ingestion | Flume - Ingestion , an Apache Flume distribution | Pub Sub library

by Stratio Java Version: 0.7.0 License: Apache-2.0

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

kandi X-RAY | ingestion Summary

ingestion is a Java library typically used in Messaging, Pub Sub, Kafka applications. ingestion has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Flume - Ingestion, an Apache Flume distribution

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Quality

Security

License

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Support

ingestion has a low active ecosystem.

It has 149 star(s) with 62 fork(s). There are 109 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 44 have been closed. On average issues are closed in 38 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ingestion is 0.7.0

Quality

ingestion has no bugs reported.

Security

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

License

ingestion is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

ingestion releases are available to install and integrate.

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

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

Process the event
Parse event
Parses the given string value
Populates a DBObject with the specified delimiter
Starts the snmp service
Creates User object
Synchronized
Saves the events in the database
Parse the configuration
Get TTL value of elasticsearch index
Compares this object with another date field
Configure the mongo server
Gets events from the given body
Execute bulk request
Reads the event
Configures contact points
Execute insert query
Connect to Cassandra
Configures the context
Configures the configuration
Process incoming events
This method sends data to the sink
Read event delivery
Configures the snmp
Executes the process
Batch process

Get all kandi verified functions for this library.

ingestion Key Features

No Key Features are available at this moment for ingestion.

ingestion Examples and Code Snippets

No Code Snippets are available at this moment for ingestion.

Community Discussions

Trending Discussions on ingestion

Remove a part of a log in Loki

Azure AKS data ingestion optimization in log analytics

Separation of clusters for ingestion and export

How to clear ingress queue?

Azure Data Explorer Stream Ingest formatted JSON Documents

Is it possible to explode JSON array on ingestion stage?

Is there a Linux equivalent of LightIngest.exe?

Azure Databricks Execution Fail - CLOUD_PROVIDER_LAUNCH_FAILURE

How to check ADX ingestion log and queue?

How to bind JavaScript based date column in Snowflake SQL

QUESTION

Remove a part of a log in Loki

Asked 2022-Mar-21 at 10:18

I have installed Grafana, Loki, Promtail and Prometheus with the grafana/loki-stack.

I also have Nginx set up with the Nginx helm chart.

Promtail is ingesting logs fine into Loki, but I want to customise the way my logs look. Specifically I want to remove a part of the log because it creates errors when trying to parse it with either logfmt or json (Error: LogfmtParserErr and Error: JsonParserErr respectively).

The logs look like this:

...

ANSWER

Answered 2022-Feb-21 at 17:57

Promtail should be configured to replace the string with the replace stage.

Here is a sample config that removes the stdout F part of the log for all logs coming from the namespace ingress.

Source https://stackoverflow.com/questions/71210935

QUESTION

Azure AKS data ingestion optimization in log analytics

Asked 2022-Mar-21 at 06:58

I am using azure AKS for Mechine learning model deployment and it automatiaclly deploys models weekly

Now AKS produces more costs for log analytics data ingestion

We are working to optimize the data ingestion to the log analytics

i have two nodes in AKS

Somehow we can reduce some data ingestion. but when i see the data ingestion today for past 24 hour it again increases and when i try to see the nodes which produces billable data ingestion it shows one more filed which shows as 'deprecate field: see http://aka'

below i mentioned query and the query result for reference

query

...

ANSWER

Answered 2022-Mar-21 at 06:58

The value you are getting http://aka is probably part of a link to some microsoft documentation. You are truncating it though when you do tolower(tostring(split(Computer, '.')[0])).

Try add Computer to your summarize clause so that you can get the full link:

Source https://stackoverflow.com/questions/71526805

QUESTION

Separation of clusters for ingestion and export

Asked 2022-Mar-12 at 20:16

Considering that a cluster is dominated by ingestion processes in terms of memory and cpu usage , is it better to have a separate follower cluster dedicated to only export? The use case is to export huge amount of data out of an ADX cluster by letting all the nodes participate in export. In other words, is there any disadvantage in using a follower cluster for export that the leader cluster itself? Or it will be a better strategy to simply scale up/out the main(leader) cluster itself for facilitating heavy export without having to do it through a follower cluster ? What is the best way to optimize export in this case? The export is to an external table which points to a storage in the same region as the cluster.

...

ANSWER

Answered 2022-Mar-12 at 20:16

I suggest scaling up/out the existing cluster, instead of creating a follower cluster. It will allow you easier management and you'll pay less.

To have efficient export, the recommendation is to export into parquet format, and use the useNativeParquetWriter flag, see more details here.

Source https://stackoverflow.com/questions/71438197

QUESTION

How to clear ingress queue?

Asked 2022-Mar-11 at 12:07

I sent 1000 invalid items for ingestion through LightIngest.exe. Each individual item takes around 10 minutes before it fails due to connectivity problems:

I am not able to proceed with valid items as they are added to the tail of the queue. How can I reset the queue?

...

ANSWER

Answered 2022-Mar-11 at 12:07

There is no way today to reset or clear the queue. You have the following options:

Wait - the retries are exponential, so the impact of the rouge items will be diminished significantly as more time passes
Rename the table - the ingestions in the queue will fail and the queue will be cleared up. Please note however that when you rename the table back to the original name, items that are still waiting in the queue for a "retry" will continue to fail when their time arrives (since the table is back into its original name). So the closer that you do it to the actual error the better.

Source https://stackoverflow.com/questions/71434550

QUESTION

Azure Data Explorer Stream Ingest formatted JSON Documents

Asked 2022-Mar-07 at 17:37

We ingest JSON messages from Event Hub into Azure Data Explorer via Stream Ingestion.

I created a table with this statement

...

ANSWER

Answered 2022-Mar-07 at 17:37

You need to specify the multiline json in your EventHub connection, or in the ingestion command (not in the mapping).

See the ingestion properties doc (specifically the "format" property) and follow the link to see the applicable names of the format to specify in the ingestion command or the EventHub connection.

Source https://stackoverflow.com/questions/71384763

QUESTION

Is it possible to explode JSON array on ingestion stage?

Asked 2022-Feb-24 at 06:23

Azure Data Explorer is receiving data through Event Hub subscription. The payload is compressed JSON of the type:

...

ANSWER

Answered 2022-Feb-24 at 06:23

You can achieve that using an update policy.

There's an example you can follow here: https://docs.microsoft.com/en-us/azure/data-explorer/ingest-json-formats?tabs=kusto-query-language#ingest-json-records-containing-arrays

Source https://stackoverflow.com/questions/71247776

QUESTION

Is there a Linux equivalent of LightIngest.exe?

Asked 2022-Feb-13 at 01:45

Is there a Linux equivalent of LightIngest.exe? The page of the utility does not mention that, search brings no luck either. In case it is not available, what is the preferred way to post ingestion items through CLI in Linux?

...

ANSWER

Answered 2022-Jan-27 at 08:37

There is a .NET Core Kusto.Tools package - it is currently built for Core 2.1 and we will be working on updating it in the coming weeks.

https://www.nuget.org/packages/Microsoft.Azure.Kusto.Tools.NETCore/

Source https://stackoverflow.com/questions/70875228

QUESTION

Azure Databricks Execution Fail - CLOUD_PROVIDER_LAUNCH_FAILURE

Asked 2022-Feb-07 at 14:09

I'm using Azure DataFactory for my data ingestion and using an Azure Databricks notebook through ADF's Notebook activity.

The Notebook uses an existing instance pool of Standard DS3_V2 (2-5 nodes autoscaled) with 7.3LTS Spark Runtime version. The same Azure subscription is used by multiple teams for their respective data pipelines.

During the ADF pipeline execution, I'm facing a notebook activity failure frequently with the below error message

...

ANSWER

Answered 2022-Feb-07 at 13:26

The problem arise from the fact that when your workspace was created, the network and subnet sizes wasn't planned correctly (see docs). As result, when you're trying to launch a cluster, then there is not enough IP addresses in a given subnet, and given this error.

Unfortunately right now it's not possible to expand network/subnets size, so if you need a bigger network, then you need to deploy a new workspace and migrate into it.

Source https://stackoverflow.com/questions/71018067

QUESTION

How to check ADX ingestion log and queue?

Asked 2022-Jan-27 at 09:10

The command

...

ANSWER

Answered 2022-Jan-27 at 09:10

ADX is optimized for high throughput, therefore it is not optimized for exposing individual ingest operation tracking by default (that level of granularity puts extra load on the service). We also do not expose detailed information on the queues, definitely not listing the ingress queue items.

You can track all the ingest operations (failed/succeeded/both) by setting up Diagnostic Logs with Azure Monitor.

An aggregated view on your cluster via metrics is also available. Please see Monitor Azure Data Explorer performance, health & usage with metrics and Monitor batching ingestion in Azure Data Explorer.

Source https://stackoverflow.com/questions/70875158

QUESTION

How to bind JavaScript based date column in Snowflake SQL

Asked 2022-Jan-27 at 06:18

I am creating snowflake JavaScript based store procedure. How can i refer the date data type variable in snowflake sql.

Here is the sample code: In the below code ,please suggest how can i use 'dnblatestdt' variable in sql statement.

...

ANSWER

Answered 2022-Jan-27 at 01:29

So I wrote a much simpler function that uses a similar pattern to your code:

Source https://stackoverflow.com/questions/70864607

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

Vulnerabilities

No vulnerabilities reported

Install ingestion

You can download it from GitHub.
You can use ingestion like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ingestion component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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