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@ -60,7 +60,6 @@ index settings, aliases, mappings, and index templates.
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* <<indices-refresh>>
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* <<indices-flush>>
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* <<indices-forcemerge>>
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* <<indices-upgrade>>
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--
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@ -114,5 +113,3 @@ include::indices/refresh.asciidoc[]
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include::indices/forcemerge.asciidoc[]
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include::indices/upgrade.asciidoc[]
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@ -1,123 +0,0 @@
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[[indices-upgrade]]
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== Upgrade
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The upgrade API allows to upgrade one or more indices to the latest Lucene
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format through an API. The upgrade process converts any segments written with
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older formats.
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[IMPORTANT]
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===================================================
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**The upgrade API in its current form will not help you to migrate indices
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created in Elasticsearch 1.x to 5.x.**
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The upgrade API rewrites an index in the latest Lucene format, but it still
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retains the original data structures that were used when the index was first
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created. For instance:
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* Doc-values on numeric fields used to use BinaryDocValues, but now use dedicated NumericDocValues.
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* The parent-child feature has been completely rewritten to use a new data structure.
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* Geo-point fields now require doc values and the Lucene index where, previously, they relied on in-memory calculations.
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**Migrating 1.x indices to 5.x**
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The only way to prepare an index created in 1.x for use in 5.x is to **reindex
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your data** in a cluster running Elasticsearch 2.3.x, which you can do with
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the new <<docs-reindex,reindex API>>.
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The steps to do this are as follows:
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1. Create a new index (e.g. `new_index`) with the correct settings and
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mappings. These can be retrieved from the old index with the
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<<indices-get-index,get-index>> API.
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2. Reindex from `old_index` to `new_index` with the
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<<docs-reindex,reindex API>>.
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3. Retrieve a list of any aliases associated with the `old_index` using the
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<<alias-retrieving,get-alias API>>.
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4. Delete the `old_index` using the <<indices-delete-index,delete index API>>.
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5. Add an alias called `old_index` to the `new_index` along with any aliases
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returned in step 3, using the <<indices-aliases,update aliases API>>.
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In the future, we plan to change the upgrade API to perform a reindex-in-
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place. In other words, it would reindex data from `old_index` to `.old_index`
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then atomically delete `old_index` and rename `.old_index` to `old_index`.
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===================================================
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[float]
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=== Start an upgrade
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[source,sh]
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--------------------------------------------------
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$ curl -XPOST 'http://localhost:9200/twitter/_upgrade'
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--------------------------------------------------
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NOTE: Upgrading is an I/O intensive operation, and is limited to processing a
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single shard per node at a time. It also is not allowed to run at the same
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time as an optimize/force-merge.
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This call will block until the upgrade is complete. If the http connection
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is lost, the request will continue in the background, and
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any new requests will block until the previous upgrade is complete.
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[float]
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[[upgrade-parameters]]
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==== Request Parameters
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The `upgrade` API accepts the following request parameters:
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[horizontal]
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`only_ancient_segments`:: If true, only very old segments (from a
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previous Lucene major release) will be upgraded. While this will do
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the minimal work to ensure the next major release of Elasticsearch can
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read the segments, it's dangerous because it can leave other very old
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segments in sub-optimal formats. Defaults to `false`.
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[float]
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=== Check upgrade status
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Use a `GET` request to monitor how much of an index is upgraded. This
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can also be used prior to starting an upgrade to identify which
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indices you want to upgrade at the same time.
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The `ancient` byte values that are returned indicate total bytes of
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segments whose version is extremely old (Lucene major version is
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different from the current version), showing how much upgrading is
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necessary when you run with `only_ancient_segments=true`.
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[source,sh]
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--------------------------------------------------
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curl 'http://localhost:9200/twitter/_upgrade?pretty&human'
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--------------------------------------------------
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[source,js]
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--------------------------------------------------
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{
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"size": "21gb",
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"size_in_bytes": "21000000000",
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"size_to_upgrade": "10gb",
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"size_to_upgrade_in_bytes": "10000000000"
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"size_to_upgrade_ancient": "1gb",
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"size_to_upgrade_ancient_in_bytes": "1000000000"
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"indices": {
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"twitter": {
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"size": "21gb",
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"size_in_bytes": "21000000000",
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"size_to_upgrade": "10gb",
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"size_to_upgrade_in_bytes": "10000000000"
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"size_to_upgrade_ancient": "1gb",
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"size_to_upgrade_ancient_in_bytes": "1000000000"
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}
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}
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}
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--------------------------------------------------
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The level of details in the upgrade status command can be controlled by
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setting `level` parameter to `cluster`, `index` (default) or `shard` levels.
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For example, you can run the upgrade status command with `level=shard` to
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get detailed upgrade information of each individual shard.
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