cachet | Go client library for Cachet
kandi X-RAY | cachet Summary
kandi X-RAY | cachet Summary
Go(lang) client library for Cachet (open source status page system).
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Top functions reviewed by kandi - BETA
- NewClient returns a new instance of Client .
- addOptions adds options to s .
- Call performs an HTTP request .
- CheckResponse returns nil if the HTTP response is valid .
cachet Key Features
cachet Examples and Code Snippets
Community Discussions
Trending Discussions on cachet
QUESTION
I just wrote my first JSON schemas, great! However, I am now looking at how to structure multiple JSON schemas, both during development and later how to host them. There seems to be very limited guidance on this.
Of course, I looked up the official json-schema.org documentation on how to structure a complex scheme, and even got something to work. I now have three schemas, organized during development in a folder structure as follows:
...ANSWER
Answered 2022-Jan-21 at 23:48Like code organization, there is no one right answer. If you are going to reuse a particular schema in a number of different environments, putting it in a separate file can make sense. But if you're only going to use it in one place, it may be more convenient to put it under a $defs
in the same file. You could even give that schema a nicer name to reference it, via $anchor
.
QUESTION
I need to implement a function that simply purges the database of all data except for a few tables. Given how the code is written so far, it would be easier to do that than to implement an outside function that actually deletes the entire database file and creates a new one.
I want to do this on one prepared statement, so that I can avoid code bloat by having multiple statements and executing them in sequence. I would also like to do it in a single transaction using begin
and commit
just in case. What I tried is this:
ANSWER
Answered 2022-Jan-13 at 11:29I want to do this on one prepared statement, so that I can avoid code bloat by having multiple statements and executing them in sequence.
Each has to be a single statement (unless ....).
However if you wanted to do via a single statement then although a bit convoluted you could use a TRIGGER which will can multiple statements (limitations apply) within a single transaction.
I would also like to do it in a single transaction using begin and commit just in case.
If you use a single statement then it is always a single transaction and there is no need for BEGIN .... COMMIT.
If you take the TRIGGER route then here's an example/demo.
- The TRIGGER would need to be triggered and thus you could utilise a table specifically for this (utilising other tables could lead to inadvertent triggering).
- The example/demo below uses such a table namely triggerTable.
- It will typically be empty (cleared along with the other tables by the Trigger).
- As the TRIGGER is an AFTER INSERT trigger (as per the demo), inserting a row into the triggerTable initiates the clearing of the other tables and also the triggerTable.
- There should be minimal overheads, very little time for the actual insert and subsequent delete of the inserted row and probably just the 1 (4k extra storage) page for the table.
Perhaps consider the following example/demo :-
QUESTION
I need to understand if there is any difference between the below two approaches of caching while using spark sql and is there any performance benefit of one over the another (considering building the dataframes are costly and I want to reuse it many times/hit many actions) ?
1> Cache the original data frame before registering it as temporary table
df.cache()
df.createOrReplaceTempView("dummy_table")
2> Register the dataframe as temporary table and cache the table
df.createOrReplaceTempView("dummy_table")
sqlContext.cacheTable("dummy_table")
Thanks in advance.
...ANSWER
Answered 2020-Oct-14 at 15:01df.cache()
is a lazy cache, which means that the cache would only occur when the next action is triggered.
sqlContext.cacheTable("dummy_table")
is an eager cache, which mean the table will get cached as the command is called. An equivalent of this would be: spark.sql("CACHE TABLE dummy_table")
To answer your question if there is a performance benefit of one over another, it will be hard to tell without understand your entire workflow and how (and where) your cached dataframes are used. I'd recommend using the eager cache, so you won't have to second guess when (and whether) your dataframe is cached.
QUESTION
In our software we have something like a cache inside a table of a database hosted on a Microsoft SQL-Server (2008 R2 to 2019). Now I have to debug some lines of code which only run, when this cache is empty. Otherwise the data comes from the cache and the code I need to debug doesn't run.
Since I'm sick of always manually deleting the content of this cache table before I can debug again, I'm looking for a way to make this cache table read-only for a while.
I can't change the code which is actually writing data to this cache table, so I'm looking for a way to achieve my goal with only using the SQL Management Studio, preferably running a TSQL script to switch on the read-only-ability and another script to switch it off again.
Googling for that I found several ways to accomplish that, but unfortunately all the ways I googled raise an error, which prevents our software to run along.
My preferred solution would be a trigger on my cache table, something like this:
...ANSWER
Answered 2020-Sep-22 at 11:14Nevermind, I think I found a solution. Removing the ROLLBACK TRANSACTION
and putting a non-sense line of code between BEGIN
and END
did the trick.
QUESTION
There are a lot of similar questions here, but none answers the problem.
When using image_picker, barcode_scanner or other plugins which open their own activities everything works well until I use either the "cancel" button or the "back"-Button. My app crashes as soon as I hit the cancel-button with the following error log: (I used image_cropper to show this error, but image_picker and barcode_scanner create similar errors)
...ANSWER
Answered 2020-Jun-30 at 10:54I've found the error myself, it was actually in another repository I used: The health Plugin can't handle these "null"-results: https://pub.dev/packages/health. I didn't think another plugin can cause such results.
Relevant issue in the health package: https://github.com/cph-cachet/flutter-plugins/issues/88
Since other Activities cause onAcitivityResult to run, the health plugin causes the crash
QUESTION
My map is functioning properly until I search for a nearest store location via zip code and try to click on a result's title in the generated panel to show the infoWindow of that corresponding title.
In other words, I want to be able to click the search result titles and when you do, it opens the infoWindow on the map marker associated with the title.
Click the map marker to show the infoWindow works fine. Click the search result in the list of results generated after searching, does not.
I'm using geoJSON to load the locations.
...ANSWER
Answered 2020-Feb-22 at 17:15You have all the data needed to open the InfoWindow on click of the sidebar.
Do the same thing done when the marker is clicked:
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