.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |