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The older method used to reply completely on timestamps to take batches of items in a timestamp range and then just incrementing the timestamp. This led to handling edge-cases such as more items than the batch count, all having the same timestamp. Additionally, relying on timestamp as the page cursor meant that indexing was not very efficient if you had several items spread out across large spans of time. To get away from all of that we use a proper cursor-based approach consisting of createAt+Id. With this, we move completely to a constant page size where we can fetch a given number of objects irrespective of when they were created. This makes indexing much more faster and efficient. https://mattermost.atlassian.net/browse/MM-41260 ```release-note Elasticsearch and Bleve indexing have been revamped to be much more efficient and faster. The config parameter BulkIndexingTimeWindowSeconds for both elasticsearch and bleve have been removed. A new config parameter called BatchSize has been introduced instead. This parameter controls the number of objects that can be indexed in a single batch. This makes things more efficient and maintains a constant workload. ```
Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. This repo is the primary source for core development on the Mattermost platform; it's written in Go and React and runs as a single Linux binary with MySQL or PostgreSQL. A new compiled version is released under an MIT license every month on the 16th.
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