Updated docs

.docs/examples/covid19.md

----
-author: Martin Weise
----
-
-## tl;dr
-
-tbd
-
-## Description
-
-TBD
-
-## Solution
-
-TBD
-
-## DBRepo Features
-
-- [x] Large Dataset ≈15GiB
-- [x] Subset Citation using PID
-- [x] External access from Grafana Dashboard
\ No newline at end of file

.docs/examples/hazard.md

@@ -9,11 +9,34 @@ author: Martin Weise
 
 ## Description
 
-TBD
+This data base contains concentrations of hazardous substances and other water quality parameters in different
+environmental compartments:
+
+* river water (water and suspended sediments)
+* ground water
+* waste water (treated and untreated) and sewage sludge
+* storm water runoff from combined and separate sewer systems
+* atmospheric deposition
+* soil
+
+Data from many different data sources were collected, checked and combined and meta data were harmonized to allow for
+a combined data evaluation.
 
 ## Solution
 
-TBD
+We imported the database from the [archive](https://doi.org/10.48436/yaecs-dgr27) repository, converted the PostgreSQL
+language code to MariaDB:
+
+* `"current_user"()` to `current_user()`
+* `SEQUENCE CACHE 1` to `NOCACHE` because of MariaDB Galera distribution not being able to cache sequences
+* `(0)::double precision` to `0.0`
+* `character varying` to `text` because MariaDB needs sizes, `text` data type can have arbitrary size
+* `!~~` to `NOT LIKE`
+* `ANY ARRAY` to `<array> OR <array2>` because of different MariaDB syntax
+
+The complex nature of the views (i.e. `SELECT-FROM-SELECT` statements) required a logical overhaul of how DBRepo obtains
+view metadata. As a consequence, we removed the SQL parser that tried to parse the metadata up to a depth of 10 to a
+simple query to the `information_schema` that is maintained by the database engine.
 
 ## DBRepo Features
 

.docs/examples/transportation.md

@@ -2,10 +2,27 @@
 author: Martin Weise
 ---
 
+## tl;dr
+
+[:fontawesome-solid-database:  Dataset](https://dbrepo1.ec.tuwien.ac.at/pid/14){ .md-button .md-button--primary target="_blank" }
+[:simple-grafana:  Dashboard](https://dbrepo1.ec.tuwien.ac.at/admin/grafana/d/8meGcJD4k/wiener-linien){ .md-button .md-button--secondary target="_blank" }
+
 ## Description
 
-TBD
+The Subway Transportation Data-Dataset is a comprehensive and dynamic collection of data that captures the intricate 
+details of the city's public transportation system. This dataset encompasses a wide array of information, including bus 
+and tram schedules, subway routes, ticketing details, and real-time updates on vehicle locations.
 
 ## Solution
 
-TBD
\ No newline at end of file
+We wrote an algorithm that parses open data (available) information from Wiener Linien, Vienna's public transportation
+agency directly and feeds it, after some cleaning, into DBRepo on a 5-minute interval.
+
+![Subway Transportation Data Dashboard](images/screenshots/transportation-dashboard.png)
+
+## DBRepo Features
+
+- [x] Dynamic data (live data)
+- [x] System versioning
+- [x] Subset exploration
+- [x] External visualization of the database
\ No newline at end of file

docker-compose.yml

@@ -137,7 +137,7 @@ services:
       DELETED_RECORD: "${DELETED_RECORD:-persistent}"
       GRANULARITY: "${GRANULARITY:-YYYY-MM-DDThh:mm:ssZ}"
       JWT_PUBKEY: "${JWT_PUBKEY:-MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAqqnHQ2BWWW9vDNLRCcxD++xZg/16oqMo/c1l+lcFEjjAIJjJp/HqrPYU/U9GvquGE6PbVFtTzW1KcKawOW+FJNOA3CGo8Q1TFEfz43B8rZpKsFbJKvQGVv1Z4HaKPvLUm7iMm8Hv91cLduuoWx6Q3DPe2vg13GKKEZe7UFghF+0T9u8EKzA/XqQ0OiICmsmYPbwvf9N3bCKsB/Y10EYmZRb8IhCoV9mmO5TxgWgiuNeCTtNCv2ePYqL/U0WvyGFW0reasIK8eg3KrAUj8DpyOgPOVBn3lBGf+3KFSYi+0bwZbJZWqbC/Xlk20Go1YfeJPRIt7ImxD27R/lNjgDO/MwIDAQAB}"
-      LOG_LEVEL: trace
+      LOG_LEVEL: ${LOG_LEVEL:-info}
       METADATA_DB: "${METADATA_DB:-dbrepo}"
       METADATA_HOST: "${METADATA_HOST:-metadata-db}"
       METADATA_JDBC_EXTRA_ARGS: "${METADATA_JDBC_EXTRA_ARGS:-}"
@@ -482,7 +482,7 @@ services:
       GRANT_DEFAULT_READ: "${GRANT_DEFAULT_READ:-SELECT}"
       GRANT_DEFAULT_WRITE: "${GRANT_DEFAULT_WRITE:-SELECT, CREATE, CREATE VIEW, CREATE ROUTINE, CREATE TEMPORARY TABLES, LOCK TABLES, INDEX, TRIGGER, INSERT, UPDATE, DELETE}"
       JWT_PUBKEY: "${JWT_PUBKEY:-MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAqqnHQ2BWWW9vDNLRCcxD++xZg/16oqMo/c1l+lcFEjjAIJjJp/HqrPYU/U9GvquGE6PbVFtTzW1KcKawOW+FJNOA3CGo8Q1TFEfz43B8rZpKsFbJKvQGVv1Z4HaKPvLUm7iMm8Hv91cLduuoWx6Q3DPe2vg13GKKEZe7UFghF+0T9u8EKzA/XqQ0OiICmsmYPbwvf9N3bCKsB/Y10EYmZRb8IhCoV9mmO5TxgWgiuNeCTtNCv2ePYqL/U0WvyGFW0reasIK8eg3KrAUj8DpyOgPOVBn3lBGf+3KFSYi+0bwZbJZWqbC/Xlk20Go1YfeJPRIt7ImxD27R/lNjgDO/MwIDAQAB}"
-      LOG_LEVEL: ${LOG_LEVEL:-trace}
+      LOG_LEVEL: ${LOG_LEVEL:-info}
       MIN_CONCURRENT_CONSUMERS: ${MIN_CONCURRENT_CONSUMERS:-1}
       MAX_CONCURRENT_CONSUMERS: ${MAX_CONCURRENT_CONSUMERS:-5}
       QUEUE_NAME: ${QUEUE_NAME:-dbrepo}

mkdocs.yml

@@ -44,11 +44,7 @@ nav:
     - UI:
       - Customization: api/ui.md
   - Examples:
-    - COVID-19 Tweets: examples/covid19.md
     - Hazardous Materials: examples/hazard.md
-    - Influenza Monitoring: examples/influenza.md
-    - Manufacturing Data: examples/manufacturing.md
-    - Power Usage: examples/power.md
     - Transportation Monitoring: examples/transportation.md
   - publications.md
   - contact.md