www.gusucode.com > Piwik 网站流量统计系统 v2.9.1PHP源码程序 > Piwik 网站流量统计系统 v2.9.1/piwik/piwik/core/DataAccess/LogAggregator.php
<?php
/**
* Piwik - free/libre analytics platform
*
* @link http://piwik.org
* @license http://www.gnu.org/licenses/gpl-3.0.html GPL v3 or later
*
*/
namespace Piwik\DataAccess;
use Piwik\ArchiveProcessor\Parameters;
use Piwik\Common;
use Piwik\DataArray;
use Piwik\Db;
use Piwik\Metrics;
use Piwik\Tracker\GoalManager;
/**
* Contains methods that calculate metrics by aggregating log data (visits, actions, conversions,
* ecommerce items).
*
* You can use the methods in this class within {@link Piwik\Plugin\Archiver Archiver} descendants
* to aggregate log data without having to write SQL queries.
*
* ### Aggregation Dimension
*
* All aggregation methods accept a **dimension** parameter. These parameters are important as
* they control how rows in a table are aggregated together.
*
* A **_dimension_** is just a table column. Rows that have the same values for these columns are
* aggregated together. The result of these aggregations is a set of metrics for every recorded value
* of a **dimension**.
*
* _Note: A dimension is essentially the same as a **GROUP BY** field._
*
* ### Examples
*
* **Aggregating visit data**
*
* $archiveProcessor = // ...
* $logAggregator = $archiveProcessor->getLogAggregator();
*
* // get metrics for every used browser language of all visits by returning visitors
* $query = $logAggregator->queryVisitsByDimension(
* $dimensions = array('log_visit.location_browser_lang'),
* $where = 'log_visit.visitor_returning = 1',
*
* // also count visits for each browser language that are not located in the US
* $additionalSelects = array('sum(case when log_visit.location_country <> 'us' then 1 else 0 end) as nonus'),
*
* // we're only interested in visits, unique visitors & actions, so don't waste time calculating anything else
* $metrics = array(Metrics::INDEX_NB_UNIQ_VISITORS, Metrics::INDEX_NB_VISITS, Metrics::INDEX_NB_ACTIONS),
* );
* if ($query === false) {
* return;
* }
*
* while ($row = $query->fetch()) {
* $uniqueVisitors = $row[Metrics::INDEX_NB_UNIQ_VISITORS];
* $visits = $row[Metrics::INDEX_NB_VISITS];
* $actions = $row[Metrics::INDEX_NB_ACTIONS];
*
* // ... do something w/ calculated metrics ...
* }
*
* **Aggregating conversion data**
*
* $archiveProcessor = // ...
* $logAggregator = $archiveProcessor->getLogAggregator();
*
* // get metrics for ecommerce conversions for each country
* $query = $logAggregator->queryConversionsByDimension(
* $dimensions = array('log_conversion.location_country'),
* $where = 'log_conversion.idgoal = 0', // 0 is the special ecommerceOrder idGoal value in the table
*
* // also calculate average tax and max shipping per country
* $additionalSelects = array(
* 'AVG(log_conversion.revenue_tax) as avg_tax',
* 'MAX(log_conversion.revenue_shipping) as max_shipping'
* )
* );
* if ($query === false) {
* return;
* }
*
* while ($row = $query->fetch()) {
* $country = $row['location_country'];
* $numEcommerceSales = $row[Metrics::INDEX_GOAL_NB_CONVERSIONS];
* $numVisitsWithEcommerceSales = $row[Metrics::INDEX_GOAL_NB_VISITS_CONVERTED];
* $avgTaxForCountry = $row['avg_tax'];
* $maxShippingForCountry = $row['max_shipping'];
*
* // ... do something with aggregated data ...
* }
*/
class LogAggregator
{
const LOG_VISIT_TABLE = 'log_visit';
const LOG_ACTIONS_TABLE = 'log_link_visit_action';
const LOG_CONVERSION_TABLE = "log_conversion";
const REVENUE_SUBTOTAL_FIELD = 'revenue_subtotal';
const REVENUE_TAX_FIELD = 'revenue_tax';
const REVENUE_SHIPPING_FIELD = 'revenue_shipping';
const REVENUE_DISCOUNT_FIELD = 'revenue_discount';
const TOTAL_REVENUE_FIELD = 'revenue';
const ITEMS_COUNT_FIELD = "items";
const CONVERSION_DATETIME_FIELD = "server_time";
const ACTION_DATETIME_FIELD = "server_time";
const VISIT_DATETIME_FIELD = 'visit_last_action_time';
const IDGOAL_FIELD = 'idgoal';
const FIELDS_SEPARATOR = ", \n\t\t\t";
/** @var \Piwik\Date */
protected $dateStart;
/** @var \Piwik\Date */
protected $dateEnd;
/** @var int[] */
protected $sites;
/** @var \Piwik\Segment */
protected $segment;
/**
* Constructor.
*
* @param \Piwik\ArchiveProcessor\Parameters $params
*/
public function __construct(Parameters $params)
{
$this->dateStart = $params->getDateStart();
$this->dateEnd = $params->getDateEnd();
$this->segment = $params->getSegment();
$this->sites = $params->getIdSites();
}
public function generateQuery($select, $from, $where, $groupBy, $orderBy)
{
$bind = $this->getGeneralQueryBindParams();
$query = $this->segment->getSelectQuery($select, $from, $where, $bind, $orderBy, $groupBy);
return $query;
}
protected function getVisitsMetricFields()
{
return array(
Metrics::INDEX_NB_UNIQ_VISITORS => "count(distinct " . self::LOG_VISIT_TABLE . ".idvisitor)",
Metrics::INDEX_NB_VISITS => "count(*)",
Metrics::INDEX_NB_ACTIONS => "sum(" . self::LOG_VISIT_TABLE . ".visit_total_actions)",
Metrics::INDEX_MAX_ACTIONS => "max(" . self::LOG_VISIT_TABLE . ".visit_total_actions)",
Metrics::INDEX_SUM_VISIT_LENGTH => "sum(" . self::LOG_VISIT_TABLE . ".visit_total_time)",
Metrics::INDEX_BOUNCE_COUNT => "sum(case " . self::LOG_VISIT_TABLE . ".visit_total_actions when 1 then 1 when 0 then 1 else 0 end)",
Metrics::INDEX_NB_VISITS_CONVERTED => "sum(case " . self::LOG_VISIT_TABLE . ".visit_goal_converted when 1 then 1 else 0 end)",
Metrics::INDEX_NB_USERS => "count(distinct " . self::LOG_VISIT_TABLE . ".user_id)",
);
}
public static function getConversionsMetricFields()
{
return array(
Metrics::INDEX_GOAL_NB_CONVERSIONS => "count(*)",
Metrics::INDEX_GOAL_NB_VISITS_CONVERTED => "count(distinct " . self::LOG_CONVERSION_TABLE . ".idvisit)",
Metrics::INDEX_GOAL_REVENUE => self::getSqlConversionRevenueSum(self::TOTAL_REVENUE_FIELD),
Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_SUBTOTAL => self::getSqlConversionRevenueSum(self::REVENUE_SUBTOTAL_FIELD),
Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_TAX => self::getSqlConversionRevenueSum(self::REVENUE_TAX_FIELD),
Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_SHIPPING => self::getSqlConversionRevenueSum(self::REVENUE_SHIPPING_FIELD),
Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_DISCOUNT => self::getSqlConversionRevenueSum(self::REVENUE_DISCOUNT_FIELD),
Metrics::INDEX_GOAL_ECOMMERCE_ITEMS => "SUM(" . self::LOG_CONVERSION_TABLE . "." . self::ITEMS_COUNT_FIELD . ")",
);
}
private static function getSqlConversionRevenueSum($field)
{
return self::getSqlRevenue('SUM(' . self::LOG_CONVERSION_TABLE . '.' . $field . ')');
}
public static function getSqlRevenue($field)
{
return "ROUND(" . $field . "," . GoalManager::REVENUE_PRECISION . ")";
}
/**
* Helper function that returns an array with common metrics for a given log_visit field distinct values.
*
* The statistics returned are:
* - number of unique visitors
* - number of visits
* - number of actions
* - maximum number of action for a visit
* - sum of the visits' length in sec
* - count of bouncing visits (visits with one page view)
*
* For example if $dimension = 'config_os' it will return the statistics for every distinct Operating systems
* The returned array will have a row per distinct operating systems,
* and a column per stat (nb of visits, max actions, etc)
*
* 'label' Metrics::INDEX_NB_UNIQ_VISITORS Metrics::INDEX_NB_VISITS etc.
* Linux 27 66 ...
* Windows XP 12 ...
* Mac OS 15 36 ...
*
* @param string $dimension Table log_visit field name to be use to compute common stats
* @return DataArray
*/
public function getMetricsFromVisitByDimension($dimension)
{
if (!is_array($dimension)) {
$dimension = array($dimension);
}
if (count($dimension) == 1) {
$dimension = array("label" => reset($dimension));
}
$query = $this->queryVisitsByDimension($dimension);
$metrics = new DataArray();
while ($row = $query->fetch()) {
$metrics->sumMetricsVisits($row["label"], $row);
}
return $metrics;
}
/**
* Executes and returns a query aggregating visit logs, optionally grouping by some dimension. Returns
* a DB statement that can be used to iterate over the result
*
* **Result Set**
*
* The following columns are in each row of the result set:
*
* - **{@link Piwik\Metrics::INDEX_NB_UNIQ_VISITORS}**: The total number of unique visitors in this group
* of aggregated visits.
* - **{@link Piwik\Metrics::INDEX_NB_VISITS}**: The total number of visits aggregated.
* - **{@link Piwik\Metrics::INDEX_NB_ACTIONS}**: The total number of actions performed in this group of
* aggregated visits.
* - **{@link Piwik\Metrics::INDEX_MAX_ACTIONS}**: The maximum actions perfomred in one visit for this group of
* visits.
* - **{@link Piwik\Metrics::INDEX_SUM_VISIT_LENGTH}**: The total amount of time spent on the site for this
* group of visits.
* - **{@link Piwik\Metrics::INDEX_BOUNCE_COUNT}**: The total number of bounced visits in this group of
* visits.
* - **{@link Piwik\Metrics::INDEX_NB_VISITS_CONVERTED}**: The total number of visits for which at least one
* conversion occurred, for this group of visits.
*
* Additional data can be selected by setting the `$additionalSelects` parameter.
*
* _Note: The metrics returned by this query can be customized by the `$metrics` parameter._
*
* @param array|string $dimensions `SELECT` fields (or just one field) that will be grouped by,
* eg, `'referrer_name'` or `array('referrer_name', 'referrer_keyword')`.
* The metrics retrieved from the query will be specific to combinations
* of these fields. So if `array('referrer_name', 'referrer_keyword')`
* is supplied, the query will aggregate visits for each referrer/keyword
* combination.
* @param bool|string $where Additional condition for the `WHERE` clause. Can be used to filter
* the set of visits that are considered for aggregation.
* @param array $additionalSelects Additional `SELECT` fields that are not included in the group by
* clause. These can be aggregate expressions, eg, `SUM(somecol)`.
* @param bool|array $metrics The set of metrics to calculate and return. If false, the query will select
* all of them. The following values can be used:
*
* - {@link Piwik\Metrics::INDEX_NB_UNIQ_VISITORS}
* - {@link Piwik\Metrics::INDEX_NB_VISITS}
* - {@link Piwik\Metrics::INDEX_NB_ACTIONS}
* - {@link Piwik\Metrics::INDEX_MAX_ACTIONS}
* - {@link Piwik\Metrics::INDEX_SUM_VISIT_LENGTH}
* - {@link Piwik\Metrics::INDEX_BOUNCE_COUNT}
* - {@link Piwik\Metrics::INDEX_NB_VISITS_CONVERTED}
* @param bool|\Piwik\RankingQuery $rankingQuery
* A pre-configured ranking query instance that will be used to limit the result.
* If set, the return value is the array returned by {@link Piwik\RankingQuery::execute()}.
* @return mixed A Zend_Db_Statement if `$rankingQuery` isn't supplied, otherwise the result of
* {@link Piwik\RankingQuery::execute()}. Read {@link queryVisitsByDimension() this}
* to see what aggregate data is calculated by the query.
* @api
*/
public function queryVisitsByDimension(array $dimensions = array(), $where = false, array $additionalSelects = array(),
$metrics = false, $rankingQuery = false)
{
$tableName = self::LOG_VISIT_TABLE;
$availableMetrics = $this->getVisitsMetricFields();
$select = $this->getSelectStatement($dimensions, $tableName, $additionalSelects, $availableMetrics, $metrics);
$from = array($tableName);
$where = $this->getWhereStatement($tableName, self::VISIT_DATETIME_FIELD, $where);
$groupBy = $this->getGroupByStatement($dimensions, $tableName);
$orderBy = false;
if ($rankingQuery) {
$orderBy = '`' . Metrics::INDEX_NB_VISITS . '` DESC';
}
$query = $this->generateQuery($select, $from, $where, $groupBy, $orderBy);
if ($rankingQuery) {
unset($availableMetrics[Metrics::INDEX_MAX_ACTIONS]);
$sumColumns = array_keys($availableMetrics);
if ($metrics) {
$sumColumns = array_intersect($sumColumns, $metrics);
}
$rankingQuery->addColumn($sumColumns, 'sum');
if ($this->isMetricRequested(Metrics::INDEX_MAX_ACTIONS, $metrics)) {
$rankingQuery->addColumn(Metrics::INDEX_MAX_ACTIONS, 'max');
}
return $rankingQuery->execute($query['sql'], $query['bind']);
}
return $this->getDb()->query($query['sql'], $query['bind']);
}
protected function getSelectsMetrics($metricsAvailable, $metricsRequested = false)
{
$selects = array();
foreach ($metricsAvailable as $metricId => $statement) {
if ($this->isMetricRequested($metricId, $metricsRequested)) {
$aliasAs = $this->getSelectAliasAs($metricId);
$selects[] = $statement . $aliasAs;
}
}
return $selects;
}
protected function getSelectStatement($dimensions, $tableName, $additionalSelects, array $availableMetrics, $requestedMetrics = false)
{
$dimensionsToSelect = $this->getDimensionsToSelect($dimensions, $additionalSelects);
$selects = array_merge(
$this->getSelectDimensions($dimensionsToSelect, $tableName),
$this->getSelectsMetrics($availableMetrics, $requestedMetrics),
!empty($additionalSelects) ? $additionalSelects : array()
);
$select = implode(self::FIELDS_SEPARATOR, $selects);
return $select;
}
/**
* Will return the subset of $dimensions that are not found in $additionalSelects
*
* @param $dimensions
* @param array $additionalSelects
* @return array
*/
protected function getDimensionsToSelect($dimensions, $additionalSelects)
{
if (empty($additionalSelects)) {
return $dimensions;
}
$dimensionsToSelect = array();
foreach ($dimensions as $selectAs => $dimension) {
$asAlias = $this->getSelectAliasAs($dimension);
foreach ($additionalSelects as $additionalSelect) {
if (strpos($additionalSelect, $asAlias) === false) {
$dimensionsToSelect[$selectAs] = $dimension;
}
}
}
$dimensionsToSelect = array_unique($dimensionsToSelect);
return $dimensionsToSelect;
}
/**
* Returns the dimensions array, where
* (1) the table name is prepended to the field
* (2) the "AS `label` " is appended to the field
*
* @param $dimensions
* @param $tableName
* @param bool $appendSelectAs
* @return mixed
*/
protected function getSelectDimensions($dimensions, $tableName, $appendSelectAs = true)
{
foreach ($dimensions as $selectAs => &$field) {
$selectAsString = $field;
if (!is_numeric($selectAs)) {
$selectAsString = $selectAs;
} else {
// if function, do not alias or prefix
if ($this->isFieldFunctionOrComplexExpression($field)) {
$selectAsString = $appendSelectAs = false;
}
}
$isKnownField = !in_array($field, array('referrer_data'));
if ($selectAsString == $field && $isKnownField) {
$field = $this->prefixColumn($field, $tableName);
}
if ($appendSelectAs && $selectAsString) {
$field = $this->prefixColumn($field, $tableName) . $this->getSelectAliasAs($selectAsString);
}
}
return $dimensions;
}
/**
* Prefixes a column name with a table name if not already done.
*
* @param string $column eg, 'location_provider'
* @param string $tableName eg, 'log_visit'
* @return string eg, 'log_visit.location_provider'
*/
private function prefixColumn($column, $tableName)
{
if (strpos($column, '.') === false) {
return $tableName . '.' . $column;
} else {
return $column;
}
}
protected function isFieldFunctionOrComplexExpression($field)
{
return strpos($field, "(") !== false
|| strpos($field, "CASE") !== false;
}
protected function getSelectAliasAs($metricId)
{
return " AS `" . $metricId . "`";
}
protected function isMetricRequested($metricId, $metricsRequested)
{
return $metricsRequested === false
|| in_array($metricId, $metricsRequested);
}
protected function getWhereStatement($tableName, $datetimeField, $extraWhere = false)
{
$where = "$tableName.$datetimeField >= ?
AND $tableName.$datetimeField <= ?
AND $tableName.idsite IN (". Common::getSqlStringFieldsArray($this->sites) . ")";
if (!empty($extraWhere)) {
$extraWhere = sprintf($extraWhere, $tableName, $tableName);
$where .= ' AND ' . $extraWhere;
}
return $where;
}
protected function getGroupByStatement($dimensions, $tableName)
{
$dimensions = $this->getSelectDimensions($dimensions, $tableName, $appendSelectAs = false);
$groupBy = implode(", ", $dimensions);
return $groupBy;
}
/**
* Returns general bind parameters for all log aggregation queries. This includes the datetime
* start of entities, datetime end of entities and IDs of all sites.
*
* @return array
*/
protected function getGeneralQueryBindParams()
{
$bind = array($this->dateStart->getDateStartUTC(), $this->dateEnd->getDateEndUTC());
$bind = array_merge($bind, $this->sites);
return $bind;
}
/**
* Executes and returns a query aggregating ecommerce item data (everything stored in the
* **log\_conversion\_item** table) and returns a DB statement that can be used to iterate over the result
*
* <a name="queryEcommerceItems-result-set"></a>
* **Result Set**
*
* Each row of the result set represents an aggregated group of ecommerce items. The following
* columns are in each row of the result set:
*
* - **{@link Piwik\Metrics::INDEX_ECOMMERCE_ITEM_REVENUE}**: The total revenue for the group of items.
* - **{@link Piwik\Metrics::INDEX_ECOMMERCE_ITEM_QUANTITY}**: The total number of items in this group.
* - **{@link Piwik\Metrics::INDEX_ECOMMERCE_ITEM_PRICE}**: The total price for the group of items.
* - **{@link Piwik\Metrics::INDEX_ECOMMERCE_ORDERS}**: The total number of orders this group of items
* belongs to. This will be <= to the total number
* of items in this group.
* - **{@link Piwik\Metrics::INDEX_NB_VISITS}**: The total number of visits that caused these items to be logged.
* - **ecommerceType**: Either {@link Piwik\Tracker\GoalManager::IDGOAL_CART} if the items in this group were
* abandoned by a visitor, or {@link Piwik\Tracker\GoalManager::IDGOAL_ORDER} if they
* were ordered by a visitor.
*
* **Limitations**
*
* Segmentation is not yet supported for this aggregation method.
*
* @param string $dimension One or more **log\_conversion\_item** columns to group aggregated data by.
* Eg, `'idaction_sku'` or `'idaction_sku, idaction_category'`.
* @return \Zend_Db_Statement A statement object that can be used to iterate through the query's
* result set. See [above](#queryEcommerceItems-result-set) to learn more
* about what this query selects.
* @api
*/
public function queryEcommerceItems($dimension)
{
$query = $this->generateQuery(
// SELECT ...
implode(
', ',
array(
"log_action.name AS label",
sprintf("log_conversion_item.%s AS labelIdAction", $dimension),
sprintf(
'%s AS `%d`',
self::getSqlRevenue('SUM(log_conversion_item.quantity * log_conversion_item.price)'),
Metrics::INDEX_ECOMMERCE_ITEM_REVENUE
),
sprintf(
'%s AS `%d`',
self::getSqlRevenue('SUM(log_conversion_item.quantity)'),
Metrics::INDEX_ECOMMERCE_ITEM_QUANTITY
),
sprintf(
'%s AS `%d`',
self::getSqlRevenue('SUM(log_conversion_item.price)'),
Metrics::INDEX_ECOMMERCE_ITEM_PRICE
),
sprintf(
'COUNT(distinct log_conversion_item.idorder) AS `%d`',
Metrics::INDEX_ECOMMERCE_ORDERS
),
sprintf(
'COUNT(distinct log_conversion_item.idvisit) AS `%d`',
Metrics::INDEX_NB_VISITS
),
sprintf(
'CASE log_conversion_item.idorder WHEN \'0\' THEN %d ELSE %d END AS ecommerceType',
GoalManager::IDGOAL_CART,
GoalManager::IDGOAL_ORDER
)
)
),
// FROM ...
array(
"log_conversion_item",
array(
"table" => "log_action",
"joinOn" => sprintf("log_conversion_item.%s = log_action.idaction", $dimension)
)
),
// WHERE ... AND ...
implode(
' AND ',
array(
'log_conversion_item.server_time >= ?',
'log_conversion_item.server_time <= ?',
'log_conversion_item.idsite IN (' . Common::getSqlStringFieldsArray($this->sites) . ')',
'log_conversion_item.deleted = 0'
)
),
// GROUP BY ...
sprintf(
"ecommerceType, log_conversion_item.%s",
$dimension
),
// ORDER ...
false
);
return $this->getDb()->query($query['sql'], $query['bind']);
}
/**
* Executes and returns a query aggregating action data (everything in the log_action table) and returns
* a DB statement that can be used to iterate over the result
*
* <a name="queryActionsByDimension-result-set"></a>
* **Result Set**
*
* Each row of the result set represents an aggregated group of actions. The following columns
* are in each aggregate row:
*
* - **{@link Piwik\Metrics::INDEX_NB_UNIQ_VISITORS}**: The total number of unique visitors that performed
* the actions in this group.
* - **{@link Piwik\Metrics::INDEX_NB_VISITS}**: The total number of visits these actions belong to.
* - **{@link Piwik\Metrics::INDEX_NB_ACTIONS}**: The total number of actions in this aggregate group.
*
* Additional data can be selected through the `$additionalSelects` parameter.
*
* _Note: The metrics calculated by this query can be customized by the `$metrics` parameter._
*
* @param array|string $dimensions One or more SELECT fields that will be used to group the log_action
* rows by. This parameter determines which log_action rows will be
* aggregated together.
* @param bool|string $where Additional condition for the WHERE clause. Can be used to filter
* the set of visits that are considered for aggregation.
* @param array $additionalSelects Additional SELECT fields that are not included in the group by
* clause. These can be aggregate expressions, eg, `SUM(somecol)`.
* @param bool|array $metrics The set of metrics to calculate and return. If `false`, the query will select
* all of them. The following values can be used:
*
* - {@link Piwik\Metrics::INDEX_NB_UNIQ_VISITORS}
* - {@link Piwik\Metrics::INDEX_NB_VISITS}
* - {@link Piwik\Metrics::INDEX_NB_ACTIONS}
* @param bool|\Piwik\RankingQuery $rankingQuery
* A pre-configured ranking query instance that will be used to limit the result.
* If set, the return value is the array returned by {@link Piwik\RankingQuery::execute()}.
* @param bool|string $joinLogActionOnColumn One or more columns from the **log_link_visit_action** table that
* log_action should be joined on. The table alias used for each join
* is `"log_action$i"` where `$i` is the index of the column in this
* array.
*
* If a string is used for this parameter, the table alias is not
* suffixed (since there is only one column).
* @return mixed A Zend_Db_Statement if `$rankingQuery` isn't supplied, otherwise the result of
* {@link Piwik\RankingQuery::execute()}. Read [this](#queryEcommerceItems-result-set)
* to see what aggregate data is calculated by the query.
* @api
*/
public function queryActionsByDimension($dimensions, $where = '', $additionalSelects = array(), $metrics = false, $rankingQuery = null, $joinLogActionOnColumn = false)
{
$tableName = self::LOG_ACTIONS_TABLE;
$availableMetrics = $this->getActionsMetricFields();
$select = $this->getSelectStatement($dimensions, $tableName, $additionalSelects, $availableMetrics, $metrics);
$from = array($tableName);
$where = $this->getWhereStatement($tableName, self::ACTION_DATETIME_FIELD, $where);
$groupBy = $this->getGroupByStatement($dimensions, $tableName);
$orderBy = false;
if ($joinLogActionOnColumn !== false) {
$multiJoin = is_array($joinLogActionOnColumn);
if (!$multiJoin) {
$joinLogActionOnColumn = array($joinLogActionOnColumn);
}
foreach ($joinLogActionOnColumn as $i => $joinColumn) {
$tableAlias = 'log_action' . ($multiJoin ? $i + 1 : '');
if (strpos($joinColumn, ' ') === false) {
$joinOn = $tableAlias . '.idaction = ' . $tableName . '.' . $joinColumn;
} else {
// more complex join column like if (...)
$joinOn = $tableAlias . '.idaction = ' . $joinColumn;
}
$from[] = array(
'table' => 'log_action',
'tableAlias' => $tableAlias,
'joinOn' => $joinOn
);
}
}
if ($rankingQuery) {
$orderBy = '`' . Metrics::INDEX_NB_ACTIONS . '` DESC';
}
$query = $this->generateQuery($select, $from, $where, $groupBy, $orderBy);
if ($rankingQuery !== null) {
$sumColumns = array_keys($availableMetrics);
if ($metrics) {
$sumColumns = array_intersect($sumColumns, $metrics);
}
$rankingQuery->addColumn($sumColumns, 'sum');
return $rankingQuery->execute($query['sql'], $query['bind']);
}
return $this->getDb()->query($query['sql'], $query['bind']);
}
protected function getActionsMetricFields()
{
return array(
Metrics::INDEX_NB_VISITS => "count(distinct " . self::LOG_ACTIONS_TABLE . ".idvisit)",
Metrics::INDEX_NB_UNIQ_VISITORS => "count(distinct " . self::LOG_ACTIONS_TABLE . ".idvisitor)",
Metrics::INDEX_NB_ACTIONS => "count(*)",
);
}
/**
* Executes a query aggregating conversion data (everything in the **log_conversion** table) and returns
* a DB statement that can be used to iterate over the result.
*
* <a name="queryConversionsByDimension-result-set"></a>
* **Result Set**
*
* Each row of the result set represents an aggregated group of conversions. The
* following columns are in each aggregate row:
*
* - **{@link Piwik\Metrics::INDEX_GOAL_NB_CONVERSIONS}**: The total number of conversions in this aggregate
* group.
* - **{@link Piwik\Metrics::INDEX_GOAL_NB_VISITS_CONVERTED}**: The total number of visits during which these
* conversions were converted.
* - **{@link Piwik\Metrics::INDEX_GOAL_REVENUE}**: The total revenue generated by these conversions. This value
* includes the revenue from individual ecommerce items.
* - **{@link Piwik\Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_SUBTOTAL}**: The total cost of all ecommerce items sold
* within these conversions. This value does not
* include tax, shipping or any applied discount.
*
* _This metric is only applicable to the special
* **ecommerce** goal (where `idGoal == 'ecommerceOrder'`)._
* - **{@link Piwik\Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_TAX}**: The total tax applied to every transaction in these
* conversions.
*
* _This metric is only applicable to the special
* **ecommerce** goal (where `idGoal == 'ecommerceOrder'`)._
* - **{@link Piwik\Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_SHIPPING}**: The total shipping cost for every transaction
* in these conversions.
*
* _This metric is only applicable to the special
* **ecommerce** goal (where `idGoal == 'ecommerceOrder'`)._
* - **{@link Piwik\Metrics::INDEX_GOAL_ECOMMERCE_REVENUE_DISCOUNT}**: The total discount applied to every transaction
* in these conversions.
*
* _This metric is only applicable to the special
* **ecommerce** goal (where `idGoal == 'ecommerceOrder'`)._
* - **{@link Piwik\Metrics::INDEX_GOAL_ECOMMERCE_ITEMS}**: The total number of ecommerce items sold in each transaction
* in these conversions.
*
* _This metric is only applicable to the special
* **ecommerce** goal (where `idGoal == 'ecommerceOrder'`)._
*
* Additional data can be selected through the `$additionalSelects` parameter.
*
* _Note: This method will only query the **log_conversion** table. Other tables cannot be joined
* using this method._
*
* @param array|string $dimensions One or more **SELECT** fields that will be used to group the log_conversion
* rows by. This parameter determines which **log_conversion** rows will be
* aggregated together.
* @param bool|string $where An optional SQL expression used in the SQL's **WHERE** clause.
* @param array $additionalSelects Additional SELECT fields that are not included in the group by
* clause. These can be aggregate expressions, eg, `SUM(somecol)`.
* @return \Zend_Db_Statement
*/
public function queryConversionsByDimension($dimensions = array(), $where = false, $additionalSelects = array())
{
$dimensions = array_merge(array(self::IDGOAL_FIELD), $dimensions);
$tableName = self::LOG_CONVERSION_TABLE;
$availableMetrics = $this->getConversionsMetricFields();
$select = $this->getSelectStatement($dimensions, $tableName, $additionalSelects, $availableMetrics);
$from = array($tableName);
$where = $this->getWhereStatement($tableName, self::CONVERSION_DATETIME_FIELD, $where);
$groupBy = $this->getGroupByStatement($dimensions, $tableName);
$orderBy = false;
$query = $this->generateQuery($select, $from, $where, $groupBy, $orderBy);
return $this->getDb()->query($query['sql'], $query['bind']);
}
/**
* Creates and returns an array of SQL `SELECT` expressions that will each count how
* many rows have a column whose value is within a certain range.
*
* **Note:** The result of this function is meant for use in the `$additionalSelects` parameter
* in one of the query... methods (for example {@link queryVisitsByDimension()}).
*
* **Example**
*
* // summarize one column
* $visitTotalActionsRanges = array(
* array(1, 1),
* array(2, 10),
* array(10)
* );
* $selects = LogAggregator::getSelectsFromRangedColumn('visit_total_actions', $visitTotalActionsRanges, 'log_visit', 'vta');
*
* // summarize another column in the same request
* $visitCountVisitsRanges = array(
* array(1, 1),
* array(2, 20),
* array(20)
* );
* $selects = array_merge(
* $selects,
* LogAggregator::getSelectsFromRangedColumn('visitor_count_visits', $visitCountVisitsRanges, 'log_visit', 'vcv')
* );
*
* // perform the query
* $logAggregator = // get the LogAggregator somehow
* $query = $logAggregator->queryVisitsByDimension($dimensions = array(), $where = false, $selects);
* $tableSummary = $query->fetch();
*
* $numberOfVisitsWithOneAction = $tableSummary['vta0'];
* $numberOfVisitsBetweenTwoAnd10 = $tableSummary['vta1'];
*
* $numberOfVisitsWithVisitCountOfOne = $tableSummary['vcv0'];
*
* @param string $column The name of a column in `$table` that will be summarized.
* @param array $ranges The array of ranges over which the data in the table
* will be summarized. For example,
* ```
* array(
* array(1, 1),
* array(2, 2),
* array(3, 8),
* array(8) // everything over 8
* )
* ```
* @param string $table The unprefixed name of the table whose rows will be summarized.
* @param string $selectColumnPrefix The prefix to prepend to each SELECT expression. This
* prefix is used to differentiate different sets of
* range summarization SELECTs. You can supply different
* values to this argument to summarize several columns
* in one query (see above for an example).
* @param bool $restrictToReturningVisitors Whether to only summarize rows that belong to
* visits of returning visitors or not. If this
* argument is true, then the SELECT expressions
* returned can only be used with the
* {@link queryVisitsByDimension()} method.
* @return array An array of SQL SELECT expressions, for example,
* ```
* array(
* 'sum(case when log_visit.visit_total_actions between 0 and 2 then 1 else 0 end) as vta0',
* 'sum(case when log_visit.visit_total_actions > 2 then 1 else 0 end) as vta1'
* )
* ```
* @api
*/
public static function getSelectsFromRangedColumn($column, $ranges, $table, $selectColumnPrefix, $restrictToReturningVisitors = false)
{
$selects = array();
$extraCondition = '';
if ($restrictToReturningVisitors) {
// extra condition for the SQL SELECT that makes sure only returning visits are counted
// when creating the 'days since last visit' report
$extraCondition = 'and log_visit.visitor_returning = 1';
$extraSelect = "sum(case when log_visit.visitor_returning = 0 then 1 else 0 end) "
. " as `" . $selectColumnPrefix . 'General_NewVisits' . "`";
$selects[] = $extraSelect;
}
foreach ($ranges as $gap) {
if (count($gap) == 2) {
$lowerBound = $gap[0];
$upperBound = $gap[1];
$selectAs = "$selectColumnPrefix$lowerBound-$upperBound";
$selects[] = "sum(case when $table.$column between $lowerBound and $upperBound $extraCondition" .
" then 1 else 0 end) as `$selectAs`";
} else {
$lowerBound = $gap[0];
$selectAs = $selectColumnPrefix . ($lowerBound + 1) . urlencode('+');
$selects[] = "sum(case when $table.$column > $lowerBound $extraCondition then 1 else 0 end) as `$selectAs`";
}
}
return $selects;
}
/**
* Clean up the row data and return values.
* $lookForThisPrefix can be used to make sure only SOME of the data in $row is used.
*
* The array will have one column $columnName
*
* @param $row
* @param $columnName
* @param bool $lookForThisPrefix A string that identifies which elements of $row to use
* in the result. Every key of $row that starts with this
* value is used.
* @return array
*/
public static function makeArrayOneColumn($row, $columnName, $lookForThisPrefix = false)
{
$cleanRow = array();
foreach ($row as $label => $count) {
if (empty($lookForThisPrefix)
|| strpos($label, $lookForThisPrefix) === 0
) {
$cleanLabel = substr($label, strlen($lookForThisPrefix));
$cleanRow[$cleanLabel] = array($columnName => $count);
}
}
return $cleanRow;
}
public function getDb()
{
return Db::get();
}
}