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I'm taking an intro to SQL course and I can't get my very first database loaded. I have a file dvdrental.tar, I create a new database dvdrental > right click > Restore > Select File > Pick "Data" under Restore options, and I get the error below.
I'm on Mac OSX and the pgAmin instance is being loaded in Chrome if that helps. I've tried deleting and re-adding the database twice and I still get the same error. I also tried reinstalling pgAdmin and fully reinstalling postgresql including removing the user account. I just tried doing it on a fresh install in a Windows environment and I get the exact same error.
PostgreSQL Materialized Views provide a powerful mechanism to enhance query performance by precomputing and storing the result set of a query as a physical table. This tutorial will guide you through the creation of Materialized Views in PostgreSQL, using the DVD Rental Database as a practical example.
A Materialized View is a snapshot of a query's result set that is stored as a physical table. Unlike regular views, which are virtual and execute the underlying query every time they are referenced, Materialized Views persist the data, allowing for faster query performance at the cost of periodic refreshes.
Materialized Views are particularly useful in scenarios where the underlying data changes infrequently compared to the frequency of query executions. This makes them ideal for scenarios such as reporting, data warehousing, and situations where real-time data is not a strict requirement.
Before we dive into Materialized Views, let's set up the DVD Rental Database. It's PostgreSQL's version of the popular Sakila Sample Database for MySQL. You can download the DVD Rental Database from the official PostgreSQL tutorial page (PostgreSQL Sample Database).
The database file is in ZIP format (dvdrental.zip) so you need to extract it to dvdrental.tar before loading the sample database into the PostgreSQL database server. Once you have extracted the .tar file, create a new database called "dvdrental" and execute the pg_restore command to populate the dvdrental database from the contents of the .tar file:
PostgreSQL Materialized Views are a valuable tool for optimizing query performance in scenarios where real-time data is not critical. By pre-computing and storing the results of complex queries, Materialized Views can significantly improve response times for analytical and reporting tasks. In this tutorial, we learned how to create a Materialized View for the DVD Rental Database, showcasing their practical application in a real-world scenario.
On my Github page you can find a docker-compose file with five defined containers: an ELK stack, pgAdmin and a PostgreSQL instance. The ELK stack will be used for collecting logs from the PostgreSQL instance. I am using a host machine running Ubuntu 16.04 with Docker version 17.05.0 and Docker Compose version 1.9.0. In the Kibana dashboard, you will be able to see an overview of all the SQL statements done by a pg_restore command, and look for any errors.
A great way to see what queries are being executed and how long they take is by enabling the logging collector on your PostgreSQL database server. The logging collector is a background process which captures log messages sent to stderr and redirects them into log files. Make sure the following settings are set in postgresql.conf:
Tshark is the terminal version of the packet capture application Wireshark. Using Tshark in combination with an ELK stack (Elasticsearch, Logstash, Kibana) it is possible to display your capture results in graphs. In this post I will explain how to capture network traffic, send it to Elasticsearch using Logstash and display graphs in Kibana. As a client I used Windows, the ELK server runs on Ubuntu.
The following command will capture network traffic for 1 minute. Once it is finished, it will run again, and so on. This will prevent memory issues with tshark and a very large .csv file. It will create a .csv file. Install Wireshark and go to C:\Program Files\Wireshark. Now run tshark:
On the Windows client Logstash or Filebeat needs to be installed to transport the .csv file to Elasticsearch. Filebeat is designed for this, you can install it using a Puppet module. On the ELK server Logstash will pick up the beat and apply a filter. Use the csv filter to assign the correct field names to the values in the .csv file.
There are two options to get Logstash running on your Windows machine. The first option is a manual installation. You need to download some files, install Java and copy your Logstash config file to the right folder. Another option is to let Puppet install it for you, which is faster and can be repeated easily. On
github.com you can find a Puppet module to install Logstash on Windows. I have created a role module which applies the Puppet module and also installs jq and the script mentioned in part 1 of this series.
Using Logstash you can collect and process all sorts of event logs. There are various input filters available, for both Linux and Windows. Since PowerShell version 4 it is possible to display PowerShell output in JSON format. This option makes it very easy to import PowerShell output into Logstash.
PowerShell can retrieve any fact about your Windows system, for example memory usage, disk space usage, cpu load, but also events from event viewer, account information from Active Directory, Radius logons from NPS, etc. etc. The possibilities are endless!
To use this as an input for Logstash, we will need to do some formatting on this output. Every new line in a textfile is a new event for Logstash. There is a great tool called jq, which can do just what we need. Again, run this in PowerShell:
DVD Rental adlı veritabanını indirmek iin buraya tıklayabilirsiniz. İndirdiğimiz zip dosyasını sanal makinamiza kopyalıyoruz. Sonrasında bir terminal aıp sırayla komutlarımızı alıştırıyoruz.
Şimdi /usr/local/ dizinin altında pgsql adında bir klasr oluşturuyoruz. Oluşturduğumuz klasre erişebilmesi iin chown komutu ile klasrn sahibini postgres olarak tanımlıyoruz. Ardından cp komutu ile masastnde bulunan dvdrental.tar dosyamızı pgsql klasrnn ierisine kopyalıyoruz.
Halihazırda arkaplanda alışan postgre servisi varsa onları service komutu ile durduruyoruz. Ardından postgres kullanıcısına geiş yapıyoruz. PostgreSQL servisini yeniden başlatmak iin /usr/lib/postgresql/11/bin/ dizini altında bulunan initdb dosyasını alıştırıyoruz. Sonrasında initdb ile aynı dizin altında bulunan pg_ctl dosyasını alıştıracağız. Bir nceki komutun sonucunda bize veritabanı sunucusunu başlatmak iin bir link sunacak, oradan kopyalayarak doğrudan alıştırabiliriz.
People often make two small errors while downloading PostgreSQL that will force them to restart this tutorial from the very beginning. Accordingly, I wanted to point out these errors from the start so that you know what not to do:
This will take you to another page where it asks you to specify which postgreSQL distribution you'd like: MacOS, Windows, Linux, or something else. If you are a Mac user, click macOS. If you are a Windows user, click Windows.
The next screen presents a grid of the different versions of postgreSQL that are available along with their compatibility with different operating systems. In general, you'll usually want to download the most recent postgreSQL distribution that is available on your operating system. In my case, this is postgreSQL 12.2, as circled below:
Double-click on the postgresql-12.2-3-osx file to start the installation process. This will open the postgreSQL setup wizard, which will ask you to specify an installation directory. It is fine to use the default installation directory in our case.
THE NEXT PAGE IS EXTREMELY IMPORTANT. This is where you specify your password for your postgreSQL database. If you ever forget this password, you will need to uninstall and reinstall everything related to postgreSQL. Because of this, be sure to note your password somewhere safe.
Once your password has been specified, the postgreSQL wizard will ask you which port you'd like to use. The port number will specify 5433 if you have never installed postgreSQL before; although it may show up as 5432 depending on your computer's configuration. It is fine to leave this value as whatever it pre-populates as.
The last step in this installation is to specify the locale to be used by the new database cluster. We will leave this as its default value of [Default Locale]. You can click Next here and then Next on the Ready to Install page to begin the installation!
In this course, we will be working with pgAdmin4. Since I am writing this tutorial from a Mac operating system, I will scroll down to the pgAdmin4 section and click the button for MacOS, as shown below:
The next page contains many files available for download. The file we are looking for is the .dmg file, which is the file extension for software installers. Click the .dmg file to download the pgAdmin4 installer.
This will open an installer window that asks you to accept the license agreement for pgAdmin. Click Agree. This will cause the .dmg file to open, which may take up to a minute. After the .dmg file opens, you will see the following window open:
This is a temporary drive on your Desktop. What we need to do is move this into our Applications folder. To do this, open up your Applications folder beside this new window, and drag-and-drop the pgAdmin 4 application into your applications folder.
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