unable to convert epoch fomat to human readable format

[kapoorsumit2020]

When i convert following timestamp to human readable format i am getting "12/31/9999 23:59:59" instead of '01/04/22 06:03:47'

"timestamp": 1641294227243

I'm using strftime(timestamp,"%m/%d/%Y %H:%M:%S") function for the conversion.

Could you please help me to find out the right conversion method?

Thanks in advance! 

[johnhuang]

Splunk assumes the UNIX time value is in seconds and your value is in milliseconds. When this happens, simply divide by 1000.

| makeresults
| eval timestamp="1641294227243"
| eval event_time=strftime((timestamp/1000),"%m/%d/%Y %H:%M:%S")

[kapoorsumit2020]

Thank you @johnhuang 

I tried as suggested but somehow the value for event_time is coming as blank in our use-case:

Here is sample SPL which i'm using:

index=cloud cloudaccount="account_id" sourcetype=lambda:project_name-sftp-logs-to-splunk "\"logGroup\": \"/aws/transfer/s-serverid\"" "CLOSE Path=\/projectname-bucketname-prd" "a.b.c.d.e.T0600420"
| rex field=_raw max_match=0 "(?<Sent_At>\d+)[\r\n ,]+\"message\": \"[\w+.]+ CLOSE Path=\/projectname-bucketname-prd[-secure]*\/landing\/[prd\/]*(?<user_id>\w+)\/(?<FILE_NAME>[\w+.#]+) BytesIn=(?<Bytes_In>\d+)"
| eval event_time=strftime((Sent_At/1000),"%m/%d/%Y %H:%M:%S")
| table FILE_NAME user_id Bytes_In Sent_At event_time

Result:

FILE_NAME                 user_id             Bytes_In     Sent_At                           event_time

----------------------------------------------------------------------------------------------
a.b.c.d.e.T0600420 user_name 1   0                    1641294227380   

Sample log events:

2022-01-04T11:04:02.452Z 9e7cf6d7-006a-4aea-8053-2aae3068f5b0 INFO Decoded payload: {
"messageType": "DATA_MESSAGE",
"owner": "account_id",
"logGroup": "/aws/transfer/s-serverid",
"logStream": "eft_nonprod.7eba87e510990497",
"subscriptionFilters": [
"onepi-sftp-logs-to-splunk-filter"
],
"logEvents": [
{
"id": "36602084357565361730142322725669422549468033150221549568",
"timestamp": 1641294227243,
"message": "message-1"
},
{
"id": "36602084360419857115554242487785994488367023422987042817",
"timestamp": 1641294227371,
"message": "message-2"
},
....
]
}

[johnhuang]

Your data contains multiple timestamps. Let's try to clean up the field a bit:

| eval Sent_At=TRIM(MVINDEX(Sent_At,0))
| eval event_time=strftime((Sent_At/1000),"%m/%d/%Y %H:%M:%S")