Add support for Spark SQL #29
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| redisConfig.hosts.filter(node => { node.startSlot <= slot && node.endSlot >= slot }).filter(_.idx == 0)(0) | ||
| } | ||
| def insert(data: DataFrame, overwrite: Boolean): Unit = { | ||
| data.foreach{ |
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It would be much much faster if we partition the data somehow and group the queries to be sent in a pipeline. The current way is very slow.
WDYT?
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Perhaps we can add to Endpoint something like "getPipeline" and "syncPipeline". so we can flush at the end and not for each row.
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Good idea, will use pipeline first.
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I'm merging it, but some documentation is needed still, including in the main doc. I'll create a separate issue for it. |
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