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author | Harel Ben-Attia <harelba@gmail.com> | 2018-12-16 17:45:57 +0200 |
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committer | Harel Ben-Attia <harelba@gmail.com> | 2018-12-16 17:45:57 +0200 |
commit | c9a4240a2e0754a29719040f6aeb9b3759bf4032 (patch) | |
tree | 5cfa43b144f1bfc99f09d85bceb763c97678eec5 | |
parent | 0cf3c0a6a588d1400e0830b7ceb251db5ca77d66 (diff) |
wip
-rw-r--r-- | test/BENCHMARK.md | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/test/BENCHMARK.md b/test/BENCHMARK.md index bc907c9..5b3a155 100644 --- a/test/BENCHMARK.md +++ b/test/BENCHMARK.md @@ -11,7 +11,7 @@ This is by no means a scientific benchmark, and it only focuses on the data load The idea was to compare the time sensitivity of row and column count. Row counts: 1,10,100,1000,10000,100000,1000000 -Column counts: 1,5,10,20,40,60,80,100 +Column counts: 1,5,10,20,50,100 Iterations for each combination: 3 The benchmark executes simple `select count(*) from <file>` queries for each combination, calculating the mean and stddev of each set of iterations. The stddev is used in order to measure the validity of the results. @@ -29,3 +29,6 @@ OSX Sierra on a 15" Macbook Pro from Mid 2015, with 16GB of RAM, and an internal ### 10 Column Table ![10 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=1904328818&format=image) + +### 20 Column Table +![20 column table](https://docs.google.com/spreadsheets/d/e/2PACX-1vQy9Zm4I322Tdf5uoiFFJx6Oi3Z4AMq7He3fUUtsEQVQIdTGfWgjxFD6k8PAy9wBjvFkqaG26oBgNTP/pubchart?oid=1648886784&format=image) |