Google Cloud Logging allows you to store, search, analyze,
monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services.
If you require lightweight dependencies, an experimental, minified version of
this library is available at @google-cloud/logging-min.
Note: logging-min
is experimental, and its feature surface is subject to change.
To install @google-cloud/logging-min
library run the following command:
npm install @google-cloud/logging-min
For an interactive tutorial on using the client library in a Node.js application, click Guide Me:
A comprehensive list of changes in each version may be found in
the CHANGELOG.
Read more about the client libraries for Cloud APIs, including the older
Google APIs Client Libraries, in Client Libraries Explained.
Table of contents:
Quickstart
Before you begin
- Select or create a Cloud Platform project.
- Enable the Cloud Logging API.
- Set up authentication with a service account so you can access the
API from your local workstation.
Installing the client library
npm install @google-cloud/logging
Using the client library
const {Logging} = require('@google-cloud/logging');
async function quickstart(
projectId = 'YOUR_PROJECT_ID',
logName = 'my-log'
) {
const logging = new Logging({projectId});
const log = logging.log(logName);
const text = 'Hello, world!';
const metadata = {
resource: {type: 'global'},
severity: 'INFO',
};
const entry = log.entry(metadata, text);
async function writeLog() {
await log.write(entry);
console.log(`Logged: ${text}`);
}
writeLog();
}
Batching Writes
High throughput applications should avoid awaiting calls to the logger:
await log.write(logEntry1);
await log.write(logEntry2);
Rather, applications should use a fire and forget approach:
log.write(logEntry1);
log.write(logEntry2);
The @google-cloud/logging
library will handle batching and dispatching
these log lines to the API.
Writing to Stdout
The LogSync
class helps users easily write context-rich structured logs to
stdout
or any custom transport. It extracts additional log properties like
trace context from HTTP headers and can be used as an on/off toggle between
writing to the API or to stdout
during local development.
Logs written to stdout
are then picked up, out-of-process, by a Logging
agent in the respective GCP environment. Logging agents can add more
properties to each entry before streaming it to the Logging API.
Read more about Logging agents.
Serverless applications like Cloud Functions, Cloud Run, and App Engine
are highly recommended to use the LogSync
class as async logs may be dropped
due to lack of CPU.
Read more about structured logging.
const logging = new Logging();
await logging.setProjectId()
await logging.setDetectedResource()
const log = logging.logSync(logname);
const meta = {
const entry = log.entry(meta, 'Your log message');
log.write(entry);
log.alert(entry);
log.warning(entry);
Populating Http request metadata
Metadata about Http request is a part of the structured log info
that can be captured within each log entry. It can provide a context for the application logs and
is used to group multiple log entries under the load balancer request logs. See the sample
how to populate the Http request metadata for log entries.
If you already have a "raw" Http request
object you can assign it to entry.metadata.httpRequest
directly. More information about
how the request
is interpreted as raw can be found in the code.
Error handling with logs written or deleted asynchronously
The Log
class provide users the ability to write and delete logs asynchronously. However, there are cases when log entries
cannot be written or deleted and error is thrown - if error is not handled properly, it could crash the application.
One possible way to catch the error is to await
the log write/delete calls and wrap it with try/catch
like in example below:
try {
await log.write(entry);
} catch (err) {
console.log('Error is: ' + err);
}
However, awaiting for every log.write
or log.delete
calls may introduce delays which could be avoided by
simply adding a callback like in the example below. This way the log entry can be queued for processing and code
execution will continue without further delays. The callback will be called once the operation is complete:
log.write(entry, err => {
if (err) {
console.log(err.message);
} else {
console.log('No error in write callback!');
}
});
Adding a callback to every log.write
or log.delete
calls could be a burden, especially if code
handling the error is always the same. For this purpose we introduced an ability to provide a default callback
for Log
class which could be set through LogOptions
passed to Log
constructor as in example below - this
way you can define a global callback once for all log.write
and log.delete
calls and be able to handle errors:
const {Logging} = require('@google-cloud/logging');
const logging = new Logging();
const options = {
defaultWriteDeleteCallback: function (err) {
if (err) {
console.log('Error is: ' + err);
} else {
console.log('No error, all is good!');
}
},
};
const log = logging.log('my-log', options);
See the full sample in writeLogWithCallback
function here.
Samples
Samples are in the samples/
directory. Each sample's README.md
has instructions for running its sample.
The Cloud Logging Node.js Client API Reference documentation
also contains samples.
Supported Node.js Versions
Our client libraries follow the Node.js release schedule.
Libraries are compatible with all current active and maintenance versions of
Node.js.
If you are using an end-of-life version of Node.js, we recommend that you update
as soon as possible to an actively supported LTS version.
Google's client libraries support legacy versions of Node.js runtimes on a
best-efforts basis with the following warnings:
- Legacy versions are not tested in continuous integration.
- Some security patches and features cannot be backported.
- Dependencies cannot be kept up-to-date.
Client libraries targeting some end-of-life versions of Node.js are available, and
can be installed through npm dist-tags.
The dist-tags follow the naming convention legacy-(version)
.
For example, npm install @google-cloud/logging@legacy-8
installs client libraries
for versions compatible with Node.js 8.
Versioning
This library follows Semantic Versioning.
This library is considered to be stable. The code surface will not change in backwards-incompatible ways
unless absolutely necessary (e.g. because of critical security issues) or with
an extensive deprecation period. Issues and requests against stable libraries
are addressed with the highest priority.
More Information: Google Cloud Platform Launch Stages
Contributing
Contributions welcome! See the Contributing Guide.
Please note that this README.md
, the samples/README.md
,
and a variety of configuration files in this repository (including .nycrc
and tsconfig.json
)
are generated from a central template. To edit one of these files, make an edit
to its templates in
directory.
License
Apache Version 2.0
See LICENSE