We have released SQLyog 9.2 GA with enhancements to the Data Search feature (and more).
Since we introduced the Data Search feature in SQLyog 9.1 we had a lot of positive responses – but also a few critical remarks that using the feature could cause unnecessary server load as well as unnecessarily long response times. Such scenario could arise when searching for a string in a BLOB column used for storing media files for instance. Or when searching all tables of a database when there was only need to search a few tables.
We have addressed this concern by adding filter options that let the user restrict the search to specific data types and to a subset of databases of a server, a subset of tables of a database or a subset of columns of a table.
Also we have added “+” and “-” operators for inclusive and exclusive exact match.
I would like to elaborate a little more on Data Search:
Data Search does not replace SQL, of course. It is a supplementing feature. It is in particular useful when your are searching for something you don’t know what exactly is and don’t know exactly where to find. And when you are just too lazy to write a long SQL statement. As we have posted here before you could consider the Data Search feature as a tool to ‘google your database’ (as google ‘advanced search’ operators are used). But a database has a hierachy and has datatypes what a document has not. So this filtering option is a logical database-related enhancement to the google ‘advanced search’ syntax used for documents.
Let us take an example: Suppose you want to find all instances of email addresses with a specific domain name in all your networked systems (on the Internet as well as Intranet). We have 3 such public systems (our Forums, Blog and FAQ) for our MySQL-related products alone that are ‘standard applications’ that we did not code ourselves and thus do not know internals about very well. In all those systems people may comment or contact us. Add to this our non-public systems – like our CRM system and our support ticket system (based on our own web application IssueBurner that aggregates everything sent from and received to our contact email addresses to a database). As all the mentioned systems use a MySQL backend we will now easily be able to answer the question “Who have ever contacted us with a @like.this email address, when did it happen and what was the subject/matter?”. Simply because we can find the data in all systems. And anybody in our organization can do (provided that they have access) without knowing details about how and where the different applications store the information.
When we introduced Data Search in 9.1 I actually expected some comments that “this is a feature for amateurs and I do not intend to use it as I am familiar with SQL”. We did not get such comments till now! I think users already found out that it saves a lot of time.
Also in this release we are following up on the ‘Foreign Key lookup’ introduced in 9.0. This is now also functional from the RESULT tab in SQLyog.
And finally In this realease we added a ‘date picker’ GUI for managing DATE, DATETIME and TIMESTAMP columns as well as an option to clone a connection. Both were popular user requests for some time and have now been implemented.
See all details for this and other recent releases here.