Laravel Eloquent groupBy orderBy gives different results in MariaDB - laravel

I have read about this already in SO and MariaDB knowledgeable about this incompatibility between Mysql and Mariadb. But I am not sure how to resolve this issue in Laravel Eloquent / DB queries.
My Problem: The groupBy orderBy query gives different results in MariaDB and MySql. It works fine in mySql by the results are in different order in MariaDB.
This is my query:
$messages = ChatMessages::select(DB::raw('t.*'))
->from(DB::raw('(SELECT * FROM chat_messages ORDER BY created_at DESC) t'))
->whereIn('message_id', $messageIds)
->groupBy('message_id')
->orderBy('created_at', 'DESC')
->paginate(3);
For example, lets say this is the chat_messages table:
+----+----------+---------------------+-----------+
| id | message_id | created_at | name |
+----+----------+---------------------+-----------+
| 1 | 1000 | 2017-01-01 06:03:40 | Anna |
+----+----------+---------------------+-----------+
| 2 | 1007 | 2017-01-02 07:13:20 | Becky |
+----+----------+---------------------+-----------+
| 3 | 1000 | 2017-01-03 08:20:12 | Christina |
+----+----------+---------------------+-----------+
| 4 | 1004 | 2017-01-03 08:20:15 | Dorothy |
+----+----------+---------------------+-----------+
| 5 | 1004 | 2017-01-04 09:25:45 | Emma |
+----+----------+---------------------+-----------+
| 6 | 1000 | 2017-01-05 10:30:10 | Fiona |
+----+----------+---------------------+-----------+
| 7 | 1007 | 2017-01-05 10:33:23 | Gigi |
+----+----------+---------------------+-----------+
| 8 | 1007 | 2017-01-06 12:46:34 | Heidi |
+----+----------+---------------------+-----------+
| 9 | 1000 | 2017-01-06 12:46:34 | Irene |
+----+----------+---------------------+-----------+
| 10 | 1007 | 2017-01-07 14:58:37 | Jane |
+----+----------+---------------------+-----------+
| 11 | 1007 | 2017-01-07 14:58:37 | Katy |
+----+----------+---------------------+-----------+
The query works fine in MySql database and the results are returned as this:
+----+----------+---------------------+-----------+
| id | message_id | created_at | name |
+----+----------+---------------------+-----------+
| 11 | 1007 | 2017-01-07 14:58:37 | Katy |
+----+----------+---------------------+-----------+
| 9 | 1000 | 2017-01-06 12:46:34 | Irene |
+----+----------+---------------------+-----------+
| 5 | 1004 | 2017-01-04 09:25:45 | Emma |
+----+----------+---------------------+-----------+
However, in MariaDB database, the results are returned incorrectly like this. It seems to group the message_id in ascending order first and then adding the orderBy to that:
+----+----------+---------------------+-----------+
| id | message_id | created_at | name |
+----+----------+---------------------+-----------+
| 4 | 1004 | 2017-01-03 08:20:15 | Dorothy |
+----+----------+---------------------+-----------+
| 2 | 1007 | 2017-01-02 07:13:20 | Becky |
+----+----------+---------------------+-----------+
| 1 | 1000 | 2017-01-01 06:03:40 | Anna |
+----+----------+---------------------+-----------+
I tried changing the query thought of using unique() instead like this:
ChatMessages::whereIn('message_id', $messageIds)
->orderBy('created_at', 'DESC')
->paginate(3)
->unique('message_id');
Although it works in MariaDB and MySql the same way, but the pagination is applied before the unique check and therefore returned lesser results:
+----+----------+---------------------+-----------+
| id | message_id | created_at | name |
+----+----------+---------------------+-----------+
| 11 | 1007 | 2017-01-07 14:58:37 | Katy |
+----+----------+---------------------+-----------+
| 9 | 1000 | 2017-01-06 12:46:34 | Irene |
+----+----------+---------------------+-----------+
How can I resolve this?

You are probabbly trying to do a "groupwise max". This can no longer be done by the trick of having a subquery with an ORDER BY.
A subquery, but definition, has no order. However, in the past, both MariaDB and MySQL would perform the ORDER BY, and that happened to be beneficial to the outer query.
MariaDB was first to ignore the inner ORDER BY; MySQL picked up on it later. Follow the tag [greatest-n-per-group] for various workarounds.

Related

How to store data by increment by +1 every time stored

This is my product table.I want to store customer_id from 1000 and save by +1 how much data i stored
id | customer_id | name |
1 | 1000 | ABC |
2 | 1001 | Tripathi |
3 | 1002 | Leaptrig |
4 | 1003 | Falcon |
5 | 1004 | Savillan |
6 | 1005 | Molt |
7 | 1006 | Falt |
My Controller
$lastProduct=Product::pluck('customer_id')->last();
$product=new Product();
$product->name=$request->name;
if($lastProduct){
$product->customer_id=1000+($lastProduct+1);
}
$product->save();
But In this code,Customer id i increment by 1000 2001,3002 like this. so how should i avoid it ?
id | customer_id | name |
1 | 1000 | ABC |
2 | 2001 | Tripathi |
3 | 3002 | Leaptrig |
4 | 4003 | Falcon |
5 | 5004 | Savillan |
6 | 6005 | Molt |
7 | 7006 | Falt |
You can try this :-
$lastProduct=Product::pluck('customer_id')->last();
$product=new Product();
$product->name=$request->name;
if($lastProduct){
$product->customer_id=$lastProduct+1;
}
$product->save();

How to get the max value for elements having the same id under Laravel

Using Laravel/Eloquent, I would like to retrieve the max value for each week_id in the following table.
+---------+-----------+
| week_id | value |
+---------+-----------+
| 5 | |
| 6 | 1 |
| 6 | |
| 6 | |
| 7 | 3 |
| 7 | 4 |
| 7 | |
+---------+-----------+
With MySql I would do it like this:
SELECT week_id, max(value) as max_value FROM foo_table GROUP BY week_id
=>
+---------+-----------+
| week_id | max_value |
+---------+-----------+
| 5 | |
| 6 | 1 |
| 7 | 4 |
+---------+-----------+
How could I achieve the same under Laravel?
Try this:
DB::table('foo_table')
->select('week_id', DB:raw('max(value) as max_value'))
->groupBy('week_id')
->get();

How to unpivot table in hive?

I have dataset like below:
item|location|week1|week2|week3|week4
_____________________________________
1000|10000000|1.2 |2.2 |3.2 |4.5
1001|10000001|1.8 |2.5 |3.5 |4.1
1002|10000002|9.3 |2.9 |3.7 |4.8
I want data to be unpivot like below:
item|location|week_name|week_value
__________________________________
1000|10000000|week1 |1.2
1000|10000000|week2 |2.2
1000|10000000|week3 |3.2
1000|10000000|week4 |4.5
1001|10000001|week1 |1.8
1001|10000001|week2 |2.5
1001|10000001|week3 |3.5
1001|10000001|week4 |4.1
1002|10000002|week1 |9.3
1002|10000002|week2 |2.9
1002|10000002|week3 |3.7
1002|10000002|week4 |4.8
Tell me any efficient way/query to do it ?
*Updated according to the OP reply for my comment (using week_number instead of week_name)
select item
,location
,pe.pos+1 as week_number
,pe.val as week_value
from mytable t
lateral view posexplode(array(week1,week2,week3,week4)) pe
;
+-------+-----------+--------------+-------------+
| item | location | week_number | week_value |
+-------+-----------+--------------+-------------+
| 1000 | 10000000 | 1 | 1.2 |
| 1000 | 10000000 | 2 | 2.2 |
| 1000 | 10000000 | 3 | 3.2 |
| 1000 | 10000000 | 4 | 4.5 |
| 1001 | 10000001 | 1 | 1.8 |
| 1001 | 10000001 | 2 | 2.5 |
| 1001 | 10000001 | 3 | 3.5 |
| 1001 | 10000001 | 4 | 4.1 |
| 1002 | 10000002 | 1 | 9.3 |
| 1002 | 10000002 | 2 | 2.9 |
| 1002 | 10000002 | 3 | 3.7 |
| 1002 | 10000002 | 4 | 4.8 |
+-------+-----------+--------------+-------------+

View count rows as columns in query result

First thing first: I am able to get the data one way. My purpose is to increase the readability of my query result. I am seeking if it is possible.
I have a table that fed by devices. I want to get the number of data sent on each hour that was grouped by two identical columns. Grouping these two columns is needed to determine one device type.
Table structure is like:
| identifier-1 | identifier-2 | day | hour | data_name | data_value |
|--------------|--------------|------------|------|-----------|------------|
| type_1 | subType_4 | 2016-08-25 | 0 | Key-30 | 4342 |
|--------------|--------------|------------|------|-----------|------------|
| type_3 | subType_2 | 2016-08-25 | 0 | Key-50 | 96 |
|--------------|--------------|------------|------|-----------|------------|
| type_6 | subType_2 | 2016-08-25 | 1 | Key-44 | 324 |
|--------------|--------------|------------|------|-----------|------------|
| type_2 | subType_1 | 2016-08-25 | 1 | Key-26 | 225 |
|--------------|--------------|------------|------|-----------|------------|
I'm going to use one specific data_name which was sent by all devices, and getting the count of this data_name will give me the data sent on each hour. It is possible to get the number in 24 rows as grouping by identifier-1,identifier-2, day and hour. However, they will repeat for each device type.
| identifier-1 | identifier-2 | day | hour | count |
|--------------|--------------|------------|------|-------|
| type_6 | subType_2 | 2016-08-25 | 0 | 340 |
|--------------|--------------|------------|------|-------|
| type_6 | subType_2 | 2016-08-25 | 1 | 340 |
|--------------|--------------|------------|------|-------|
|--------------|--------------|------------|------|-------|
| type_1 | subType_4 | 2016-08-25 | 0 | 32 |
|--------------|--------------|------------|------|-------|
| type_1 | subType_4 | 2016-08-25 | 1 | 30 |
|--------------|--------------|------------|------|-------|
|--------------|--------------|------------|------|-------|
|--------------|--------------|------------|------|-------|
I want to view the result like this:
| identifier-1 | identifier-2 | day | count_of_0 | count_of_1 |
|--------------|--------------|------------|------------|------------|
| type_6 | subType_2 | 2016-08-25 | 340 | 340 |
|--------------|--------------|------------|------------|------------|
| type_1 | subType_4 | 2016-08-25 | 32 | 30 |
|--------------|--------------|------------|------------|------------|
|--------------|--------------|------------|------------|------------|
In SQL, it is possible to get subqueries and columns in result but it is not possible on Hive. I guess it is called correlated subqueries.
Hive column as a subquery select
Answer of this question did not work for me.
Do you have any idea or suggestion?
You can do this using conditional aggregation:
select identifier1, identifier2, day,
sum(case when hour = 0 then data_value else 0 end) as cnt_0,
sum(case when hour = 1 then data_value else 0 end) as cnt_1
from t
where data_name = ??
group by identifier1, identifier2, day
order by identifier1, identifier2, day

Why is magento generating duplicate rewrites in the core_url_rewrite table?

I can give a very specific example. BEFORE INDEXING:
mysql> SELECT * FROM core_url_rewrite WHERE target_path = 'catalog/category/view/id/4';
+----------------+----------+-------------+------------+--------------+--------------+----------------------------+-----------+---------+-------------+
| url_rewrite_id | store_id | category_id | product_id | id_path | request_path | target_path | is_system | options | description |
+----------------+----------+-------------+------------+--------------+--------------+----------------------------+-----------+---------+-------------+
| 1508 | 1 | 4 | NULL | category/4_1 | food.html | catalog/category/view/id/4 | 1 | | |
+----------------+----------+-------------+------------+--------------+--------------+----------------------------+-----------+---------+-------------+
1 row in set (0.00 sec)
AFTER INDEXING:
mysql> SELECT * FROM core_url_rewrite WHERE target_path = 'catalog/category/view/id/4';
+----------------+----------+-------------+------------+--------------+--------------+----------------------------+-----------+---------+-------------+
| url_rewrite_id | store_id | category_id | product_id | id_path | request_path | target_path | is_system | options | description |
+----------------+----------+-------------+------------+--------------+--------------+----------------------------+-----------+---------+-------------+
| 1508 | 1 | 4 | NULL | category/4_1 | food.html | catalog/category/view/id/4 | 1 | | |
| 8512 | 1 | 4 | NULL | category/4 | food-1.html | catalog/category/view/id/4 | 1 | | NULL |
+----------------+----------+-------------+------------+--------------+--------------+----------------------------+-----------+---------+-------------+
2 rows in set (0.01 sec)
So my question is, why on earth would Magento create a duplicate rewrite? Is this a bug?
Any insight would be very appreciated. Thanks!
Aaron
Well I suppose this was a bug in Magento 1.4. Upgrading to 1.6 resolved the issue.

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