[ 
https://issues.apache.org/jira/browse/CASSANDRA-16610?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Stefan Miklosovic updated CASSANDRA-16610:
------------------------------------------
    Description: 
I implemented partitioner based on XXHash algorithm.

There are two branches, the first xxhash, extracts common parts with Murmur as 
there is a lot of overlap between these two.

The second branch just copies everything from Murmur and changes just bits 
which are necessary.

I am not sure what path we want to go with so I just provided both to easier 
elaborate on.

I have written a microbenchmark measuring both partitioners and XXHash 
implementation is very fast, around 10x faster (on greater payloads). Benchmark 
is included in xxhash-2 branch.

https://github.com/instaclustr/cassandra/tree/xxhash-2

https://github.com/instaclustr/cassandra/tree/xxhash

{code:java}
[java] Benchmark                                  (bufferSize)  Mode  Cnt      
Score   Error  Units
[java] PartitionersBench.benchMurmur3Partitioner            31  avgt   20    
157.942 ± 0.110  ns/op
[java] PartitionersBench.benchMurmur3Partitioner            67  avgt   20    
204.670 ± 0.152  ns/op
[java] PartitionersBench.benchMurmur3Partitioner           131  avgt   20    
361.068 ± 0.228  ns/op
[java] PartitionersBench.benchMurmur3Partitioner           517  avgt   20   
1325.670 ± 1.255  ns/op
[java] PartitionersBench.benchMurmur3Partitioner          1031  avgt   20   
2594.651 ± 2.725  ns/op
[java] PartitionersBench.benchMurmur3Partitioner          2041  avgt   20   
5082.166 ± 1.721  ns/op
[java] PartitionersBench.benchMurmur3Partitioner          4097  avgt   20  
10112.020 ± 3.637  ns/op
[java] PartitionersBench.benchXXHashPartitioner             31  avgt   20     
40.650 ± 0.025  ns/op
[java] PartitionersBench.benchXXHashPartitioner             67  avgt   20     
53.305 ± 0.035  ns/op
[java] PartitionersBench.benchXXHashPartitioner            131  avgt   20     
67.098 ± 0.057  ns/op
[java] PartitionersBench.benchXXHashPartitioner            517  avgt   20    
150.415 ± 0.107  ns/op
[java] PartitionersBench.benchXXHashPartitioner           1031  avgt   20    
265.614 ± 0.140  ns/op
[java] PartitionersBench.benchXXHashPartitioner           2041  avgt   20    
365.796 ± 0.225  ns/op
[java] PartitionersBench.benchXXHashPartitioner           4097  avgt   20    
925.841 ± 0.664  ns/op
{code}

{code:java}
[java] PartitionersBench.benchMurmur3Partitioner             3  avgt    5  
44.516 ± 0.345  ns/op
[java] PartitionersBench.benchMurmur3Partitioner             5  avgt    5  
54.930 ± 0.450  ns/op
[java] PartitionersBench.benchMurmur3Partitioner             7  avgt    5  
63.428 ± 0.266  ns/op
[java] PartitionersBench.benchMurmur3Partitioner             9  avgt    5  
69.456 ± 0.467  ns/op
[java] PartitionersBench.benchMurmur3Partitioner            11  avgt    5  
81.411 ± 0.535  ns/op
[java] PartitionersBench.benchMurmur3Partitioner            16  avgt    5  
68.621 ± 0.417  ns/op
[java] PartitionersBench.benchXXHashPartitioner              3  avgt    5  
26.820 ± 0.271  ns/op
[java] PartitionersBench.benchXXHashPartitioner              5  avgt    5  
28.182 ± 0.139  ns/op
[java] PartitionersBench.benchXXHashPartitioner              7  avgt    5  
31.557 ± 0.161  ns/op
[java] PartitionersBench.benchXXHashPartitioner              9  avgt    5  
31.017 ± 0.212  ns/op
[java] PartitionersBench.benchXXHashPartitioner             11  avgt    5  
33.233 ± 0.136  ns/op
[java] PartitionersBench.benchXXHashPartitioner             16  avgt    5  
31.386 ± 0.128  ns/op
{code}

https://github.com/OpenHFT/Zero-Allocation-Hashing
https://cyan4973.github.io/xxHash/






  was:
I implemented partitioner based on XXHash algorithm.

There are two branches, the first xxhash, extracts common parts with Murmur as 
there is a lot of overlap between these two.

The second branch just copies everything from Murmur and changes just bits 
which are necessary.

I am not sure what path we want to go with so I just provided both to easier 
elaborate on.

I have written a microbenchmark measuring both partitioners and XXHash 
implementation is very fast, around 10x faster (on greater payloads). Benchmark 
is included in xxhash-2 branch.

https://github.com/instaclustr/cassandra/tree/xxhash-2

https://github.com/instaclustr/cassandra/tree/xxhash

{code:java}
[java] Benchmark                                  (bufferSize)  Mode  Cnt      
Score   Error  Units
[java] PartitionersBench.benchMurmur3Partitioner            31  avgt   20    
157.942 ± 0.110  ns/op
[java] PartitionersBench.benchMurmur3Partitioner            67  avgt   20    
204.670 ± 0.152  ns/op
[java] PartitionersBench.benchMurmur3Partitioner           131  avgt   20    
361.068 ± 0.228  ns/op
[java] PartitionersBench.benchMurmur3Partitioner           517  avgt   20   
1325.670 ± 1.255  ns/op
[java] PartitionersBench.benchMurmur3Partitioner          1031  avgt   20   
2594.651 ± 2.725  ns/op
[java] PartitionersBench.benchMurmur3Partitioner          2041  avgt   20   
5082.166 ± 1.721  ns/op
[java] PartitionersBench.benchMurmur3Partitioner          4097  avgt   20  
10112.020 ± 3.637  ns/op
[java] PartitionersBench.benchXXHashPartitioner             31  avgt   20     
40.650 ± 0.025  ns/op
[java] PartitionersBench.benchXXHashPartitioner             67  avgt   20     
53.305 ± 0.035  ns/op
[java] PartitionersBench.benchXXHashPartitioner            131  avgt   20     
67.098 ± 0.057  ns/op
[java] PartitionersBench.benchXXHashPartitioner            517  avgt   20    
150.415 ± 0.107  ns/op
[java] PartitionersBench.benchXXHashPartitioner           1031  avgt   20    
265.614 ± 0.140  ns/op
[java] PartitionersBench.benchXXHashPartitioner           2041  avgt   20    
365.796 ± 0.225  ns/op
[java] PartitionersBench.benchXXHashPartitioner           4097  avgt   20    
925.841 ± 0.664  ns/op
{code}

https://github.com/OpenHFT/Zero-Allocation-Hashing
https://cyan4973.github.io/xxHash/







> Implement XXHashPartitioner
> ---------------------------
>
>                 Key: CASSANDRA-16610
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-16610
>             Project: Cassandra
>          Issue Type: New Feature
>          Components: Legacy/Core
>            Reporter: Stefan Miklosovic
>            Priority: Normal
>         Attachments: jmh-result.json
>
>
> I implemented partitioner based on XXHash algorithm.
> There are two branches, the first xxhash, extracts common parts with Murmur 
> as there is a lot of overlap between these two.
> The second branch just copies everything from Murmur and changes just bits 
> which are necessary.
> I am not sure what path we want to go with so I just provided both to easier 
> elaborate on.
> I have written a microbenchmark measuring both partitioners and XXHash 
> implementation is very fast, around 10x faster (on greater payloads). 
> Benchmark is included in xxhash-2 branch.
> https://github.com/instaclustr/cassandra/tree/xxhash-2
> https://github.com/instaclustr/cassandra/tree/xxhash
> {code:java}
> [java] Benchmark                                  (bufferSize)  Mode  Cnt     
>  Score   Error  Units
> [java] PartitionersBench.benchMurmur3Partitioner            31  avgt   20    
> 157.942 ± 0.110  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner            67  avgt   20    
> 204.670 ± 0.152  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner           131  avgt   20    
> 361.068 ± 0.228  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner           517  avgt   20   
> 1325.670 ± 1.255  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner          1031  avgt   20   
> 2594.651 ± 2.725  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner          2041  avgt   20   
> 5082.166 ± 1.721  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner          4097  avgt   20  
> 10112.020 ± 3.637  ns/op
> [java] PartitionersBench.benchXXHashPartitioner             31  avgt   20     
> 40.650 ± 0.025  ns/op
> [java] PartitionersBench.benchXXHashPartitioner             67  avgt   20     
> 53.305 ± 0.035  ns/op
> [java] PartitionersBench.benchXXHashPartitioner            131  avgt   20     
> 67.098 ± 0.057  ns/op
> [java] PartitionersBench.benchXXHashPartitioner            517  avgt   20    
> 150.415 ± 0.107  ns/op
> [java] PartitionersBench.benchXXHashPartitioner           1031  avgt   20    
> 265.614 ± 0.140  ns/op
> [java] PartitionersBench.benchXXHashPartitioner           2041  avgt   20    
> 365.796 ± 0.225  ns/op
> [java] PartitionersBench.benchXXHashPartitioner           4097  avgt   20    
> 925.841 ± 0.664  ns/op
> {code}
> {code:java}
> [java] PartitionersBench.benchMurmur3Partitioner             3  avgt    5  
> 44.516 ± 0.345  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner             5  avgt    5  
> 54.930 ± 0.450  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner             7  avgt    5  
> 63.428 ± 0.266  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner             9  avgt    5  
> 69.456 ± 0.467  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner            11  avgt    5  
> 81.411 ± 0.535  ns/op
> [java] PartitionersBench.benchMurmur3Partitioner            16  avgt    5  
> 68.621 ± 0.417  ns/op
> [java] PartitionersBench.benchXXHashPartitioner              3  avgt    5  
> 26.820 ± 0.271  ns/op
> [java] PartitionersBench.benchXXHashPartitioner              5  avgt    5  
> 28.182 ± 0.139  ns/op
> [java] PartitionersBench.benchXXHashPartitioner              7  avgt    5  
> 31.557 ± 0.161  ns/op
> [java] PartitionersBench.benchXXHashPartitioner              9  avgt    5  
> 31.017 ± 0.212  ns/op
> [java] PartitionersBench.benchXXHashPartitioner             11  avgt    5  
> 33.233 ± 0.136  ns/op
> [java] PartitionersBench.benchXXHashPartitioner             16  avgt    5  
> 31.386 ± 0.128  ns/op
> {code}
> https://github.com/OpenHFT/Zero-Allocation-Hashing
> https://cyan4973.github.io/xxHash/



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