wakayama — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-09T14:26:43Z,
for the dataset file:///shared/wakayama_171a94d8.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
和歌山バス
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-04-04
Feed End Date:
2026-08-10

Files included


  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. office_jp.txt
  9. routes.txt
  10. routes_jp.txt
  11. shapes.txt
  12. stop_times.txt
  13. stops.txt
  14. translations.txt
  15. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 126
  • Shapes: 166
  • Stops: 557
  • Trips: 5520

Specification Compliance report

2359 notices reported (475 errors, 1875 warnings, 9 infos)

Notice Code Severity Total
duplicate_key ERROR 472

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 472 affected records are displayed below.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"fare_rules.txt" 24505 24506 "fare_id,route_id,origin_id,destination_id" "10001_271_1_230,10001_271_1,48_4,1_4"
"fare_rules.txt" 24523 24524 "fare_id,route_id,origin_id,destination_id" "10001_271_1_230,10001_271_1,47_1,1_4"
"fare_rules.txt" 24540 24541 "fare_id,route_id,origin_id,destination_id" "10001_271_1_230,10001_271_1,46_1,1_4"
"fare_rules.txt" 24556 24557 "fare_id,route_id,origin_id,destination_id" "10001_271_1_220,10001_271_1,45_1,1_4"
"fare_rules.txt" 24571 24572 "fare_id,route_id,origin_id,destination_id" "10001_271_1_220,10001_271_1,7_1,1_4"
"fare_rules.txt" 24585 24586 "fare_id,route_id,origin_id,destination_id" "10001_271_1_220,10001_271_1,8_3,1_4"
"fare_rules.txt" 24598 24599 "fare_id,route_id,origin_id,destination_id" "10001_271_1_220,10001_271_1,54_2,1_4"
"fare_rules.txt" 24612 24623 "fare_id,route_id,origin_id,destination_id" "10001_271_1_220,10001_271_1,1_4,159_1"
"fare_rules.txt" 24613 24624 "fare_id,route_id,origin_id,destination_id" "10001_271_1_220,10001_271_1,1_4,160_1"
"fare_rules.txt" 24614 24625 "fare_id,route_id,origin_id,destination_id" "10001_271_1_220,10001_271_1,1_4,168_1"
"fare_rules.txt" 24615 24626 "fare_id,route_id,origin_id,destination_id" "10001_271_1_250,10001_271_1,1_4,169_1"
"fare_rules.txt" 24616 24627 "fare_id,route_id,origin_id,destination_id" "10001_271_1_250,10001_271_1,1_4,170_1"
"fare_rules.txt" 24617 24628 "fare_id,route_id,origin_id,destination_id" "10001_271_1_290,10001_271_1,1_4,171_1"
"fare_rules.txt" 24618 24629 "fare_id,route_id,origin_id,destination_id" "10001_271_1_290,10001_271_1,1_4,156_5"
"fare_rules.txt" 24619 24630 "fare_id,route_id,origin_id,destination_id" "10001_271_1_350,10001_271_1,1_4,157_1"
"fare_rules.txt" 24620 24631 "fare_id,route_id,origin_id,destination_id" "10001_271_1_350,10001_271_1,1_4,316_1"
"fare_rules.txt" 24621 24632 "fare_id,route_id,origin_id,destination_id" "10001_271_1_350,10001_271_1,1_4,290_1"
"fare_rules.txt" 24622 24633 "fare_id,route_id,origin_id,destination_id" "10001_271_1_350,10001_271_1,1_4,158_2"
"fare_rules.txt" 24698 24699 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,158_2,1_5"
"fare_rules.txt" 24698 24700 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,158_2,1_5"
"fare_rules.txt" 24717 24718 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,290_2,1_5"
"fare_rules.txt" 24717 24719 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,290_2,1_5"
"fare_rules.txt" 24735 24736 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,316_2,1_5"
"fare_rules.txt" 24735 24737 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,316_2,1_5"
"fare_rules.txt" 24752 24753 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,157_2,1_5"
"fare_rules.txt" 24752 24754 "fare_id,route_id,origin_id,destination_id" "10001_272_1_350,10001_272_1,157_2,1_5"
"fare_rules.txt" 24768 24769 "fare_id,route_id,origin_id,destination_id" "10001_272_1_290,10001_272_1,156_4,1_5"
"fare_rules.txt" 24768 24770 "fare_id,route_id,origin_id,destination_id" "10001_272_1_290,10001_272_1,156_4,1_5"
"fare_rules.txt" 24783 24784 "fare_id,route_id,origin_id,destination_id" "10001_272_1_290,10001_272_1,171_2,1_5"
"fare_rules.txt" 24783 24785 "fare_id,route_id,origin_id,destination_id" "10001_272_1_290,10001_272_1,171_2,1_5"
"fare_rules.txt" 24797 24798 "fare_id,route_id,origin_id,destination_id" "10001_272_1_250,10001_272_1,170_2,1_5"
"fare_rules.txt" 24797 24799 "fare_id,route_id,origin_id,destination_id" "10001_272_1_250,10001_272_1,170_2,1_5"
"fare_rules.txt" 24810 24811 "fare_id,route_id,origin_id,destination_id" "10001_272_1_250,10001_272_1,169_2,1_5"
"fare_rules.txt" 24810 24812 "fare_id,route_id,origin_id,destination_id" "10001_272_1_250,10001_272_1,169_2,1_5"
"fare_rules.txt" 24822 24823 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,168_2,1_5"
"fare_rules.txt" 24822 24824 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,168_2,1_5"
"fare_rules.txt" 24833 24834 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,160_2,1_5"
"fare_rules.txt" 24833 24835 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,160_2,1_5"
"fare_rules.txt" 24844 24845 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,1_5"
"fare_rules.txt" 24844 24854 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,1_5"
"fare_rules.txt" 24846 24855 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,54_1"
"fare_rules.txt" 24847 24856 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,8_2"
"fare_rules.txt" 24848 24857 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,315_2"
"fare_rules.txt" 24849 24858 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,7_3"
"fare_rules.txt" 24850 24859 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,45_2"
"fare_rules.txt" 24851 24860 "fare_id,route_id,origin_id,destination_id" "10001_272_1_230,10001_272_1,1_5,46_2"
"fare_rules.txt" 24852 24861 "fare_id,route_id,origin_id,destination_id" "10001_272_1_230,10001_272_1,1_5,47_2"
"fare_rules.txt" 24853 24862 "fare_id,route_id,origin_id,destination_id" "10001_272_1_230,10001_272_1,1_5,48_0"
"fare_rules.txt" 24846 24863 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,54_1"
"fare_rules.txt" 24847 24864 "fare_id,route_id,origin_id,destination_id" "10001_272_1_220,10001_272_1,1_5,8_2"
missing_required_column ERROR 3

missing_required_column

A required column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"translations.txt" "field_name"
"translations.txt" "language"
"translations.txt" "table_name"
duplicate_route_name WARNING 65

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

Only the first 50 of 65 affected records are displayed below.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
2 "1000_61_1" 3 "1000_62_1" "" "本町線【0】" 3 "6170001003822"
2 "1000_61_1" 4 "1000_101_1" "" "本町線【0】" 3 "6170001003822"
5 "2000_121_1" 6 "2000_122_1" "" "和歌山市内線【4】" 3 "6170001003822"
7 "2001_1351_1" 8 "2001_1352_1" "" "和歌山市内線【5】" 3 "6170001003822"
9 "2002_1211_1" 10 "2002_1212_1" "" "和歌山市内線【6】" 3 "6170001003822"
9 "2002_1211_1" 11 "2002_1421_1" "" "和歌山市内線【6】" 3 "6170001003822"
9 "2002_1211_1" 12 "2002_1422_1" "" "和歌山市内線【6】" 3 "6170001003822"
13 "2003_621_1" 14 "2003_622_1" "" "和歌山市内線【11】" 3 "6170001003822"
15 "2004_1361_1" 16 "2004_1362_1" "" "和歌山市内線【13】" 3 "6170001003822"
17 "2005_51_1" 18 "2005_52_1" "" "和歌山市内線【15】" 3 "6170001003822"
19 "2006_1191_1" 20 "2006_1192_1" "" "和歌山市内線【17】" 3 "6170001003822"
21 "2007_1221_1" 22 "2007_1222_1" "" "和歌山市内線【20】" 3 "6170001003822"
23 "2008_631_1" 24 "2008_632_1" "" "和歌山市内線【23】" 3 "6170001003822"
25 "2009_131_1" 26 "2009_132_1" "" "和歌山市内線【24】" 3 "6170001003822"
27 "2010_1371_1" 28 "2010_1372_1" "" "和歌山市内線【25】" 3 "6170001003822"
29 "2011_1471_1" 30 "2011_1472_1" "" "和歌山市内線【26】" 3 "6170001003822"
31 "2012_182_1" 32 "2012_1281_1" "" "和歌山市内線【27】" 3 "6170001003822"
33 "2013_1121_1" 34 "2013_1122_1" "" "和歌山市内線【117】" 3 "6170001003822"
35 "2014_1141_1" 36 "2014_1142_1" "" "和歌山市内線【121】" 3 "6170001003822"
37 "2015_1261_1" 38 "2015_1262_1" "" "和歌山市内線【122】" 3 "6170001003822"
39 "3000_1381_1" 40 "3000_1382_1" "" "市内雑賀崎循環線【30】" 3 "6170001003822"
41 "3001_361_1" 42 "3001_362_1" "" "市内雑賀崎循環線【33】" 3 "6170001003822"
43 "3002_1391_1" 44 "3002_1392_1" "" "市内雑賀崎循環線【34】" 3 "6170001003822"
45 "4000_221_1" 46 "4000_222_1" "" "西浜新和歌浦線【35】" 3 "6170001003822"
47 "5000_1201_1" 48 "5000_1202_1" "" "紀三井寺線【40】" 3 "6170001003822"
49 "5001_571_1" 50 "5001_572_1" "" "紀三井寺線【42】" 3 "6170001003822"
51 "5002_581_1" 52 "5002_582_1" "" "紀三井寺線【43】" 3 "6170001003822"
53 "5003_1151_1" 54 "5003_1152_1" "" "紀三井寺線【44】" 3 "6170001003822"
55 "6000_541_1" 56 "6000_542_1" "" "琴の浦線【47】" 3 "6170001003822"
57 "7000_1161_1" 58 "7000_1162_1" "" "塩屋線【52】" 3 "6170001003822"
59 "7001_661_1" 60 "7001_662_1" "" "塩屋線【53】" 3 "6170001003822"
61 "7002_1401_1" 62 "7002_1402_1" "" "塩屋線【55】" 3 "6170001003822"
63 "7003_1411_1" 64 "7003_1412_1" "" "塩屋線【56】" 3 "6170001003822"
65 "8000_761_1" 66 "8000_762_1" "" "湊線【60】" 3 "6170001003822"
69 "8003_971_1" 70 "8003_972_1" "" "湊線【160】" 3 "6170001003822"
71 "8004_1251_1" 72 "8004_1252_1" "" "湊線【161】" 3 "6170001003822"
74 "9000_1241_1" 75 "9000_1242_1" "" "紀和線【65】" 3 "6170001003822"
76 "10000_711_1" 77 "10000_712_1" "" "和歌山大学線【72】" 3 "6170001003822"
78 "10001_271_1" 79 "10001_272_1" "" "和歌山大学線【73】" 3 "6170001003822"
80 "10002_861_1" 81 "10002_862_1" "" "和歌山大学線【172】" 3 "6170001003822"
82 "10003_1171_1" 83 "10003_1172_1" "" "和歌山大学線【272】" 3 "6170001003822"
84 "10004_1181_1" 85 "10004_1182_1" "" "和歌山大学線【273】" 3 "6170001003822"
86 "11000_981_1" 87 "11000_982_1" "" "和歌山大学連絡線【78】" 3 "6170001003822"
88 "11001_1271_1" 89 "11001_1272_1" "" "和歌山大学連絡線【79】" 3 "6170001003822"
90 "12000_801_1" 91 "12000_802_1" "" "藤戸線【370】" 3 "6170001003822"
92 "12001_821_1" 93 "12001_822_1" "" "藤戸線【372】" 3 "6170001003822"
94 "13000_281_1" 95 "13000_282_1" "" "坂田線【75】" 3 "6170001003822"
96 "13001_1101_1" 97 "13001_1102_1" "" "坂田線【175】" 3 "6170001003822"
98 "15000_651_1" 99 "15000_652_1" "" "六十谷線【83】" 3 "6170001003822"
98 "15000_651_1" 100 "15000_1481_1" "" "六十谷線【83】" 3 "6170001003822"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 1694

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

Only the first 50 of 1694 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
"fare_attributes.txt" 5 "agency_id"
"fare_attributes.txt" 6 "agency_id"
"fare_attributes.txt" 7 "agency_id"
"fare_attributes.txt" 8 "agency_id"
"fare_attributes.txt" 9 "agency_id"
"fare_attributes.txt" 10 "agency_id"
"fare_attributes.txt" 11 "agency_id"
"fare_attributes.txt" 12 "agency_id"
"fare_attributes.txt" 13 "agency_id"
"fare_attributes.txt" 14 "agency_id"
"fare_attributes.txt" 15 "agency_id"
"fare_attributes.txt" 16 "agency_id"
"fare_attributes.txt" 17 "agency_id"
"fare_attributes.txt" 18 "agency_id"
"fare_attributes.txt" 19 "agency_id"
"fare_attributes.txt" 20 "agency_id"
"fare_attributes.txt" 21 "agency_id"
"fare_attributes.txt" 22 "agency_id"
"fare_attributes.txt" 23 "agency_id"
"fare_attributes.txt" 24 "agency_id"
"fare_attributes.txt" 25 "agency_id"
"fare_attributes.txt" 26 "agency_id"
"fare_attributes.txt" 27 "agency_id"
"fare_attributes.txt" 28 "agency_id"
"fare_attributes.txt" 29 "agency_id"
"fare_attributes.txt" 30 "agency_id"
"fare_attributes.txt" 31 "agency_id"
"fare_attributes.txt" 32 "agency_id"
"fare_attributes.txt" 33 "agency_id"
"fare_attributes.txt" 34 "agency_id"
"fare_attributes.txt" 35 "agency_id"
"fare_attributes.txt" 36 "agency_id"
"fare_attributes.txt" 37 "agency_id"
"fare_attributes.txt" 38 "agency_id"
"fare_attributes.txt" 39 "agency_id"
"fare_attributes.txt" 40 "agency_id"
"fare_attributes.txt" 41 "agency_id"
"fare_attributes.txt" 42 "agency_id"
"fare_attributes.txt" 43 "agency_id"
"fare_attributes.txt" 44 "agency_id"
"fare_attributes.txt" 45 "agency_id"
"fare_attributes.txt" 46 "agency_id"
"fare_attributes.txt" 47 "agency_id"
"fare_attributes.txt" 48 "agency_id"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
"fare_attributes.txt" 51 "agency_id"
mixed_case_recommended_field WARNING 5

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "開智中学校・高等学校前(和歌山バス)" 555
"stops.txt" "stop_name" "開智中学校・高等学校前(和歌山バス)" 556
"trips.txt" "trip_headsign" "開智中学校・高等学校前(和歌山バス)" 5391
"trips.txt" "trip_headsign" "開智中学校・高等学校前(和歌山バス)" 5392
"trips.txt" "trip_headsign" "開智中学校・高等学校前(和歌山バス)" 5393
stop_too_far_from_shape WARNING 3

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
3894 "1_971_1" "113_4501_20260404" 90667 "326_2" "和歌山港駅" [34.218563114915746,135.14820733736948] 280.2314120756578
4490 "1_821_1" "112_3527_20260404" 104760 "356_1" "和歌山大学前駅" [34.27333888888889,135.14864444444444] 289.3511215933242
4498 "1_822_1" "109_5642_20260404" 104573 "356_2" "和歌山大学前駅" [34.27328055555555,135.148625] 276.0066349880208
stop_without_stop_time WARNING 46

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
9 "1_7" "南海和歌山市駅"
10 "1_8" "南海和歌山市駅"
11 "1_9" "南海和歌山市駅"
12 "1_10" "南海和歌山市駅"
58 "18_3" "和歌浦口"
59 "18_4" "和歌浦口"
78 "26_3" "布引南"
79 "26_4" "布引南"
128 "57_3" "マリーナシティ"
205 "94_3" "長路"
273 "129_1" "友田町五丁目"
274 "129_2" "友田町五丁目"
327 "156_3" "貴志"
330 "156_6" "貴志"
340 "160_3" "北島"
341 "160_4" "北島"
352 "172_1" "梅原"
353 "172_2" "梅原"
354 "173_1" "木の本口"
355 "173_2" "木の本口"
356 "174_1" "石橋"
357 "174_2" "石橋"
358 "175_1" "警察学校口"
359 "175_2" "警察学校口"
360 "176_1" "木の本"
431 "228_1" "坂田"
433 "228_3" "坂田"
442 "239_1" "鳴神住宅前"
445 "240_1" "井辺"
446 "240_2" "井辺"
447 "241_1" "寺内"
448 "241_2" "寺内"
449 "242_1" "岡崎農協前"
450 "242_2" "岡崎農協前"
451 "243_1" "岡崎"
452 "243_2" "岡崎"
453 "244_1" "東高校前"
454 "244_2" "東高校前"
455 "245_1" "岡崎駅前"
456 "245_2" "岡崎駅前"
457 "246_1" "東中学校前"
458 "246_2" "東中学校前"
480 "296_1" "西脇中学校前"
481 "297_1" "ゲートゴルフ場前"
482 "298_2" "ふれあいの郷"
487 "308_2" "信愛短期大学"
unused_shape WARNING 61

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

Only the first 50 of 61 affected records are displayed below.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"1_101_1" 2
"1_1091_1" 264
"1_1092_1" 276
"1_1211_1" 2954
"1_1212_1" 3027
"1_1241_1" 3450
"1_1242_1" 3491
"1_1271_1" 3826
"1_1272_1" 3876
"1_1291_1" 3944
"1_1292_1" 4119
"1_1311_1" 4417
"1_1312_1" 4657
"1_141_1" 7135
"1_142_1" 7443
"1_1452_1" 8089
"1_1462_1" 8248
"1_1481_1" 8405
"1_151_1" 9059
"1_152_1" 9112
"1_161_1" 9155
"1_162_1" 9205
"1_171_1" 9244
"1_172_1" 9291
"1_181_1" 9328
"1_241_1" 9645
"1_242_1" 9721
"1_261_1" 9986
"1_262_1" 10131
"1_271_1" 10280
"1_291_1" 10642
"1_292_1" 10654
"1_301_1" 10666
"1_302_1" 10679
"1_321_1" 10692
"1_331_1" 11053
"1_341_1" 11468
"1_371_1" 12111
"1_372_1" 12138
"1_391_1" 12166
"1_392_1" 12320
"1_451_1" 12737
"1_452_1" 12870
"1_481_1" 13061
"1_482_1" 13163
"1_581_1" 13762
"1_582_1" 13871
"1_591_1" 13999
"1_592_1" 14020
"1_601_1" 14041
unknown_column INFO 6

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 9
"trips.txt" "jp_trip_desc_symbol" 10
"trips.txt" "jp_office_id" 11
"translations.txt" "trans_id" 1
"translations.txt" "lang" 2
unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"routes_jp.txt"
"agency_jp.txt"
"office_jp.txt"