I have an array which is created as a combination of two database queries from two separate databases, it looks similar to:
$arr1 = [
['part' => '1', 'address' => 'aaa', 'type' => '1', 'count' => 5],
['part' => '1', 'address' => 'bbb', 'type' => '1', 'count' => 5],
['part' => '1', 'address' => 'ccc', 'type' => '1', 'count' => 5],
['part' => '2', 'address' => 'aaa', 'type' => '1', 'count' => 5],
['part' => '2', 'address' => 'bbb', 'type' => '1', 'count' => 5],
['part' => '2', 'address' => 'ccc', 'type' => '2', 'count' => 5]
];
I am looking for a way to group this array by part
and type
values. I also need to know the total of the count
values as they are grouped.
The results would be something like:
$arr2 = [
['part' => '1', 'type' => '1', 'count' => 15],
['part' => '2', 'type' => '1', 'count' => 10],
['part' => '2', 'type' => '2', 'count' => 5]
];
but I just can't see how to do this. I have seen a few examples of grouping by a single key/value, but not by multiple values at once.
This function should do the job.
function groupByPartAndType($input) {
$output = Array();
foreach($input as $value) {
$output_element = &$output[$value['part'] . "_" . $value['type']];
$output_element['part'] = $value['part'];
$output_element['type'] = $value['type'];
!isset($output_element['count']) && $output_element['count'] = 0;
$output_element['count'] += $value['count'];
}
return array_values($output);
}
If both databases are on the same database server you would be able to do this using SQLs GROUP BY
feature.
The following:
$arr2 = array();
foreach ($arr1 as $a) {
unset($a['address']);
$key = $a['type'] . '-' . $a['part'];
if (isset($arr2[$key])) {
$arr2[$key]['count'] += $a['count'];
} else {
$arr2[$key] = $a;
}
}
$arr2 = array_values($arr2);
Would output
array
0 =>
array
'part' => string '1' (length=1)
'type' => string '1' (length=1)
'count' => int 15
1 =>
array
'part' => string '2' (length=1)
'type' => string '1' (length=1)
'count' => int 10
2 =>
array
'part' => string '2' (length=1)
'type' => string '2' (length=1)
'count' => int 5
Something like
$newarr=array();
foreach ( $arr as $Key => $Value ) {
$newarr[$Value[part]][]=$arr[$key];
}
foreach ( $newarr[part] as $Key => $Value ) {
...
}
Full answer for multi-keys arrays grouping is
// * $arr - associative multi keys data array
// * $group_by_fields - array of fields to group by
// * $sum_by_fields - array of fields to calculate sum in group
function array_group_by($arr, $group_by_fields = false, $sum_by_fields = false) {
if ( empty($group_by_fields) ) return; // * nothing to group
$fld_count = 'grp:count'; // * field for count of grouped records in each record group
// * format sum by
if (!empty($sum_by_fields) && !is_array($sum_by_fields)) {
$sum_by_fields = array($sum_by_fields);
}
// * protected from collecting
$fields_collected = array();
// * do
$out = array();
foreach($arr as $value) {
$newval = array();
$key = '';
foreach ($group_by_fields as $field) {
$key .= $value[$field].'_';
$newval[$field] = $value[$field];
unset($value[$field]);
}
// * format key
$key = substr($key,0,-1);
// * count
if (isset($out[$key])) { // * record already exists
$out[$key][$fld_count]++;
} else {
$out[$key] = $newval;
$out[$key][$fld_count]=1;
}
$newval = $out[$key];
// * sum by
if (!empty($sum_by_fields)) {
foreach ($sum_by_fields as $sum_field) {
if (!isset($newval[$sum_field])) $newval[$sum_field] = 0;
$newval[$sum_field] += $value[$sum_field];
unset($value[$sum_field]);
}
}
// * collect differencies
if (!empty($value))
foreach ($value as $field=>$v) if (!is_null($v)) {
if (!is_array($v)) {
$newval[$field][$v] = $v;
} else $newval[$field][join('_', $v)] = $v; // * array values
}
$out[$key] = $newval;
}
return array_values($out);
}
If this task was necessary in one of my projects, I would craft a snippet that would not need reference variables or any iterated function calls.
Inside the loop, declare the composite temporary key as a variable (since it is used more than once). Push the new row into the result array using the composite key as the temporary first-level key.
Use the null coalescing operator to use the pre-existing count for a given group or zero if the group has not yet been encountered. Then add the new count
value to the previously accumulated count
.
This technique will unconditionally overwrite the encountered group every time it is repeated. In doing so, the data will be updated with the correct part
, type
, and count
values throughout the iterative process.
When the loop finishes, re-index the result array by calling array_values()
.
Code: ( Demo )
$arr1 = [
['part' => '1', 'address' => 'aaa', 'type' => '1', 'count' => 5],
['part' => '1', 'address' => 'bbb', 'type' => '1', 'count' => 5],
['part' => '1', 'address' => 'ccc', 'type' => '1', 'count' => 5],
['part' => '2', 'address' => 'aaa', 'type' => '1', 'count' => 5],
['part' => '2', 'address' => 'bbb', 'type' => '1', 'count' => 5],
['part' => '2', 'address' => 'ccc', 'type' => '2', 'count' => 5]
];
$result = [];
foreach ($arr1 as $row) {
$compositeKey = $row['part'] . '-' . $row['type'];
$result[$compositeKey] = [
'part' => $row['part'],
'type' => $row['type'],
'count' => ($result[$compositeKey]['count'] ?? 0) + $row['count']
];
}
var_export(array_values($result));
Output:
array (
0 =>
array (
'part' => '1',
'type' => '1',
'count' => 15,
),
1 =>
array (
'part' => '2',
'type' => '1',
'count' => 10,
),
2 =>
array (
'part' => '2',
'type' => '2',
'count' => 5,
),
)
ps Ideally, this task probably could/should be performed in the sql but we don't have the details to provide any specific guidance.
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