53 lines
2.0 KiB
Markdown
53 lines
2.0 KiB
Markdown
# Mercator Test data generator
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Small tool to generate test data for Mercator, a spatial index.
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## Mercator: Spatial Index
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**Mercator** is a spatial *volumetric* index for the [Human Brain Project](http://www.humanbrainproject.eu). It is a component of the [Knowledge Graph](http://www.humanbrainproject.eu/en/explore-the-brain/search/) service, which provides the spatial anchoring for the metadata registered as well as processes the volumetric queries.
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It is build on top of the Iron Sea database toolkit.
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## Iron Sea: Database Toolkit
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**Iron Sea** provides a set of database engine bricks, which can be combined and applied on arbitrary data structures.
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Unlike a traditional database, it does not assume a specific physical structure for the tables nor the records, but relies on the developper to provide a set of extractor functions which are used by the specific indices provided.
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This enables the index implementations to be agnostic from the underlying data structure, and re-used.
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## Requirements
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### Software
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* Rust: https://www.rust-lang.org
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## Quick start
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Checkout the dependencies in the parent folder:
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* mercator_db
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* ironsea_index
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* ironsea_store
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* ironsea_table
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* ironsea_index_hashmap
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* ironsea_index_sfc_dbc
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* ironsea_table_vector
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This tool takes as arguments a list of number of features to generate.
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One thousand (1000) positions are generated per feature. For each number
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provided a dataset will be generated under:
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* `number`k.spaces.json -- The reference spaces for that dataset
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* `number`k.objects.json -- The objects randomly generated (`number` features, each with 1000 positions.)
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Example to create 3 datasets, of 1, 10 and 100 features respectively:
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```sh
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cargo run --release -- 1 10 100
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```
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## Acknowledgements
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This open source software code was developed in part or in whole in the
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Human Brain Project, funded from the European Union’s Horizon 2020
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Framework Programme for Research and Innovation under the Specific Grant
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Agreement No. 785907 (Human Brain Project SGA2).
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