This document describes how Cloud Logging splits oversized audit log entries and provides guidance on how to reassemble these split audit logs.
When a single audit log entry exceeds the size limit, Cloud Logging splits that entry and distributes the data contained in the original audit log entry across several entries. Users might want to reassemble the split audit logs as the individual split log entries don't contain all the fields from the original audit log.
Recognizing split audit log entries
Split log entries contain information about the original entry from which they
were split. If a log entry contains a
split
field, then
the entry is the result of splitting a larger original log entry. The split
field is a LogSplit
object that contains the information needed to identify related split log
entries.
Each split log entry contains the following fields:
split.uid
: a unique identifier for the group of log entries that were split from a common original log entry. The value of this field is the same for all entries split from the original log entry.split.index
: the position of this entry in the series of split entries. The first entry from the split has index0
.split.index
is also appended to theLogEntry.insertId
field.split.totalSplits
: the number of log entries that the original log entry was split into. The value of this field is the same for all entries split from the original log entry.
How a log entry is split
When an oversized audit log entry is split, the fields are distributed among the resulting split log entries as follows:
All fields except the
protoPayload
field are duplicated into each split entry.The following
protoPayload
subfields can be split across multiple entries:protoPayload.metadata
protoPayload.request
protoPayload.response
All other
protoPayload
subfields are included in all of the split entries.For the
protoPayload.metadata
,protoPayload.request
, andprotoPayload.response
subfields, the following field types can be split across multiple entries:
If a field is a member of a splittable field but isn't one of the splittable field types, then it's only present in one of the split logs.
For example, a boolean field in the protoPayload.request
subfield can only
appear in one split log entry, but a string field in the protoPayload.request
subfield can have its content split across multiple split log entries.
For an example of how a long entry is split, see Example log entry split.
Repeated fields with many values
When the value of the protoPayload.metadata
, protoPayload.request
or
protoPayload.response
field contains a list of repeated values, the list might
be broken up and distributed across multiple split log entries.
For example, the list of values ["foo", "bar", "baz"] might be split into 2
lists: ["foo", "ba"] and ["", "r", "baz"]. The first list is the entry with the
split.index
of 0
, and the second list is in the entry with split.index
of
1
. The second list begins with an empty string to maintain the positions of
the elements in the list and to indicate that elements in the same positions in
the different lists must be joined together. In the example, ba
is the second
list element in entry 0
, and r
is the second list element in entry 1
, so
they are recombined in the order bar
when reassembling the original list.
Large, non-repeated fields
When large, non-repeated Struct
and string
fields are split, these fields
are handled as follows:
A
string
field is split at the character level and not at the byte level. So, multi-byte characters aren't altered.LogEntry.split.index
controls the ordering of the contents of split, non-repeated fields.
Reassemble split log entry
To reassemble a set of split logs, complete the following steps:
Sort the set of split audit logs by
LogEntry.split.index
in ascending order.Create a copy of the first split log, where
LogEntry.split.index == 0
. This copy is the beginning of the reassembled log.For the remaining log entries, iterate through all splittable fields of
protoPayload
and complete the following steps for each field:If the field already exists in the reassembled log, append the content of that field into the reassembled log.
If the field doesn't exist in the reassembled log, copy that field into the reassembled log
When split, repeated fields preserve the index of its elements, so you can apply these steps at the element level when reassembling a repeated field.
After iterating through the splittable fields, clear
LogEntry.split
of the reassembled log.Remove the
.0
suffix from theLogEntry.insert_id
of the reassembled log.
Sample queries
To find all log entries that were split from the same original log entry, run the following query in the Logs Explorer, replacing the UID variable with the desired value:
split.uid="UID"
For example:
split.uid="abc123"
To find all log entries which are part of any split, run the following query:
split:*
Filter out split audit logs
You can exclude all split audit logs from a query by using the following filter:
split.totalSplits = 0
You can also include only the first entry of a split audit log and exclude the rest of the entries by using the following filter:
split.index = 0
Example log entry split
The following example shows an audit log entry before it's split into four new log entries. The new entries show how different fields are handled in the splitting operation.
Oversized audit log entry before splitting
{
"insertId": "567",
"logName": "projects/1234/logs/cloudaudit.googleapis.com%2Fdata_access",
"resource": {
"type": "audited_resource"
},
"protoPayload": {
"serviceName": "example.googleapis.com",
"methodName": "google.cloud.example.ExampleMethod",
"resourceName": "projects/1234/resources/123",
"status": {
"code": 0
},
"authenticationInfo": {
"principalEmail": "user@example_company.com"
},
"authorizationInfo": [
{
"resource": "example.googleapis.com/projects/1234/resources/123",
"permission": "examples.get",
"granted": "true"
}
],
"request" {
"boolField": true,
"numberField": 123,
"stringField": "Very long string that needs 2 log entries.",
"structField": {
"nestedNumberField": 1337,
"nestedStringField": "Another long string that needs 2 log entries.",
},
"listField" [
{"value": "short 1"},
{"value": "Yet another long string."},
{"value": "short 2"},
{"value": "short 3"},
]
}
}
}
Oversized audit log entry after splitting
The original log entry is split into the following entries. Note that each entry
includes the split
object with a uid
and a totalSplits
value of 4
. Each
entry has a split.index
value of 0
, 1
, 2
, or 3
, which indicates the
order of the split log entries.
Split log entry, index 0
Here is the first split log entry, with a split.index
value of 0
.
{
"insertId": "567.0",
"logName": "projects/1234/logs/cloudaudit.googleapis.com%2Fdata_access",
"resource": {
"type": "audited_resource"
},
"split": {
"uid": "789+2022-02-22T12:22:22.22+05:00",
"index": 0,
"totalSplits": 4,
},
"protoPayload": {
// The following fields are included in all split entries
"serviceName": "example.googleapis.com",
"methodName": "google.cloud.example.ExampleMethod",
"resourceName": "projects/1234/resources/123",
"status": {
"code": 0
},
"authenticationInfo": { // small size; included in all split entries
"principalEmail": "user@example_company.com"
},
// The following field is included in this split entry only.
"authorizationInfo": [
{
"resource": "spanner.googleapis.com/projects/1234/datasets/123",
"permission": "databases.read",
"granted": "true"
}
],
// The following field is split across all the split entries
"request" {
// boolField and numberField can only be in one split.
"boolField": true,
"numberField": 123,
// Split with the next LogEntry.
"stringField": "Very long string that ",
}
}
}
Split log entry, index 1
Here is the next split log entry, with a split.index
value of 1
.
{
"insertId": "567.1",
"logName": "projects/1234/logs/cloudaudit.googleapis.com%2Fdata_access",
"resource": {
"type": "audited_resource"
},
"split": {
"uid": "567+2022-02-22T12:22:22.22+05:00",
"index": 1,
"totalSplits": 4,
},
"protoPayload": {
"serviceName": "example.googleapis.com",
"methodName": "google.cloud.example.ExampleMethod",
"resourceName": "projects/1234/resources/123",
"status": {
"code": 0
},
"authenticationInfo": {
"principalEmail": "user@example_company.com"
},
"request" {
// boolField and numberField aren't present
// Continued from the previous entry.
"stringField": "needs 2 log entries.",
"structField": {
"nestedNumberField": 1337,
// Split with the next LogEntry.
"nestedStringField": "Another long string ",
}
}
}
}
Split log entry, index 2
Here is the next split log entry, with a split.index
value of 2
.
{
"insertId": "567.2",
"logName": "projects/1234/logs/cloudaudit.googleapis.com%2Fdata_access",
"resource": {
"type": "audited_resource"
},
"split": {
"uid": "567+2022-02-22T12:22:22.22+05:00",
"index": 2,
"totalSplits": 4,
},
"protoPayload": {
"serviceName": "example.googleapis.com",
"methodName": "google.cloud.example.ExampleMethod",
"resourceName": "projects/1234/resources/123",
"status": {
"code": 0
},
"authenticationInfo": {
"principalEmail": "user@example_company.com"
},
request {
"structField": {
// Continued from the previous entry.
"nestedStringField": "that needs 2 log entries.",
}
"listField" [
{"value": "short 1"},
{"value": "Yet another "}, // Split with the next LogEntry.
// Missing two values, split with the next LogEntry.
]
}
}
}
Split log entry, index 3
Here is the final split log entry, with a split.index
value of 3
.
{
"insertId": "567.3",
"logName": "projects/1234/logs/cloudaudit.googleapis.com%2Fdata_access",
"resource": {
"type": "audited_resource"
},
"split": {
"uid": "567+2022-02-22T12:22:22.22+05:00",
"index": 3,
"totalSplits": 4,
},
"protoPayload": {
"serviceName": "example.googleapis.com",
"methodName": "google.cloud.example.ExampleMethod",
"resourceName": "projects/1234/resources/123",
"status": {
"code": 0
},
"authenticationInfo": {
"principalEmail": "user@example_company.com"
},
"request" {
"listField" [
{}, // Padding to ensure correct positioning of elements in split repeated fields.
{"value": "long string."}, // Continuation of the second repeated field.
{"value": "short 2"},
{"value": "short 3"},
]
}
}
}