Managing and analyzing these data is becoming increasingly important, enabling novel applications that may transform science and society. The volumes of spatial data that modern-day systems are generating has met staggering growth during the last few years. Furthermore, the average response time is radically reduced with the use of indexes, especially in the case of MongoDB. The evaluation is based upon real, business scenarios and their subsequent queries as well as their underlying infrastructures and concludes in confirming the superiority of PostgreSQL in almost all cases with the exception of the polygon intersection queries. In particular, the work conducted, set to identify the most efficient data store system in terms of response times, comparing two of the most representative of the two categories (NoSQL and relational), i.e. This work is motivated by the question of which of those data storage systems is better suited to address the needs of industrial applications. The most prominent case is perhaps the data storage systems, that have developed a large number of functionalities to efficiently support spatio-temporal data operations. As such, in order to meet the application requirements, more and more systems are adapting to the specificities of those data. Postgres=# SELECT * FROM MongoDB_db.Several modern day problems need to deal with large amounts of spatio-temporal data. You can now execute read/write commands to MongoDB: Postgres=# IMPORT FOREIGN SCHEMA "MongoDB" FROM SERVER MongoDB INTO MongoDB_db Import all the tables in the MongoDB database you defined in the daemon configuration file: Postgres=# CREATE USER MAPPING for postgres SERVER MongoDB OPTIONS (username Postgres=# CREATE SERVER MongoDB FOREIGN DATA WRAPPER mysql_fdw OPTIONS (hostĬreate a user mapping for the username and password of a user known to the MySQL daemon. Query MongoDB Data as a PostgreSQL DatabaseĪfter you have installed the extension, follow the steps below to start executing queries to MongoDB data: To complete the installation, you will need to load the libmysqlclient library into the environment for example by adding it to the path. Add the pg_config and mysql_config executables to your PATH:Įnv PATH=/usr/local/pgsql/bin:/usr/local/mysql/bin:$PATH make USE_PGXS=1 Install the MySQL C client library and obtain the source for the EnterpriseDB FDW for MySQL from GitHub, for example. Otherwise, follow the steps below to build it yourself: If pgxn is available for your operating system, you can install with the following: The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. Java -jar -f .iniīuild and Install the MySQL Foreign Data Wrapper Start the MySQL Remoting Service with the following command:.The driver creates a default configuration suitable for testing: Simply start the service to connect to MongoDB data. You can find all of the configuration options for the MySQL daemon in the help documentation.įollow the steps below to enable the MySQL Remoting feature of the CData JDBC Driver for MongoDB. Mongodb = "Server=MyServer Port=27017 Database=test User=test Password=Password "Īdditionally, create a user in the users section. The configuration file for the daemon is located in the lib subfolder of the installation directory for the driver. Add connection properties to the databases section of the configuration file for the daemon. The MySQL daemon exposes MongoDB data as a MySQL database named CDataMongoDB. In this article, we install the FDW and query MongoDB data from PostgreSQL Server.įollow the steps below to configure the driver's MySQL daemon to use the credentials and other connection properties needed to connect to MongoDB. To access MongoDB data as a PostgreSQL database, use the Remoting feature of the CData JDBC Driver for MongoDB and the MySQL foreign data wrapper (FDW) from EnterpriseDB. Using the remoting features of our JDBC Drivers, you can nowĬreate PostgreSQL entry-points that you can connect to from any standard client. From standard Drivers to BI and Analytics tools, PostgreSQL There are a vast number of PostgreSQL clients available on the Internet.
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