connectors | product designed and developed by the company Filigran | Security library
kandi X-RAY | connectors Summary
kandi X-RAY | connectors Summary
OpenCTI is a product powered by the collaboration of the French national cybersecurity agency (ANSSI), the CERT-EU and the Luatix non-profit organization.
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Top functions reviewed by kandi - BETA
- Runs the connector detection
- Generate the indicator pattern
- Convert a time to a datetime object
- Parse a feed entry
- Import a CI event
- Parse a Windows Registry pattern
- Create a new ecs indicator from a given entity
- Get Opencti entity
- Run the pulse importer
- Convert CVE file to JSON
- Process a received message
- Run the connector loop
- Run connector
- Setup Elasticsearch index
- Loop through the connector
- Runs the connector
- Fetch ThreatMatch
- Loop forever
- Connects to Virut
- Processes a message
- Loop through a connected connector
- Runs the connector
- Run the AbuseIPDB driver
- Start Sentinel Connector
- Searches for new alerts
- Create and submit the report and process it
connectors Key Features
connectors Examples and Code Snippets
Community Discussions
Trending Discussions on connectors
QUESTION
I am comparatively new to terraform and trying to create a working module which can spin up multiple cloud functions at once. The part which is throwing error for me is where i am dynamically calling event trigger. I have written a rough code below. Can someone please suggest what i am doing wrong?
Main.tf
...ANSWER
Answered 2022-Apr-11 at 10:15Your event_trigger
is in n
. Thus, your event_trigger
should be:
QUESTION
We are developing a MS Teams application (using incoming webhooks to deliver messages from our SaaS app into Teams) and have noticed that when creating new connectors using the MS Connectors Developer Dashboard (https://outlook.office.com/connectors/publish) the connector install process no longer functions as it used to.
Up until about a week ago, the connector install process involved the connector configuration page being loaded as an iframe within the teams app install modal. This is exactly as described and expected in the MS docs here: https://docs.microsoft.com/en-us/microsoftteams/platform/webhooks-and-connectors/how-to/connectors-creating
This install process should look like this: Working connector
Currently, when creating connectors, the resulting install flow looks like this. (Notice how it no longer renders configuration screen in iframe, but instead links to it): Broken connector
I have diff'ed the application manifest and confirmed the only difference in setup is the connector ID. I've also double checked that all the connector fields (valid domains, configuration URLs etc.) are exactly as before. The change seems to be on Microsoft side. My old connectors created earlier this month continue to work OK
My question is, what is this new install flow that I'm seeing and why is it suddenly showing up now? How can I tell Teams to go back to using the old install flow for my new connectors.
Other details that may be relevant:
- I've tried creating connectors in two separate MS Office accounts, both work the same way
- The app is NOT yet published, I'm testing locally by uploading and approving within our company's Teams account
- I've confirmed the configuration endpoint is viewable from the outside world and have found now network errors in the teams app that would explain it failing to load.
ANSWER
Answered 2022-Mar-17 at 16:30Microsoft Teams support were able to confirm that there was an issue and that it was resolved and rolled out on March 15 2022. I have since confirmed that I am able to create and install teams apps.
Thank you to Meghana for keeping me in the loop about progress.
QUESTION
Trying to make my own component based on KubernetesPodOperator. I am able to define and add the component to the list of components but when trying to run it, I get:
Operator 'KubernetesPodOperator' of node 'KubernetesPodOperator' is not configured in the list of available operators. Please add the fully-qualified package name for 'KubernetesPodOperator' to the AirflowPipelineProcessor.available_airflow_operators configuration.
and error:
...ANSWER
Answered 2022-Feb-21 at 15:16The available_airflow_operators list is a configurable trait in Elyra. You’ll have to add the fully-qualified package name for the KubernetesPodOperator
to this list in order for it to create the DAG correctly.
To do so, generate a config file from the command line with jupyter elyra --generate-config
. Open the created file and add the following line (you can add it under the PipelineProcessor(LoggingConfigurable)
heading if you prefer to keep the file organized):
QUESTION
We have an Microsoft Search instance for crawling one custom app : https://docs.microsoft.com/en-us/microsoftsearch/connectors-overview
Query & display is working as expected but aggregation provides wrong results
query JSON : https://graph.microsoft.com/v1.0/search/query
select title
+ submitter
and aggregation on submitter
ANSWER
Answered 2022-Feb-18 at 16:34Rootcause has been identified as submitter
property wasn't created with flag refinable
QUESTION
I'm creating a Dataproc cluster, and it is timing out when i'm adding the connectors.sh in the initialization actions.
here is the command & error
...ANSWER
Answered 2022-Feb-01 at 20:01It seems you are using an old version of the init action script. Based on the documentation from the Dataproc GitHub repo, you can set the version of the Hadoop GCS connector without the script in the following manner:
QUESTION
We use to spin cluster with below configurations. It used to run fine till last week but now failing with error ERROR: Failed cleaning build dir for libcst Failed to build libcst ERROR: Could not build wheels for libcst which use PEP 517 and cannot be installed directly
ANSWER
Answered 2022-Jan-19 at 21:50Seems you need to upgrade pip
, see this question.
But there can be multiple pip
s in a Dataproc cluster, you need to choose the right one.
For init actions, at cluster creation time,
/opt/conda/default
is a symbolic link to either/opt/conda/miniconda3
or/opt/conda/anaconda
, depending on which Conda env you choose, the default is Miniconda3, but in your case it is Anaconda. So you can run either/opt/conda/default/bin/pip install --upgrade pip
or/opt/conda/anaconda/bin/pip install --upgrade pip
.For custom images, at image creation time, you want to use the explicit full path,
/opt/conda/anaconda/bin/pip install --upgrade pip
for Anaconda, or/opt/conda/miniconda3/bin/pip install --upgrade pip
for Miniconda3.
So, you can simply use /opt/conda/anaconda/bin/pip install --upgrade pip
for both init actions and custom images.
QUESTION
I'm trying to migrate from airflow 1.10 to Airflow 2 which has a change of name for some operators which includes - DataprocClusterCreateOperator
. Here is an extract of the code.
ANSWER
Answered 2022-Jan-04 at 22:26It seems that in this version the type of metadata
parameter is no longer dict
. From the docs:
metadata (
Sequence[Tuple[str, str]]
) -- Additional metadata that is provided to the method.
Try with:
QUESTION
Do we have any system tables in Snowflake which gives us the credit usage information like : a. Warehouse level b. Account level, etc..
Requirement --> We have a requirement where there is a need to extract those information from SF via available SF connectors & orchestrate them as per the need of the client.
Regards, Somen Swain
...ANSWER
Answered 2021-Dec-10 at 07:44I think you need the WAREHOUSE_METERING_HISTORY Account Usage view
QUESTION
We have set our Kafka Connect to be able to read credentials from a file, instead of giving them directly in connector config. This is how a login part of connector config looks like:
"connection.user": "${file:/kafka/pass.properties:username}",
"connection.password": "${file:/kafka/pass.properties:password}",
We also added these 2 lines to "connect-distributed.properties" file:
config.providers=file
config.providers.file.class=org.apache.kafka.common.config.provider.FileConfigProvider
Mind that it works perfectly for JDBC connectors, so there is no problem with the pass.properties file. But for other connectors, such as couchbase, rabbitmq, s3 etc. it causes problems. All these connectors work fine when we give credentials directly but when we try to make Connect to read them from a file it gives some errors. What could be the reason? I don't see any JDBC specific configuration here.
EDIT:
An error about couchbase in connect.log:
...ANSWER
Answered 2021-Dec-03 at 06:17Looks like the problem was quote marks in pass.properties file. The interesting thing is, even if credentials are typed with or without quote marks, JDBC connectors work well. Maybe the reason is it is the first line in the file but just a small possibility.
So, do NOT use quote marks in your password files, even if some of the connectors work this way.
QUESTION
I would like to add real time data from SQL server to Kafka directly and I found there is a SQL server connector provided by https://debezium.io/docs/connectors/sqlserver/
In the documentation, it says that it will create one topic for each table. I am trying to understand the architecture because I have 500 clients which means I have 500 databases and each of them has 500 tables. Does it mean that it will create 250000 topics or do I need separate Kafka Cluster for each client and each cluster/node will have 500 topics based on the number of tables in the database?
Is it the best way to send SQL data to Kafka or should we send an event to Kafka queue through code whenever there is an insert/update/delete on a table?
...ANSWER
Answered 2021-Dec-02 at 03:08With debezium you are stuck with one table to one topic mapping. However, there are creative ways to get around it.
Based on the description, it looks like you have some sort of product that has SQL Server backend, and that has 500 tables. This product is being used by 500 or more clients and everyone has their own instance of the database.
You can create a connector for one client and read all 500 tables and publish it to Kafka. At this point you will have 500 Kafka topics. You can route the data from all other database instances to the same 500 topics by creating separate connectors for each client / database instance. I am assuming that since this is a backend database for a product, the table names, schema names etc. are all same, and the debezium connector will generate same topic names for the tables. If that is not the case, you can use topic routing SMT.
You can differentiate the data in Kafka by adding a few metadata columns in the topic. This can easily be done in the connector by adding SMTs. The metadata columns could be client_id, client_name or something else.
As for your other question,
Is it the best way to send SQL data to Kafka or should we send an event to Kafka queue through code whenever there is an insert/update/delete on a table?
The answer is "it depends!". If it is a simple transactional application, I would simply write the data to the database and not worry about anything else.
The answer is also dependent on why you want to deliver data to Kafka. If you are looking to deliver data / business events to Kafka to perform some downstream business processing requiring transactional integrity, and strict SLAs, writing the data from application may make sense. However, if you are publishing data to Kafka to make it available for others to use for analytical or any other reasons, using the K-Connect approach makes sense.
There is a licensed alternative, Qlik Replicate, which is capable of something very similar.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install connectors
You can use connectors like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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