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@ -298,6 +298,36 @@ Depending on how much data you've imported, now may be a good time to grab a cof
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lookup, the fastest speeds you'll see are around 10,000 records per second. With admin lookup, |
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expect around 800-2000 inserts per second. |
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### Install Libpostal (optional, but recommended) |
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Pelias is now able to use the [libpostal](https://github.com/openvenues/libpostal) address parser, |
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which greatly increases the quality of search results. Libpostal must be installed on the machines |
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running the Pelias API, and requires about 4GB of disk space to download all the required data. This |
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data represents a statistical natural language processing model of address parsing trained on |
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OpenStreetMap data. The API will also require about 2GB of memory (it used only a few hundred |
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before), to store the needed data for queries. |
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First, install libpostal following its [installation docs](https://github.com/openvenues/libpostal#installation). |
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This will also download the training data, so be sure to have enough free disk space. |
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Next, configure the Pelias API to use libpostal (it won't by default) by adding a section like this |
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to `pelias.json`: |
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```json |
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{ |
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"api": { |
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"textParser": "libpostal" |
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} |
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} |
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``` |
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In the future, libpostal may become the default, and we may drop support for |
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[addressit](https://github.com/DamonOehlman/addressit), the current default text parser. Until then, |
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the `textParser` property can be changed back to `addressit` (or removed) to stop using libpostal. |
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Once configured, the API will use libpostal via the [node-postal](https://github.com/openvenues/node-postal) |
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NPM module. |
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### Start the API |
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As soon as you have any data in Elasticsearch, you can start running queries against the |
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