IP field type
editIP field type
editAn ip
field can index/store either IPv4 or
IPv6 addresses.
resp = client.indices.create( index="my-index-000001", mappings={ "properties": { "ip_addr": { "type": "ip" } } }, ) print(resp) resp1 = client.index( index="my-index-000001", id="1", document={ "ip_addr": "192.168.1.1" }, ) print(resp1) resp2 = client.search( index="my-index-000001", query={ "term": { "ip_addr": "192.168.0.0/16" } }, ) print(resp2)
response = client.indices.create( index: 'my-index-000001', body: { mappings: { properties: { ip_addr: { type: 'ip' } } } } ) puts response response = client.index( index: 'my-index-000001', id: 1, body: { ip_addr: '192.168.1.1' } ) puts response response = client.search( index: 'my-index-000001', body: { query: { term: { ip_addr: '192.168.0.0/16' } } } ) puts response
const response = await client.indices.create({ index: "my-index-000001", mappings: { properties: { ip_addr: { type: "ip", }, }, }, }); console.log(response); const response1 = await client.index({ index: "my-index-000001", id: 1, document: { ip_addr: "192.168.1.1", }, }); console.log(response1); const response2 = await client.search({ index: "my-index-000001", query: { term: { ip_addr: "192.168.0.0/16", }, }, }); console.log(response2);
PUT my-index-000001 { "mappings": { "properties": { "ip_addr": { "type": "ip" } } } } PUT my-index-000001/_doc/1 { "ip_addr": "192.168.1.1" } GET my-index-000001/_search { "query": { "term": { "ip_addr": "192.168.0.0/16" } } }
You can also store ip ranges in a single field using an ip_range data type.
Parameters for ip
fields
editThe following parameters are accepted by ip
fields:
-
doc_values
-
Should the field be stored on disk in a column-stride fashion, so that it
can later be used for sorting, aggregations, or scripting? Accepts
true
(default) orfalse
. -
ignore_malformed
-
If
true
, malformed IP addresses are ignored. Iffalse
(default), malformed IP addresses throw an exception and reject the whole document. Note that this cannot be set if thescript
parameter is used. -
index
-
Should the field be quickly searchable? Accepts
true
(default) andfalse
. Fields that only havedoc_values
enabled can still be queried using term or range-based queries, albeit slower. -
null_value
-
Accepts an IPv4 or IPv6 value which is substituted for any explicit
null
values. Defaults tonull
, which means the field is treated as missing. Note that this cannot be set if thescript
parameter is used. -
on_script_error
-
Defines what to do if the script defined by the
script
parameter throws an error at indexing time. Acceptsreject
(default), which will cause the entire document to be rejected, andignore
, which will register the field in the document’s_ignored
metadata field and continue indexing. This parameter can only be set if thescript
field is also set. -
script
- If this parameter is set, then the field will index values generated by this script, rather than reading the values directly from the source. If a value is set for this field on the input document, then the document will be rejected with an error. Scripts are in the same format as their runtime equivalent, and should emit strings containing IPv4 or IPv6 formatted addresses.
-
store
-
Whether the field value should be stored and retrievable separately from
the
_source
field. Acceptstrue
orfalse
(default). -
time_series_dimension
-
(Optional, Boolean)
Marks the field as a time series dimension. Defaults to
false
.The
index.mapping.dimension_fields.limit
index setting limits the number of dimensions in an index.Dimension fields have the following constraints:
-
The
doc_values
andindex
mapping parameters must betrue
. - Field values cannot be an array or multi-value.
-
The
Querying ip
fields
editThe most common way to query ip addresses is to use the
CIDR
notation: [ip_address]/[prefix_length]
. For instance:
resp = client.search( index="my-index-000001", query={ "term": { "ip_addr": "192.168.0.0/16" } }, ) print(resp)
response = client.search( index: 'my-index-000001', body: { query: { term: { ip_addr: '192.168.0.0/16' } } } ) puts response
const response = await client.search({ index: "my-index-000001", query: { term: { ip_addr: "192.168.0.0/16", }, }, }); console.log(response);
GET my-index-000001/_search { "query": { "term": { "ip_addr": "192.168.0.0/16" } } }
or
resp = client.search( index="my-index-000001", query={ "term": { "ip_addr": "2001:db8::/48" } }, ) print(resp)
response = client.search( index: 'my-index-000001', body: { query: { term: { ip_addr: '2001:db8::/48' } } } ) puts response
const response = await client.search({ index: "my-index-000001", query: { term: { ip_addr: "2001:db8::/48", }, }, }); console.log(response);
GET my-index-000001/_search { "query": { "term": { "ip_addr": "2001:db8::/48" } } }
Also beware that colons are special characters to the
query_string
query, so ipv6 addresses will
need to be escaped. The easiest way to do so is to put quotes around the
searched value:
resp = client.search( index="my-index-000001", query={ "query_string": { "query": "ip_addr:\"2001:db8::/48\"" } }, ) print(resp)
response = client.search( index: 'my-index-000001', body: { query: { query_string: { query: 'ip_addr:"2001:db8::/48"' } } } ) puts response
const response = await client.search({ index: "my-index-000001", query: { query_string: { query: 'ip_addr:"2001:db8::/48"', }, }, }); console.log(response);
GET my-index-000001/_search { "query": { "query_string" : { "query": "ip_addr:\"2001:db8::/48\"" } } }
Synthetic _source
editSynthetic _source
is Generally Available only for TSDB indices
(indices that have index.mode
set to time_series
). For other indices
synthetic _source
is in technical preview. Features in technical preview may
be changed or removed in a future release. Elastic will work to fix
any issues, but features in technical preview are not subject to the support SLA
of official GA features.
ip
fields support synthetic _source
in their default
configuration. Synthetic _source
cannot be used together with
copy_to
or with doc_values
disabled.
Synthetic source always sorts ip
fields and removes duplicates. For example:
resp = client.indices.create( index="idx", mappings={ "_source": { "mode": "synthetic" }, "properties": { "ip": { "type": "ip" } } }, ) print(resp) resp1 = client.index( index="idx", id="1", document={ "ip": [ "192.168.0.1", "192.168.0.1", "10.10.12.123", "2001:db8::1:0:0:1", "::afff:4567:890a" ] }, ) print(resp1)
response = client.indices.create( index: 'idx', body: { mappings: { _source: { mode: 'synthetic' }, properties: { ip: { type: 'ip' } } } } ) puts response response = client.index( index: 'idx', id: 1, body: { ip: [ '192.168.0.1', '192.168.0.1', '10.10.12.123', '2001:db8::1:0:0:1', '::afff:4567:890a' ] } ) puts response
const response = await client.indices.create({ index: "idx", mappings: { _source: { mode: "synthetic", }, properties: { ip: { type: "ip", }, }, }, }); console.log(response); const response1 = await client.index({ index: "idx", id: 1, document: { ip: [ "192.168.0.1", "192.168.0.1", "10.10.12.123", "2001:db8::1:0:0:1", "::afff:4567:890a", ], }, }); console.log(response1);
PUT idx { "mappings": { "_source": { "mode": "synthetic" }, "properties": { "ip": { "type": "ip" } } } } PUT idx/_doc/1 { "ip": ["192.168.0.1", "192.168.0.1", "10.10.12.123", "2001:db8::1:0:0:1", "::afff:4567:890a"] }
Will become:
{ "ip": ["::afff:4567:890a", "10.10.12.123", "192.168.0.1", "2001:db8::1:0:0:1"] }
IPv4 addresses are sorted as though they were IPv6 addresses prefixed by
::ffff:0:0:0/96
as specified by
rfc6144.