This is a filter that lets you completely drop an event and can be used both during queries and within the parser pipeline. When the event is dropped it is removed entirely, either during parsing, which means it is not ingested into LogScale, or within a query, where effectively removes the event from the query output.

Note

The dropEvent() does not accept any arguments.

dropEvent() Examples

Dropping Events based on Parsing JSON Value

Query
flowchart LR; repo{{Events}} 0[/Filter/] 1[/Filter/] result{{Result Set}} repo --> 0 0 --> 1 1 --> result
logscale
case {
@rawstring="#*" 
| dropEvent();
* }
Introduction

When parsing incoming data, it's possible the data may include 'commented' data, for example the # character is often used to identify comments in files rather than real data. This example removes those lines from the ingest process during parsing using the dropEvent() function to drop the entire event from the ingest pipeline.

Step-by-Step
  1. Starting with the source repository events

  2. flowchart LR; repo{{Events}} 0[/Filter/] 1[/Filter/] result{{Result Set}} repo --> 0 0 --> 1 1 --> result style 0 fill:#ff0000,stroke-width:4px,stroke:#000;

    Start a case statement, with the first matching expression looking for the hash symbol in a line to indiciate that it could be removed, then dropping the entire event using dropEvent()

    logscale
    case {
    @rawstring="#*" 
    | dropEvent();
  3. flowchart LR; repo{{Events}} 0[/Filter/] 1[/Filter/] result{{Result Set}} repo --> 0 0 --> 1 1 --> result style 1 fill:#ff0000,stroke-width:4px,stroke:#000;

    For all other lines, the case expression matches all other events and lets them through.

    logscale
    * }
  4. Event Result set

Summary and Results

An example of removing data during ingest that matches a typical source construct (the comment).

Ignoring Commented Lines During Parsing by Dropping Events

Query
flowchart LR; repo{{Events}} 0[/Filter/] 1[/Filter/] 2[/Filter/] result{{Result Set}} repo --> 0 0 --> 1 1 --> 2 2 --> result
logscale
parseJson()
| case { someField = "some_value" 
| dropEvent(); * }
| parseTimestamp(field=@timestamp)
Introduction

The dropEvent() function is often used within parsers to drop events during parsing that do not need to be ingested. The following example shows how to filter events as part of a parser by matching a particular field value from being ingested.

Step-by-Step
  1. Starting with the source repository events

  2. flowchart LR; repo{{Events}} 0[/Filter/] 1[/Filter/] 2[/Filter/] result{{Result Set}} repo --> 0 0 --> 1 1 --> 2 2 --> result style 0 fill:#ff0000,stroke-width:4px,stroke:#000;

    First parse the incoming data to identify JSON values and convert them into a usable field.

    logscale
    parseJson()
  3. flowchart LR; repo{{Events}} 0[/Filter/] 1[/Filter/] 2[/Filter/] result{{Result Set}} repo --> 0 0 --> 1 1 --> 2 2 --> result style 1 fill:#ff0000,stroke-width:4px,stroke:#000;

    Start a case statement, with the first matching expression identifying a field value in the extracted JSON field from the previous step, and then dropping the event. This has the effect of terminating the parsing for this event as there is no more data to be processed.

    logscale
    | case { someField = "some_value" 
    | dropEvent(); * }
  4. flowchart LR; repo{{Events}} 0[/Filter/] 1[/Filter/] 2[/Filter/] result{{Result Set}} repo --> 0 0 --> 1 1 --> 2 2 --> result style 2 fill:#ff0000,stroke-width:4px,stroke:#000;

    For all other events that dont match the JSON value, parse the timestamp from the @timestamp field.

    logscale
    | parseTimestamp(field=@timestamp)
  5. Event Result set

Summary and Results

dropEvent() is a simple and practical way of eliminating events during parsing incoming data.