Cachet | 📛 An open source status page system for everyone | Build Tool library

by CachetHQ PHP Version: v2.3.18 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Cachet Summary

Cachet is a PHP library typically used in Utilities, Build Tool, Composer applications. Cachet has a Permissive License and it has medium support. However Cachet has 172 bugs and it has 3 vulnerabilities. You can download it from GitHub.

Cachet is a beautiful and powerful open source status page system.

Support

Quality

Security

License

Reuse

Support

Cachet has a medium active ecosystem.

It has 13093 star(s) with 1563 fork(s). There are 286 watchers for this library.

It had no major release in the last 12 months.

There are 287 open issues and 2013 have been closed. On average issues are closed in 177 days. There are 80 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Cachet is v2.3.18

Quality

Cachet has 172 bugs (0 blocker, 0 critical, 18 major, 154 minor) and 553 code smells.

Security

Cachet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Cachet code analysis shows 3 unresolved vulnerabilities (3 blocker, 0 critical, 0 major, 0 minor).

There are 16 security hotspots that need review.

License

Cachet is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Cachet releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

Cachet saves you 42289 person hours of effort in developing the same functionality from scratch.

It has 50077 lines of code, 686 functions and 767 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Cachet and discovered the below as its top functions. This is intended to give you an instant insight into Cachet implemented functionality, and help decide if they suit your requirements.

Show incidents .
Post settings .
Configure the drivers .
Seed the components .
Get the index action .
Send the beacon .
Get the system status .
List last hour
Handle the login form .
Edit an incident .

Get all kandi verified functions for this library.

Cachet Key Features

No Key Features are available at this moment for Cachet.

Cachet Examples and Code Snippets

No Code Snippets are available at this moment for Cachet.

Community Discussions

Trending Discussions on Cachet

Pyspark: Caching approaches in spark sql

Make a database table read only temporarily (and not raising errors)

Flutter crashes on Android when canceling (image_picker) activity

Google Places API Store Locator - Click Search Result Title to Show infoWindow

Spark SQL not equals not working on column created using lag

MySQL 5.5.47 table switches itself from MyISAM to InnoDB

How to optimize Spark Job processing S3 files into Hive Parquet Table

Multiple values to one key from 2 arrays in PHP

Cachet on Kubernetes APP_KEY Error

How to cache resulting dataframe from sql query

QUESTION

Pyspark: Caching approaches in spark sql

Asked 2020-Oct-14 at 15:01

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 15:01

df.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.

Source https://stackoverflow.com/questions/64341872

QUESTION

Make a database table read only temporarily (and not raising errors)

Asked 2020-Sep-22 at 11:14

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 11:14

Nevermind, 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.

Source https://stackoverflow.com/questions/64008074

QUESTION

Flutter crashes on Android when canceling (image_picker) activity

Asked 2020-Jun-30 at 10:54

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 10:54

I'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

Source https://stackoverflow.com/questions/62612003

QUESTION

Google Places API Store Locator - Click Search Result Title to Show infoWindow

Asked 2020-Feb-22 at 17:15

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 17:15

You have all the data needed to open the InfoWindow on click of the sidebar.

Do the same thing done when the marker is clicked:

Source https://stackoverflow.com/questions/60342498

QUESTION

Spark SQL not equals not working on column created using lag

Asked 2019-Dec-12 at 15:11

I am trying to find missing sequences in a CSV File and here is the code i have

...

ANSWER

Answered 2019-Dec-12 at 15:11

Just replace your query with this line of code it will show you the results.

Source https://stackoverflow.com/questions/59306847

QUESTION

MySQL 5.5.47 table switches itself from MyISAM to InnoDB

Asked 2019-Feb-15 at 00:33

I'm working with a decade old website that hosts a database with a search function. I was having issues with search function as it would return the following error: The used table type doesn’t support FULLTEXT indexes. I quick search deemed that the table was using the wrong engine type and I switched it from InnoDB to MyISAM. The search function then worked perfectly. However, a few moments later and the search function had stopped working. The table had been reverted back to InnoDB. I took a closer look at the code on the site and it appears that a page called KT_MXSearch.class.php appears to cycle, DROP/CREATE, the table 'src_cache_cah' which is used to house the potential results. I'm trying to have the the code stop from changing back from MyISAM. I'm a noob at PHP and this is a bit overwhelming so I'm hoping someone here may be able to help. The database runs on MySQL 5.5.47 - Maria DB and we can't upgrade versions. Thanks for reading. Here is the code:

...

ANSWER

Answered 2019-Feb-15 at 00:25

This is generally not a PHP problem, your CREATE TABLE statements don't specify a storage engine (which they probably should if they rely on MyISAM features).

A quick look at the docs leaves you with 2 possible solutions:

Add the required storage engine to the CREATE TABLE statement
Change the default storage engine

If you omit the ENGINE option, the default storage engine is used. The default engine is InnoDB as of MySQL 5.5.5 (MyISAM before 5.5.5). You can specify the default engine by using the --default-storage-engine server startup option, or by setting the default-storage-engine option in the my.cnf configuration file.

Source https://stackoverflow.com/questions/54700945

QUESTION

How to optimize Spark Job processing S3 files into Hive Parquet Table

Asked 2019-Jan-21 at 13:43

I am new to Spark distributed development. I'm attempting to optimize my existing Spark job which takes up to 1 hour to complete.

Infrastructure:

EMR [10 instances of r4.8xlarge (32 cores, 244GB)]
Source Data: 1000 .gz files in S3 (~30MB each)
Spark Execution Parameters [Executors: 300, Executor Memory: 6gb, Cores: 1]

In general, the Spark job performs the following:

...

ANSWER

Answered 2019-Jan-21 at 13:43

Before looking at the metrics, I would try the following change to your code.

Source https://stackoverflow.com/questions/54283507

QUESTION

Multiple values to one key from 2 arrays in PHP

Asked 2018-Sep-11 at 15:23

I'd like to combine 2 Arrays with array_combine. I want that the values of Array1 are my keys and the values of Array2 are my values. The values come from a .yml-file which have componentgroup as Key and componentname as Value

...

ANSWER

Answered 2018-Jul-24 at 14:05

$yamlMap = [];
foreach ($yaml['components'] as $yamlComponent) {
    $key = $yamlComponent['cachet']['componentgroup'];
    $value = $yamlComponent['cachet']['componentname'];
    // Lets initialize the key to be an array so that we may collect multiple values
    if(!array_key_exists($key, $yamlMap)) {
        $yamlMap[$key] = [];
    }
    // lets add the value to the map under the key
    $yamlMap[$key][] = $value;
}

Source https://stackoverflow.com/questions/51499871

QUESTION

Cachet on Kubernetes APP_KEY Error

Asked 2018-Jul-08 at 23:37

I'm trying to run the open source cachet status page within Kubernetes via this tutorial https://medium.com/@ctbeke/setting-up-cachet-on-google-cloud-817e62916d48

2 docker containers (cachet/nginx) and Postgres are deployed to a pod on GKE but the cachet container fails with the following CrashLoopBackOff error

Within the docker-compose.yml file its set to APP_KEY=${APP_KEY:-null} and i’m wondering if I didn’t set an environment variable I should have.

Any help with configuring the cachet docker file would be much appreciated! https://github.com/CachetHQ/Docker

...

ANSWER

Answered 2018-Jul-08 at 23:37

Yes, you need to generate a key.

In the entrypoint.sh you can see that the bash script generates a key for you:

https://github.com/CachetHQ/Docker/blob/master/entrypoint.sh#L188-L193

It seems there's a bug in the Dockerfile here. Generate a key manually and then set it as an environment variable in your manifest.

There's a helm chart you can use in development here: https://github.com/apptio/helmcharts/blob/cachet/devel/cachet/templates/secrets.yaml#L12

Source https://stackoverflow.com/questions/51228553

QUESTION

How to cache resulting dataframe from sql query

Asked 2018-May-23 at 18:59

I've seen few questions on SO about caching sql tables but none of them seems to be exactly answering my question.

The resulting dataframe from a query (from sqlContext.sql("...")) does not seems to be cachable like a regular dataframe.

Here is some example code (spark 2.2):

...

ANSWER

Answered 2018-May-23 at 18:59

After a while, I think it may be useful to post an answer to my question.

The trick is to truncate relation lineage with a new dataframe.

For that, I call spark.createDataFrame(df.rdd, df.schema).cache(). Others have suggested to call rdd.cache.count but that seems to be a lot more inefficient than creating a new one without materializing the underlying rdd.

Source https://stackoverflow.com/questions/47355506

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Cachet

A professional installation service is offered by Alt Three Services Limited. To find out more, contact support@alt-three.com. Do not contact this email address for general support.