xuhong created FLINK-1476:
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Summary: Flink VS Spark on loop test
Key: FLINK-1476
URL: https://issues.apache.org/jira/browse/FLINK-1476
Project: Flink
Issue Type: Test
Affects Versions: 0.8, 0.7.0-incubating
Environment: 3 machines, every machines has 24 CPU cores and allocate
16 CPU cores for the tests. The memory situation is: 3 * 32G
Reporter: xuhong
Priority: Critical
In the last days, i did some test on flink and spark. The test results
shows that flink can do better on many operations, such as GroupBy, Join and
some complex jobs. But when I do the KMeans, LinearRegression and other loop
tests, i found that flink is no more excellent than spark. I want to konw,
whether flink is more comfortable to do the loop jobs with spark.
I add code: env.setDegreeOfParallelism(16) in each test to allocate same
CPU cores as in Spark tests.
My english is not good, i wish you guys can understand me!
the following is some config of my Flnk:
jobmanager.rpc.port: 6123
jobmanager.heap.mb: 2048
taskmanager.heap.mb: 2048
taskmanager.numberOfTaskSlots: 24
parallelization.degree.default: 72
jobmanager.web.port: 8081
webclient.port: 8085
fs.overwrite-files: true
taskmanager.memory.fraction: 0.8
taskmanager.network.numberofBuffers: 70000
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