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A variant of Spring's JdbcTemplate that uses Oracle Update Batching. If Spring's classic JdbcTemplate is used in combination with an Oracle DB, the `batchUpdate()` methods won't return the number of affected rows. Instead, these methods do always return an array containing -2 (`Statement#SUCCESS_NO_INFO`) in each element. In order to get the number of affected rows during a batch INSERT/UPDATE/DELETE, it is required to use [Oracle Update Batching](http://docs.oracle.com/cd/B28359_01/java.111/b31224/oraperf.htm#autoId2).

ENERKOs Report Engine is an Apache-POI based reporting engine that runs inside an Oracle Database. It has two main purposes: First, it creates reports as Excel worksheets from either SQL-Statements or pipelined table functions. Second, it evaluates existing Excel worksheets or new reports on the fly and presents them as a pipelined function that can be queried like any physical table.

The SigTest open source project is a collection of tools based on Oracle's commercial SigTest tools product. The SigTest tools can be used to compare APIs and to measure the test coverage of an API. Warning: this is an unofficial build of the open source SigTest tool made specifically for the Maven central repository by Alexey Gavrilov (mailto: [email protected]).

SODA for Java is a library for writing Java apps that work with JSON (and not only JSON!) in the Oracle Database. SODA allows your Java app to use the Oracle Database as a NoSQL document store. You can use SODA to perform create, read, update, and delete (CRUD) operations on JSON documents, as well as arbitrary binary documents (images, PDFs, mp3s, etc). For all types of documents, CRUD operations are driven by keys (each document in SODA has a unique key). For JSON documents, in addition to keys, operations can be driven by easy to use pattern-like queries knowns as QBEs (queries-by-example).

To run all integration tests, you need to set up all the databases: 1) Derby: $ export DERBY_HOME=/path/to/db-derby-10.14.2.0-bin $ cd $DERBY_HOME $ mkdir databases; cd databases $ java -jar $DERBY_HOME/lib/derbyrun.jar server start 2) MS SQL Server (for official and jtds drivers): $ podman run -itd --name pax.jdbc.sqlserver -e 'ACCEPT_EULA=Y' -e 'SA_PASSWORD=PaxJdbc!(*67' -e 'MSSQL_PID=Express' \ -p 1433:1433 -d mcr.microsoft.com/mssql/server:2022-latest 3) MariaDB: $ podman run --name pax.jdbc.mariadb -p 3306:3306 -e MYSQL_ROOT_PASSWORD=paxjdbc -d mariadb 4) MySQL: $ podman run --name pax.jdbc.mysql -p 3307:3306 -e MYSQL_ROOT_PASSWORD=paxjdbc -d mysql 5) PostgreSQL: $ podman run --name pax.jdbc.postgresql -e POSTGRES_USER=paxjdbc -e POSTGRES_PASSWORD=paxjdbc -p 5432:5432 -d postgres:latest 6) Oracle (a bit unofficial): $ podman run -itd --name pax.jdbc.oracle -p 1521:1521 --privileged=true oracleinanutshell/oracle-xe-11g

The chart-fx charting library is an extension in the spirit of Oracle's XYChart and performance/time-proven JDataViewer charting functionalities. Emphasis was put on plotting performance for both large number of data points and real-time displays, as well as scientific accuracies leading to error bar/surface plots, and other scientific plotting features (parameter measurements, fitting, multiple axes, zoom, ...). The library also contains a small set of math routines that can operate directly on the DataSet primitive for fitting, computing spectra, linear algebra, FIR/IIR filtering, and other functionalities common to signal processing.

The Spark Universal Migrator is a data migration Spark application that fetches data from an Oracle database and stores it in a Hive database. It utilizes JDBC to connect to Oracle, processes and converts the data into a Hive-compatible schema, and then transfers it to Hive. The migration process employs iterators to generate queries for data retrieval and utilizes a BlockingQueue in conjunction with a ThreadPoolExecutor for parallel processing of data. Additionally, the application incorporates an Oracle connection pool to efficiently manage and reuse database connections, further optimizing performance and resource utilization during the migration process.

The chart-fx charting library is an extension in the spirit of Oracle's XYChart and performance/time-proven JDataViewer charting functionalities. Emphasis was put on plotting performance for both large number of data points and real-time displays, as well as scientific accuracies leading to error bar/surface plots, and other scientific plotting features (parameter measurements, fitting, multiple axes, zoom, ...). The library also contains a small set of math routines that can operate directly on the DataSet primitive for fitting, computing spectra, linear algebra, FIR/IIR filtering, and other functionalities common to signal processing.