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[7.6][docs] Backport: Add new topic about data deduplication (#15171) #16118

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3 changes: 3 additions & 0 deletions filebeat/docs/configuring-howto.asciidoc
Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ The following topics describe how to configure Filebeat:
* <<load-balancing>>
* <<configuration-ssl>>
* <<filtering-and-enhancing-data>>
* <<{beatname_lc}-deduplication>>
* <<configuring-ingest-node>>
* <<{beatname_lc}-geoip>>
* <<configuration-path>>
Expand Down Expand Up @@ -68,6 +69,8 @@ include::{libbeat-dir}/shared-ssl-config.asciidoc[]

include::./filebeat-filtering.asciidoc[]

include::{libbeat-dir}/shared-deduplication.asciidoc[]

include::{libbeat-dir}/shared-config-ingest.asciidoc[]

include::{libbeat-dir}/shared-geoip.asciidoc[]
Expand Down
139 changes: 139 additions & 0 deletions libbeat/docs/shared-deduplication.asciidoc
Original file line number Diff line number Diff line change
@@ -0,0 +1,139 @@
[id="{beatname_lc}-deduplication"]
== Data deduplication

The {beats} framework guarantees at-least-once delivery to ensure that no data
is lost when events are sent to outputs that support acknowledgement, such as
{es}, {ls}, Kafka, and Redis. This is great if everything goes as planned. But
if {beatname_uc} shuts down during processing, or the connection is lost before
events are acknowledged, you can end up with duplicate data.

[float]
=== What causes duplicates in {es}?

When an output is blocked, the retry mechanism in {beatname_uc} attempts to
resend events until they are acknowledged by the output. If the output receives
the events, but is unable to acknowledge them, the data might be sent to the
output multiple times. Because document IDs are typically set by {es} _after_ it
receives the data from {beats}, the duplicate events are indexed as new
documents.

[float]
=== How can I avoid duplicates?

Rather than allowing {es} to set the document ID, set the ID in {beats}. The ID
is stored in the {beats} `@metadata._id` field and used to set the document ID
during indexing. That way, if {beats} sends the same event to {es} more than
once, {es} overwrites the existing document rather than creating a new one.

The `@metadata._id` field is passed along with the event so that you can use
it to set the document ID after the event has been published by {beatname_uc}
but before it's received by {es}. For example, see <<ls-doc-id>>.

There are several ways to set the document ID in {beats}:

* *`add_id` processor*
+
Use the <<add-id,`add_id`>> processor when your data has no natural key field,
and you can’t derive a unique key from existing fields.
+
This example generates a unique ID for each event and adds it to the
`@metadata._id` field:
+
[source,yaml]
----
processors:
- add_id: ~
----

* *`fingerprint` processor*
+
Use the <<fingerprint,`fingerprint`>> processor to derive a unique key from
one or more existing fields.
+
This example uses the values of `field1` and `field2` to derive a unique key
that it adds to the `@metadata._id` field:
+
[source,yaml]
----
processors:
- fingerprint:
fields: ["field1", "field2"]
target_field: "@metadata._id"
----

* *`decode_json_fields` processor*
+
Use the `document_id` setting in the <<decode-json-fields,`decode_json_fields`>>
processor when you're decoding a JSON string that contains a natural key field.
+
For this example, assume that the `message` field contains the JSON string
`{"myid": "100", "text": "Some text"}`. This example takes the value of `myid`
from the JSON string and stores it in the `@metadata._id` field:
+
[source,yaml]
----
processors:
- decode_json_fields:
document_id: "myid"
fields: ["message"]
max_depth: 1
target: ""
----
+
The resulting document ID is `100`.

* *JSON input settings*
+
Use the `json.document_id` input setting if you’re ingesting JSON-formatted
data, and the data has a natural key field.
+
This example takes the value of `key1` from the JSON document and stores it in
the `@metadata._id` field:
+
[source,yaml]
----
filebeat.inputs:
- type: log
paths:
- /path/to/json.log
json.document_id: "key1"
----

[float]
[[ls-doc-id]]
=== {ls} pipeline example

For this example, assume that you've used one of the approaches described
earlier to store the document ID in the {beats} `@metadata._id` field. To
preserve the ID when you send {beats} data through {ls} en route to {es},
set the `document_id` field in the {ls} pipeline:

[source,json]
----
input {
beats {
port => 5044
}
}}

output {
if [@metadata][_id] {
elasticsearch {
hosts => ["http://localhost:9200"]
document_id => "%{[@metadata][_id]}" <1>
index => "%{[@metadata][beat]}-%{[@metadata][version]}"
}
} else {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "%{[@metadata][beat]}-%{[@metadata][version]}"
}
}
}
----
<1> Sets the `document_id` field in the
{logstash-ref}/plugins-outputs-elasticsearch.html[{es} output] to the value
stored in `@metadata._id`.

When {es} indexes the document, it sets the document ID to the specified value,
preserving the ID passed from {beats}.