Partially mounted indices are designed for the frozen storage tier and need a shared cache configured across the nodes. Manual mounting with a partially mounted index If you manage your own repository storage, then you are responsible for its reliability. All major public cloud providers typically offer very good protection against data loss or corruption. If both the data node index and the repository fails, then the data is lost. However, if replicas are required for speed improvement, we can add some as well. Step 4: Search the new index GET test_mount_recovered/_searchĪfter mounting the index from a snapshot, we don’t need replicas for data resilience as a full copy will be stored in the repository. _tier_preference” under index_ settings, it will be set to “data_cold,data_warm,data_hot”, meaning it will try to mount in cold tier nodes, and if there are no cold nodes available it will try with warm and then hot. Step 3: Mount the index from the snapshot POST /_snapshot/local_repo/test_mount_snapshot/_mount?wait_for_completion=true Step 2: Create the snapshot PUT _snapshot/local_repo/test_mount_snapshot Step 1: Create the index POST test_mount/_doc In this example, we will create a repository named local_repo. It is recommended to use a cloud provider for data resiliency, but we can use local storage for testing purposes. The first thing to do is to configure a snapshot repository. Now, let’s look at how manual mounting works with a fully mounted index. Manual mounting with a fully mounted index If data needs to be fetched, the results would need a couple of seconds to return while the repository is being optimized for search. If all the results are in the cache, the search will take milliseconds. An index that only contains the most frequently searched data is called a “partially mounted index”. If you run a search and part of the needed data is not in the cache, it will be fetched from the repository. The rest of the data lives in the data repository.
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