DuckDB rewrite: minor tweaks

Author: derhuerst

.eslintrc.json

@@ -12,7 +12,7 @@
 		"node_modules"
 	],
 	"rules": {
-		"no-unused-vars": "off",
+		"no-unused-vars": "warn",
 		"no-irregular-whitespace": "off"
 	}
 }

cli.js

@@ -41,10 +41,10 @@ const {
 		'stops-without-level-id': {
 			type: 'boolean',
 		},
-		'lower-case-lang-codes': {
+		'stops-location-index': {
 			type: 'boolean',
 		},
-		'stops-location-index': {
+		'lower-case-lang-codes': {
 			type: 'boolean',
 		},
 		'stats-by-route-date': {

docs/import-metadata.md

@@ -15,4 +15,4 @@ SELECT gtfs_via_postgres_options()
 -- {"schema": "public", "silent": false, "importStart": 1681417454781, "importMetadata": true, … }
 SELECT (gtfs_via_postgres_options())['tripsWithoutShapeId']
 -- true
-```
+```

docs/multiple-datasets.md

@@ -1,8 +1,8 @@
-# importing multiple datasets into one DB
+# working with multiple datasets
 
 Using `gtfs-via-postgres`, you can import more than one dataset into a single PostgreSQL database by importing them into separate [schemas](https://www.postgresql.org/docs/14/ddl-schemas.html). You can then run queries combine or compare data from them.
 
-As an example, let's import two datasets ([Paris](https://en.wikipedia.org/wiki/Île-de-France_Mobilités)' and [Berlin](https://en.wikipedia.org/wiki/Verkehrsverbund_Berlin-Brandenburg)'s) into separate schemas:
+As an example, let's compare two datasets from [Paris](https://en.wikipedia.org/wiki/Île-de-France_Mobilités) and [Berlin](https://en.wikipedia.org/wiki/Verkehrsverbund_Berlin-Brandenburg).
 
 ```shell
 wget -U 'gtfs-via-postgres demo' -O paris.gtfs.zip 'https://eu.ftp.opendatasoft.com/stif/GTFS/IDFM-gtfs.zip'

example.sh

@@ -1,6 +1,7 @@
 #!/bin/sh
 
 set -e
+set -u
 set -o pipefail
 
 2>&1 echo "importing into PostgreSQL:"
@@ -13,7 +14,7 @@ psql -c "$(cat <<- EOM
 	SELECT
 		trip_id, route_id,
 		from_stop_id, t_departure,
-		stop_sequence,
+		from_stop_sequence,
 		to_stop_id, t_arrival
 	FROM connections
 	WHERE trip_id = 'during-dst-1'