Here is the JSON signature for my Advisory Condition: The image is a bit small, I know, so let’s look at the JSON representation from the SentryOne database table “DynamicConditionDefinition” for something easier to read. This essentially answers the question, “Am I waiting on CPU more than resources?” So, I made a little Advisory Condition that tests for this across wait types. It also makes perfect sense to compare resource waits against CPU (signal) waits. I want to compare counters that are fairly volatile as well, so my data isn’t overly boring.ĬPU is volatile, and SQL Server waits are volatile. What I want here is a condition that actually makes sense to use, but also doesn’t really include a ton of logic that I need the Advisory Conditions evaluation engine to do for me. That means we’ll start by defining the Advisory Condition. I don’t want to go too crazy with this just yet, so to keep it simple, I’ll be using a super small Advisory Condition to guarantee it has the shape I’m looking for. The JSON part comes early, where the definition of the Advisory Condition is a JSON string in the SentryOne database. To bottom line it, I’m going to take a SentryOne Advisory Condition that uses performance counters, sniff out the left and right sides of an expression, then output some history for counters on both sides of the expression. SentryOne also uses it a lot more than one might imagine, and I figured the best way to dig into this and make it stick would be to do something potentially useful with it for SentryOne users leveraging SentryOne data. I’m still doing web development backed by services when duties allow it, and anyone living in that world will know how ubiquitous JSON is. ![]() NVARCHAR works with X feature i.e.I wanted to dig into the JSON functions in SQL Server, which were added in SQL Server 2016. ![]() ![]() The main reason for keeping the JSON document in NVARCHAR format is for Cross feature compatibility. If the JSON data is not huge, we can go for NVARCHAR(4000), or else we can go for NVARCHAR(max) for performance reasons. By using nvarchar(max) data type, we can store JSON documents with a max capacity of 2 GB in size. Raw JSON documents have to be parsed, and they may contain Non-English text. JSON documents can be stored as-is in NVARCHAR columns either in LOB storage format or Relational storage format.
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