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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request primarily focuses on integrating a new placeholder log type, 'DUMMY_LOGTYPE', into the system. It includes all necessary components for a new log type, such as its parsing configuration, descriptive metadata, and a full set of test data to ensure proper functionality. This work appears to lay the groundwork or serve as an example for future log type additions. Additionally, a minor formatting change was applied to the project's contributing documentation. Highlights
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Code Review
This pull request adds a new Logstash parser for DUMMY_LOGTYPE, including configuration, metadata, and test files. My review focuses on improving the Logstash configuration for correctness and maintainability, and cleaning up some issues in the test data and documentation. Key suggestions include removing unused field initializations, improving the grok filter logic, combining mutate blocks for efficiency, and addressing duplicated test files. I've also pointed out a minor typo and a formatting issue.
| grok { | ||
| match => { | ||
| "message" => [ | ||
| "%{GREEDYDATA:event_data} \\| %{GREEDYDATA:kv_msg}" | ||
| ] | ||
| } | ||
| overwrite => ["event_data" ,"msg" ,"kv_msg"] | ||
| on_error => "grok_failure" | ||
| } | ||
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There are a couple of improvements for this grok filter:
- The
overwriteconfiguration includesmsg, but the grok pattern does not generate amsgfield. This can be confusing and should be removed. - The
grokfilter may leave leading/trailing whitespace in the extracted fieldsevent_dataandkv_msg. This can cause issues with subsequent processing, such as thegsubfilter. It's a good practice to strip whitespace from fields extracted by grok.
grok {
match => {
"message" => [
"%{GREEDYDATA:event_data} \| %{GREEDYDATA:kv_msg}"
]
}
overwrite => ["event_data", "kv_msg"]
on_error => "grok_failure"
}
mutate {
strip => ["event_data", "kv_msg"]
}
| replace => { | ||
| "event_data" => "" | ||
| "productlogid" => "" | ||
| "kv_msg" => "" | ||
| "msg" => "" | ||
| "deviceCustomDate1" => "" | ||
| "rt" => "" | ||
| } |
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| mutate { | ||
| replace => { | ||
| "msg_label.key" => "msg" | ||
| } | ||
| } | ||
| mutate { | ||
| merge => { | ||
| "event.idm.read_only_udm.additional.fields" => "msg_label" | ||
| } | ||
| on_error => "msg_label_empty" | ||
| } |
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These two mutate blocks can be combined into a single one for better readability and slightly better performance by reducing the number of filter invocations.
mutate {
replace => {
"msg_label.key" => "msg"
}
merge => {
"event.idm.read_only_udm.additional.fields" => "msg_label"
}
on_error => "msg_label_empty"
}
| "@output" => "event" | ||
| } | ||
| } | ||
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| { | ||
| "product": "DUMMY Product", | ||
| "vendor": "Test Vendor", | ||
| "description": "Some sort of product from this vendorrrr.", |
| { | ||
| "events": [ | ||
| { | ||
| "event" : { | ||
| "timestamp": "2021-03-23T08:20:27.863384Z", | ||
| "idm": { | ||
| "read_only_udm": { | ||
| "metadata": { | ||
| "event_timestamp": "2021-03-23T08:20:27.863384Z", | ||
| "event_type": "GENERIC_EVENT", | ||
| "description": "No New Ingestion Activity" | ||
| }, | ||
| "additional": { | ||
| "msg": "No reports have been ingested since MAR 23 2021 00:18:31." | ||
| } | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "event" : { | ||
| "timestamp": "2021-03-23T08:20:27.863384Z", | ||
| "idm": { | ||
| "read_only_udm": { | ||
| "metadata": { | ||
| "event_timestamp": "2021-03-23T08:20:27.863384Z", | ||
| "event_type": "GENERIC_EVENT", | ||
| "description": "No New Ingestion Activity" | ||
| }, | ||
| "additional": { | ||
| "msg": "No reports have been ingested since MAR 23 2021 00:18:32." | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| ] | ||
| } |
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