hi, guys,
I am trying to get a rough idea about the performance comparison between
c++ and java client when access HBase table, and is surprised to find out
that Thrift (c++) is 4X slower
The performance result is:
C++: real *16m11.313s*; user 5m3.642s; sys 2m21.388s
Java: real *4m6.012s*;user 0m31.228s; sys 0m8.018s
I have a single node HBase(98.6) cluster, with 1X TPCH loaded, and use the
largest table : lineitem, which has 6M rows, roughly 600MB data.
For c++ client, I used the thrift example provided by hbase-examples, the
C++ code looks like:
> std::string t("lineitem");
> int scanner = client.scannerOpenWithScan(t, tscan, dummyAttributes);
> int count = 0;
> ..
> while (true) {
> std::vector<TRowResult> value;
> client.scannerGet(value, scanner);
> if (value.size() == 0) break;
> count ++;
> }
>
> std::cout << count << " rows scanned"<< std::endl;
>
For java client is the most simple one:
> HTable table = new HTable(conf,"lineitem");
>
> Scan scan = new Scan();
> ResultScanner resScanner;
> resScanner = table.getScanner(scan);
> int count = 0;
> for (Result res: resScanner) {
> count ++;
> }
>
Since most of the time should be on I/O, I don't expect any significant
difference between Thrift(C++) and Java. Any ideas? Many thanks
Demai
