View logs routed to Cloud Storage

This document explains how you can find log entries that you routed from Cloud Logging to Cloud Storage buckets.

Log entries are saved to Cloud Storage buckets in hourly batches. It might take from 2 to 3 hours before the first entries begin to appear.

Before you begin

For a conceptual discussion of sinks, see Overview of routing and storage models: Sinks.

For instructions on how to route your logs, see Route logs to supported destinations.

View logs

To view your logs routed to Cloud Storage, do the following:

  1. In the navigation panel of the Google Cloud console, select Cloud Storage, and then click Buckets:

    Go to Buckets

  2. Select the Cloud Storage bucket you are using as your routing destination.

Logs organization

When you route logs to a Cloud Storage bucket, Logging writes a set of files to the bucket.

The files are organized in directory hierarchies by log type and date. The log type, referred to as [LOG_ID] in the LogEntry reference, can be a simple name like syslog or a compound name like If these logs were stored in a bucket named my-gcs-bucket, then the directories would be named as in the following example:


A single Cloud Storage bucket can contain logs from multiple resource types. The maximum file size is 3.5 GiB.

Logging doesn't guarantee deduplication of log entries from sinks containing identical or overlapping queries; log entries from those sinks might be written multiple times to a Cloud Storage bucket.

The leaf directories (DD/) contain multiple files, each of which holds the routed log entries for a time period specified in the file name. The files are sharded and their names end in a shard number, Sn or An (n=0, 1, 2, ...). For example, here are two files that might be stored within the directory my-gcs-bucket/syslog/2015/01/13/:


These two files together contain the syslog log entries for all instances during the hour beginning 08:00:00 UTC and ending 08:59:59 UTC. The log entry timestamps are expressed in UTC (Coordinated Universal Time).

Log entries that arrive with a receiveTimestamp within the 60-minute aligned window of their timestamp are written to main shard files. For example, a log entry with a timestamp of 08:00:00 and a receiveTimestamp of 08:10:00 is stored in the main shard file.

These files include a numbered main shard in the suffix: _Sn.json.

Log entries that arrive with a timestamp in a different 60-minute aligned window than their receiveTimestamp are written to addendum shard files. For example, A log entry with a timestamp of 08:00:00 and a receiveTimestamp of 09:10:00 is stored in an addendum shard file.

These files include a numbered addendum shard with the suffix: _An:Unix_timestamp.json.

For example, a log entry that has a timestamp between 08:00:00 and 08:59:59 but a receiveTimestamp in a different 60-minute aligned window is written to a file with the _An:Unix_timestamp.json suffix, where the Unix timestamp identifies the time the file was routed to Cloud Storage. If a log entry had a timestamp of 08:50:00 and a receiveTimestamp of 09:10:00, and was routed at 09:15:00 on March 25, 2021, the addendum file would be written as follows:


To get all the log entries, you must read all the shards for each time period—in this case, file shards 0 and 1. The number of file shards written can change for each time period.

Within the individual sharded files, log entries are stored as a list of LogEntry objects. For an example of a syslog entry, see Log entries organization.

Note that sort order of log entries within the files is neither uniform nor otherwise guaranteed.

Late-arriving log entries

Routed log entries are saved to Cloud Storage buckets in hourly batches. It might take from 2 to 3 hours before the first entries begin to appear. Routed log file shards with the suffix An ("Append") hold log entries that arrived late.

If the destination experiences an outage, then Cloud Logging buffers the data until the outage is over.

If there aren't any logs in your sink's destination, check the export system metrics. The export system metrics indicate how many log entries are routed and how many are dropped due to errors. If the export system metrics indicate that no log entries were routed to the destination, check your filter to verify that log entries matching your filter have recently arrived in Logging.

In the navigation panel of the Google Cloud console, select Logging, and then select Log Router:

Go to Log Router

App Engine log entries

App Engine combines multiple sub-entries of type google.appengine.logging.v1.LogLine (also called AppLog or AppLogLine) under a primary log entry of type google.appengine.logging.v1.RequestLog for the request that causes the log activity. The log lines each have a "request ID" that identifies the primary entry. The Logs Explorer displays the log lines with the request log entry. Logging attempts to put all the log lines into the batch with the original request, even if their timestamps would place them in the next batch. If that isn't possible, the request log entry might be missing some log lines, and there might be "orphan" log lines without a request in the next batch. If this possibility is important to you, be prepared to reconnect the pieces of the request when you process your logs.


If logs seem to be missing from your sink's destination or you otherwise suspect that your sink isn't properly routing logs, then see Troubleshoot routing logs.


Cloud Logging doesn't charge to route logs to a supported destination; however, the destination might apply charges. For information about destination costs, see Cloud Storage pricing.

If you send and then exclude your Virtual Private Cloud flow logs from Cloud Logging, VPC flow log generation charges apply in addition to the destination charges.