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authorCosta Tsaousis (ktsaou) <costa@tsaousis.gr>2015-09-22 02:29:20 +0300
committerCosta Tsaousis (ktsaou) <costa@tsaousis.gr>2015-09-22 02:29:20 +0300
commita3e53f73d2f5c3009b68b97f03506c6b51e53567 (patch)
treeb8e395cef2c18d4bf0d96995fc5cc74b9938654f
parent2f433091d79b88e703104fa56a8de945ccc533e0 (diff)
updated readme
-rwxr-xr-xREADME.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/README.md b/README.md
index 41fd4bdd32..54725d3b2f 100755
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@ Here is a screenshot:
It only needs a few megabytes of memory to store all its round robin database.
- Internally, it uses a **custom-made 32-bit number** to store all the values, along with a limited number of metadata for each collected value. This custom-made number can store in 29 bits values from -167772150000000.0 to 167772150000000.0 with a precision of 0.00001 (yes, it is a floating point number, meaning that higher integer values have less decimal precision) and 3 bits for flags (2 are currently used and 1 is reserved for future use). This provides an extremely optimized memory footprint.
+ Internally, it uses a **custom-made 32-bit number** to store all the values, along with a limited number of metadata for each collected value. This custom-made number can store in 29 bits values from -167772150000000.0 to 167772150000000.0 with a precision of 0.00001 (yes, it is a floating point number, meaning that higher integer values have less decimal precision) and 3 bits for flags (2 are currently used and 1 is reserved for future use). This provides an extremely optimized memory footprint with just 0.0001% max accuracy loss (run: `./netdata --unittest` to see it in action).
- **per second data collection**