![]() The aggregation function serves to enforce a single Technologies, CASE can be utilized as a pseudo-pivot so long as an aggregationįunction is also present. Thankfully, there is a workaround to handling this mismatch of data structure.Īlthough SQLite does not support the PIVOT function of more recent SQL So how do we get these disorganized rows into a neat and tidy columns? Pivoting data using MAX and CASE Single user and the ability to JOIN against the users table is invaluable. There are a large number of plists that belong to only a In a columnar format, it is terrifically burdensome to JOIN it against another The most significant advantage of pivoting, is that unless our data is stored However, when querying large numbers of devices it can be preferable to produceĪ single row per device by pivoting each key/value pair into its own respective ![]() The output of this plist is more manageable than the earlier registry example. When querying devices for several values that are stored in a single registryĭirectory, they will receive a separate row for every key/value pair. Table for macOS devices and the registry table for Windows devices. Results formatted in the EAV model, the two most important being the plist Several of the data-sources available in osquery return ![]() But sometimes…Īs we mentioned above, you will sometimes run into data that doesn’t adhere to The bulk of osquery’s interactions are within the context of a relational model.Įach table has its own unique columns which can be used to easilyĬompartmentalize data and JOIN it with other data when necessary. ( columns in the relational model) can be added without modifying the underlying The EAV model on the other hand is more dynamic because new attributes Schema and where relational operations such as JOIN‘s will be necessary. Relational model is best suited for scenarios where there will be a rigid Each data model possesses its own advantages and drawbacks.
0 Comments
Leave a Reply. |