I am trying to parse error logs using Logstash to capture few fields especially errormessage. But unable to capture errormessage in Logstash. Below is the actual error message and parser which I wrote
12345 http://google.com 2017-04-17 09:02:43.065 ERROR 10479 --- [http-nio-8052-exec-2] com.utilities.TokenUtils : Error
org.xml.SAXParseException: An invalid XML character (Unicode: 0xe) was found in the value of attribute "ID" and element is "saml".
at org.apache.parsers.DOMParser.parse(Unknown Source)
at org.apache.jaxp.DocumentBuilderImpl.parse(Unknown Source)
at javax.parsers.DocumentBuilder.parse(DocumentBuilder.java:121)
at com.utilities.TokenUtils.validateSignature(TokenUtils.java:99)
Parser:
`%{NOTSPACE:stnum}\s*%{NOTSPACE:requestURL}\s*%{TIMESTAMP_ISO8601:log_timestamp}\s*%{LOGLEVEL:loglevel}\s*%{NUMBER:pid}\s*---\s*\[(?<thread>[A-Za-z0-9-]+)\]\s*%{DATA:class}\s*:\s%{NOTSPACE:level}\s*(?<errormessage>.[^\n]*).[^\n]*`
I am trying to capture this message from the log:
org.xml.SAXParseException: An invalid XML character (Unicode: 0xe) was found in the value of attribute "ID" and element is "saml".
Which logstash parser you are using? Please provide while conf file which can give us more info. Here's the sample to parse exception type from your logs (Using grok filter).
filter {
grok {
match => ["message", "%{DATA:errormessage} %{GREEDYDATA:EXTRA}"]
}
}
Related
I am trying to send data from fluent_bit to the Elastic search
Here is my fluent-bit parser:
[PARSER]
Name escape_utf8_log
Format json
# Command | Decoder | Field | Optional Action
# =============|=====================|=================
Decode_Field_As escaped_utf8 log
Decode_Field json log [PARSER]
Name escape_message
Format json
# Command | Decoder | Field | Optional Action
# =============|=================|=================
Decode_Field_As escaped_utf8 message
Decode_Field json message
Here is my fluent-bit config:
[FILTER]
Name parser
Match docker_logs
Key_Name message
Parser escape_message
Reserve_Data True
In some cases, other people would put the log data to the fluent-bit in the wrong format so that we can get "mapper_parsing_exception" (example: filed to parse field [id] of type long in document).
I am trying to skip parsing a log and then send it to ES anyway if the fluent can not parse that log. so that we would not get the parser error even if someone sends the wrong format to fluent_bit. Is this possible to do that?
I am trying to parse custom log messages which also have error stacktraces that span multiple lines. My GROK pattern fails to parse if its a multiline stacktrace and all i see in the elasticsearc index is the first line of the message. Strangely if I use a parser like grokdebugger to test the pattern works for multiline as well. What am I missing in the logstash config
Following is the snippet of my grok pattern in logstash:
grok {match => [
"message" , "%{TIMESTAMP_ISO8601:timestamp} \[%{SPACE}%{DATA:loglevel}\] %{DATA:class} \[%{DATA:operation}\] \(user=%{DATA:userid}\) (?m)%{GREEDYDATA:stacktrace}"
]
}
Sample message that gets parsed:
2018-01-09 21:38:21,414 [ INFO] abc.xyz.def:444: [Put] [Protect] (user=xyz) Random Message
Message that does not get parsed:
2018-01-09 21:38:21,415 [ ERROR] abc.xyz.def:41: [Error] (user=xyz) Unhandled exception encountered...
Traceback (most recent call last):
File "/usr/local/lib/abc/xyz.py", line 113, in some_requestrv = self.dispatch_request()
You can indeed use multiline codec, in your case:
input {
file {
path => "/var/log/someapp.log"
codec => multiline {
# Grok pattern names are valid! :)
pattern => "^%{TIMESTAMP_ISO8601} "
negate => true
what => "previous"
}
}
}
Here is the link for documentation
When I am injecting data collected by Fluentd to Elasticsearch using fluent-plugin-elasticsearch, some data caused the following error:
2017-04-09 23:47:37 +0900 [error]: Could not push log to Elasticsearch: {"took"=>3, "errors"=>true, "items"=>[{"index"=>{"_index"=>"logstash-201704", "_type"=>"ruby", "_id"=>"AVtTLz_cUzkwT9CQCxrH", "status"=>400, "error"=>{"type"=>"mapper_parsing_exception", "reason"=>"failed to parse [message]", "caused_by"=>{"type"=>"illegal_state_exception", "reason"=>"Can't get text on a START_OBJECT at 1:27"}}}}, .....]}
It seems that elasticsearch banned the data for error failed to parse [message] and Can't get text on a START_OBJECT at 1:27. but I cannot see what data is sent to Elasticsearch and what's wrong.
Any ideas?
fluent-plugin-elasticsearch uses _bulk API to sending data. I put the request-dumping code on /opt/td-agent/embedded/lib/ruby/gems/2.1.0/gems/elasticsearch-api-5.0.4/lib/elasticsearch/api/actions/bulk.rb as following:
def bulk(arguments={})
...
payload = body
end
$log.info([method, path, params, payload].inspect) # <=== here ($log is global logger of fluentd)
perform_request(method, path, params, payload).body
And I found the request sent to Elasticsearch was as following:
POST /_bulk
{"index":{"_index":"logstash-201704","_type":"ruby"}}
{"level":"INFO","message":{"status":200,"time":{"total":46.26,"db":33.88,"view":12.38},"method":"PUT","path":"filtered","params":{"time":3815.904,"chapter_index":0},"response":[{}]},"node":"main","time":"2017-04-09T14:39:06UTC","tag":"filtered.console","#timestamp":"2017-04-09T23:39:06+09:00"}
The problem is message field contains JSON object, although this field is mapped as analyzed string on Elasticsearch.
Following is my log file:
2016-05-20 16:09:06.948UTC DEBUG spray.can.server.HttpServerConnection - Dispatching GET request to https://example.com/2.0/top.json to handler Actor[akka://test-server/system/IO-TCP/selectors/$a/1070#1248431494]
How do I filter "https://example.com/2.0/top.json" from the log file
The grok filter for this kind of log is
%{TIMESTAMP_ISO8601:timestamp}%{TZ:timezone} %{LOGLEVEL:loglevel} %{DATA:package} - %{DATA:dispatching} %{WORD:method} request to %{DATA:url} to handler Actor\[%{DATA:foo}\]
Where the url field = https://example.com/2.0/top.json.
If you want to remove the field you can use this logstash plugin, if you want to replace the field with something else you can use this logstash plugin.
I'm trying to use elasticsearch in pair with logstash and use it for storing my exim logs.
Particularly, I would like to extract message id field from log files to simplify searching on it:
grok {
match => [
"#message", "%{DATE} %{TIME} %{HOSTNAME:msgid} %{GREEDYDATA:details}"
]
}
mutate {
gsub => [
"msgid","[\\\:-]",""
]
}
As elasticsearch tries to parse as Date every string, that contains symbols like : / or -, I'm replacing them with mutate filter.
Unfortunately, even filtered msg id is not accepted by elasticsearch and the question is why?
[2013-12-24 21:32:32,823][DEBUG][action.bulk ] [Piledriver]
[logstash 2013.12.24][0] failed to execute bulk item (index) index
{[logstash-2013.12.24][exim][_7-j53yZRzmARuYsJEfgIA],
source[{"message":"<22>Dec 24 21:32:31 host exim[15691]:
2013-12-24 21:32:31 1VvWmN-000453-Fz Completed",
"#version":"1",
"#timestamp":"2013-12-24T21:32:31.000+03:00",
"type":"exim",
"host":"192.168.169.228",
"syslog_pri":"22",
"syslog_program":"exim",
"syslog_pid":"15691",
"received_at":"2013-12-24 18:32:31 UTC",
"received_from":"192.168.169.228",
"syslog_severity_code":6,
"syslog_facility_code":2,
"syslog_facility":"mail",
"syslog_severity":"informational",
"#source_host":"host",
"#message":"2013-12-24 21:32:31 1VvWmN-000453-Fz Completed",
"msgid":"1VvWmN000453Fz"}]}
org.elasticsearch.index.mapper.MapperParsingException: failed to parse [msgid]
at org.elasticsearch.index.mapper.core.AbstractFieldMapper.parse(AbstractFieldMapper.java:401)
at org.elasticsearch.index.mapper.object.ObjectMapper.serializeValue(ObjectMapper.java:613)
at org.elasticsearch.index.mapper.object.ObjectMapper.parse(ObjectMapper.java:466)
at org.elasticsearch.index.mapper.DocumentMapper.parse(DocumentMapper.java:516)
at org.elasticsearch.index.mapper.DocumentMapper.parse(DocumentMapper.java:460)
at org.elasticsearch.index.shard.service.InternalIndexShard.prepareCreate(InternalIndexShard.java:353)
at org.elasticsearch.action.bulk.TransportShardBulkAction.shardIndexOperation(TransportShardBulkAction.java:402)
at org.elasticsearch.action.bulk.TransportShardBulkAction.shardOperationOnPrimary(TransportShardBulkAction.java:156)
at org.elasticsearch.action.support.replication.TransportShardReplicationOperationAction$AsyncShardOperationAction.performOnPrimary(TransportShardReplicationOperationAction.java:556)
at org.elasticsearch.action.support.replication.TransportShardReplicationOperationAction$AsyncShardOperationAction$1.run(TransportShardReplicationOperationAction.java:426)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:724)
Caused by: org.elasticsearch.index.mapper.MapperParsingException: failed to parse date field [1VvWmN000453Fz], tried both date format [dateOptionalTime], and timestamp number with locale []
at org.elasticsearch.index.mapper.core.DateFieldMapper.parseStringValue(DateFieldMapper.java:487)
at org.elasticsearch.index.mapper.core.DateFieldMapper.innerParseCreateField(DateFieldMapper.java:424)
at org.elasticsearch.index.mapper.core.NumberFieldMapper.parseCreateField(NumberFieldMapper.java:194)
at org.elasticsearch.index.mapper.core.AbstractFieldMapper.parse(AbstractFieldMapper.java:390)
... 12 more
Caused by: java.lang.IllegalArgumentException: Invalid format: "1VvWmN000453Fz" is malformed at "VvWmN000453Fz"
at org.elasticsearch.common.joda.time.format.DateTimeFormatter.parseMillis(DateTimeFormatter.java:754)
at org.elasticsearch.index.mapper.core.DateFieldMapper.parseStringValue(DateFieldMapper.java:481)
... 15 more
Please share your elasticsearch Mapping if you have applied it on your index.
If not then share the default mapping that is getting created once you create the index.
Also you could try giving default mapping as String to msgid