We currently use the djb2 hash function in order to compute the shard a
document should go to. Unfortunately this hash function is not very
sophisticated and you can sometimes hit adversarial cases, such as numeric ids
on 33 shards.
Murmur3 generates hashes with a better distribution, which should avoid the
adversarial cases.
Here are some examples of how 100000 incremental ids are distributed to shards
using either djb2 or murmur3.
5 shards:
Murmur3: [19933, 19964, 19940, 20030, 20133]
DJB: [20000, 20000, 20000, 20000, 20000]
3 shards:
Murmur3: [33185, 33347, 33468]
DJB: [30100, 30000, 39900]
33 shards:
Murmur3: [2999, 3096, 2930, 2986, 3070, 3093, 3023, 3052, 3112, 2940, 3036, 2985, 3031, 3048, 3127, 2961, 2901, 3105, 3041, 3130, 3013, 3035, 3031, 3019, 3008, 3022, 3111, 3086, 3016, 2996, 3075, 2945, 2977]
DJB: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 900, 900, 900, 900, 1000, 1000, 10000, 10000, 10000, 10000, 9100, 9100, 9100, 9100, 9000, 9000, 0, 0, 0, 0, 0, 0]
Even if djb2 looks ideal in some cases (5 shards), the fact that the
distribution of its hashes has some patterns can raise issues with some shard
counts (eg. 3, or even worse 33).
Some tests have been modified because they relied on implementation details of
the routing hash function.
Close#7954
This commit adds the ability to associate a bit of state with each
individual aggregation.
The aggregation response can be hard to stitch back together without
having a reference to the aggregation request. In many cases this is not
available, many json serializer frameworks cache types globally or have a
static deserialisation override mechanism. In these cases making the
original request available, if at all possible, would be a hack.
The old facets returned `_type` which was just enough metadata to know
what the originating facet type in the request was.
This PR takes `_type` one step further by introducing ANY arbitrary meta
data. This could be further <strike>ab</strike>used for instance by
generic/automated aggregations that include UI state (color information,
thresholds, user input states, etc) per aggregation.
This adds HTTP pipelining support to netty. Previously pipelining was not
supported due to the asynchronous nature of elasticsearch. The first request
that was returned by Elasticsearch, was returned as first response,
regardless of the correct order.
The solution to this problem is to add a handler to the netty pipeline
that maintains an ordered list and thus orders the responses before
returning them to the client. This means, we will always have some state
on the server side and also requires some memory in order to keep the
responses there.
Pipelining is enabled by default, but can be configured by setting the
http.pipelining property to true|false. In addition the maximum size of
the event queue can be configured.
The initial netty handler is copied from this repo
https://github.com/typesafehub/netty-http-pipeliningCloses#2665
The MLT field query is simply replaced by a MLT query set to specififc field.
To simplify code maintenance we should deprecate it in 1.4 and remove it in
2.0.
Closes#8238
Fixes a bug where alias creation would allow `null` for index name, which thereby
applied the alias to _all_ indices. This patch makes the validator throw an
exception if the index is null.
```bash
POST /_aliases
{
"actions": [
{
"add": {
"alias": "empty-alias",
"index": null
}
}
]
}
```
```json
{
"error": "ActionRequestValidationException[Validation Failed: 1: Alias action [add]: [index] may not be null;]",
"status": 400
}
```
The reason this bug wasn't caught by the existing tests is because
the old test for nullness only validated against a cluster which had
zero indices. The null index is translated into "_all", and since
there are no indices, this fails because the index doesn't exist.
So the test passes.
However, as soon as you add an index, "_all" resolves and you get the
situation described in the original bug report: null index is
accepted by the alias, resolves to "_all" and gets applied to everything.
The REST tests, otoh, explicitly tested this bug as a real feature and therefore
passed. The REST tests were modified to change this behavior.
Fixes#7863
This commit adds a new field to the response of the terms aggregation called
`sum_other_doc_count` which is equal to the sum of the doc counts of the buckets
that did not make it to the list of top buckets. It is typically useful to have
a sector called eg. `other` when using terms aggregations to build pie charts.
Example query and response:
```json
GET test/_search?search_type=count
{
"aggs": {
"colors": {
"terms": {
"field": "color",
"size": 3
}
}
}
}
```
```json
{
[...],
"aggregations": {
"colors": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 4,
"buckets": [
{
"key": "blue",
"doc_count": 65
},
{
"key": "red",
"doc_count": 14
},
{
"key": "brown",
"doc_count": 3
}
]
}
}
}
```
Close#8213
Add source_node and target_node fields to the recovery cat API. Also fixed and updated the documentation which was not complete concerning fields names.
Closes#8041
The MLT query has a lot of parameters. For example, a set of documents is
specified with either `like_text`, `ids` or `docs`, with at least one
parameter required. This commit groups all the document specification
parameters under one called `like`. The syntax is described below and could
easily be extended to allow for new means of specifying document input. The
`like_text`, `ids` and `docs` parameters are deprecated.
As a single piece text:
{
"query": {
"more_like_this": {
"like": "some text here"
}
}
}
As a single item:
{
"query": {
"more_like_this": {
"like": {
"_index": "imdb",
"_type": "movies",
"_id": "88247"
}
}
}
}
Or as a mixture of all:
{
"query": {
"more_like_this": {
"like": [
"Some random text ...",
{
"_index": "imdb",
"_type": "movies",
"_id": "88247"
},
{
"_index": "imdb",
"_type": "movies",
"doc": {
"title": "Document with an artificial title!"
}
}
]
}
}
}
Closes#8039
When reading the [rolling upgrade process](http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/setup-upgrade.html#rolling-upgrades), you can see that we wrote:
* disable allocation
* upgrade node1
* upgrade node2
* upgrade node3
* ...
* enable allocation
That won't work as after a node has been removed and restarted, no shard will be allocated anymore.
So closing node2 and remaining nodes, won't help to serve index and search request anymore.
We should write:
* disable allocation
* upgrade node1
* enable allocation
* wait for shards being recovered on node1
* disable allocation
* upgrade node2
* enable allocation
* wait for shards being recovered on node2
* disable allocation
* upgrade node3
* enable allocation
* wait for shards being recovered on node3
* disable allocation
* ...
* enable allocation
I think this documentation update should go in 1.3, 1.4, 1.x and master branches.
Closes#8218Closes#7973.
This commit adds the ability to enable / disable relocations
on an entire cluster or on individual indices for either:
* `primaries` - only primaries can rebalance
* `replica` - only replicas can rebalance
* `all` - everything can rebalance (default)
* `none` - all rebalances are disabled
similar to the allocation enable / disable functionality.
Relates to #7288
Query String query now supports a new `time_zone` option based on JODA time zones.
When using a range on date field, the time zone is applied.
```json
{
"query": {
"query_string": {
"text": "date:[2012 TO 2014]",
"timezone": "Europe/Paris"
}
}
}
```
Closes#7880.
Storing `_timestamp` by default means that under the default configuration, you
would have all the information you need in order to reindex into a different
index.
Close#8139
This is functionally equivalent to before, so there should be no
user-visible impact, except I added a NOTE in the docs warning about
the interaction of pagination and rescoring.
Closes#6232Closes#7707
This patch allows to create several netty bootstrap, each of which
listening on different ports. This will potentially allow for features
to listen to different network interfaces for node-to-node or node-to-client
communication and is also the base to listen to several interfaces, so that those
can be used to speed up cluster communication in the future.
Closes#8098
It is strange to provide an example with `"store" : false` when talking about possibility of enabling the field to be stored.
Broke the line in the mapping in two lines for better readability.
More verbose sentence above the mapping.
Closes#7894
cat/nodes currently does not report any details related to file descriptors. This adds the current number in use, the maximum number available as well as their ratio (percentage) to cat/nodes as hidden-by-default metrics. In addition, this also adds current heap usage (as a non-percentage of ts max) and ram usage (as a non-percerntage of its max) to allow tools to provide more granularity.
Closes#7652
This particular note was about fielddata filtering but could cause confusion
that fields that have doc values enabled cannot be used for filtering (as in
a `filtered_query`).
By letting the fetch phase understand the nested docs structure we can serve nested docs as hits.
The `top_hits` aggregation can because of this commit be placed in a `nested` or `reverse_nested` aggregation.
Closes#7164
This patch adds to `_cat/indices` information about memory usage per index by adding memory used by FieldData, IdCache, Percolate, Segments (memory, index writer, version map).
```
% curl 'localhost:9200/_cat/indices?v&h=i,tm'
i tm
wiki 8.1gb
test 30.5kb
user 1.9mb
```
Closes#7008
This commit does the following:
* Add the new API at the rest layer, being backed by the optimize API
with upgrade flag, and segments api to find upgrade status.
* Add `upgrade` flag to optimize API, and deprecate `force` flag (will
remove in master)
* Add test for both synchronous and async upgrade
closes#7884closes#7922
When the date format is defined in mapping, you can not use another format when querying using range date query or filter.
For example, this won't work:
```
DELETE /test
PUT /test/t/1
{
"date": "2014-01-01"
}
GET /test/_search
{
"query": {
"filtered": {
"filter": {
"range": {
"date": {
"from": "01/01/2014"
}
}
}
}
}
}
```
It causes:
```
Caused by: org.elasticsearch.ElasticsearchParseException: failed to parse date field [01/01/2014], tried both date format [dateOptionalTime], and timestamp number
```
It could be nice if we can support at query time another date format just like we support `analyzer` at search time on String fields.
Something like:
```
GET /test/_search
{
"query": {
"filtered": {
"filter": {
"range": {
"date": {
"from": "01/01/2014",
"format": "dd/MM/yyyy"
}
}
}
}
}
}
```
Same for queries:
```
GET /test/_search
{
"query": {
"range": {
"date": {
"from": "01/01/2014",
"format": "dd/MM/yyyy"
}
}
}
}
```
Closes#7189.
This change removes the script_type parameter form the Scripted Metric Aggregation and adds support for _file and _id suffixes to the init_script, map_script, combine_script and reduce_script parameters to make defining the source of the script consistent with the other APIs which use the ScriptService
This adds a `per_field_analyzer` parameter to the Term Vectors API, which
allows to override the default analyzer at the field. If the field already
stores term vectors, then they will be re-generated. Since the MLT Query uses
the Term Vectors API under its hood, this commits also adds the same ability
to the MLT Query, thereby allowing users to fine grain how each field item
should be processed and analyzed.
Closes#7801
By default term vectors are now realtime, as opposed to previously near
realtime. If they are not found in the index, they will be generated on the
fly. The document is fetched from the transaction log and treated as an
artificial document. One can set `realtime` parameter to `false` in order to
disable this functionality. This consequently makes the MLT query realtime in
fetching documents, as it previsouly used to be before switching from using
the multi get API to the mtv API.
Closes#7846
Previously, the only way to specify a document not present in the index was to
use `like_text`. This would usually lead to complex queries made of multiple
MLT queries per document field. This commit adds the ability to the MLT query
to directly specify documents not present in the index (artificial documents).
The syntax is similar to the Percolator API or to the Multi Term Vector API.
Closes#7725