aristus

from math import sqrt, ceil
from gmpy import mpz, is_square, is_prime

fermat = 5959
rsa64 = 16748810522526493651
n = rsa64

report_batch = 1000000

aristus

import math,re

# binary "oodles of magnitude"
KB = 2 ** 10
MB = 2 ** 20
GB = 2 ** 30
TB = 2 ** 40
PB = 2 ** 50

# decimal "oodles of magnitude"

aristus

import basin
import string
from hashlib import sha1

## Fixed-length compact ids for compound keys. Given one or more strings, this will
## concat with delim (default '|'), sha1 hash the result, convert to the given base
## (default 62), truncate to the given length (default 12) and left-pad with zeros.
##
## *** WARNING MATH AHEAD ***
## Here's a handy way to approximate the birthday number for a given bitspace and a

aristus

#!/usr/bin/env python2.7

# Note: this script is for manual benchmarking!

# ./benchmark init-spatial
# time ./benchmark write-spatial
# ./benchmark read-spatial

from memsql.common import connection_pool
import random, math, sys

aristus

#!/bin/bash

    # find-out-what-is-using-your-swap.sh
    # -- Get current swap usage for all running processes
    # --
    # -- rev.0.3, 2012-09-03, Jan Smid          - alignment and intendation, sorting
    # -- rev.0.2, 2012-08-09, Mikko Rantalainen - pipe the output to "sort -nk3" to get sorted output
    # -- rev.0.1, 2011-05-27, Erik Ljungstrom   - initial version

aristus

--- ext/standard/string.c	(revision 301280)
+++ ext/standard/string.c	(working copy)
@@ -1674,6 +1674,105 @@
 }
 /* }}} */

+#define FASTSEARCH_MIN 50
+
+/*
+ * Implementation of "fastsearch" algorithm devised by

aristus

CREATE TABLE `analytics` (
  `classifier_id` bigint unsigned,
  `ts_msec` bigint unsigned,
  `value` double,
  PRIMARY KEY (`classifier_id`,`ts_msec`),
  KEY `ts_msec` (`ts_msec`)
);

CREATE /*!90618 REFERENCE*/ TABLE `classifiers` (
  `id` bigint(20) unsigned NOT NULL,

aristus

from flask import Flask
import torndb

## NB: this default query does not exercise leaf connectivity or
## partition health. For best results, use a query that selects
## a record from an actual data table.
SQL = "select count(1) from information_schema.processlist"
## SQL = "select * from dashboard.analytics limit 1"
## SQL = "show databases extended"

aristus

from hashlib import md5

bloom = 0b0
num_bits = 512

def add_to_bloom(s):
    global bloom

    # int representation of the hashed value
    hash = int(md5(s.encode('utf8')).hexdigest(), 16)

aristus

import random
runs = 10000
rate = 100

for _ in range(50):
    real_sum = 0
    real_cnt = 0
    est_sum = 0
    est_cnt = 0