Hadoop integration with offline store #1382
Replies: 4 comments 4 replies
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We're going to try to make it super easy to add new stores. Have a look at the interface we've started building over here: feast/sdk/python/feast/offline_store.py Line 81 in a541b1d It should be ready for contribution in a few weeks. |
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@woop is any news about this feature ? |
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Hey @Andrew32bit. We'll be shipping the latest Feast in line with www.applyconf.com later this month. Right now we're cleaning up these interfaces. Essentially you'll need to extend a "provider" interface to add support for an offline store. One thing that isn't clear to me: Are you looking for Hive or HDFS support? |
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Hi! I am very interested in integrating Feast with an existing Hadoop + Hive + Spark environment (Kerberos auth, on premise). The ideal scenario would be to be able to query Hive to get historical features while training models, and IIUC this may become possible if somebody implements the OfflineStore() API. After reading https://github.com/feast-dev/feast/blob/master/examples/minimal/minimal_ride_hailing.ipynb I am wondering what is best though, IIUC Spark can be used to pull data into dataframes when calling |
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Hello! is it possible to see in near future hadoop integration with offline FS?
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