mirror of
https://github.com/Cacti/cacti.git
synced 2026-10-30 16:47:14 +09:00
Patrick
56e02d75f2
- Optimisations of query calls and function calls in loops - Removed unused function calls and variables - Refactored large if statements into switch statements - Applied early return - Fixed alignments and removed unnecessary parentheses
525 lines
21 KiB
PHP
525 lines
21 KiB
PHP
<?php
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/*
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+-------------------------------------------------------------------------+
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| Copyright (C) 2004-2017 The Cacti Group |
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| |
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| This program is free software; you can redistribute it and/or |
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| modify it under the terms of the GNU General Public License |
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| as published by the Free Software Foundation; either version 2 |
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| of the License, or (at your option) any later version. |
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| This program is distributed in the hope that it will be useful, |
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| but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| GNU General Public License for more details. |
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+-------------------------------------------------------------------------+
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| Cacti: The Complete RRDTool-based Graphing Solution |
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+-------------------------------------------------------------------------+
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| This code is designed, written, and maintained by the Cacti Group. See |
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| about.php and/or the AUTHORS file for specific developer information. |
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+-------------------------------------------------------------------------+
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| http://www.cacti.net/ |
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+-------------------------------------------------------------------------+
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*/
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/* nth_percentile - given a data source, calculate the Nth percentile for a given
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time period
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@arg $local_data_id - the data source to perform the Nth percentile calculation
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@arg $start_seconds - start seconds of time range
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@arg $stop_seconds - stop seconds of time range
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@arg $percentile - Nth Percentile to calculate, integer between 1 and 99
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@arg $resolution - the accuracy of the data measured in seconds
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@returns - (array) an array containing each data source item, and its 95th percentile */
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function nth_percentile($local_data_id, $start_seconds, $end_seconds, $percentile = 95, $resolution = 0) {
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global $config;
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include_once($config['library_path'] . '/rrd.php');
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/* Check to see if we have array, if array, we are doing complex 95th calculations */
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if (is_array($local_data_id)) {
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$sum_array = array();
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$fetch_array = array();
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$i = 0;
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/* do a fetch for each data source */
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foreach ($local_data_id as $ldi => $ldi_value) {
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$fetch_array[$i] = @rrdtool_function_fetch($ldi, $start_seconds, $end_seconds, $resolution);
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/* clean up unwanted data source items */
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if (!empty($fetch_array[$i])) {
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foreach ($fetch_array[$i]['data_source_names'] as $id => $name) {
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/* get rid of the Nth max for now since we'll need to re-calculate it later */
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if ($name == 'nth_percentile_maximum') {
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unset($fetch_array[$i]['data_source_names'][$id], $fetch_array[$i]['values'][$id]);
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continue;
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}
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/* clean up DS items that aren't defined on the graph */
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if (!in_array($name, $local_data_id[$ldi])) {
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unset($fetch_array[$i]['data_source_names'][$id], $fetch_array[$i]['values'][$id]);
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}
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}
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$i++;
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}
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}
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/* Create our array for working */
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if (empty($fetch_array[0]['data_source_names'])) {
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/* here to avoid warning on non-exist file */
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$fetch_array = array();
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} else {
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$sum_array['data_source_names'] = $fetch_array[0]['data_source_names'];
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}
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if (sizeof($fetch_array) > 0) {
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/* Create hash of ds_item_name => array or fetch_array indexes */
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/* this is used to later sum, max and total the data sources used on the graph */
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/* Loop fetch array index */
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$dsi_name_to_id = array();
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for ($i=0; $i<count($fetch_array); $i++) {
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/* Go through data souce names */
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foreach ($fetch_array[$i]['data_source_names'] as $ds_name) {
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$dsi_name_to_id[$ds_name][] = $i;
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}
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}
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/* Sum up the like data sources */
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$sum_array = array();
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$i = 0;
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foreach ($dsi_name_to_id as $ds_name => $id_array) {
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$sum_array['data_source_names'][$i] = $ds_name;
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foreach ($id_array as $id) {
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$fetch_id = array_search($ds_name,$fetch_array[$id]['data_source_names']);
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/* Sum up like ds names */
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for ($j=0; $j<count($fetch_array[$id]['values'][$fetch_id]); $j++) {
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if (isset($fetch_array[$id]['values'][$fetch_id][$j])) {
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$value = $fetch_array[$id]['values'][$fetch_id][$j];
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} else {
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$value = 0;
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}
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if (isset($sum_array['values'][$i][$j])) {
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$sum_array['values'][$i][$j] += $value;
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} else {
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$sum_array['values'][$i][$j] = $value;
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}
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}
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}
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$i++;
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}
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}
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/* calculate extra data, max, sum */
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if (isset($sum_array['values'])) {
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$num_ds = count($sum_array['values']);
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$total_ds = count($sum_array['values']);
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for ($j=0; $j<$total_ds; $j++) { /* each data source item */
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for ($k=0; $k<count($sum_array['values'][$j]); $k++) { /* each rrd row */
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/* now we must re-calculate the 95th max */
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$value = 0;
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if (isset($sum_array['values'][$j][$k])) {
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$value = $sum_array['values'][$j][$k];
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}
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if (isset($sum_array['values'][$num_ds][$k])) {
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$sum_array['values'][$num_ds][$k] = max($value, $sum_array['values'][$num_ds][$k]);
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} else {
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$sum_array['values'][$num_ds][$k] = max($value, 0);
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}
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/* sum of all ds rows */
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$value = 0;
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if (isset($sum_array['values'][$j][$k])) {
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$value = $sum_array['values'][$j][$k];
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}
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if (isset($sum_array['values'][$num_ds + 1][$k])) {
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$sum_array['values'][$num_ds + 1][$k] += $value;
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} else {
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$sum_array['values'][$num_ds + 1][$k] = $value;
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}
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}
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}
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$sum_array['data_source_names'][$num_ds] = 'nth_percentile_aggregate_max';
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$sum_array['data_source_names'][$num_ds + 1] = 'nth_percentile_aggregate_sum';
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}
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$fetch_array = $sum_array;
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} else {
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/* No array, just calculate the 95th for the data source */
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$fetch_array = @rrdtool_function_fetch($local_data_id, $start_seconds, $end_seconds, $resolution);
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}
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/* loop through each data source */
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if (empty($fetch_array['data_source_names'])) {
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return array();
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}
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$values_array = array();
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for ($i=0; $i<count($fetch_array['data_source_names']); $i++) {
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if (isset($fetch_array['values'][$i])) {
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$values_array = $fetch_array['values'][$i];
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/* sort the array in descending order */
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rsort($values_array, SORT_NUMERIC);
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}
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/* grab the N% row (or 1 - N% in reverse) and use that as our Nth percentile value */
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$inverse_percentile = 1 - ($percentile / 100);
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$target = ((count($values_array) + 1) * $inverse_percentile);
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$target = sprintf('%d', $target);
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if (empty($values_array[$target])) {
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$values_array[$target] = 0;
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}
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/* collect Nth percentile values in this array so we can return them */
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$return_array[$fetch_array['data_source_names'][$i]] = $values_array[$target];
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/* get max Nth calculation for aggregate */
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if ($fetch_array['data_source_names'][$i] != 'nth_percentile_aggregate_max' &&
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$fetch_array['data_source_names'][$i] != 'nth_percentile_aggregate_sum' &&
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$fetch_array['data_source_names'][$i] != 'nth_percentile_maximum') {
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if (isset($return_array['nth_percentile_aggregate_total'])) {
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if ($return_array['nth_percentile_aggregate_total'] < $values_array[$target]) {
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$return_array['nth_percentile_aggregate_total'] = $values_array[$target];
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}
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} else {
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$return_array{'nth_percentile_aggregate_total'} = $values_array[$target];
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}
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}
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}
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if (isset($return_array)) {
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return $return_array;
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}
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}
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/* bandwidth_summation - given a data source, sums all data in the rrd for a given
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time period
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@arg $local_data_id - the data source to perform the summation for
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@arg $start_time - the start time to use for the data calculation. this value can
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either be absolute (unix timestamp) or relative (to now)
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@arg $end_time - the end time to use for the data calculation. this value can
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either be absolute (unix timestamp) or relative (to now)
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@arg $resolution - the accuracy of the data measured in seconds
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@arg $rra_steps - how many periods each sample in the RRA counts for, values above '1'
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result in an averaged summation
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@arg $ds_steps - how many seconds each period represents
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@returns - (array) an array containing each data source item, and its sum */
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function bandwidth_summation($local_data_id, $start_time, $end_time, $rra_steps, $ds_steps) {
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$fetch_array = @rrdtool_function_fetch($local_data_id, $start_time, $end_time, $rra_steps * $ds_steps);
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if (!isset($fetch_array['data_source_names']) || count($fetch_array['data_source_names']) == 0) {
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return;
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}
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$return_array = array();
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/* loop through each regexp determined above (or each data source) */
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for ($i=0; $i<count($fetch_array['data_source_names']); $i++) {
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if (isset($fetch_array['values'][$i])) {
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$sum = array_sum($fetch_array['values'][$i]);
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if (count($fetch_array['values'][$i]) > 0) {
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$sum = ($sum * $ds_steps * $rra_steps);
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} else {
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$sum = 0;
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}
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/* collect summation values in this array so we can return them */
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$return_array[$fetch_array['data_source_names'][$i]] = $sum;
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}
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}
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return $return_array;
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}
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/* variable_nth_percentile - given a Nth percentile variable, calculate the Nth percentile
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and format it for display on the graph
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@arg $regexp_match_array - the array that contains each argument in the Nth percentile variable. it
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should be formatted like so:
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$arr[0] // full variable string
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$arr[1] // Nth percentile
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$arr[2] // bits or bytes
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$arr[3] // power of 10 divisor
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$arr[4] // current, total, max, total_peak, all_max_current, all_max_peak
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$arr[5] // digits of floating point precision
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@arg $graph_item - an array that contains the current graph item
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@arg $graph_items - an array that contains all graph items
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@arg $graph_start - the start time to use for the data calculation. this value can
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either be absolute (unix timestamp) or relative (to now)
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@arg $graph_end - the end time to use for the data calculation. this value can
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either be absolute (unix timestamp) or relative (to now)
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@arg $seconds_between_graph_updates - the number of seconds between each update on the graph which
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varies depending on the RRA in use
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@returns - a string containing the Nth percentile suitable for placing on the graph */
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function variable_nth_percentile(&$regexp_match_array, &$graph_item, &$graph_items, $graph_start, $graph_end) {
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global $graph_item_types;
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if (sizeof($regexp_match_array) == 0) {
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return 0;
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}
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if ($regexp_match_array[1] < 1 || $regexp_match_array[1] > 99) {
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/* error Nth Percentile variable is incorrect */
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return -1;
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}
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/* Get the Nth percentile values */
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switch ($regexp_match_array[4]) {
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case 'current':
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case 'max':
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$nth_cache[$graph_item['local_data_id']] = nth_percentile($graph_item['local_data_id'], $graph_start, $graph_end, $regexp_match_array[1]);
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break;
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case 'total':
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case 'total_peak':
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case 'all_max_current':
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case 'all_max_peak':
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foreach ($graph_items as $graph_element) {
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if (!empty($graph_element['local_data_id'])) {
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$nth_cache[$graph_element['local_data_id']] = nth_percentile($graph_element['local_data_id'], $graph_start, $graph_end, $regexp_match_array[1]);
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}
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}
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break;
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case 'aggregate':
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case 'aggregate_sum':
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case 'aggregate_max':
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$local_data_array = array();
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foreach ($graph_items as $graph_element) {
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if (!empty($graph_element['data_template_rrd_id']) && preg_match('/(AREA|STACK|LINE[123])/', $graph_item_types[$graph_element['graph_type_id']])) {
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$local_data_array[$graph_element['local_data_id']][] = $graph_element['data_source_name'];
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}
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}
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$nth_cache[0] = nth_percentile($local_data_array, $graph_start, $graph_end, $regexp_match_array[1]);
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break;
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case 'aggregate_current':
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$local_data_array = array();
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if (!empty($graph_item['data_source_name'])) {
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foreach ($graph_items as $graph_element) {
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if ($graph_item['data_source_name'] == $graph_element['data_source_name'] &&
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!empty($graph_element['data_template_rrd_id']) &&
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preg_match('/(AREA|STACK|LINE[123])/', $graph_item_types[$graph_element['graph_type_id']])) {
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$local_data_array[$graph_element['local_data_id']][] = $graph_element['data_source_name'];
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}
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}
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$nth_cache[0] = nth_percentile($local_data_array, $graph_start, $graph_end, $regexp_match_array[1]);
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}
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break;
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}
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$nth = 0;
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/* format the output according to args passed to the variable */
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switch($regexp_match_array[4]) {
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case 'current':
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if (!empty($nth_cache[$graph_item['local_data_id']][$graph_item['data_source_name']])) {
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$nth = $nth_cache[$graph_item['local_data_id']][$graph_item['data_source_name']];
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$nth = ($regexp_match_array[2] == 'bits') ? $nth * 8 : $nth;
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$nth /= pow(10, intval($regexp_match_array[3]));
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}
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break;
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case 'total':
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foreach ($graph_items as $graph_element) {
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if (!empty($graph_element['data_template_rrd_id']) && preg_match('/(AREA|STACK|LINE[123])/', $graph_item_types[$graph_element['graph_type_id']])) {
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if (!empty($nth_cache[$graph_element['local_data_id']][$graph_element['data_source_name']])) {
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$local_nth = $nth_cache[$graph_element['local_data_id']][$graph_element['data_source_name']];
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$local_nth = ($regexp_match_array[2] == 'bits') ? $local_nth * 8 : $local_nth;
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$local_nth /= pow(10, intval($regexp_match_array[3]));
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$nth += $local_nth;
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}
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}
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}
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break;
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case 'max':
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if (!empty($nth_cache[$graph_item['local_data_id']]['nth_percentile_maximum'])) {
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$nth = $nth_cache[$graph_item['local_data_id']]['nth_percentile_maximum'];
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$nth = ($regexp_match_array[2] == 'bits') ? $nth * 8 : $nth;
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$nth /= pow(10, intval($regexp_match_array[3]));
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}
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break;
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case 'total_peak':
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foreach ($graph_items as $graph_element) {
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if (!empty($graph_element['data_template_rrd_id']) && preg_match('/(AREA|STACK|LINE[123])/', $graph_item_types[$graph_element['graph_type_id']])) {
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if (!empty($nth_cache[$graph_element['local_data_id']]['nth_percentile_maximum'])) {
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$local_nth = $nth_cache[$graph_element['local_data_id']]['nth_percentile_maximum'];
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$local_nth = ($regexp_match_array[2] == 'bits') ? $local_nth * 8 : $local_nth;
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$local_nth /= pow(10, intval($regexp_match_array[3]));
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$nth += $local_nth;
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}
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}
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}
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break;
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case 'all_max_current':
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foreach ($graph_items as $graph_element) {
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if (!empty($graph_element['data_template_rrd_id']) && preg_match('/(AREA|STACK|LINE[123])/', $graph_item_types[$graph_element['graph_type_id']])) {
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if (!empty($ninety_fifth_cache[$graph_element['local_data_id']][$graph_element['data_source_name']])) {
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$local_nth = $ninety_fifth_cache[$graph_element['local_data_id']][$graph_element['data_source_name']];
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$local_nth = ($regexp_match_array[2] == 'bits') ? $local_nth * 8 : $local_nth;
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$local_nth /= pow(10, intval($regexp_match_array[3]));
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if ($local_nth > $nth) {
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$nth = $local_nth;
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}
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}
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}
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}
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break;
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case 'all_max_peak':
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foreach ($graph_items as $graph_element) {
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if (!empty($graph_element['data_template_rrd_id']) && preg_match('/(AREA|STACK|LINE[123])/', $graph_item_types[$graph_element['graph_type_id']])) {
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if (!empty($nth_cache[$graph_element['local_data_id']]['nth_percentile_maximum'])) {
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$local_nth = $nth_cache[$graph_element['local_data_id']]['nth_percentile_maximum'];
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$local_nth = ($regexp_match_array[2] == 'bits') ? $local_nth * 8 : $local_nth;
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$local_nth /= pow(10, intval($regexp_match_array[3]));
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if ($local_nth > $nth) {
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$nth = $local_nth;
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}
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}
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}
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}
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break;
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case 'aggregate':
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case 'aggregate_current':
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if (!empty($nth_cache[0]['nth_percentile_aggregate_total'])) {
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$local_nth = $nth_cache[0]['nth_percentile_aggregate_total'];
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$local_nth = ($regexp_match_array[2] == 'bits') ? $local_nth * 8 : $local_nth;
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$local_nth /= pow(10, intval($regexp_match_array[3]));
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$nth = $local_nth;
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}
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break;
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case 'aggregate_max':
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if (!empty($nth_cache[0]['nth_percentile_aggregate_max'])) {
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$local_nth = $nth_cache[0]['nth_percentile_aggregate_max'];
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$local_nth = ($regexp_match_array[2] == 'bits') ? $local_nth * 8 : $local_nth;
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$local_nth /= pow(10, intval($regexp_match_array[3]));
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$nth = $local_nth;
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}
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break;
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case 'aggregate_sum':
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if (!empty($nth_cache[0]['nth_percentile_aggregate_sum'])) {
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$local_nth = $nth_cache[0]['nth_percentile_aggregate_sum'];
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$local_nth = ($regexp_match_array[2] == 'bits') ? $local_nth * 8 : $local_nth;
|
|
$local_nth /= pow(10, intval($regexp_match_array[3]));
|
|
$nth = $local_nth;
|
|
}
|
|
break;
|
|
}
|
|
|
|
/* determine the floating point precision */
|
|
if (is_numeric($regexp_match_array[5])) {
|
|
$round_to = $regexp_match_array[5];
|
|
} else {
|
|
$round_to = 2;
|
|
}
|
|
|
|
/* return the final result and round off to two decimal digits */
|
|
return round($nth, $round_to);
|
|
}
|
|
|
|
/* variable_bandwidth_summation - given a bandwidth summation variable, calculate the summation
|
|
and format it for display on the graph
|
|
@arg $regexp_match_array - the array that contains each argument in the bandwidth summation variable. it
|
|
should be formatted like so:
|
|
$arr[0] // full variable string
|
|
$arr[1] // power of 10 divisor or 'auto'
|
|
$arr[2] // current, total
|
|
$arr[3] // digits of floating point precision
|
|
$arr[4] // seconds to perform the calculation for or 'auto'
|
|
@arg $graph_item - an array that contains the current graph item
|
|
@arg $graph_items - an array that contains all graph items
|
|
@arg $graph_start - the start time to use for the data calculation. this value can
|
|
either be absolute (unix timestamp) or relative (to now)
|
|
@arg $graph_end - the end time to use for the data calculation. this value can
|
|
either be absolute (unix timestamp) or relative (to now)
|
|
@arg $seconds_between_graph_updates - the number of seconds between each update on the graph which
|
|
varies depending on the RRA in use
|
|
@arg $rra_step - how many periods each sample in the RRA counts for, values above '1' result in an
|
|
averaged summation
|
|
@arg $ds_step - how many seconds each period represents
|
|
@returns - a string containg the bandwidth summation suitable for placing on the graph */
|
|
function variable_bandwidth_summation(&$regexp_match_array, &$graph_item, &$graph_items, $graph_start, $graph_end, $rra_step, $ds_step) {
|
|
global $graph_item_types;
|
|
|
|
if (sizeof($regexp_match_array) == 0) {
|
|
return 0;
|
|
}
|
|
|
|
if (is_numeric($regexp_match_array[4])) {
|
|
$summation_timespan_start = -$regexp_match_array[4];
|
|
} else {
|
|
$summation_timespan_start = $graph_start;
|
|
}
|
|
|
|
$summation_cache = array();
|
|
switch($regexp_match_array[2]) {
|
|
case 'current':
|
|
$summation_cache[$graph_item['local_data_id']] = bandwidth_summation($graph_item['local_data_id'], $summation_timespan_start, $graph_end, $rra_step, $ds_step);
|
|
break;
|
|
case 'total':
|
|
foreach ($graph_items as $graph_element) {
|
|
if (!empty($graph_element['local_data_id'])) {
|
|
$summation_cache[$graph_element['local_data_id']] = bandwidth_summation($graph_element['local_data_id'], $summation_timespan_start, $graph_end, $rra_step, $ds_step);
|
|
}
|
|
}
|
|
break;
|
|
case 'atomic':
|
|
$summation_cache[$graph_item['local_data_id']] = bandwidth_summation($graph_item['local_data_id'], $summation_timespan_start, $graph_end, $rra_step, 1);
|
|
break;
|
|
}
|
|
|
|
$summation = 0;
|
|
|
|
/* format the output according to args passed to the variable */
|
|
switch ($regexp_match_array[2]) {
|
|
case 'current':
|
|
case 'atomic':
|
|
if (isset($summation_cache[$graph_item['local_data_id']][$graph_item['data_source_name']])) {
|
|
$summation = $summation_cache[$graph_item['local_data_id']][$graph_item['data_source_name']];
|
|
}
|
|
break;
|
|
case 'total':
|
|
foreach ($graph_items as $graph_element) {
|
|
if (!empty($graph_element['data_template_rrd_id']) &&
|
|
isset($summation_cache[$graph_element['local_data_id']][$graph_element['data_source_name']]) &&
|
|
preg_match('/(AREA|STACK|LINE[123])/', $graph_item_types[$graph_element['graph_type_id']])) {
|
|
$summation += $summation_cache[$graph_element['local_data_id']][$graph_element['data_source_name']];
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
|
|
if (preg_match('/\d+/', $regexp_match_array[1])) {
|
|
$summation /= pow(10, intval($regexp_match_array[1]));
|
|
} elseif ($regexp_match_array[1] == 'auto') {
|
|
if ($summation < 1000) {
|
|
$summation_label = 'B';
|
|
} elseif ($summation < 1000000) {
|
|
$summation_label = 'KB';
|
|
$summation /= 1000;
|
|
} elseif ($summation < 1000000000) {
|
|
$summation_label = 'MB';
|
|
$summation /= 1000000;
|
|
} elseif ($summation < 1000000000000) {
|
|
$summation_label = 'GB';
|
|
$summation /= 1000000000;
|
|
} else {
|
|
$summation_label = 'TB';
|
|
$summation /= 1000000000000;
|
|
}
|
|
}
|
|
|
|
/* determine the floating point precision */
|
|
if (is_numeric($regexp_match_array[3])) {
|
|
$round_to = $regexp_match_array[3];
|
|
} else {
|
|
$round_to = 2;
|
|
}
|
|
|
|
/* substitute in the final result and round off to two decimal digits */
|
|
if (isset($summation_label)) {
|
|
return round($summation, $round_to) . " $summation_label";
|
|
} else {
|
|
return round($summation, $round_to);
|
|
}
|
|
}
|