To better distribute the memory allocating to indexing, the IndexingMemoryController periodically checks the different shard for their last indexing activity. If no activity has happened for a while, the controller marks the shards as in active and allocated it's memory buffer budget (but a small minimal budget) to other active shards. The recently added synced flush feature (#11179, #11336) uses this inactivity trigger to attempt as a trigger to attempt adding a sync id marker (which will speed up future recoveries).
We wait for 30m before declaring a shard inactive. However, these days the operation just requires a refresh and is light. We can be stricter (and 5m) increase the chance a synced flush will be triggered.
Closes#11479
When a snapshot operation on a particular shard finishes, the data node where this shard resides sends an update shard status request to the master node to indicate that the operation on the shard is done. When the master node receives the command it queues cluster state update task and acknowledges the receipt of the command to the data node.
The update snapshot shard status tasks have relatively low priority, so during cluster instability they tend to get stuck at the end of the queue. If the master node gets restarted before processing these tasks the information about the shards can be lost and the new master assumes that they are still in process while the data node thinks that these shards are already done.
This commit add a retry mechanism that checks compares cluster state of a newly elected master and the current state of snapshot shards and updates the cluster state on the master again if needed.
Closes#11314
This is happening because of #4074 when we required that the top-level "query" is present to delete-by-query requests, but prior to that we required that it is not present. So the translog has a DBQ without "query" and when we try to parse it we hit this exception.
This commit adds special handling for pre 1.0.0 indices if we hit parse exception, we
try to reparse without a top-level query object to be BWC compatible for these indices.
Closes#10262
Conflicts:
src/main/java/org/elasticsearch/index/shard/IndexShard.java
src/test/java/org/elasticsearch/index/shard/IndexShardTests.java
This commit changes the date handling. First and foremost Elasticsearch
does not try to convert every date to a unix timestamp first and then
uses the configured date. This now allows for dates like `2015121212` to
be parsed correctly.
Instead it is now explicit by adding a `epoch_second` and `epoch_millis`
date format. This also means, that the default date format now is
`epoch_millis||dateOptionalTime` to remain backwards compatible.
Closes#5328
Relates #10971
Each shard repository consists of snapshot file for each snapshot - this file contains a map between original physical file that is snapshotted and its representation in repository. This data includes original filename, checksum and length. When a new snapshot is created, elasticsearch needs to read all these snapshot files to figure which file are already present in the repository and which files still have to be copied there. This change adds a new index file that contains all this information combined into a single file. So, if a repository has 1000 snapshots with 1000 shards elasticsearch will only need to read 1000 blobs (one per shard) instead of 1,000,000 to delete a snapshot. This change should also improve snapshot creation speed on repositories with large number of snapshot and high latency.
Fixes#8958
Some settings may be considered sensitive, such as passwords, and storing them
in the configuration file on disk is not good from a security perspective. This change
allows settings to have a special value, `${prompt::text}` or `${prompt::secret}`, to
indicate that elasticsearch should prompt the user for the actual value on startup.
This only works when started in the foreground. In cases where elasticsearch is started
as a service or in the background, an exception will be thrown.
Closes#10838
Currently, when trying to determine if a location is within one of the configured repository
paths, we compare the root path against a normalized path but the root path is never
normalized so the check may incorrectly fail. This change normalizes the root path and
compares it to the other normalized path.
Relates to #11426
documentaiton
Change log entries, add convenience methods, unit tests
Correct allocation decision messages to display used space
Missed a word
Correct displayed threshold value
A `_parent` field can only point to a type that doesn't exist yet.
The validation that checks this relied on have all mappings in the
MapperService. The issue is that this check is performed on the
elected master node and it may not have the IndexService at all
to perform this check. In that case it creates a temporary IndexService and
MapperService to perform mapping validation, but only the mappings
that are part of the put index call are created, not the already existing mappings.
Because of that the `_parent` field validation can't be performed.
By changing the validation to rely on the cluster state's IndexMetaData instead
we can get around the issue with the IndexService/MapperService on the elected
master node. The IndexMetaData always holds the MappingMetaData instances
for all types.
When the dfs phase runs a SearchContext is created on each node that has a shard
for this query. When the query phase (or query and fetch phase) failed that SearchContext
was released only if the query was actually executed on the node. If for example
the query was rejected because the thread pool queue was full then the search context
was not released.
This commit adds a dedicated call for releasing the SearchContext in this case.
In addition, we must set the docIdsToLoad to null in case the fetch phase failed, otherwise
search contexts might not be released in releaseIrrelevantSearchContexts.
closes#11400
Currently all settings that were specified during repository creation are displayed. This commit enables plugins such as cloud-aws to filter out sensitive settings from the repository.
Closes#11265
When using async fetch, we can end up with cluster updates and reroutes based on teh number of shards. While not disastrous we can optimize it, since a single reroute is enough to apply to all the async fetch results that arrived during that time.
* Cut the `has_child` and `has_parent` queries over to use Lucene's query time global ordinal join. The main benefit of this change is that parent/child queries can now efficiently execute if parent/child queries are wrapped in a bigger boolean query. If the rest of the query only hit a few documents both has_child and has_parent queries don't need to evaluate all parent or child documents any more.
* Cut the `_parent` field over to use doc values. This significantly reduces the on heap memory footprint of parent/child, because the parent id values are never loaded into memory.
Breaking changes:
* The `type` option on the `_parent` field can only point to a parent type that doesn't exist yet, so this means that an existing type/mapping can't become a parent type any longer.
* The `has_child` and `has_parent` queries can no longer be use in alias filters.
All these changes, improvements and breaks in compatibility only apply for indices created with ES version 2.0 or higher. For indices creates with ES <= 2.0 the older implementation is used.
It is highly recommended to re-index all your indices with parent and child documents to benefit from all the improvements that come with this refactoring. The easiest way to achieve this is by using the scan and bulk apis using a simple script.
Closes#6107Closes#8134
Simon Willnauer
Clinton Gormley
Boaz Leskes
Igor Motov
Simon Willnauer
Alexander Reelsen
Lee Hinman
Tanguy Leroux
Ryan Ernst
Timur
Shay Banon
jaymode
Kis Marcell
Britta Weber
Colin Goodheart-Smithe
Robert Muir
Martijn van Groningen
Adrien Grand
Robert Muir