GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 5.0.1 at 2024-06-17T14:12:35Z,
for the dataset file:///tmp/1_in.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
N/A
Publisher URL:
N/A
Feed Language:
N/A

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt
  9. trips_extensions.txt

Counts

  • Agencies: 0
  • Blocks: 1
  • Routes: 25
  • Shapes: 189
  • Stops: 358
  • Trips: 222

Specification Compliance report

5454 notices reported (861 errors, 4592 warnings, 1 infos)

Notice Code Severity Total
duplicate_key ERROR 12

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

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.
"shapes.txt" 21311 868 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,1"
"shapes.txt" 21312 869 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,2"
"shapes.txt" 21313 870 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,3"
"shapes.txt" 21314 871 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,4"
"shapes.txt" 21315 872 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,5"
"shapes.txt" 21316 873 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,6"
"shapes.txt" 21317 874 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,7"
"shapes.txt" 21318 875 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,8"
"shapes.txt" 21319 876 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,9"
"shapes.txt" 21320 877 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,10"
"shapes.txt" 21321 878 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,11"
"shapes.txt" 21322 879 "shape_id,shape_pt_sequence" "eee36b36654ae6dfa5b059099dbd8965,12"
equal_shape_distance_diff_coordinates ERROR 848

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 848 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"0abec2cda9cc6a7d1821e12a13aee163" 18 0.0 2 17 0.0 1 365.9930179484095
"0abec2cda9cc6a7d1821e12a13aee163" 19 0.0 3 18 0.0 2 767.3906867818399
"0abec2cda9cc6a7d1821e12a13aee163" 20 0.0 4 19 0.0 3 1121.686502862656
"0abec2cda9cc6a7d1821e12a13aee163" 21 0.0 5 20 0.0 4 650.3513629823491
"0abec2cda9cc6a7d1821e12a13aee163" 22 0.0 6 21 0.0 5 452.5188081318919
"0abec2cda9cc6a7d1821e12a13aee163" 23 0.0 7 22 0.0 6 470.28379456877013
"0abec2cda9cc6a7d1821e12a13aee163" 24 0.0 8 23 0.0 7 818.590965004081
"0abec2cda9cc6a7d1821e12a13aee163" 25 0.0 9 24 0.0 8 484.4943885264961
"0abec2cda9cc6a7d1821e12a13aee163" 26 0.0 10 25 0.0 9 686.3365331229617
"0abec2cda9cc6a7d1821e12a13aee163" 27 0.0 11 26 0.0 10 1151.829106342116
"0abec2cda9cc6a7d1821e12a13aee163" 28 0.0 12 27 0.0 11 927.601211728735
"0abec2cda9cc6a7d1821e12a13aee163" 29 0.0 13 28 0.0 12 611.7896199917507
"0abec2cda9cc6a7d1821e12a13aee163" 30 0.0 14 29 0.0 13 654.3342350108203
"0abec2cda9cc6a7d1821e12a13aee163" 31 0.0 15 30 0.0 14 301.20733572570896
"0abec2cda9cc6a7d1821e12a13aee163" 32 0.0 16 31 0.0 15 409.64961411363925
"0abec2cda9cc6a7d1821e12a13aee163" 33 0.0 17 32 0.0 16 975.2126150175036
"0abec2cda9cc6a7d1821e12a13aee163" 34 0.0 18 33 0.0 17 1221.316653999519
"0abec2cda9cc6a7d1821e12a13aee163" 35 0.0 19 34 0.0 18 479.38246080539903
"0abec2cda9cc6a7d1821e12a13aee163" 36 0.0 20 35 0.0 19 1386.2349280696665
"0abec2cda9cc6a7d1821e12a13aee163" 37 0.0 21 36 0.0 20 711.838222722416
"0abec2cda9cc6a7d1821e12a13aee163" 38 0.0 22 37 0.0 21 254.66637923334275
"0abec2cda9cc6a7d1821e12a13aee163" 39 0.0 23 38 0.0 22 324.85496000774594
"0abec2cda9cc6a7d1821e12a13aee163" 40 0.0 24 39 0.0 23 291.23711815789693
"0abec2cda9cc6a7d1821e12a13aee163" 41 0.0 25 40 0.0 24 459.76174632034184
"0abec2cda9cc6a7d1821e12a13aee163" 42 0.0 26 41 0.0 25 408.727063958043
"0abec2cda9cc6a7d1821e12a13aee163" 43 0.0 27 42 0.0 26 1313.4405149601498
"0abec2cda9cc6a7d1821e12a13aee163" 44 0.0 28 43 0.0 27 445.44389835045854
"0abec2cda9cc6a7d1821e12a13aee163" 45 0.0 29 44 0.0 28 1230.4615736036567
"0abec2cda9cc6a7d1821e12a13aee163" 46 0.0 30 45 0.0 29 892.0476914536601
"0abec2cda9cc6a7d1821e12a13aee163" 47 0.0 31 46 0.0 30 531.726352888087
"0abec2cda9cc6a7d1821e12a13aee163" 48 0.0 32 47 0.0 31 334.7499070498156
"0abec2cda9cc6a7d1821e12a13aee163" 49 0.0 33 48 0.0 32 616.200242748619
"0abec2cda9cc6a7d1821e12a13aee163" 50 0.0 34 49 0.0 33 609.9468612064902
"0abec2cda9cc6a7d1821e12a13aee163" 51 0.0 35 50 0.0 34 1050.84392467374
"0abec2cda9cc6a7d1821e12a13aee163" 52 0.0 36 51 0.0 35 1036.0387450096348
"0abec2cda9cc6a7d1821e12a13aee163" 53 0.0 37 52 0.0 36 692.7418517711001
"0abec2cda9cc6a7d1821e12a13aee163" 54 0.0 38 53 0.0 37 495.4192586261126
"0abec2cda9cc6a7d1821e12a13aee163" 55 0.0 39 54 0.0 38 920.2375074056772
"0abec2cda9cc6a7d1821e12a13aee163" 56 0.0 40 55 0.0 39 411.22639499394955
"0abec2cda9cc6a7d1821e12a13aee163" 57 0.0 41 56 0.0 40 389.0514185123667
"0abec2cda9cc6a7d1821e12a13aee163" 58 0.0 42 57 0.0 41 820.8602330220014
"0abec2cda9cc6a7d1821e12a13aee163" 59 0.0 43 58 0.0 42 739.2508480819613
"0abec2cda9cc6a7d1821e12a13aee163" 60 0.0 44 59 0.0 43 338.2121607481199
"0abec2cda9cc6a7d1821e12a13aee163" 61 0.0 45 60 0.0 44 748.9620713815348
"07e34f92072adfcc6d1a4f56257caeaa" 10 0.0 2 9 0.0 1 345.96529568938786
"07e34f92072adfcc6d1a4f56257caeaa" 11 0.0 3 10 0.0 2 448.12854256244145
"07e34f92072adfcc6d1a4f56257caeaa" 12 0.0 4 11 0.0 3 583.9025221941228
"07e34f92072adfcc6d1a4f56257caeaa" 13 0.0 5 12 0.0 4 245.43748682526459
"581b085f4f2e49fb8ed23ba334bcbfe0" 372 0.0 2 371 0.0 1 578.8434280631476
"581b085f4f2e49fb8ed23ba334bcbfe0" 373 0.0 3 372 0.0 2 218.12532296343645
missing_required_field ERROR 1

missing_required_field

A required field is missing.

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

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"agency.txt" 2 "agency_url"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
missing_timepoint_value WARNING 3645

missing_timepoint_value

stop_times.timepoint value is missing for a record.

Even though the column timepoint is optional in stop_times.txt according to the specification, stop_times.timepoint should not be empty when provided.

You can see more about this notice here.

Only the first 50 of 3645 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "5086" 2
3 "5086" 3
4 "5086" 4
5 "5086" 5
6 "5086" 6
7 "5086" 7
8 "5086" 8
9 "5087" 2
10 "5087" 3
11 "5087" 4
12 "5087" 5
13 "5087" 6
14 "5087" 7
15 "5087" 8
16 "6004" 2
17 "6004" 3
18 "6004" 4
19 "6004" 5
20 "6004" 6
21 "6004" 7
22 "6004" 8
23 "6004" 9
24 "6004" 10
25 "6004" 11
26 "6004" 12
27 "6004" 13
28 "6004" 14
29 "6004" 15
30 "6005" 2
31 "6005" 3
32 "6005" 4
33 "6005" 5
34 "6005" 6
35 "6005" 7
36 "6005" 8
37 "6005" 9
38 "6005" 10
39 "6005" 11
40 "6005" 12
41 "6005" 13
42 "6005" 14
43 "6480" 2
44 "6480" 3
45 "6480" 4
46 "6480" 5
47 "6480" 6
48 "6480" 7
49 "6480" 8
50 "6480" 9
51 "6480" 10
mixed_case_recommended_field WARNING 809

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.

Only the first 50 of 809 affected records are displayed below.

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" "BRIANCON- GARE SNCF/GARE ROUTIÈRE" 2
"stops.txt" "stop_name" "BRIANCON- GARE SNCF/GARE ROUTIÈRE" 3
"stops.txt" "stop_name" "BRIANCON- GARE SNCF/GARE ROUTIÈRE" 4
"stops.txt" "stop_name" "MONTGENEVRE- GARE ROUTIERE" 5
"stops.txt" "stop_name" "MONTGENEVRE- GARE ROUTIERE" 6
"stops.txt" "stop_name" "MONTGENEVRE- GARE ROUTIERE" 7
"stops.txt" "stop_name" "BRIANCON- PLACE DE FONTENIL" 8
"stops.txt" "stop_name" "BRIANCON- PLACE DE FONTENIL" 9
"stops.txt" "stop_name" "BRIANCON- PORTE D'EMBRUN" 10
"stops.txt" "stop_name" "BRIANCON- PORTE D'EMBRUN" 11
"stops.txt" "stop_name" "BRIANCON- PORTE D'EMBRUN" 12
"stops.txt" "stop_name" "BRIANCON- FONTCHRISTIANE" 13
"stops.txt" "stop_name" "BRIANCON- FONTCHRISTIANE" 14
"stops.txt" "stop_name" "BRIANCON- LES GUEYTS" 15
"stops.txt" "stop_name" "BRIANCON- LES GUEYTS" 16
"stops.txt" "stop_name" "BRIANCON- HLM DE L' IZOARD" 17
"stops.txt" "stop_name" "BRIANCON- HLM DE L' IZOARD" 18
"stops.txt" "stop_name" "BRIANCON- HLM DE L' IZOARD" 19
"stops.txt" "stop_name" "BRIANCON- LES TOULOUZANNES" 20
"stops.txt" "stop_name" "BRIANCON- LES TOULOUZANNES" 21
"stops.txt" "stop_name" "BRIANCON- HOPITAL" 22
"stops.txt" "stop_name" "BRIANCON- HOPITAL" 23
"stops.txt" "stop_name" "BRIANCON- HOPITAL" 24
"stops.txt" "stop_name" "BRIANCON- BOIS DE L'OURS" 25
"stops.txt" "stop_name" "BRIANCON- BOIS DE L'OURS" 26
"stops.txt" "stop_name" "BRIANCON- BOIS DE L'OURS" 27
"stops.txt" "stop_name" "BRIANCON- CHANTOISEAU" 28
"stops.txt" "stop_name" "BRIANCON- CHANTOISEAU" 29
"stops.txt" "stop_name" "BRIANCON- CHANTOISEAU" 30
"stops.txt" "stop_name" "BRIANCON- ECOLE DE FORVILLE" 31
"stops.txt" "stop_name" "BRIANCON- ECOLE DE FORVILLE" 32
"stops.txt" "stop_name" "BRIANCON- PRAMOREL" 33
"stops.txt" "stop_name" "BRIANCON- PRAMOREL" 34
"stops.txt" "stop_name" "BRIANCON- ECOLE DE ST BLAISE- DEVANT" 35
"stops.txt" "stop_name" "BRIANCON- ECOLE DE ST BLAISE- DEVANT" 36
"stops.txt" "stop_name" "BRIANCON- CHAMANDRIN ARRET SCOLAIRE" 37
"stops.txt" "stop_name" "BRIANCON- CHAMANDRIN ARRET SCOLAIRE" 38
"stops.txt" "stop_name" "LE MONETIER LES BAINS- EGLISE" 39
"stops.txt" "stop_name" "LE MONETIER LES BAINS- EGLISE" 40
"stops.txt" "stop_name" "LE MONETIER LES BAINS- EGLISE" 41
"stops.txt" "stop_name" "BRIANCON- COLLEGE LES GARCINS" 42
"stops.txt" "stop_name" "BRIANCON- COLLEGE LES GARCINS" 43
"stops.txt" "stop_name" "BRIANCON- AV 159 RIA" 44
"stops.txt" "stop_name" "BRIANCON- AV 159 RIA" 45
"stops.txt" "stop_name" "SAINT CHAFFREY- MAIRIE" 46
"stops.txt" "stop_name" "SAINT CHAFFREY- MAIRIE" 47
"stops.txt" "stop_name" "SAINT CHAFFREY- MAIRIE" 48
"stops.txt" "stop_name" "SAINT CHAFFREY- CHANTEMERLE CROCUS" 49
"stops.txt" "stop_name" "SAINT CHAFFREY- CHANTEMERLE CROCUS" 50
"stops.txt" "stop_name" "SAINT CHAFFREY- CHANTEMERLE CROCUS" 51
route_long_name_contains_short_name WARNING 22

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"L03-URBAIN" 4 "L03-URBAIN" "L03-URBAIN"
"LD-URBAIN" 6 "LD-URBAIN" "LD-URBAIN-ESPACE SUD-CHANTOISEAU"
"LIGNE 5" 7 "LIGNE 5" "LIGNE 5 BRIANCON - MONTGENEVRE"
"LIGNE 6" 8 "LIGNE 6" "LIGNE 6 LE MONETIER LES BAINS - BRIANCON"
"M1" 9 "M1" "M1 MARCHE PUY ST PIERRE/PUY ST ANDRE"
"M2" 10 "M2" "M2 MARCHE DU MONÊTIER LES BAINS"
"S10" 11 "S10" "S10 GARE SNCF - PORTE D'EMBRUN"
"S11" 12 "S11" "S11 FONTENIL - ARTAILLAUDS/MI CHAUSSEE"
"S12" 13 "S12" "S12 FONTCHRISTIANE - PT DE CERVIERES/ORONCE FINE"
"S13" 14 "S13" "S13 LES NEIGES - ECOLE DE FORVILLE"
"S14" 15 "S14" "S14 PRAMOREL - PORTE D'EMBRUN"
"S15" 16 "S15" "S15 SAINT BLAISE - PT DE CERVIERES/ORONCE FINE"
"S16" 17 "S16" "S16 PRAMOREL - ECOLE DE FORVILLE"
"S17" 18 "S17" "S17 CERVIÈRES - COLLEGES/LYCEE"
"S18" 19 "S18" "S18 CERVIÈRES - ORONCE FINE/ MI CHAUSSEE"
"S19" 20 "S19" "S19 NEVACHE - BRIANCON CLG GARCINS"
"S20" 21 "S20" "S20 VAL DES PRES - LES ALBERTS"
"S22" 22 "S22" "S22 PIERREFEU - SAINT BLAISE/PT DE CERVIERES"
"S23" 23 "S23" "S23 PUY ST ANDRE/ PUY ST PIERRE - COLLEGES/LYCEE"
"S24" 24 "S24" "S24 PUY ST ANDRE/ PUY ST PIERRE - ECOLE DU PINET"
"S25" 25 "S25" "S25 LA GRAVE/VILLAR D'ARENE - GROUPE SCOLAIRE"
"S26" 26 "S26" "S26 LA GRAVE - BRIANCON CLG LES GARCINS"
stop_too_far_from_shape WARNING 10

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.
190 "a31ecc1be5239a54363a42325f6971ea" "6672" 2882 "63501" "BRIANCON- QUARTIER DU 15/9" [44.89905438988841,6.631488411913428] 175.56974231815755
150 "aaf9bbb3e9a12dcae1ab88f48a74fea2" "2561" 2382 "100" "BRIANCON- GARE SNCF/GARE ROUTIÈRE" [44.89008199999999,6.633629999999999] 103.96929355313726
71 "4da3dec5863c8bf0fa1a40dfb89356ee" "6558" 1145 "51700" "BRIANCON- PROREL" [44.896004,6.632929000000001] 123.66239105263584
71 "4da3dec5863c8bf0fa1a40dfb89356ee" "6558" 1146 "127900" "BRIANCON- LES CROS" [44.89925114305825,6.633635323407508] 207.4625563998018
88 "90eaec9b42622f3f42bf0fec6b8d8638" "6578" 1408 "51700" "BRIANCON- PROREL" [44.89599,6.632822] 115.20800601305707
88 "90eaec9b42622f3f42bf0fec6b8d8638" "6578" 1409 "127900" "BRIANCON- LES CROS" [44.89917949190422,6.633657148830952] 205.02087636376288
19 "341f7c8ea3db66d9f36fb01e3b1c6629" "6493" 277 "9200" "BRIANCON- CHAMP DE MARS" [44.901714000000005,6.642342] 106.29380598026907
200 "8c399953a79a8f4cc92596257197d5fe" "6682" 3259 "3003" "BRIANCON- COLLEGE LES GARCINS" [44.886648,6.63601] 108.1707555378364
144 "c1fedfc1b79381f4a565f8ac8686d203" "2048" 2314 "2103" "BRIANCON- PRAMOREL" [44.916418,6.612379999999999] 129.93641320872757
186 "96f491b5d0eff1d8d855f1de152a70a1" "6667" 2699 "301" "MONTGENEVRE- GARE ROUTIERE" [44.931187,6.724465000000001] 112.0294301647962
stop_without_stop_time WARNING 10

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.
58 "3800" "LE MONETIER LES BAINS- PRE CHABERT"
65 "6800" "LE MONETIER LES BAINS- LAURAU DESCENDANT"
72 "7701" "BRIANCON- LE PROREL"
109 "9000" "LE MONETIER LES BAINS- LES GRANDS BAINS"
112 "9100" "LE MONETIER LES BAINS- PRE BAGNOLS"
124 "9700" "SAINT CHAFFREY- LA GERARDE"
128 "9801" "LE MONETIER LES BAINS- COL DU LAUTARET"
131 "9901" "LA GRAVE LA MEIJE- OFFICE DE TOURISME"
137 "10101" "VILLAR D'ARENE - LES AGNEAUX"
296 "127500" "BRIANCON- TOULOUZANNES"
unused_shape WARNING 95

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 95 affected records are displayed below.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"7ce03879ef7de28b441cf0349c04024e" 940
"ce072d78ecbdacf1c7ba163f4733a4de" 1744
"46aa2a17afc537f3cc5485b0412d7972" 2465
"86330d28794e5781d6192850e8221821" 3047
"ff092ec11bfd99a9337201321495abf7" 3575
"a6ffb61d11803b47b754b58878079ee4" 4033
"025e226a53608d42b998432c39d436e0" 4645
"6ce3e97fe91059490ea07a7c8fed0394" 5301
"e2b6a20ec02d0c6de24adf69d090260d" 5950
"73088f75ef34e427e62764d75868784f" 6530
"32fef268e6221d4fae4bdf5c5308b0d7" 7109
"78251286bef41d0a363fb3c8715fc157" 7787
"c0608d0569ad9d1f54abbdb2bfaecb31" 8664
"b84b1e4b2780d87acdfe5631429c7ec5" 9456
"4bc5be56a9698b2b2ece27382e7bcb41" 9737
"0ec3c1d7604867e7280cba1afd91800a" 9747
"d5280a33719e18b7422560135eed11ff" 9767
"dd454c5345334831fa6ba9af43f0e487" 9771
"aa93b9bdcb040d05aac9ef6b49ebe9a4" 9777
"049ba5135954af99deed8a9093a9d156" 9781
"814235b86368ea658ac1c73c746abed5" 9815
"9c45dfc31dc06ce824cfe4d80536c7d4" 9838
"c97f9ff3a21b2f9a2866db5f516629ad" 9873
"c50934c77ed27a9e72efa79aa0a87ec6" 11336
"638abf8333733b216b12dfd65ad8fe14" 11342
"8d412ea17a8227d62f73a4e1f7a0e4e1" 11390
"c1c338f7050196cae4366856b14fc704" 11445
"d08eacb90c359e2d11c404104fe37aca" 11458
"6e694a52464fc7ac5ba73bce1d8731de" 11533
"c94ac13594a86340918b8f437bd7cd5f" 11551
"34f15352cedbf57b7c058ece75341ccf" 12300
"65cfd1b13458f24c6a85b9c39fc38619" 12403
"b47d4956bd038d27123b24713c30a797" 13280
"a3856b1c447f9ff5b092c79e7734a1f9" 13777
"2b367e9cc3c6712848b3a407d86d39e6" 14476
"2a5db1430adcc69ce109fde54146a658" 14788
"dd11d205e688b6c5d99bd60db53c4585" 15017
"7b06529329b34f53fd8e5624722aecb1" 15755
"1c734369d4c94c25a3ea18ae0879f749" 16079
"f68513e2b2e942115f115c94a1179209" 16210
"2a1ea864aaa2c5061ba250f9b6a95a0d" 16891
"8698d9f02b5e50e0617d208d1c66aae2" 16902
"71ee0c9947dcd52079ce88a376397bd2" 16998
"a13dd6d491fab22fa1ad64f6a93c9dc7" 17510
"eaede732df795d0b2b0014cd0b7bf711" 17945
"79f647cc99e17fe4f90b222c46189b93" 18299
"3c36569230bfe9a0105f7c73ee90358b" 18736
"f3a8f343c06931393fc37f636e136356" 18920
"dbcb633b8755bb7966516eda7b604509" 19437
"8f12ba7d1dc769418711649d46ee8f82" 19447
unknown_file INFO 1

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"trips_extensions.txt"