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Alan Bernstein 2020-06-30 11:26:25 -05:00
parent 5a6db1cc2b
commit 31ae30f703
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4
docs/configuration.md
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@ -302,7 +302,7 @@ The config file is in the [toml format](https://github.com/toml-lang/toml) and h
```toml
[metric]
service = “statsd”
service = "statsd"
```
#### Metric Host
@ -319,7 +319,7 @@ The config file is in the [toml format](https://github.com/toml-lang/toml) and h
#### Metric Poll Interval
* Description: Rate at which runtime metrics (such as open file handles and memory usage) are collected.
* Flag: `metric.poll-interval=”0m15s”`
* Flag: `metric.poll-interval="0m15s"`
* Env: `PILOSA_METRIC_POLL_INTERVAL=0m15s`
* Config:

2
docs/examples.md
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@ -81,7 +81,7 @@ lfm := pdk.LinearFloatMapper{
}
```
`Min` and `Max` define the linear function, and `Res` determines the maximum allowed value for the output row ID - we chose these values to produce a “round to nearest integer” behavior. Other predefined mappers have their own specific parameters, usually two or three.
`Min` and `Max` define the linear function, and `Res` determines the maximum allowed value for the output row ID - we chose these values to produce a "round to nearest integer" behavior. Other predefined mappers have their own specific parameters, usually two or three.
This mapper function is the core operation, but we need a few other pieces to define the overall process, which is encapsulated in the ColumnMapper object. This object defines which field(s) of the input data source to use (`Fields`), how to parse them (`Parsers`), what mapping to use (`Mapper`), and the name of the field to use (`Field`). <!-- TODO update so this makes sense -->
```go