SQL window functions are powerful tools for analytical queries, especially in data-heavy environments. They were created to address limitations in traditional SQL operations, particularly for performing analytical calculations across related rows without collapsing the result set.

It is a very simple SQL concept but heavily used. Usually, we use it with one joining / matching condition, but sometimes there can be multiple conditions depending on the scenar

We need to use field data caching to utilize fast aggregation and sort queries. However, caching too many fields can degrade Elasticsearch performance by reducing available JVM memory.

Do you know why the 𝗣𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻𝗲𝗱 𝗧𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁 (𝗠𝗶𝗕/𝘀) and 𝗜𝗢𝗣𝗦 (Input/Output Operations Per Second) are very important stuffs to consider based on requirements?

We may encounter an yellow cluster status of an AWS Elasticsearch cluster. Do we know why dpes the cluster run in yellow state?

An Entire Lifecycle of An Indexing Request (Single & Bulk) in Elasticsearch. When we send a document to be indexed, here is the sequence of events that must happen before our client/service gets a 200 OK or 201 Created response.

AWS OpenSearch (formerly Elasticsearch) manages each node’s memory and storage much like a traditional server, but applies its own internal management mechanisms and operational workflows.

It is must required to know about AWS EC2 and Elasticsarch storage options and types especially how the JVM memory performs.

When a client initiates a search or indexing request to Elasticsearch, the system follows a defined sequence of processing steps. Do you know why what are the steps?

When a data node receives a request—such as a search query—it attempts to process the request by allocating an available thread from the corresponding thread pool. If all threads in the pool are currently in use, the request is enqueued in the associated wait queue, where it remains until a thread becomes available for processing.

A Quick overview of what is AWS Elasticsearch, when it is a perfect choice, cluster data distribution, sharding, replicas, configurations and common issues.

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