Category: PostgreSQL

15. March 2020 .NET Core, Apache Spark, Big Data, C#, Database, Entity Framework, PostgreSQL

.NET for Apache Spark ForeachWriter & PostgreSQL

.NET for Apache Spark IForeachWriter implementation

Introduction

A couple of months ago I’ve described how to transfer data from Apache Spark to PostgreSQL by creating a Spark ForeachWriter in Scala.

This time I will show how this can be done in C#, by creating a ForeachWriter for .NET for Apache Spark.

To create a custom ForeachWriter, one needs to provide an implementation of the IForeachWriter interface, which is supported from version 0.9.0 onward. I am going to use version 0.10.0 in this article, however.

Documentation of the C# Interface is provided within the related source code:

https://github.com/dotnet/spark/blob/master/src/csharp/Microsoft.Spark/Sql/ForeachWriter.cs

The example project I am … more

14. September 2019 Big Data, PostgreSQL, Time Series

PostgreSQL & Grafana – Real-time data processing pipeline – Part 6

Believe it or not, we are getting to the end of this small series about a potential real-time data processing pipeline.
In this final part I will show how Grafana can retrieve our pipeline data from PostgreSQL and visualize it as a graph. But before we dive into it, let’s have a quick recap of the previous topics.

So the bit that is still missing, is the visualization of data.

Starting the docker image

To keep things simple, I … more

31. August 2019 Apache Spark, Apache Zeppelin, Big Data, Database, PostgreSQL, Scala

Spark to PostgreSQL – Real-time data processing pipeline – Part 5

Previously I have demonstrated how streaming data can be read and transformed in Apache Spark. This time I use Spark to persist that data in PostgreSQL.

Quick recap – Spark and JDBC

As mentioned in the post related to ActiveMQ, Spark and Bahir, Spark does not provide a JDBC sink out of the box. Therefore, I will have to use the foreach sink and implement an extension of the org.apache.spark.sql.ForeachWriter. It will take each individual data row and write it to PostgreSQL.

Preparing PostgreSQL

TimescaleDB logo

Even though I want to use PostgreSQL, I am actually

… more
6. April 2019 Apache Spark, Apache Zeppelin, Big Data, Database, PostgreSQL

Apache Zeppelin mit PySpark und PostgreSQL benutzen – Teil 3

Nachdem wir in Teil 1 und Teil 2 bereits erfahren haben, wie wir Zeppelin direkt mit PostgreSQL benutzen können, widmet sich der letzte Teil der Abfrage der Testdatenbank mit PySpark.

Ehe wir loslegen können, braucht unsere Datenbank erst einmal ein paar Testdaten. Da es in dieser Miniserie nicht um das Abfragen und Aufbereiten von Daten an sich geht, benutze ich für das schnelle Erzeugen von Daten einfach das Tool PgBench. Details dazu könnt ihr unter https://www.postgresql.org/docs/11/pgbench.html nachlesen.

Folgendes Kommando erzeugt dabei 100000 Datensätze in der Tabelle pgbench_accounts 

pgbench -d -U testadmin -i test

Nun können wir … more

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