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MySql | relational database vs non relational database in terms of Performance


MySql | relational database vs non relational database in terms of Performance

By : user2956705
Date : November 22 2020, 10:56 AM
I hope this helps you . Foreign keys are basically used for data integrity.
Of course, indexing boosts performance.
code :


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User-created database structure: non-relational or relational databases?

User-created database structure: non-relational or relational databases?


By : user2239297
Date : March 29 2020, 07:55 AM
this will help I highly recommend you check out CouchDB for this.
You communicate with CouchDB using a straightforward REST API. In other words, it is "Made of the Web" rather than simply being a backend db like MongoDB and others. CouchDB can actually serve the forms and receive submissions since has a built-in web server. Being a JSON document store it is well-suited for storing structured-yet-schemaless data. (Forms and their submissions are really documents and it makes more sense to model them this way, IMO.) You could easily store a JSON document that describes each web form in the same "bucket" as the form submissions. (CouchDB can even parse form POSTs and turn them into JSON docs however you see fit. Having it automatically timestamp form submissions, for example, is simple.) You could write what is known as a "_show" function to actually generate each form's html code within CouchDB. Also check out "_update" and validation functions. It has the security features you would need. Document conflicts can be identified easily. Even better, CouchDB automatically determines a "winning" version of the document but you will continue to have access to the "losing" document versions (until you tell CouchDB to compact the database, which removes old revisions.) Regarding uniqueness: instead of having CouchDB generate unique doc _id's you'll want to assign an _id that truly represents a unique form submission. If each user is only allowed one submission per form then use something along these lines for each JSON document created from a form submission: submission:user:5:form:a3df2a712
The benefits of using an object relational database such as Oracle/PostrgreSQL vs a regular Relational database?

The benefits of using an object relational database such as Oracle/PostrgreSQL vs a regular Relational database?


By : user2355028
Date : March 29 2020, 07:55 AM
I hope this helps . If you are using an ORM database, you might find it easier to program the interface for fetching data (e.g. no need for developing a special DB software layer), however there will be additional overhead since ORM will generally generate a lot of different methods such as Rails' ActiveRecord find_by_... . Your data underneath will probably still be stored in a relational DB.
With relational DB, the advantage is that it is usually better geared for your specific problem, as your data access layer will only have the minimum neccessary functions for retrieving stuff. The cons are the need to build your own db access layer and having to produce ER diagram for future reference and updates to DB.
Does Elastic Search performance get affected on Relational database models such as MySQL?

Does Elastic Search performance get affected on Relational database models such as MySQL?


By : Amit Shah
Date : March 29 2020, 07:55 AM
wish of those help The good news is that Hibernate search is starting to support elasticsearch.
An example here: https://github.com/dadoonet/hsearch-es-demo/tree/02-hibernatesearch?files=1
How to use one relational(postGreSql) and one non-relational(MongoDb) database in single node.js application

How to use one relational(postGreSql) and one non-relational(MongoDb) database in single node.js application


By : Nico
Date : March 29 2020, 07:55 AM
hop of those help? yeah... NoSQL & another RDBMS together...because
NoSQL: fast and simple, but has little to none structure to enforce constraints on data.
Logstash - create terms from relational database group by

Logstash - create terms from relational database group by


By : Ryan Adam
Date : March 29 2020, 07:55 AM
I wish this help you Logstash put the events in the index as they come to it unless you apply some filter. You case looks pretty straight forward. If you format your sql query to return the data in the format your require, then you dont need to apply any filter and can just hook up the database and sql query to run in logstash config and the output as elastic search index.
For example:
code :
SELECT team as id, 
       team, 
       GROUP_CONCAT(DISTINCT buyer SEPARATOR ', ') as buyers
FROM tablename GROUP BY team
+-----+------+------------------------+
| id  | team |         buyers         |
+-----+------+------------------------+
| one | one  | Q76876, Q66567, T99898 |
| two | two  | Q45456, S77676         |
+-----+------+------------------------+
input {
  jdbc {
     jdbc_driver_library => "${DATABASE_DRIVER_PATH}"
     jdbc_driver_class => "${DATABASE_DRIVER_PATH}"
     jdbc_connection_string => "{CONNECTIONSTRING}"
     jdbc_user => "${DATABASE_USERNAME}"
     jdbc_password => "${DATABASE_PASSWORD}"
     statement_filepath => "${LOGSTASH_SQL_FILEPATH}" #this will be the sql written above
  }
}

filter {
}

output {
    elasticsearch {
        action => "index"       
        hosts => ["${ELASTICSEARCH_HOST}"]
        user => "${ELASTICSEARCH_USER}"
        password => "${ELASTICSEARCH_PASSWORD}"
        index => "${INDEX_NAME}"       
        document_type => "doc"                      
        document_id => "%{id}"       
    }
    stdout { codec => rubydebug }
    stdout { codec => dots }
}
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