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UrlsController
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The Controller app of the PDF Aggregation Service.
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Lampros Smyrnaios 6aab1d242b - Improve performance when handling WorkerReports' database insertions, by using parallelism to insert to two different tables in the same time. Also, pre-cache the query-argument-types. 
- Update the error-message and counting system, on partial insertion event.
 		2022-02-04 14:48:22 +02:00
gradle/wrapper - Workaround a bug of Impala-JDBC-Driver, when creating insert-prepared-statements. 2021-12-24 00:25:50 +02:00
src/main - Improve performance when handling WorkerReports' database insertions, by using parallelism to insert to two different tables in the same time. Also, pre-cache the query-argument-types. 2022-02-04 14:48:22 +02:00
.gitignore springified project 2022-01-30 22:15:13 +02:00
Dockerfile finishing toucehs 2022-02-01 16:57:28 +02:00
README.md - Implement the "getAndUploadFullTexts" functionality. In order to access the S3-ObjectStore from one trusted place, the Controller will request the files from the workers and upload them on S3. Afterwards, the workers will delete those files from their local storage. Previously, each worker uploaded its own files. 2021-11-30 18:23:27 +02:00
build.gradle finished merge 2022-01-31 04:17:16 +02:00
installAndRun.sh Fix not prioritizing the gradle version defined inside the "installAndRun.sh" script. 2022-01-21 15:45:12 +02:00
settings.gradle - Add the "isControllerAlive"-endpoint. 2021-09-23 15:08:52 +03:00

README.md

UrlsController

This is the Controller's Application.
It receives requests coming from the workers , constructs an assignments-list with data received from a database and returns the list to the workers.
Then it receives the "WorkerReports" and writes them into the database.
The database used is the Impala .
[...]

To install and run the application, run git clone. Then, provide a file "S3_minIO_credentials.txt", inside the working directory.
In the "S3_minIO_credentials.txt" file, you should provide the endpoint, the accessKey, the secretKey, the region and the bucket, in that order, separated by comma.
Afterwards, execute the installAndRun.sh script.
If you want to just run the app, then run the script with the argument "1": ./installAndRun.sh 1.