elk | : telephone : Ruby API client for 46elks messaging service | SMS library

No, you cannot stream data out of Elasticsearch on its own.

If your input is something else, you can use Logstash's various output plugins (or write your own) that can write into a supported Python library

For example: pipe, tcp, websocket/http, exec plugins are all generic enough to be used with any language

However, logstash does not persist events like Kafka does, so if you want something that can handle back pressure and doesn't drop events, you'd keep Kafka around

You are seeing a null-value because your script, when it is not January does not return anything. The external if does not have an else counterpart. What happens when no condition match?

NOTE: Currently, despite your introduction, your script is returning:

• true for the following dates: 01.01, 14.01, 26.01, 11.01, 02.01, 13.01, 21.01, 10.01, 05.01
• false for the remaining days of January
• nothing (i.e., null for the rest of the days of the year.

You need to fix your script to cover all cases not only January. You can simply add an else condition as follows.

You should add separator (---) between two components. I have tested below YAML on my machine and its working as expected:

This error means that you already have a document in your index where the field externaldata has the type text and now you are trying to index the same field as an object.

For example if in one document you have externaldata as a text:

I guess the issue happened for timing out for the Kibana connection, First of all make sure that you Elasticsearch server is up and running (the default port is on 9200 ) and by typing the localhost:9200 on a browser you must get following massage

• $unwind deconstruct keywords array
• $group by keywords and count total
• $group by null and construct array of key-value pair
• $arrayToObject convert above array to object key-value format
• $replaceRoot to replace above converted object to root

For the ELK stack to work you need all three PersistentVolumeClaim's to be bound as I recall. Instead of creating 1 30 GB of PV create 3 of the same size with the claims and then re-install. Other nodes have unmet dependincies.

Also please do not handle the volumes by hand. There are guidelines to deploy dynamic volums. Use OpenEBS for example. That way you wont need to worry about the pvc's. After giving the pv's if anything happens write again with your cluster installation process.

I was wrong obviously, in this particular problem, filesystems and cgroups take role and the main problem of this is an old problem. From 5.2.1 to 8.0.0. Reinstall the chart by pulling the chart. Edit values file and definitely change the container version. It should be fine or create another error log stack.

It is possible that you need to patch the CoreDNS deployment. By default it is configured to only run on worker nodes and not on Fargate. See the "(Optional) Update CoreDNS" section in this doc page

According the comments and more information You have provided, it seems that the issue is the fact that two Flink consumers can't consume from the same partition. So, in Your case only one parallel instance of the operator will consume from kafka partition and the other one will be idle.

In general Flink operator will select MIN([all_downstream_parallel_watermarks]), so In Your case one Kafka Consumer will produce normal Watermarks and the other will never produce anything (flink assumes Long.Min in that case), so Flink will select the lower one which is Long.Min. So, window will never be fired, because while the data is flowing one of the watermarks is never generated. The good practice is to use the same paralellism as the number of Kafka partitions when working with Kafka.