Imagine connection Person x Address (manyToMany). A user wants to add a person with the same address, that has a previous person.
Person Address Address
+------------------------+ +-------------------------------+
| person_id | address_id | | id | postCode | city |... |
+------------------------+ +-------------------------------+
| 1 | 1 | | 1 | 15800 | New York |... |
| 2 | 1 | | 2 | 25385 | London |... |
+------------------------+ +-------------------------------+
Person
+------------------+
| id | name | ... |
+------------------+
| 1 | Jack | ... |
| 2 | Peter | ... |
+------------------+
Is there some automatic way to:
Check if the same address already exists. If does add connection instead of create a duplicate address.
When Update Jack (from the example) and his address, add a new address instead of updating also address of Peter.
When delete check if there is an address connected with another person. If not delete an address, otherwise delete only connection.
In this case it's quite easy to check before changes are persisted to DB, but in more complex example it's really annoying when you have to check 3 records in the same moment that are all in addition connected.
Related
Hi everyone. I'm so sorry for my english. I need to separate the
domain data of some emails in a table. Then, if these mail data have
the domain of a country, this information must be moved to another
column that is incomplete in which the participants of a congress are
included. This for a relatively large database. I put an example
below.
| email | country |
| -------- | -------------- |
| naco#gmail.com | CO |
| monic45814#gmail.com | AR |
| jsalazar#chapingo.mx | |
| andresramirez#urosario.edu.co | |
| jeimy861491#hotmail.com | CL |
|jytvc#hotmail.com | |
Outcome should be
| email | country |
| -------- | -------------- |
| naco#gmail.com | CO |
| monic45814#gmail.com | AR |
| jsalazar#chapingo.mx | MX |
| andresramirez#urosario.edu.co | CO |
|jeimy861491#hotmail.com | CL |
|jytvc#hotmail.com | *NA* |
Thank you so much.
You can use str_extract to get the string after the last occurrence of "." and if_else to ignore rows that already have a country and rows which e-mail doesn't end with a country code:
df %>%
mutate(country = if_else(is.na(country) & str_extract(email, "[^.]+$") != "com", toupper(str_extract(email, "[^.]+$")), country))
small but not so small PS: I would always recommend to provide fake data when you are mentioning personal data like e-mail addresses
Here is a solution in base R.
Suppose:
df<-data.frame(email,country)
Then:
df$country<-ifelse(is.na(df$country)&sub(".*(.*?)[\\.|:]", "",df$email)!="com",sub(".*(.*?)[\\.|:]", "",df$email),paste(df$country))
When I dial multiple extension with dial function, I couldn't find which extension answered.
I'm using dial function with these parameters dial(SIP/1001&SIP/1002&SIP/1003,30,tTr) and I'm checking results on the real-time table with MySQL. But when I check the cdr record on table its looking like
+---------------------+-----------------------------+--------------+------------+----------------+---------------------------+---------------------------+------------+---------------------------------------------------------------------------------+----------+---------+-------------+----------+-------------+-----------+----------------+----------------+----------+-------------+
| calldate | clid | src | dst | dcontext | channel | dstchannel | lastapp | lastdata | duration | billsec | disposition | amaflags | accountcode | userfield | uniqueid | linkedid | sequence | peeraccount |
+---------------------+-----------------------------+--------------+------------+----------------+---------------------------+---------------------------+------------+---------------------------------------------------------------------------------+----------+---------+-------------+----------+-------------+-----------+----------------+----------------+----------+-------------+
| 2018-04-06 17:10:17 | "05555555555" <05555555555> | 05555555555| aa | aaContext | SIP/908500000000-000000f7 | SIP/908500000000-000000f8 | Dial | SIP/1001&SIP/1002&SIP/1003 | 462 | 435 | ANSWERED | 3 | | | 1523049017.247 | 1523049017.247 | 269 | |
So, I can see which channel answered, but there is no extension on it
You can have 3 solutions
1) CEL. Channel Level Log in newer asterisk version allow you get much more events per call.
2) Dial like Local/1001#ext&Local/1002#ext&Local/1003#ext.
This way you will have more cdrs in ext context.
3) Use on-answer macro and record which ext answered.
I want to change the default option for availability zone in my openstack setup in horizon. However, I am having trouble finding out what determines the order of the availability zones as returned by the nova api. For example, running openstack availability zone list I get:
+--------------+-------------+
| Zone Name | Zone Status |
+--------------+-------------+
| zone2 | available |
| zone1 | available |
| internal | available |
| zone3 | available |
+--------------+-------------+
which is the same order as in horizon's dropdown box. However, querying the database directly, I get:
mysql> select * from aggregate_metadata;
+---------------------+------------+------------+----+--------------+-------------------+--------------+---------+
| created_at | updated_at | deleted_at | id | aggregate_id | key | value | deleted |
+---------------------+------------+------------+----+--------------+-------------------+--------------+---------+
| 2015-06-12 08:43:07 | NULL | NULL | 1 | 1 | availability_zone | zone1 | 0 |
| 2015-06-12 08:43:08 | NULL | NULL | 2 | 2 | availability_zone | zone2 | 0 |
| 2015-10-26 05:30:15 | NULL | NULL | 3 | 3 | availability_zone | zone3 | 0 |
+---------------------+------------+------------+----+--------------+-------------------+--------------+---------+
3 rows in set (0.00 sec)
Obviously, the openstack api is doing some sorting before returning the result... however, I can't figure out how it is being sorted nor how I could control the sorting.
get_availability_zones is the function used by nova api to collect list of availability zones.
This function gets list of available services(which is sorted based on the id) ,adds availability zone name is added to those services.
Since service list is the first step it's id defines the order and not the zone name.
The sort order can be modified in different ways based on the requirement.
Sort the order at frontend (horizon)
Modify this line with
ng-options="zone.value as zone.label for zone in model.availabilityZones | orderBy:'value'"
Sort the order at backend (nova-api)
Add available_zones.sort()not_available_zones.sort() before return statements in get_availability_zones function
I'm required for designing a survey system for our customer.
It's based on asp.net, and the database used is oracle.
I've no experience here so I'd like to ask for advice about:
What database schema to use for storing user answers, I'm afraid my current design is likely to have performance issue...
About the survey:
There'll be two or more surveys going on at the same time.
Surveys may be triggered once a year or more frequently, so I think I need a Survey Period table.
Surveys are targeting different products, so there'll be a mapping between products and surveys
Currently my design:
Survey Category table
+------------+--------------+
| CatageryId | CatageryName |
+------------+--------------+
| 1 | cat1 |
| 2 | cat2 |
+------------+--------------+
Survey Category version table
+-----------+------------+--------------------+
| VersionId | CatageryId | VersionDescription |
+-----------+------------+--------------------+
| 1 | 1 | 'cat1 version1' |
| 2 | 1 | 'cat1 version2' |
| 3 | 2 | 'cat2 version1' |
+-----------+------------+--------------------+
Survey Period Table
+----------+--------------------+
| PeriodId | PeriodDescription |
+----------+--------------------+
| 1 | 'cat1 period2016' |
| 2 | 'cat1 period2017' |
| 3 | 'cat2 period2016' |
+----------+--------------------+
Survey Period-Version map table
+----------+-----------+
| PeriodId | VersionId |
+----------+-----------+
| 1 | 1 |
| 1 | 2 |
| 2 | 1 |
| 3 | 3 |
+----------+-----------+
A Version-Question map table
+--------------+------------+
| VersionId | | QuestionId |
+--------------+------------+
| 1 | 1 |
| 1 | 2 |
| 1 | 3 |
| 2 | 1 |
| 2 | 2 |
| 3 | 1 |
+--------------+------------+
A Version-Product map table
+-----------+-----------+
| VersionId | ProductId |
+-----------+-----------+
| 1 | 'prodA' |
| 1 | 'prodB' |
| 1 | 'prodC' |
| 2 | 'prodA' |
+-----------+-----------+
And to Store the survey result data, I have to put lots of duplicated information between rows of record:
User Answer table
+----------+------------+----------+-----------+-----------+--------+-----------+
| AnswerId | QuestionId | PeriodId | UserId/Ip | ProductId | Answer | VersionId |
+----------+------------+----------+-----------+-----------+--------+-----------+
| 1 | 1 | 1 | 'adam' | 'prodA' | 'Yes' | 2 |
| 2 | 2 | 1 | 'Joe' | 'prodA' | 'Yes' | 2 |
| 3 | 1 | 2 | 'adam' | 'prodB' | 'A' | 3 |
+----------+------------+----------+-----------+-----------+--------+-----------+
We're expecting tens of products and thousands of users for this system.
So assume 30 products, 5000 users, 50 questions per survey and 4 surveys per year
in the current design, there'll be 5000 * 4 * 50 * 30 = 30 millions of records added in the User Answer Table per year,
I'm really afraid if it could still work properly..., so any suggestions for optimizing?
Edit 1:
Add VersionId column in user answer table as suggested.
This looks like a case of premature optimization. You should probably worry more about correctness and flexibility than performance.
30 million rows per year, especially in these skinny tables, is a small amount of data for any Oracle system. Don't worry too much about indexes and partitioning yet, those can be added later if necessary.
Your solution is similar to the Entity Attribute Value (EAV) model. It's worth knowing that term since much has been written about it. There are 2 common problems with EAV models you want to avoid:
Avoid extremes. Don't use EAV for everything, but don't completely avoid it either. EAV is slow and inconvenient compared to a normal table structure. It should not be used for every interesting columns, otherwise you have created a database within a database. For example, if virtually every survey has fields like a username and a date created, store those as regular columns and not in a generic column. It's OK to have a column that is only populated 99% of the time. On the other hand, it's a bad idea to always avoid the EAV and try to hack something together with 1,000 column tables or object-relational types.
Always use the correct type. Always, always, always store data as the correct type. Store numbers as numbers, dates as dates, and strings as strings. Your queries will be easier, faster, and safer, if you have at least three columns for the data: ANSWER_NUMBER, ANSWER_STRING, ANSWER_DATE. I explain the type safety problem more in this answer. Those extra columns may look bad in the model diagram, but they are a life-saver when you're querying the data.
I want to create a bundle in an application where the user has the ability to create forms.
These forms will be questionnaires with different answers. Do you know if there is already a similar bundle exists?
If it does not exist. How should I proceed? I always create the forms only on files like "Form\Type\UserType".
In this case, would have to be generated dynamically from the database, right? Only I miss the approach, can anyone give a hint on how I can realize this?
Update:
Maybe i think to complicated. I'm not sure if an form service solve my problem. Know i created a database structure to describe my initial situation.
The user can create on a backend following records.
A scale, a scale can contain many answers (yes, no, maybe, good, better ...)
A question category
A question, can be assigned to many categories and many questionnairies
A questionnaire, can contain many questions and here can the user assign a scale to a question.
Table Scale
+----+--------+------------+----------+-----------+------------+
| id | name | alignment | isActive | isDeleted | createDate |
+----+--------+------------+----------+-----------+------------+
| 1 | Yes-No | horizontal | 1 | 1 | 2014-09-25 |
+----+--------+------------+----------+-----------+------------+
Table Items
+----+------+-------+------------+
| id | name | value | createDate |
+----+------+-------+------------+
| 1 | Yes | 1 | 2014-09-25 |
| 2 | No | 0 | 2014-09-25 |
+----+------+-------+------------+
ManyToMany 'scale_items'
+----------+----------+
| scale_id | items_id |
+----------+----------+
| 1 | 1 |
| 1 | 2 |
+----------+----------+
Table category for question categories
+----+---------+----------+-----------+------------+
| id | name | isActive | isDeleted | createDate |
+----+---------+----------+-----------+------------+
| 1 | General | 1 | 0 | 2014-09-25 |
+----+---------+----------+-----------+------------+
Table question
+----+-----------------------------------------+------------+
| id | question | createDate |
+----+-----------------------------------------+------------+
| 1 | Are you satisfied with the cleanliness? | 2014-09-25 |
+----+-----------------------------------------+------------+
ManyToMany 'question_category'
+-------------+-------------+
| question_id | category_id |
+-------------+-------------+
| 1 | 1 |
+-------------+-------------+
Table questionnaire
+----+-------------------+---------+----------+-----------+------------+
| id | name | version | isActive | isDeleted | createDate |
+----+-------------------+---------+----------+-----------+------------+
| 1 | General Questions | 2.2 | 1 | 0 | 2014-09-25 |
+----+-------------------+---------+----------+-----------+------------+
Now the database contain scales and items, questions and categories and a table for the questionnaire. Now i created a big relation to assign questions to questionnairies with a specified scale. A question can be assigned to different scales on different questionaries.
Table questionnaire_question_scale
+----+-------------+------------------+----------+------+--------+
| id | question_id | questionnaire_id | scale_id | page | hash |
+----+-------------+------------------+----------+------+--------+
| 1 | 1 | 1 | 1 | 1 | X321Z1 |
+----+-------------+------------------+----------+------+--------+
In the final step i create a relation table to assign a questionnaire to a couple of users.
Table questionnaire_user
+---------+------------------+
| user_id | questionnaire_id |
+---------+------------------+
| 21 | 1 |
+---------+------------------+
Now if the user log in i will render the above informations as form and here starts my problem :)
I think my solution was inefficient, because if many users log in to fill out a questionnaire i must generate every time the questionnaire (the complex structure) as form.
This is a end point for me, unfortunately I do not know further.
I would be very grateful for ideas, tips and solution approaches
If you want to build it yourself: I suggest creating a form type, declaring it as a service and injecting the form repository (explained further down) in it.For storing it in the data base: you can create two entities (actually creating a seperate entity for each field seems better but for the sake of simplicity I use two entities) : one for forms : YourBundle:Form and one for your form-fields YourBundle:FormField.the Form entity can only contain an id and a name and a one-to-many association to FormField. the data you store in the FormField will be: a many-to-one association to Form - the field name - the field type - the field's options.you can store the options as Json or other formats and later decode it.