Signed-off-by: Artem Navoiev <tenmozes@gmail.com>
5.9 KiB
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Vector setup
Elasticsearch sink
Specify Elasticsearch sink type in the vector.toml
for sending the collected logs to VictoriaLogs:
[sinks.vlogs]
inputs = [ "your_input" ]
type = "elasticsearch"
endpoints = [ "http://localhost:9428/insert/elasticsearch/" ]
mode = "bulk"
api_version = "v8"
healthcheck.enabled = false
[sinks.vlogs.query]
_msg_field = "message"
_time_field = "timestamp"
_stream_fields = "host,container_name"
Substitute the localhost:9428
address inside endpoints
section with the real TCP address of VictoriaLogs.
Replace your_input
with the name of the inputs
section, which collects logs. See these docs for details.
See these docs for details on parameters specified
in the [sinks.vlogs.query]
section.
It is recommended verifying whether the initial setup generates the needed log fields
and uses the correct stream fields.
This can be done by specifying debug
parameter
in the [sinks.vlogs.query]
section and inspecting VictoriaLogs logs then:
[sinks.vlogs]
inputs = [ "your_input" ]
type = "elasticsearch"
endpoints = [ "http://localhost:9428/insert/elasticsearch/" ]
mode = "bulk"
api_version = "v8"
healthcheck.enabled = false
[sinks.vlogs.query]
_msg_field = "message"
_time_field = "timestamp"
_stream_fields = "host,container_name"
debug = "1"
If some log fields must be skipped
during data ingestion, then they can be put into ignore_fields
parameter.
For example, the following config instructs VictoriaLogs to ignore log.offset
and event.original
fields in the ingested logs:
[sinks.vlogs]
inputs = [ "your_input" ]
type = "elasticsearch"
endpoints = [ "http://localhost:9428/insert/elasticsearch/" ]
mode = "bulk"
api_version = "v8"
healthcheck.enabled = false
[sinks.vlogs.query]
_msg_field = "message"
_time_field = "timestamp"
_stream_fields = "host,container_name"
ignore_fields = "log.offset,event.original"
When Vector ingests logs into VictoriaLogs at a high rate, then it may be needed to tune batch.max_events
option.
For example, the following config is optimized for higher than usual ingestion rate:
[sinks.vlogs]
inputs = [ "your_input" ]
type = "elasticsearch"
endpoints = [ "http://localhost:9428/insert/elasticsearch/" ]
mode = "bulk"
api_version = "v8"
healthcheck.enabled = false
[sinks.vlogs.query]
_msg_field = "message"
_time_field = "timestamp"
_stream_fields = "host,container_name"
[sinks.vlogs.batch]
max_events = 1000
If the Vector sends logs to VictoriaLogs in another datacenter, then it may be useful enabling data compression via compression = "gzip"
option.
This usually allows saving network bandwidth and costs by up to 5 times:
[sinks.vlogs]
inputs = [ "your_input" ]
type = "elasticsearch"
endpoints = [ "http://localhost:9428/insert/elasticsearch/" ]
mode = "bulk"
api_version = "v8"
healthcheck.enabled = false
compression = "gzip"
[sinks.vlogs.query]
_msg_field = "message"
_time_field = "timestamp"
_stream_fields = "host,container_name"
By default, the ingested logs are stored in the (AccountID=0, ProjectID=0)
tenant.
If you need storing logs in other tenant, then specify the needed tenant via [sinks.vlogs.request.headers]
section.
For example, the following vector.toml
config instructs Vector to store the data to (AccountID=12, ProjectID=34)
tenant:
[sinks.vlogs]
inputs = [ "your_input" ]
type = "elasticsearch"
endpoints = [ "http://localhost:9428/insert/elasticsearch/" ]
mode = "bulk"
api_version = "v8"
healthcheck.enabled = false
[sinks.vlogs.query]
_msg_field = "message"
_time_field = "timestamp"
_stream_fields = "host,container_name"
[sinks.vlogs.request.headers]
AccountID = "12"
ProjectID = "34"
HTTP sink
Vector can be configured with HTTP sink type for sending data to JSON stream API:
[sinks.vlogs]
inputs = [ "your_input" ]
type = "http"
uri = "http://localhost:9428/insert/jsonline?_stream_fields=host,container_name&_msg_field=message&_time_field=timestamp"
encoding.codec = "json"
framing.method = "newline_delimited"
healthcheck.enabled = false
[sinks.vlogs.request.headers]
AccountID = "12"
ProjectID = "34"
See also: