similar style off-heap memory
mgmt, more planning optimizations
*From:* Jerry Lam [mailto:chiling...@gmail.com chiling...@gmail.com]
*Sent:* Sunday, July 5, 2015 6:28 PM
*To:* Ted Yu
*Cc:* Slim Baltagi; user
*Subject:* Re: Benchmark results between Flink and Spark
Hi guys,
I just read
]
Sent: Sunday, July 5, 2015 6:28 PM
To: Ted Yu
Cc: Slim Baltagi; user
Subject: Re: Benchmark results between Flink and Spark
Hi guys,
I just read the paper too. There is no much information regarding why Flink
is faster than Spark for data science type of workloads in the benchmark
, July 5, 2015 6:28 PM
To: Ted Yu
Cc: Slim Baltagi; user
Subject: Re: Benchmark results between Flink and Spark
Hi guys,
I just read the paper too. There is no much information regarding why Flink
is faster than Spark for data science type of workloads in the benchmark. It
is very
in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Benchmark-results-between-Flink-and-Spark-tp23626.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
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-between-Flink-and-Spark-tp23626.html
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, Martin Roth and Bogdan
Franczyk is available for preview at http://goo.gl/WocQci on pages 28-37.
Enjoy!
Slim Baltagi
http://www.SparkBigData.com
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View this message in context:
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,
more planning optimizations
From: Jerry Lam [mailto:chiling...@gmail.com]
Sent: Sunday, July 5, 2015 6:28 PM
To: Ted Yu
Cc: Slim Baltagi; user
Subject: Re: Benchmark results between Flink and Spark
Hi guys,
I just read the paper too. There is no much information regarding why Flink
