### Install mrfparse with go install

Source: https://github.com/danielchalef/mrfparse/blob/main/README.md

Install the latest version of mrfparse using the go install command.

```bash
go install github.com/danielchalef/mrfparse@latest
```

--------------------------------

### mrfparse Configuration Example

Source: https://github.com/danielchalef/mrfparse/blob/main/README.md

Example configuration for mrfparse using a YAML file. This sets logging level, service file location, writer parameters, and pipeline timeouts.

```yaml
log:
  level: info
services:
  file: services.csv
writer:
  max_rows_per_file: 100_000_000
  filename_template: "_%04d.zstd.parquet"
  max_rows_per_group: 1_000_000
tmp:
  path: /tmp
pipeline:
  download_timeout: 20          # minutes
```

--------------------------------

### Build mrfparse binary with Makefile

Source: https://github.com/danielchalef/mrfparse/blob/main/README.md

Build the mrfparse binary using the default Makefile target.

```bash
make
```

--------------------------------

### Build mrfparse Docker image with Makefile

Source: https://github.com/danielchalef/mrfparse/blob/main/README.md

Build the Docker image for mrfparse using the 'docker-build' target in the Makefile.

```bash
make docker-build
```

--------------------------------

### Release mrfparse Docker image with Makefile

Source: https://github.com/danielchalef/mrfparse/blob/main/README.md

Release the mrfparse Docker image to a registry after editing the Makefile for registry and tag. Use the 'docker-release' target.

```bash
make docker-release
```

--------------------------------

### Parse Gzipped MRF to S3

Source: https://github.com/danielchalef/mrfparse/blob/main/README.md

Use this command to parse a gzipped MRF file from a URL and output the resulting parquet dataset to an S3 bucket. The `-p` flag specifies the number of parallel workers.

```bash
mrfparse pipeline -i https://mrf.healthsparq.com/aetnacvs/inNetworkRates/2022-12-05_Innovation-Health-Plan-Inc.json.gz \
                  -o s3://mrfdata/staging/2022-12-05/aetnacvs/ \
                  -p 99
```

--------------------------------

### Parse Gzipped MRF to Local Filesystem

Source: https://github.com/danielchalef/mrfparse/blob/main/README.md

This command parses a gzipped MRF file from a Google Cloud Storage bucket and saves the parquet dataset to the local filesystem. Ensure you have the necessary GCS credentials configured.

```bash
mrfparse pipeline -i gs://mrfdata/staging/2022-12-05_Innovation-Health-Plan-Inc.json.gz \
                  -o mrfdata/staging/2022-12-05/aetnacvs/ \
                  -p 99
```

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