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authorHarel Ben-Attia <harelba@gmail.com>2018-12-16 17:45:57 +0200
committerHarel Ben-Attia <harelba@gmail.com>2018-12-16 17:45:57 +0200
commitc9a4240a2e0754a29719040f6aeb9b3759bf4032 (patch)
tree5cfa43b144f1bfc99f09d85bceb763c97678eec5
parent0cf3c0a6a588d1400e0830b7ceb251db5ca77d66 (diff)
wip
-rw-r--r--test/BENCHMARK.md5
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)