An elasticsearch transport for the winston logging toolkit.
- logstash compatible message structure.
- Thus consumable with kibana.
- Date pattern based index names.
- Custom transformer function to transform logged data into a different message structure.
- Buffering of messages in case of unavailability of ES. The limit is the memory as all unwritten messages are kept in memory.
For Winston 3.7, Elasticsearch 8.0 and later, use the >= 0.17.0.
For Winston 3.4, Elasticsearch 7.8 and later, use the >= 0.16.0.
For Winston 3.x, Elasticsearch 7.0 and later, use the >= 0.7.0.
For Elasticsearch 6.0 and later, use the 0.6.0.
For Elasticsearch 5.0 and later, use the 0.5.9.
For earlier versions, use the 0.4.x series.
- Querying.
npm install --save winston winston-elasticsearchconst winston = require('winston');
const { ElasticsearchTransport } = require('winston-elasticsearch');
const esTransportOpts = {
level: 'info'
};
const esTransport = new ElasticsearchTransport(esTransportOpts);
const logger = winston.createLogger({
transports: [
esTransport
]
});
// Compulsory error handling
logger.on('error', (error) => {
console.error('Error in logger caught', error);
});
esTransport.on('error', (error) => {
console.error('Error in logger caught', error);
});The winston API for logging can be used with one restriction: Only one JS object can only be logged and indexed as such. If multiple objects are provided as arguments, the contents are stringified.
level[info] Messages logged with a severity greater or equal to the given one are logged to ES; others are discarded.index[none | whendataStreamistrue,logs-app-default] The index to be used. This option is mutually exclusive withindexPrefix.indexPrefix[logs] The prefix to use to generate the index name according to the pattern<indexPrefix>-<indexSuffixPattern>. Can be string or function, returning the string to use.indexSuffixPattern[YYYY.MM.DD] a Day.js compatible date/ time pattern.transformer[see below] A transformer function to transform logged data into a different message structure.useTransformer[true] If set totrue, the giventransformerwill be used (or the default). Set tofalseif you want to apply custom transformers during Winston'screateLogger.ensureIndexTemplate[true] If set totrue, the givenindexTemplateis checked/ uploaded to ES when the module is sending the first log message to make sure the log messages are mapped in a sensible manner.indexTemplate[see fileindex-template-mapping.json] the mapping template to be ensured as parsed JSON.ensureIndexTemplateistrueandindexTemplateisundefinedflushInterval[2000] Time span between bulk writes in ms.retryLimit[400] Number of retries to connect to ES before giving up.healthCheckTimeout[30s] Timeout for one health check (health checks will be retried forever).healthCheckWaitForStatus[yellow] Status to wait for when check upon health. See its API docs for supported options.healthCheckWaitForNodes[>=1] Nodes to wait for when check upon health. See its API docs for supported options.clientAn elasticsearch client instance. If given, theclientOptsare ignored.clientOptsAn object passed to the ES client. See its docs for supported options.waitForActiveShards[1] Sets the number of shard copies that must be active before proceeding with the bulk operation.pipeline[none] Sets the pipeline id to pre-process incoming documents with. See the bulk API docs.buffering[true] Boolean flag to enable or disable messages buffering. ThebufferLimitoption is ignored if set tofalse.bufferLimit[null] Limit for the number of log messages in the buffer.apm[null] Inject apm client to link elastic logs with elastic apm traces.dataStream[false] Use Elasticsearch datastreams.source[none] the source of the log message. This can be useful for microservices to understand from which service a log message origins.internalLogger[console.error] A logger of last resort to log internal errors.
The default client and options will log through console.
When changing the indexPrefix and/or the transformer,
make sure to provide a matching indexTemplate.
The transformer function allows mutation of log data as provided by winston into a shape more appropriate for indexing in Elasticsearch.
The default transformer generates a @timestamp and rolls any meta
objects into an object called fields.
Params:
logdataAn object with the data to log. Properties are:timestamp[new Date().toISOString()] The timestamp of the log entrylevelThe log level of the entrymessageThe message for the log entrymetaThe meta data for the log entry
Returns: Object with the following properties
@timestampThe timestamp of the log entryseverityThe log level of the entrymessageThe message for the log entryfieldsThe meta data for the log entry
The default transformer function's transformation is shown below.
Input A:
{
"message": "Some message",
"level": "info",
"meta": {
"method": "GET",
"url": "/sitemap.xml",
...
}
}Output A:
{
"@timestamp": "2019-09-30T05:09:08.282Z",
"message": "Some message",
"severity": "info",
"fields": {
"method": "GET",
"url": "/sitemap.xml",
...
}
}The default transformer can be imported and extended
const { ElasticsearchTransformer } = require('winston-elasticsearch');
const esTransportOpts = {
transformer: (logData) => {
const transformed = ElasticsearchTransformer(logData);
transformed.fields.customField = 'customValue'
return transformed;
}};
const esTransport = new ElasticsearchTransport(esTransportOpts);Note that in current logstash versions, the only "standard fields" are
@timestamp and @version, anything else is just free.
A custom transformer function can be provided in the options initiation.
error: in case of any error.
An example assuming default settings.
logger.info('Some message', {});Only JSON objects are logged from the meta field. Any non-object is ignored.
The log message generated by this module has the following structure:
{
"@timestamp": "2019-09-30T05:09:08.282Z",
"message": "Some log message",
"severity": "info",
"fields": {
"method": "GET",
"url": "/sitemap.xml",
"headers": {
"host": "www.example.com",
"user-agent": "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)",
"accept": "*/*",
"accept-encoding": "gzip,deflate",
"from": "googlebot(at)googlebot.com",
"if-modified-since": "Tue, 30 Sep 2019 11:34:56 GMT",
"x-forwarded-for": "66.249.78.19"
}
}
}This message would be POSTed to the following endpoint:
http://localhost:9200/logs-2019.09.30/log/
So the default mapping uses an index pattern logs-*.
- Install the official nodejs client for elastic-apm
yarn add elastic-apm-node
- or -
npm install elastic-apm-nodeThen, before any other require in your code, do:
const apm = require("elastic-apm-node").start({
serverUrl: "<apm server http url>"
})
// Set up the logger
var winston = require('winston');
var Elasticsearch = require('winston-elasticsearch');
var esTransportOpts = {
apm,
level: 'info',
clientOpts: { node: "<elastic server>" }
};
var logger = winston.createLogger({
transports: [
new Elasticsearch(esTransportOpts)
]
});logger.info('Some log message');Will produce:
{
"@timestamp": "2021-03-13T20:35:28.129Z",
"message": "Some log message",
"severity": "info",
"fields": {},
"transaction": {
"id": "1f6c801ffc3ae6c6"
},
"trace": {
"id": "1f6c801ffc3ae6c6"
}
}Some "custom" logs may not have the apm trace.
If that is the case, you can retrieve traces using apm.currentTraceIds like so:
logger.info("Some log message", { ...apm.currentTracesIds })The transformer function (see above) will place the apm trace in the root object so that kibana can link Logs to APMs.
Custom traces WILL TAKE PRECEDENCE
If you are using a custom transformer, you should add the following code into it:
if (logData.meta['transaction.id']) transformed.transaction = { id: logData.meta['transaction.id'] };
if (logData.meta['trace.id']) transformed.trace = { id: logData.meta['trace.id'] };
if (logData.meta['span.id']) transformed.span = { id: logData.meta['span.id'] };This scenario may happen on a server (e.g. restify) where you want to log the query
after it was sent to the client (e.g. using server.on('after', (req, res, route, error) => log.debug("after", { route, error }))).
In that case you will not get the traces into the response because traces would
have stopped (as the server sent the response to the client).
In that scenario, you could do something like so:
server.use((req, res, next) => {
req.apm = apm.currentTracesIds
next()
})
server.on("after", (req, res, route, error) => log.debug("after", { route, error, ...req.apm }))Flushing can be manually triggered like this:
const esTransport = new ElasticsearchTransport(esTransportOpts);
esTransport.flush();Elasticsearch 7.9 and higher supports Datastreams.
When dataStream: true is set, bulk indexing happens with create instead of index, and also the default naming convention is logs-*-*, which will match the built-in Index template and ILM policy,
automatically creating a datastream.
By default, the datastream will be named logs-app-default, but alternatively, you can set the index option to anything that matches logs-*-* to make use of the built-in template and ILM policy.
If dataStream: true is enabled, AND ( you are using Elasticsearch < 7.9 OR (you have set a custom index that does not match logs-*-* AND you have not created a custom matching template in Elasticsearch)), a normal index will be created.
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