Viewing profile — jnewhouse
jnewhouse
HN member- Joined
- Mon, Dec 08, 2014, 7:10 AM UTC
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- 60
- Public activity
- 17 items
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About jnewhouse
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Recent public activity
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Comment #39747225
Yep, pretty much. Right now filesystem^ sources are finite, scanning the target path at operator startup time and processing all matching files. This processing is done by opening …
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Comment #39747033
For the SQL interface, both sources and sinks are treated as tables. Sources you SELECT FROM, while sinks you INSERT INTO. Right now it is incumbent on the user to correctly specif…
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Comment #36226030
Hi there! We actually already have a built-in Nexmark source. It's pretty useful for developing new capabilities, and available as a source out of the box. Just read through the DB…
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Comment #14101941
Nope, Kudu https://kudu.apache.org/ . Although from Arrow's homepage it looks like it works with Kudu. "Apache Arrow is backed by key developers of 13 major open source projects, i…
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Comment #14101425
I don't think protobuf was around for public use when we came up with this format, which began around 2005. We use Protobuf internally, and some of our columns are actually byte[]'…
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Comment #14101358
It natively supports a limited set of Columns. Basically boxed primitives, java.util.Date, joda.time.DateTime, and arrays and double arrays of both boxed and unboxed versions of th…
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Comment #14101250
Those switches all occurred at the pipeline level, leaving the map-reduce platform untouched. Switching our base logs to something like Parquet, Thrift or Protobuf would be a much …
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Comment #14101096
I think what I'd heard about was likely a poorly implemented use of Avro. I haven't actually worked with it.
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Comment #14101078
We started developing rowfiles around 2005. Thrift wasn't open sourced until 2007. I couldn't find a date for protobuf's release, but I don't think it was standard outside of googl…
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Comment #14100333
If you want more details, we were packing a Row class into a base64 encoded string using an ObjectOutputStream. This is a fine thing for small scale serialization but sucks at scal…
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Comment #14100298
A standard database table isn't large enough to handle our large datasets. For example, the Hercules dataset was over 2 petabytes and even after optimization is almost 1 petabyte. …
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Comment #14100161
We're a big data advertise and measure company based in San Francisco. We run online display ad campaigns for marketers across realtime bidding exchanges (RTB), such as those run b…
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Comment #14099933
Author here, let me know if you have any questions/want more details.
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