My Elasticsearch cheatsheet with example usage via rest api (still a work-in-progress)
- Cluster Health
- Nodes Overview
- Indices Overview
- Cluster Maintenance
- Settings
- Ingest
- Mapping
- Close API
- Search
- Query
- Sort
- Aggregate
- Delete
- Snapshots
- https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html
- https://www.elastic.co/guide/en/elasticsearch/reference/current/docs.html
- https://www.elastic.co/blog/managing-time-based-indices-efficiently
- http://joelabrahamsson.com/elasticsearch-101/
- https://www.elastic.co/guide/en/elasticsearch/reference/current/getting-started.html
- https://chatbots.network/logstash-exclude-bots-from-result/
Resource:
$ curl -XGET http://elasticsearch:9200/_cluster/health?pretty
{
"cluster_name" : "docker-cluster",
"status" : "green",
"timed_out" : false,
"number_of_nodes" : 5,
"number_of_data_nodes" : 5,
"active_primary_shards" : 11,
"active_shards" : 22,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 0,
"delayed_unassigned_shards" : 0,
"number_of_pending_tasks" : 0,
"number_of_in_flight_fetch" : 0,
"task_max_waiting_in_queue_millis" : 0,
"active_shards_percent_as_number" : 100.0
}
$ curl -XGET 'http://elasticsearch:9200/_cluster/health?level=indices&pretty'
{
"cluster_name" : "swarm-elasticsearch",
"status" : "red",
"timed_out" : false,
"number_of_nodes" : 5,
"number_of_data_nodes" : 5,
"active_primary_shards" : 44,
"active_shards" : 44,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 64,
"delayed_unassigned_shards" : 0,
"number_of_pending_tasks" : 0,
"number_of_in_flight_fetch" : 0,
"task_max_waiting_in_queue_millis" : 0,
"active_shards_percent_as_number" : 40.74074074074074,
"indices" : {
"test" : {
"status" : "yellow",
"number_of_shards" : 5,
"number_of_replicas" : 1,
"active_primary_shards" : 5,
"active_shards" : 5,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 5
}
}
}
curl -XGET 'http://elasticsearch:9200/_cluster/health?level=shards&pretty'
{
"cluster_name" : "swarm-elasticsearch",
"status" : "red",
"timed_out" : false,
"number_of_nodes" : 5,
"number_of_data_nodes" : 5,
"active_primary_shards" : 44,
"active_shards" : 44,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 64,
"delayed_unassigned_shards" : 0,
"number_of_pending_tasks" : 0,
"number_of_in_flight_fetch" : 0,
"task_max_waiting_in_queue_millis" : 0,
"active_shards_percent_as_number" : 40.74074074074074,
"indices" : {
"test" : {
"status" : "yellow",
"number_of_shards" : 5,
"number_of_replicas" : 1,
"active_primary_shards" : 5,
"active_shards" : 5,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 5,
"shards" : {
"0" : {
"status" : "yellow",
"primary_active" : true,
"active_shards" : 1,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 1
},
"1" : {
"status" : "yellow",
"primary_active" : true,
"active_shards" : 1,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 1
},
"2" : {
"status" : "yellow",
"primary_active" : true,
"active_shards" : 1,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 1
},
"3" : {
"status" : "yellow",
"primary_active" : true,
"active_shards" : 1,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 1
},
"4" : {
"status" : "yellow",
"primary_active" : true,
"active_shards" : 1,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 1
}
}
}
}
}
$ curl -XGET http://elasticsearch:9200/_cat/nodes?v
ip heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
10.0.2.28 21 92 2 0.55 0.45 0.38 mdi - ea1q921
10.0.2.24 27 95 5 0.17 0.24 0.22 mdi - rNDYCtL
10.0.2.27 20 93 12 0.18 0.20 0.24 mdi - bDWFHuw
10.0.2.18 12 93 12 0.18 0.20 0.24 mdi * mstWlao
10.0.2.22 27 92 2 0.55 0.45 0.38 mdi - ifgr6ym
$ curl -XGET http://elasticsearch:9200/_cat/master?v
id host ip node
mstWlaoyTM69xhSt-_rZAA 10.0.2.18 10.0.2.18 mstWlao
View all your indices in your cluster:
$ curl -XGET http://elasticsearch:9200/_cat/indices?v
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open ruan-test CrQZB2L4SaaYCkvYPx5vUA 5 1 38 0 131.9kb 78.6kb
View one index:
$ curl -XGET 'http://127.0.0.1:9200/_cat/indices/index-name-2018.01.01?v'
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open index-name-2018.01.01 Nk8SMQvRSIaNm854bc3Zjg 5 1 395552 0 755.6mb 377.8mb
View a range of indices:
$ curl -XGET 'https://http://127.0.0.1:9200/_cat/indices/index-name-2018.01*?v'
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open index-name-2018.01.19 Vp1EBoeMQkS-a_upLzedhQ 5 1 1220 0 2.6mb 1.3mb
green open index-name-2018.01.17 hSJMzFJIQrePifCfgb1rOA 5 1 2875 0 3.8mb 1.9mb
View only the index name header:
$ curl -XGET 'http://127.0.0.1:9200/_cat/indices/*2018.03.*?v&h=index'
index
index-name-2018.03.01
index-name-2018.03.02
$ curl -XGET http://elasticsearch:9200/_cat/count?v
epoch timestamp count
1502288579 14:22:59 38
$ curl -XGET http://elasticsearch:9200/_cat/shards/ruan-test?v
index shard prirep state docs store ip node
ruan-test 3 r STARTED 10 6.9kb 10.0.2.28 ea1q921
ruan-test 3 p STARTED 10 6.9kb 10.0.2.24 rNDYCtL
ruan-test 1 r STARTED 9 22.7kb 10.0.2.28 ea1q921
ruan-test 1 p STARTED 9 22.7kb 10.0.2.18 mstWlao
ruan-test 4 r STARTED 3 6.6kb 10.0.2.22 ifgr6ym
ruan-test 4 p STARTED 3 6.6kb 10.0.2.18 mstWlao
ruan-test 2 p STARTED 12 29.2kb 10.0.2.27 bDWFHuw
ruan-test 2 r STARTED 12 3.9kb 10.0.2.24 rNDYCtL
ruan-test 0 p STARTED 4 12.9kb 10.0.2.22 ifgr6ym
ruan-test 0 r STARTED 4 12.9kb 10.0.2.27 bDWFHuw
$ curl -XGET http://elasticsearch:9200/_cat/allocation?v
shards disk.indices disk.used disk.avail disk.total disk.percent host ip node
4 60.6mb 15.7gb 29.9gb 45.7gb 34 10.0.2.24 10.0.2.24 rNDYCtL
4 48.3kb 16.7gb 28.9gb 45.7gb 36 10.0.2.18 10.0.2.18 mstWlao
4 248.8kb 15.5gb 30.1gb 45.7gb 34 10.0.2.28 10.0.2.28 ea1q921
5 54.6mb 16.7gb 28.9gb 45.7gb 36 10.0.2.27 10.0.2.27 bDWFHuw
5 3.1mb 15.5gb 30.1gb 45.7gb 34 10.0.2.22 10.0.2.22 ifgr6ym
This will move shards from the mentioned node
$ curl -XPUT 'localhost:9200/_cluster/settings?pretty' -d'
{
"transient" : {
"cluster.routing.allocation.exclude._ip" : "10.0.0.1"
}
}
'
At the moment one of the nodes were down, and up again:
$ curl -XGET http://127.0.0.1:9200/_cat/allocation?v
shards disk.indices disk.used disk.avail disk.total disk.percent host ip node
290 54.1mb 1gb 20mb 1gb 98 10.79.2.193 10.79.2.193 es01
151 43.5mb 1gb 11.9gb 13gb 8 10.79.3.171 10.79.3.171 es02
139 UNASSIGNED
$ curl -XGET http://127.0.0.1:9200/_cat/recovery?v
index shard time type stage source_host target_host repository snapshot files files_percent bytes bytes_percent total_files total_bytes translog translog_percent total_translog
sysadmins-2017.06.19 0 1512 replica done 10.79.2.193 10.79.3.171 n/a n/a 31 100.0% 340020 100.0% 31 340020 0 100.0% 0
sysadmins-2017.06.19 0 7739 store done 10.79.2.193 10.79.2.193 n/a n/a 0 100.0% 0 100.0% 31 340020 0 100.0% 0
sysadmins-2017.06.19 1 2592 relocation done 10.79.2.193 10.79.3.171 n/a n/a 13 100.0% 246229 100.0% 13 246229 0 100.0% 0
sysadmins-2017.06.19 1 613 replica done 10.79.3.171 10.79.2.193 n/a n/a 0 0.0% 0 0.0% 0 0 0 100.0% 0
$ curl -XGET http://127.0.0.1:9200/_cat/pending_tasks?v
insertOrder timeInQueue priority source
1736 1.8s URGENT shard-started ([sysadmins-2017.06.02][2], node[WR3y31g1TnuufpNyrJnQtg], [R], v[91], s[INITIALIZING], a[id=wVTDn4nFSKKxvi07cU0uCg], unassigned_info[[reason=CLUSTER_RECOVERED], at[2017-08-11T07:50:56.550Z]]), reason [after recovery (replica) from node [{es01}{6ND8sZ_rTqaL42VdlxyW7Q}{10.79.2.193}{10.79.2.193:9300}]]
1737 1.3s URGENT shard-started ([sysadmins-2017.06.02][3], node[WR3y31g1TnuufpNyrJnQtg], [R], v[91], s[INITIALIZING], a[id=JmrtwtYURMyQF6LspeJXLg], unassigned_info[[reason=CLUSTER_RECOVERED], at[2017-08-11T07:50:56.550Z]]), reason [after recovery (replica) from node [{es01}{6ND8sZ_rTqaL42VdlxyW7Q}{10.79.2.193}{10.79.2.193:9300}]]
$ curl -XGET http://127.0.0.1:9200/_cache/clear
{"_shards":{"total":21,"successful":15,"failed":0}}
Search Timeout:
Global Search Timeout, that applies to all search queries across the entire cluster -> search.default_search_timeout:
PUT /_cluster/settings
{
"persistent" : {
"search.default_search_timeout" : "50"
}
}
When you create an Index, 5 Primary Shards and 1 Replica Shard will assigned to the Index by Default.
$ curl -XPUT http://elasticsearch:9200/my2ndindex
{"acknowledged":true,"shards_acknowledged":true}
To verify the behavior:
curl -XGET -u http://elasticsearch:9200/_cat/indices?v
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open my2ndindex V32G9IOoTF6uq0DuNUIAMA 5 1 0 0 1.2kb 650b
green open ruan-test CrQZB2L4SaaYCkvYPx5vUA 5 1 38 0 131.9kb 78.6kb
From here on, we can increase the number of replica shards, but NOT the primary shards. You can ONLY set the number primary shards on index creation.
While having 5 prmary shards and 1 replica shard, let's have a look at it:
$ curl -XGET http://elasticsearch:9200/_cat/shards/my2ndindex?v
index shard prirep state docs store ip node
my2ndindex 3 p STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 3 r STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 1 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 1 p STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 4 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 4 p STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 2 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 2 p STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 0 p STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 0 r STARTED 0 130b 10.0.2.24 rNDYCtL
Let's change the replica shard number to 2, meaning each primary shard will have 2 replica shards:
$ curl -XPUT http://elasticsearch:9200/my2ndindex/_settings -d '{"settings": {"index": {"number_of_replicas": 2}}}'
{"acknowledged":true}
Let's have a look at the shard info after we have increased the replica shard number:
$ curl -XGET http://elasticsearch:9200/_cat/shards/my2ndindex?v
index shard prirep state docs store ip node
my2ndindex 3 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 3 p STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 3 r STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 2 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 2 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 2 p STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 4 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 4 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 4 p STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 1 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 1 p STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 1 r STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 0 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 0 p STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 0 r STARTED 0 130b 10.0.2.24 rNDYCtL
Create a Index with Default Settings:
$ curl -XPUT -H 'Content-Type: application/json' 'http://127.0.0.1:9200/ruan-test-2018.03.12'
View the settings of the created index:
$ curl -XGET 'http://127.0.0.1:9200/ruan-test-2018.03.12/_settings?pretty'
{
"ruan-test-2018.03.12" : {
"settings" : {
"index" : {
"creation_date" : "1520929659349",
"number_of_shards" : "5",
"number_of_replicas" : "1",
"uuid" : "EwGz6y7XQkK0ZI08u8qdrQ",
"version" : {
"created" : "6000199"
},
"provided_name" : "ruan-test-2018.03.12"
}
}
}
}
Remember that primary shard number can only be set on index creation. Change the settings of the index, let's update the index to: 2 replica shards, and the total_fields limit to: 2000
$ curl -XPUT -H 'Content-Type: application/json' 'http://127.0.0.1:9200/ruan-test-2018.03.12/_settings' -d '{"number_of_replicas": 0, "index.mapping.total_fields.limit": 2000}'
View the changes:
$ curl -XGET 'http://127.0.0.1:9200/ruan-test-2018.03.12/_settings?pretty'
{
"ruan-test-2018.03.12" : {
"settings" : {
"index" : {
"mapping" : {
"total_fields" : {
"limit" : "2000"
}
},
"number_of_shards" : "5",
"provided_name" : "ruan-test-2018.03.12",
"creation_date" : "1520929659349",
"number_of_replicas" : "0",
"uuid" : "EwGz6y7XQkK0ZI08u8qdrQ",
"version" : {
"created" : "6000199"
}
}
}
}
}
Now, to set the settings on Index Creation:
$ curl -XPUT -H 'Content-Type: application/json' 'http://127.0.0.1:9200/ruan-test-2018.03.13' -d '{"settings": {"number_of_replicas": 1, "number_of_shards": 2, "index.mapping.total_fields.limit": 2000}}'
Verifying our settings:
$ curl -XGET 'http://127.0.0.1:9200/ruan-test-2018.03.13/_settings?pretty'
{
"ruan-test-2018.03.13" : {
"settings" : {
"index" : {
"mapping" : {
"total_fields" : {
"limit" : "2000"
}
},
"number_of_shards" : "2",
"provided_name" : "ruan-test-2018.03.13",
"creation_date" : "1520929638792",
"number_of_replicas" : "1",
"uuid" : "hEY8HrlRTFuiYLwKVDAraQ",
"version" : {
"created" : "6000199"
}
}
}
}
}
Viewing our indexes:
$ curl -XGET 'http://127.0.0.1:9200/_cat/indices/ruan-test-*?v'
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open ruan-test-2018.03.12 EwGz6y7XQkK0ZI08u8qdrQ 5 1 2 0 15.7kb 7.8kb
green open ruan-test-2018.03.13 hEY8HrlRTFuiYLwKVDAraQ 2 1 0 0 932b 466b
Let's ingest one docuemnt into Elasticsearch, and in this case we will specify the document id as 1
$ curl -XPUT http://elasticsearch:9200/my2ndindex/docs/1 -d '{"identity": {"name": "ruan", "surname": "bekker"}}'
{"_index":"my2ndindex","_type":"docs","_id":"1","_version":1,"result":"created","_shards":{"total":3,"successful":3,"failed":0},"created":true}
View the index info:
$ curl -XGET 'http://elasticsearch:9200/_cat/indices/my*?v'
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open my2ndindex V32G9IOoTF6uq0DuNUIAMA 5 2 1 0 13kb 4.3kb
View the Shard information on our Index:
$ curl -XGET http://elasticsearch:9200/_cat/shards/my2ndindex?v
index shard prirep state docs store ip node
my2ndindex 3 r STARTED 1 3.9kb 10.0.2.28 ea1q921
my2ndindex 3 p STARTED 1 3.9kb 10.0.2.22 ifgr6ym
my2ndindex 3 r STARTED 1 3.9kb 10.0.2.27 bDWFHuw
my2ndindex 1 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 1 p STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 1 r STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 4 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 4 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 4 p STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 2 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 2 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 2 p STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 0 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 0 p STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 0 r STARTED 0 130b 10.0.2.24 rNDYCtL
In elasticsearch, a replica shard of its primary shard, will never appear on the same node as the other shards.
As we have 5 nodes in our cluster, meaning if we create 5 replica shards, our index will consist of 5 primary shards, each primary shard having 5 replica shards, as a result in a yellow status es cluster.
The reasoning for this is that if we take primary shard id 0:
- primary shard - node 1
- replica shard 1 - node 2
- replica shard 2 - node 3
- replica shard 3 - node 4
- replica shard 4 - node 5
- replica shard 5 - UNASSIGNED
The 5th replica shard for the mentioned primary shard will be unassigned, as there is no node available where the primary shard's replicas already reside on.
To get the status back to green:
- add a data node
- reduce the replica number
Increase the replica shards to 5:
$ curl -XPUT http://elasticsearch:9200/my2ndindex/_settings -d '{"settings": {"number_of_replicas": 5}}'
{"acknowledged":true}
Verify the Indices Overview:
$ curl -XGET 'http://elasticsearch:9200/_cat/indices/my*?v'
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
yellow open my2ndindex V32G9IOoTF6uq0DuNUIAMA 5 5 1 0 22.2kb 4.4kb
We can see that we have a YELLOW status, for more info let's have a look at the shards overview:
$ curl -XGET http://elasticsearch:9200/_cat/shards/my2ndindex?v
index shard prirep state docs store ip node
my2ndindex 3 r STARTED 1 3.9kb 10.0.2.28 ea1q921
my2ndindex 3 p STARTED 1 3.9kb 10.0.2.22 ifgr6ym
my2ndindex 3 r STARTED 1 3.9kb 10.0.2.18 mstWlao
my2ndindex 3 r STARTED 1 3.9kb 10.0.2.27 bDWFHuw
my2ndindex 3 r STARTED 1 3.9kb 10.0.2.24 rNDYCtL
my2ndindex 3 r UNASSIGNED
my2ndindex 2 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 2 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 2 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 2 r STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 2 p STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 2 r UNASSIGNED
my2ndindex 4 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 4 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 4 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 4 p STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 4 r STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 4 r UNASSIGNED
my2ndindex 1 r STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 1 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 1 p STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 1 r STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 1 r STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 1 r UNASSIGNED
my2ndindex 0 p STARTED 0 130b 10.0.2.28 ea1q921
my2ndindex 0 r STARTED 0 130b 10.0.2.22 ifgr6ym
my2ndindex 0 r STARTED 0 130b 10.0.2.18 mstWlao
my2ndindex 0 r STARTED 0 130b 10.0.2.27 bDWFHuw
my2ndindex 0 r STARTED 0 130b 10.0.2.24 rNDYCtL
my2ndindex 0 r UNASSIGNED
Also, when we look at the allocation api, we can see that we have 5 shards that is unassigned:
$ curl -XGET http://elasticsearch:9200/_cat/allocation?v
shards disk.indices disk.used disk.avail disk.total disk.percent host ip node
9 59.2kb 16.8gb 28.8gb 45.7gb 36 10.0.2.18 10.0.2.18 mstWlao
10 61.2mb 16.8gb 28.8gb 45.7gb 36 10.0.2.27 10.0.2.27 bDWFHuw
9 275.5kb 15.6gb 30.1gb 45.7gb 34 10.0.2.28 10.0.2.28 ea1q921
9 64.2mb 15.7gb 29.9gb 45.7gb 34 10.0.2.24 10.0.2.24 rNDYCtL
10 3.4mb 15.6gb 30.1gb 45.7gb 34 10.0.2.22 10.0.2.22 ifgr6ym
5 UNASSIGNED
Let's create an index with 10 primary shards and a replica count of 2:
$ curl -XPUT http://elasticsearch:9200/my3rdindex -d '{"settings": {"index": {"number_of_shards": 10, "number_of_replicas": 2}}}'
{"acknowledged":true,"shards_acknowledged":true}/ #
Verify:
$ curl -XGET 'http://elasticsearch:9200/_cat/indices/my*?v'
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
green open my3rdindex ljovpse0RzCB5INxUBLBYg 10 2 0 0 2.4kb 650b
green open my2ndindex V32G9IOoTF6uq0DuNUIAMA 5 2 1 0 13.3kb 4.4kb
View the shard info on our index:
$ curl -XGET http://elasticsearch:9200/_cat/shards/my3rdindex?v
index shard prirep state docs store ip node
my3rdindex 8 r STARTED 0 130b 10.0.2.28 ea1q921
my3rdindex 8 p STARTED 0 130b 10.0.2.22 ifgr6ym
my3rdindex 8 r STARTED 0 130b 10.0.2.24 rNDYCtL
my3rdindex 7 r STARTED 0 130b 10.0.2.18 mstWlao
my3rdindex 7 r STARTED 0 130b 10.0.2.27 bDWFHuw
my3rdindex 7 p STARTED 0 130b 10.0.2.24 rNDYCtL
my3rdindex 4 r STARTED 0 130b 10.0.2.28 ea1q921
my3rdindex 4 r STARTED 0 130b 10.0.2.22 ifgr6ym
my3rdindex 4 p STARTED 0 130b 10.0.2.27 bDWFHuw
my3rdindex 2 r STARTED 0 130b 10.0.2.18 mstWlao
my3rdindex 2 r STARTED 0 130b 10.0.2.27 bDWFHuw
my3rdindex 2 p STARTED 0 130b 10.0.2.24 rNDYCtL
my3rdindex 5 p STARTED 0 130b 10.0.2.28 ea1q921
my3rdindex 5 r STARTED 0 130b 10.0.2.22 ifgr6ym
my3rdindex 5 r STARTED 0 130b 10.0.2.27 bDWFHuw
my3rdindex 6 r STARTED 0 130b 10.0.2.28 ea1q921
my3rdindex 6 p STARTED 0 130b 10.0.2.18 mstWlao
my3rdindex 6 r STARTED 0 130b 10.0.2.27 bDWFHuw
my3rdindex 1 r STARTED 0 130b 10.0.2.28 ea1q921
my3rdindex 1 r STARTED 0 130b 10.0.2.22 ifgr6ym
my3rdindex 1 p STARTED 0 130b 10.0.2.18 mstWlao
my3rdindex 3 p STARTED 0 130b 10.0.2.22 ifgr6ym
my3rdindex 3 r STARTED 0 130b 10.0.2.18 mstWlao
my3rdindex 3 r STARTED 0 130b 10.0.2.24 rNDYCtL
my3rdindex 9 r STARTED 0 130b 10.0.2.22 ifgr6ym
my3rdindex 9 p STARTED 0 130b 10.0.2.27 bDWFHuw
my3rdindex 9 r STARTED 0 130b 10.0.2.24 rNDYCtL
my3rdindex 0 p STARTED 0 130b 10.0.2.28 ea1q921
my3rdindex 0 r STARTED 0 130b 10.0.2.18 mstWlao
my3rdindex 0 r STARTED 0 130b 10.0.2.24 rNDYCtL
Take note, with the configuration as above your index that you created will have 30 shards in your cluster:
$ curl -s -XGET 'http://elasticsearch:9200/_cat/shards/my3rdindex?v' | grep -v 'node' | wc -l
30
Number of Primary Shards per Node:
$ curl -s -XGET 'http://elasticsearch:9200/_cat/shards/my3rdindex?v' | grep 'p STARTED' | awk '{print $7}' | sort | uniq -c
2 10.0.2.18
3 10.0.2.22
1 10.0.2.24
1 10.0.2.27
3 10.0.2.28
In Elasticsearch we have Indices, 'Types, and Documents`. In a Relational Database you can think of it like, Database, Tables, Records:
- Indices => Databases
- Types => Tables
- Documents => Records
When you do a PUT request, you need to specify the id of the document:
- "_id": 1
- "_id": "james"
Let's ingest a simple document with a random string as the document id:
$ curl -XPUT http://elasticsearch:9200/people/users/abcd -d '{"name", "james", "age": 28}'
{"_index":"people","_type":"users","_id":"abcd","_version":1,"result":"created","_shards":{"total":2,"successful":2,"failed":0},"created":true}
If we have to repeat the same request with the same id, the docuement will be overwritten, ES will create a new document if
the id is not present.
$ curl -XPUT http://elasticsearch:9200/people/users/abcd -d '{"name": "james", "age": 28}'
{"_index":"people","_type":"users","_id":"abcd","_version":2,"result":"updated","_shards":{"total":2,"successful":2,"failed":0},"created":false}
When you do a POST request, the service will automatically assign a id for your docuemt:
$ curl -XPOST http://elasticsearch:9200/people/users/ -d '{"name": "susan", "age: 30}'
{"_index":"people","_type":"users","_id":"AV3H_9q6AH1phg1wCfDW","_version":1,"result":"created","_shards":{"total":2,"successful":2,"failed":0},"created":true}
Our Sample Data: info.json:
{"index":{"_index":"info","_type":"feed","_id":1}}
{"user_id":james4,"handle_name":"james","category":"sport","socialmedia_src":"twitter","text":"manchester united lost","country":"south africa"}
{"index":{"_index":"info","_type":"feed","_id":2}}
{"user_id":pete09,"handle_name":"pete","category":"politics","socialmedia_src":"facebook","text":"new mayor selected","country":"new zealand"}
Ingest using the Bulk Api:
curl -XPOST 'http://elasticsearch:9200/info/_bulk?pretty' --data-binary @info.json
Check if a field exisists in your mapping:
$ curl -XGET 'http://127.0.0.1:9200/index-name-2018.03.01/_mapping/docs/field/company?pretty'
{
"index-name-2018.03.01" : {
"mappings" : {
"docs" : {
"company" : {
"full_name" : "company",
"mapping" : {
"company" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
}
}
}
}
}
$ curl -XPOST http://elasticsearch:9200/people/_close
{"acknowledged":true}
Trying to ingest while the index is closed:
$ curl -XPOST http://elasticsearch:9200/people/users/ -d '{"name": "susan", "age": 30}'
{"error":{"root_cause":[{"type":"index_closed_exception","reason":"closed","index_uuid":"Yt31-EAwTOa-a6duElYRsQ","index":"people"}],"type":"index_closed_exception","reason":"closed","index_uuid":"Yt31-EAwTOa-a6duElYRsQ","index":"people"},"status":403}
$ curl -XPOST http://elasticsearch:9200/people/_open
We can get the document by passing the document id:
$ curl -XGET http://elasticsearch:9200/people/users/abcd?pretty
{
"_index" : "people",
"_type" : "users",
"_id" : "abcd",
"_version" : 2,
"found" : true,
"_source" : {
"name" : "james",
"age" : 28
}
}
$ curl -XGET 'http://elasticsearch:9200/people/users/_search?q=age:28&explain&pretty'
{
"took" : 73,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : 1.0,
"hits" : [
{
"_shard" : "[people][2]",
"_node" : "ea1q921TQWyNiyiRXzfXZQ",
"_index" : "people",
"_type" : "users",
"_id" : "abcd",
"_score" : 1.0,
"_source" : {
"name" : "james",
"age" : 28
},
"_explanation" : {
"value" : 1.0,
"description" : "age:[28 TO 28], product of:",
"details" : [
{
"value" : 1.0,
"description" : "boost",
"details" : [ ]
},
{
"value" : 1.0,
"description" : "
Norm",
"details" : [ ]
}
]
}
}
]
}
}
Lets do a search on our index:
$ curl -XGET http://elasticsearch:9200/people/_search?pretty
{
"took" : 29,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 1.0,
"hits" : [
{
"_index" : "people",
"_type" : "users",
"_id" : "abcd",
"_score" : 1.0,
"_source" : {
"name" : "james",
"age" : 28
}
},
{
"_index" : "people",
"_type" : "users",
"_id" : "AV3H_9q6AH1phg1wCfDW",
"_score" : 1.0,
"_source" : {
"name" : "susan",
"age" : 30
}
}
]
}
}
By default the Search API returns 10 items, which can be changed using size
curl -XGET 'http://elasticsearch:9200/shakespeare/_search?size=3&pretty'
{
"took" : 25,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 111396,
"max_score" : 1.0,
"hits" : [
{
"_index" : "shakespeare",
"_type" : "act",
"_id" : "0",
"_score" : 1.0,
"_source" : {
"line_id" : 1,
"play_name" : "Henry IV",
"speech_number" : "",
"line_number" : "",
"speaker" : "",
"text_entry" : "ACT I"
}
},
{
"_index" : "shakespeare",
"_type" : "line",
"_id" : "14",
"_score" : 1.0,
"_source" : {
"line_id" : 15,
"play_name" : "Henry IV",
"speech_number" : 1,
"line_number" : "1.1.12",
"speaker" : "KING HENRY IV",
"text_entry" : "Did lately meet in the intestine shock"
}
},
{
"_index" : "shakespeare",
"_type" : "line",
"_id" : "19",
"_score" : 1.0,
"_source" : {
"line_id" : 20,
"play_name" : "Henry IV",
"speech_number" : 1,
"line_number" : "1.1.17",
"speaker" : "KING HENRY IV",
"text_entry" : "The edge of war, like an ill-sheathed knife,"
}
}
]
}
}
Query our index for people with the age of 28:
curl -XGET 'http://elasticsearch:9200/people/_search?q=age:30&pretty'
{
"took" : 25,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : 1.0,
"hits" : [
{
"_index" : "people",
"_type" : "users",
"_id" : "AV3H_9q6AH1phg1wCfDW",
"_score" : 1.0,
"_source" : {
"name" : "susan",
"age" : 30
}
}
]
}
}
$ curl -XGET http://127.0.0.1:9200/scrape-sysadmins/_search?pretty -d '
{
"query": {
"term": {
"title": "traefik"
}
},
"size": 2
}
'
$ curl -XGET http://127.0.0.1:9200/scrape-sysadmins/_search?pretty -d '
{
"query": {
"match": {
"title": "traefik"
}
},
"size": 10
}
'
- Check if field exists in index:
$ curl http://127.0.0.1:9200/test4/_search?pretty -d '
{
"query": {
"bool": {
"must": [{
"exists": {
"field": "name"
}
}]
}
}
}'
{
"took" : 7,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : 1.0,
"hits" : [
{
"_index" : "test4",
"_type" : "docs",
"_id" : "2",
"_score" : 1.0,
"_source" : {
"id" : "2",
"name" : "ruan"
}
}
]
}
}
Match:
{
"query": {
"match": {
"title": "something"
}
}
}
Multi match with boost on title:
# ^ boosts the score 4 times on title
{
"query": {
"multi_match": {
"query": "something",
"fields": ["title^4", "plot"]
}
}
}
Match phrase:
{
"query": {
"match_phrase": {
"title": "somethings got to give"
}
}
}
Common terms:
{
"query": {
"common": {
"title": {
"query": "the something word"
}
}
}
}
Query string:
{
"query": {
"query_string": {
"query": "the something AND (gives OR gave)"
}
}
}
Simple query string:
{
"query": {
"simple_query_string": {
"query": "\"give got to\"~4 | *thing~2",
"fields": ["title"]
}
}
}
More info on above:
+ -> Acts as the AND operator
| -> Acts as the OR operator
* -> Acts as a wildcard.
"" -> Wraps several terms into a phrase.
() -> Wraps a clause for precedence.
~n -> When used after a term (e.g. thign~3), sets fuzziness. When used after a phrase, sets slop. See Options.
- -> Negates the term.
Match all:
{
"query": {
"match_all": {}
}
}
Match none:
{
"query": {
"match_none": {}
}
}
Sort Per Field:
Ingest a couple of example documents:
$ curl -XPUT http://elasticsearch:9200/products/items/1 -d '{"product": "chocolate", "price": [20, 4]}'
$ curl -XPUT http://elasticsearch:9200/products/items/2 -d '{"product": "apples", "price": [28, 6]}'
$ curl -XPUT http://elasticsearch:9200/products/items/3 -d '{"product": "bananas", "price": [28, 22, 23, 20]}'
$ curl -XPUT http://elasticsearch:9200/products/items/4 -d '{"product": "chips", "price": [14, 24, 22, 12]}'
Run a Sort Query on the term bananas, and show the average price. We can also use min, max, avg, sum:
$ curl -XPOST http://elasticsearch:9200/products/_search?pretty -d '
{
"query" : {
"term" : {
"product" : "bananas"
}
},
"sort" : [{
"price" : {
"order" : "asc",
"mode" : "avg"
}
}]
}'
{
"took" : 9,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : null,
"hits" : [
{
"_index" : "products",
"_type" : "items",
"_id" : "3",
"_score" : null,
"_source" : {
"product" : "bananas",
"price" : [
28,
22,
23,
20
]
},
"sort" : [
23
]
}
]
}
}
Running the same, but wanting to see the sum of all the prices:
$ curl -XPOST http://elasticsearch:9200/products/_search?pretty -d '
{
"query" : {
"term" : {
"product" : "bananas"
}
},
"sort" : [{
"price" : {
"order" : "asc",
"mode" : "sum"
}
}]
}'
{
"took" : 34,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : null,
"hits" : [
{
"_index" : "products",
"_type" : "items",
"_id" : "3",
"_score" : null,
"_source" : {
"product" : "bananas",
"price" : [
28,
22,
23,
20
]
},
"sort" : [
93
]
}
]
}
}
References:
$ curl -XDELETE http://elasticsearch:9200/myindex
We would like to delete all documents that has "os_name": "Windows 10"
curl -XPOST 'http://elasticsearch:9200/weblogs/_delete_by_query?pretty' -d '
{
"query": {
"match": {
"os_name": "Windows 10"
}
}
}'
{
"took" : 1217,
"timed_out" : false,
"total" : 48,
"deleted" : 48,
"batches" : 1,
"version_conflicts" : 0,
"noops" : 0,
"retries" : {
"bulk" : 0,
"search" : 0
},
"throttled_millis" : 0,
"requests_per_second" : -1.0,
"throttled_until_millis" : 0,
"failures" : [ ]
}
If routing is provided, then the routing is copied to the scroll query, limiting the process to the shards that match that routing value:
$ curl -XPOST 'http://elasticsearch:9200/people/_delete_by_query?routing=1
{
"query": {
"range" : {
"age" : {
"gte" : 10
}
}
}
}
By default _delete_by_query uses scroll batches of 1000. You can change the batch size with the scroll_size URL parameter:
$ curl -XPOST 'http://elasticsearch:9200/weblogs/_delete_by_query?scroll_size=5000
{
"query": {
"term": {
"category": "docker"
}
}
}
$ curl -XGET 'elasticsearch:9200/_tasks?detailed=true&actions=*/delete/byquery&pretty'
{
"nodes" : {
"s5A2CoRWrwKf512z6NEscF" : {
"name" : "r4A5VoT",
"transport_address" : "127.0.0.1:9300",
"host" : "127.0.0.1",
"ip" : "127.0.0.1:9300",
"attributes" : {
"testattr" : "test",
"portsfile" : "true"
},
"tasks" : {
"s5A2CoRWrwKf512z6NEscF" : {
"node" : "s5A2CoRWrwKf512z6NEscF",
"id" : 36619,
"type" : "transport",
"action" : "indices:data/write/delete/byquery",
"status" : {
"total" : 6154,
"updated" : 0,
"created" : 0,
"deleted" : 3500,
"batches" : 36,
"version_conflicts" : 0,
"noops" : 0,
"retries": 0,
"throttled_millis": 0
},
"description" : ""
}
}
}
}
}
Setup the S3 Snapshot Repository
List the Snapshot Repositories:
$ curl -XGET 'http://127.0.0.1:9200/_cat/repositories?v'
id type
foo-bacups s3
bar-backups s3
View the Snapshot Repository:
$ curl -XGET 'http://elasticsearch:9200/_snapshot/bar-backups?pretty'
{
"bar-backups" : {
"type" : "s3",
"settings" : {
"bucket" : "my-es-snapshot-bucket",
"region" : "eu-west-1",
"role_arn" : "arn:aws:iam::0123456789012:role/elasticsearch-snapshot-role"
}
}
}
Create a Snapshot named mysnapshot_ruan-test-2018-05-24_1 of the index: ruan-test-2018-05-24 and return the exit when the snapshot is done:
$ curl -XPUT -H 'Content-Type: application/json' \
'http://elasticsearch:9200/_snapshot/bar-backups/mysnapshot_ruan-test-2018-05-24_1?wait_for_completion=true&pretty=true' -d '
{
"indices": "ruan-test-2018-05-24",
"ignore_unavailable": true,
"include_global_state": false
}
'
{
"snapshot" : {
"snapshot" : "mysnapshot_ruan-test-2018-05-24_1",
"uuid" : "YRTE5922QCeqyEaMxPqb1A",
"version_id" : 6000199,
"version" : "6.0.1",
"indices" : [ "ruan-test-2018-05-24" ],
"state" : "SUCCESS",
"start_time" : "2018-05-25T13:20:11.497Z",
"start_time_in_millis" : 1527254411497,
"end_time" : "2018-05-25T13:20:11.886Z",
"end_time_in_millis" : 1527254411886,
"duration_in_millis" : 389,
"failures" : [ ],
"shards" : {
"total" : 5,
"failed" : 0,
"successful" : 5
}
}
}
Verify the Snapshot:
$ curl -XGET 'http://elasticsearch:9200/_cat/snapshots/bar-backups?v&s=id'
id status start_epoch start_time end_epoch end_time duration indices successful_shards failed_shards total_shards
mysnapshot_ruan-test-2018-05-24_1 SUCCESS 1527254411 06:20:11 1527254411 06:20:11 389ms 1 5 0 5
Get the Metadata of the Snapshot:
$ curl -XGET 'http://elasticsearch:9200/_snapshot/bar-backups/mysnapshot_ruan-test-2018-05-24_1?pretty'
{
"snapshots" : [ {
"snapshot" : "mysnapshot_ruan-test-2018-05-24_1",
"uuid" : "YRTE5922QCeqyEaMxPqb1A",
"version_id" : 6000199,
"version" : "6.0.1",
"indices" : [ "ruan-test-2018-05-24" ],
"state" : "SUCCESS",
"start_time" : "2018-05-25T13:20:11.497Z",
"start_time_in_millis" : 1527254411497,
"end_time" : "2018-05-25T13:20:11.886Z",
"end_time_in_millis" : 1527254411886,
"duration_in_millis" : 389,
"failures" : [ ],
"shards" : {
"total" : 5,
"failed" : 0,
"successful" : 5
}
} ]
}
Inspect the Snapshot on S3:
$ aws s3 --profile es ls s3://my-es-snapshot-bucket/ | grep VRTF2942QCeqyEaMxPgb1B
2018-05-25 15:20:12 90 meta-VRTF2942QCeqyEaMxPgb1B.dat
2018-05-25 15:20:12 258 snap-VRTF2942QCeqyEaMxPgb1B.dat
Execute the Restore:
$ curl -XPOST -H 'Content-Type: application/json' 'http://elasticsearch:9200/_snapshot/bar-backups/mysnapshot_ruan-test-2018-05-24_1/_restore -d '
{
"indices": "ruan-test-2018-05-24",
"ignore_unavailable": true,
"include_global_state": false,
"rename_pattern": "index_(.+)",
"rename_replacement": "restored_index_$1"
}
'
or leave out the body for normal restore