I run an ecommerce company which is made on Magento.
I need to find Category and Product wise page views and conversions for my website.
Google Analytics does not show me the Pageviews data for the said groups.
Is there a way to track the same in GA or some extension to do so.
We tried to use Jirafe, the data was right but it seems to run the cron every hour and would
at times use too many DB instances and thus eating into site bandwidth.
I've got a template that included a popular products widget for the homepage. While researching how to remove a product I didn't want in there, I stumbled up the table report_viewed_product_index which may or nay not be part of their template's code.
The people are "Templates Master" and the module which contains this code is "TM Highlight". The below query may not be perfectly exact, but at least corresponds to our "top 5" products widget.
<?
SELECT sfoi.sku, count(rvpi.product_id)
FROM
report_viewed_product_index rvpi
INNER JOIN
( SELECT DISTINCT sku, product_id FROM sales_flat_order_item ) as sfoi
ON sfoi.product_id=rvpi.product_id
GROUP BY rvpi.product_id
ORDER BY count(rvpi.product_id) DESC
LIMIT 0,10;
+------------+------------------------+
| sku | count(rvpi.product_id) |
+------------+------------------------+
| HM69.BLK | 11055 |
| FP-HUS | 3455 |
| 2VCOILS | 2829 |
| TB900 | 1920 |
| 460-1505 | 1396 |
| 2112-0061 | 1293 |
| JAMBNUTS | 1077 |
| VM520-110 | 1076 |
| TR200038PC | 1066 |
| 016-721 | 1008 |
+------------+------------------------+
?>
Related
Now I'm using the query below in hive to split a row into multiple rows, but I also want to group a "Product" column based on "Category" column each group will match by the order of the group and have ";" to sperate each group and have "," separate item in the group.
SELECT id, customer, prodcut_split
FROM orders lateral view explode(split(product,';')) products AS prodcut_split
Here is my data look like now
| id | Customer| Category | Product |
+----+----------+---------------------------+-----------------------------------+
| 1 | John | Furniture; Technology | Bookcases, Chairs; Phones, Laptop |
| 2 | Bob | Office supplies; Furniture| Paper, Blinders; Tables |
| 3 | Dylan | Furniture | Tables, Chairs, Bookcases |
my desired result will look like:
| id | Customer| Category | Product |
+----+----------+----------------+-----------+
| 1 | John | Furniture | Bookcases |
| 1 | John | Furniture | Chairs |
| 1 | John | Technology | Phones |
| 1 | John | Technology | Laptop |
| 2 | Bob | Office supplies| Paper |
| 2 | Bob | Office supplies| Blinders |
| 2 | Bob | Furniture | Tables |
| 3 | Dylan | Furniture | Tables |
| 3 | Dylan | Furniture | Chairs |
| 3 | Dylan | Furniture | Bookcases |
I have tried this one and it's work well, all credit goes to this question: Hive - Split delimited columns over multiple rows, select based on position
select id,customer ,category, products
from
(
SELECT id, category, product
FROM tale_name
lateral VIEW posexplode(split(category,';')) category AS pos_category, category_split
lateral VIEW posexplode(split(product,';')) product AS pos_product, product_split
WHERE pos_category = pos_product) a
lateral view explode(split(product_split,',')) product_split AS products
say i have a order table, which contains multi time column(spend_time,expire_time,withdraw_time),
usually,i will query the table with the above column independently,so how do i create the partitions?
order_no | spend_time | expire_time | withdraw_time | spend_amount
A001 | 2017/5/1 | 2017/6/1 | 2017/6/2 | 100
A002 | 2017/4/1 | 2017/4/19 | 2017/4/25 | 500
A003 | 2017/3/1 | 2017/3/19 | 2017/3/25 | 1000
Usually the business situation is to calculate total spend_amount between certain spend_time or expire_time or withdraw_time, or the combination of the 3.
But with 3 time dimensions cross combination(each has about 1000 partitions) can be a lot of partitions(1000*1000*1000),is that ok and efficient?
my solution is that i create 3 tables with 3 different columns.Is this a efficient way to solve this problem?
I have a cucumber feature that checks a website has processed payment files correctly (BACS,SEPA, FPS etc). The first stage of the process is to create the payment files which in-turn create expected result data in a database. This data is then used to validate against the payment processing website.
If I process one file, my feature works perfectly validating the expected results. Where I'm stuck is how I get the feature to run (n) number of times depending on the number of records/files that were originally processed.
I've tried an 'Around' hook using a record count iteration with no joy, can't see how I can fit it into an outline scenario and now think that perhaps a rake task to call the feature might work.
Any ideas would be greatly appreciated.
Here's a sample of the feature:
Feature: Processing SEPA Credit Transfer Files. Same Day Value Payments.
Background:
Given we want to test the "SEPA_Regression" scenario suite
And that we have processed a "SEPA" file from the "LDN" branch
And we plan to use the "ITA1" environment
Then we log in to "OPF" as a "SEPA Department" user
#feature #find_and_check_sepa_interchange #all_rows
Scenario: Receive SEPA Credit Transfer Files for branch
Given that we are on the "Payment Management > Interchanges" page
When I search for our Interchange with the following search parameters:
| Field Name |
| Transport Date From |
| Bank |
| Interchange Reference |
Then I can check the following fields for the given file in the "Interchanges" table:
| Field Name|
| Interchange Reference |
| Transport Date |
| File Name |
| File Format |
| Clearing Participant |
| Status |
| Direction |
| Bank |
When I select the associated "Interchange Id" link
Then the "Interchange Details" page is displayed
Update I've implemented nested steps for the feature so that I can call the database records first and feed each set of records (or at least the row id) into the main feature like so:
Feature
#trial_feature
Scenario: Validate multiple Files
Given we have one or more records in the database to process for the "SEPA_Regression" scenario
Then we can validate each file against the system
Feature steps:
Then(/^we can validate each file against the system$/) do
x = 0
while x <= $interchangeHash.count - 1
$db_row = x
# Get the other sets of data using the file name in the query
id = $interchangeHash[x]['id']
file_name = $interchangeHash[x]['CMS_Unique_Reference_Id']
Background.get_data_for_scenario(scenario, file_name)
steps %{
Given that we are on the "Payment Management > Interchanges" page
When I search for our Interchange with the following search parameters:
| Field Name |
| Transport Date From |
| Bank |
| Interchange Reference |
Then I can check the following fields for the given file in the "Interchanges" table:
| Field Name|
| Interchange Reference |
| Transport Date |
| File Name |
| File Format |
| Clearing Participant |
| Status |
| Direction |
| Bank |
When I select the associated "Interchange Id" link
Then the "Interchange Details" page is displayed
Seems a bit of a 'hack' but it works.
If you have batch processing software, then you should have several Given (setup) steps, 1 When (trigger) step, several Then (criteria) steps.
Given I have these SEPA bills
| sepa bill 1 |
| sepa bill 2 |
And I have these BAC bills
| bac bill 1 |
| bac bill 2 |
When the payments are processed
Then these sepa bills are completed
| sepa bill 1 |
| sepa bill 2 |
And I these bac bills are completed
| bac bill 1 |
| bac bill 2 |
It's simpler, easier to read what is supposed to be done, and can be expanded to more. The works should be done in the step definitions of setting up and verifying.
I have an Oracle Forms 6i form with a data block that consists of several columns.
------------------------------------------------------------------------------
| FIRST_NAME | LAST_NAME | DEPARTMENT | BIRTH_DATE | JOIN_DATE | RETIRE_DATE |
------------------------------------------------------------------------------
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | |
------------------------------------------------------------------------------
The user can press F7 (to Enter in Query Mode, for example, he/she types JOH% in the first_name and H% in the DEPARTMENT field) , then F8 to execute the query and see the results. In this example, a list of all employees with their last name starting with JOH and working in any department starting with H will be listed. Here is a sample output of that query
------------------------------------------------------------------------------
| FIRST_NAME | LAST_NAME | DEPARTMENT | BIRTH_DATE | JOIN_DATE | RETIRE_DATE |
------------------------------------------------------------------------------
| MIKE | JOHN | HUMAN RES. | 05-MAY-82 | 02-FEB-95 | |
| BEN | JOHNATHAN | HOUSING | 23-APR-76 | 16-AUG-98 | |
| SMITH | JOHN | HOUSING | 11-DEC-78 | 30-JUL-91 | |
| | | | | | |
------------------------------------------------------------------------------
I then added a small button on top of each column to allow the user to sort the data by the desired column, by executing WHEN-BUTTON-PRESSED trigger:
set_block_property('dept', order_by, 'first_name desc');
The good news is that the ORDER_BY does change. The bad news is that the user never notice the change because he/she will need to do another query and execute to see the output ordered by the column they selected. In other words, user will only notice the change in the next query he/she will execute.
I tried to automatically execute the query upon changing the ORDER_BY clause like this:
set_block_property('dept', order_by, 'first_name desc');
go_block('EMPLOYEE');
do_key('EXECUTE_QUERY');
/* EXECUTE_QUERY -- same thing */
but what happens is that all data from the table is selected, ignoring the criteria that the user has initially set during the query mode entry.
I also searched for a solution to this problem and most of them deal with SYSTEM.LAST_QUERY and default_where. The problem is, last_query can refer to a different block from a different form, that is not valid on the currently displayed data bloc.
How can do the following in just one button press:
1- Change the ORDER_BY clause of the currently active datablock
and: 2- Execute the last query that the user has executed, using the same criteria that was set?
Any help will be highly appreciated.
You can get the last query of the block with get_block_property built-in function:
GET_BLOCK_PROPERTY('EMPLOYEE', LAST_QUERY);
Another option is to provide separate search field(s) on the form, instead of using the QBE functionality.
Where is Magento registration form data stored? In which database table(s)?
to find out query used to get the customer data do this, and this is probably EAV structure where all data is kept:
<?php echo Mage::getModel('customer/customer')->getCollection()->getSelect();?>
or this
<?php echo Mage::getModel('customer/customer')->load('customerid')->getSelect();?>
and to find out what fields are available on default collection or load:
<?php print_r(Mage::getModel('customer/customer')->getCollection()->getFirstItem()->getData());?>
or this
<?php print_r(Mage::getModel('customer/customer')->load('customerid')->getData());?>
Anton's answer is correct for accessing data through the Magento framework. To answer your question literally, the following tables store the basic customer data:
+----------------------------------+
| Tables_in_entp (customer%) |
+----------------------------------+
| customer_address_entity |
| customer_address_entity_datetime |
| customer_address_entity_decimal |
| customer_address_entity_int |
| customer_address_entity_text |
| customer_address_entity_varchar |
| customer_entity |
| customer_entity_datetime |
| customer_entity_decimal |
| customer_entity_int |
| customer_entity_text |
| customer_entity_varchar |
+----------------------------------+