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Core: Use Neo4j Spark connector for importing data #48

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mattigrthr opened this issue Jul 19, 2021 · 0 comments · Fixed by #52
Closed

Core: Use Neo4j Spark connector for importing data #48

mattigrthr opened this issue Jul 19, 2021 · 0 comments · Fixed by #52
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@mattigrthr
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core Issues related to the core enhancement New feature or request
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Kuwala
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Speed-up OSM and ...

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@mattigrthr
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Instead of sending the insertion queries through the Neo4j Python driver, we should use the Spark Neo4j connector to read the preprocessed population and OSM Parquet files and make the inserts. The Spark driver batches the queries automatically, which should speed up the entire population process.

It depends on #47
@mattigrthr mattigrthr added enhancement New feature or request core Issues related to the core labels Jul 19, 2021
@mattigrthr mattigrthr added this to To do in Kuwala via automation Jul 19, 2021
@mattigrthr mattigrthr self-assigned this Aug 11, 2021
@mattigrthr mattigrthr moved this from To do to In progress in Kuwala Aug 11, 2021
@mattigrthr mattigrthr mentioned this issue Aug 11, 2021
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Kuwala automation moved this from In progress to Done Aug 21, 2021
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@mattigrthr mattigrthr

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core Issues related to the core enhancement New feature or request
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Kuwala
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Speed-up OSM and Population Processing
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Speed up OSM processing and switch to Python kuwala-io/kuwala
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@mattigrthr