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From Josh Mahonin <jmaho...@gmail.com>
Subject Re: bulk-upsert spark phoenix
Date Wed, 28 Sep 2016 17:21:57 GMT
Hi Antonio,

Certainly, a JIRA ticket with a patch would be fantastic.

Thanks!

Josh

On Wed, Sep 28, 2016 at 12:08 PM, Antonio Murgia <antonio.murgia@eng.it>
wrote:

> Thank you very much for your insights Josh, if I decide to develop a small
> Phoenix Library that does, through Spark, what the CSV loader does, I'll
> surely write to the mailing list, or open a Jira, or maybe even open a PR,
> right?
>
> Thank you again
>
> #A.M.
>
> On 09/28/2016 05:10 PM, Josh Mahonin wrote:
>
> Hi Antonio,
>
> You're correct, the phoenix-spark output uses the Phoenix Hadoop
> OutputFormat under the hood, which effectively does a parallel, batch JDBC
> upsert. It should scale depending on the number of Spark executors,
> RDD/DataFrame parallelism, and number of HBase RegionServers, though
> admittedly there's a lot of overhead involved.
>
> The CSV Bulk loading tool uses MapReduce, it's not integrated with Spark.
> It's likely possible to do so, but it's probably a non-trivial amount of
> work. If you're interested in taking it on, I'd start with looking at the
> following classes:
>
> https://github.com/apache/phoenix/blob/master/phoenix-
> core/src/main/java/org/apache/phoenix/mapreduce/CsvBulkLoadTool.java
> https://github.com/apache/phoenix/blob/master/phoenix-
> core/src/main/java/org/apache/phoenix/mapreduce/AbstractBulkLoadTool.java
> https://github.com/apache/phoenix/blob/master/phoenix-
> core/src/main/java/org/apache/phoenix/mapreduce/PhoenixOutputFormat.java
> https://github.com/apache/phoenix/blob/master/phoenix-
> core/src/main/java/org/apache/phoenix/mapreduce/PhoenixRecordWriter.java
> https://github.com/apache/phoenix/blob/master/phoenix-
> spark/src/main/scala/org/apache/phoenix/spark/DataFrameFunctions.scala
>
> Good luck,
>
> Josh
>
> On Tue, Sep 27, 2016 at 10:43 AM, Antonio Murgia <antonio.murgia@eng.it>
> wrote:
>
>> Hi,
>>
>> I would like to perform a Bulk insert to HBase using Apache Phoenix from
>> Spark. I tried using Apache Spark Phoenix library but, as far as I was
>> able to understand from the code, it looks like it performs a jdbc batch
>> of upserts (am I right?). Instead I want to perform a Bulk load like the
>> one described in this blog post
>> (https://zeyuanxy.github.io/HBase-Bulk-Loading/) but taking advance of
>> the automatic transformation between java/scala types to Bytes.
>>
>> I'm actually using phoenix 4.5.2, therefore I cannot use hive to
>> manipulate the phoenix table, and if it possible i want to avoid to
>> spawn a MR job that reads data from csv
>> (https://phoenix.apache.org/bulk_dataload.html). Actually i just want to
>> do what the csv loader is doing with MR but programmatically with Spark
>> (since the data I want to persist is already loaded in memory).
>>
>> Thank you all!
>>
>>
>
>

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