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7,489 Characters
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This translation is being used as source strings within this component.

Strings status

Strings Words Characters
76 1,258 7,489
All strings Browse Translate Zen
76 1,258 7,489
Read-only strings Browse Translate Zen
1 60 389
Strings with any failing checks Browse Translate Zen
1 60 389
Failing check: Multiple failing checks Browse Translate Zen

Summary

Project website workshop.pgrouting.org
Instructions for translators

pgRouting workshop use sphinx markup.
Project maintainers2 User avatar cvvergaraUser avatar yeager
Translation license Creative Commons Attribution 4.0 International
Translation process
  • Translations can be made directly.
  • Translation suggestions can be made.
  • Any authenticated user can contribute.
  • The translation uses bilingual files.
Source code repository https://github.com/pgRouting/workshop
Repository branch develop
Last remote commit Merge pull request #279 from pgRouting/dependabot/github_actions/actions/checkout-7 6b6f81d3
User avatar cvvergara authored 07/06/2026
Last commit in Weblate Translated using Weblate (Spanish) 886c94d9
User avatar cvvergara authored 07/07/2026
Weblate repository https://weblate.osgeo.org/git/pgrouting-workshop/index/
File mask locale/*/LC_MESSAGES/un_sdg/sdg11-cities.po
Translation file Download locale/pot/un_sdg/sdg11-cities.pot
Last change July 7, 2026, 4:56 p.m.
Last change made by None
Language English
Language code en
Text direction Left to right
Case sensitivity Case-sensitive
Number of speakers 1,728,473,503
Number of plurals 2
Plural type One/other
Plurals Singular 1
Plural 0, 2, 3, 4, 5, 6, 7, 8, 9, 10, …
Plural formula n != 1
07/07/2026

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 76 1,258 7,489
Translated 100% 76 100% 1,258 100% 7,489
Needs editing 0% 0 0% 0 0% 0
Read-only 100% 76 100% 1,258 100% 7,489
Failing checks 1% 1 4% 60 5% 389
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 0% 0 0% 0 0% 0
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76
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1
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User avatar None

Source string added
The pgRouting function ``pgr_connectedComponents`` is used to complete this task and its explaind with more detail in :doc:`../basic/graph_views`.
07/07/2026
User avatar None

Source string added
Add columns named ``rain_zone`` in waterways_ways
07/07/2026
User avatar None

Source string added
A sub-query is created to find out all the connected components. After that, the ``component`` column is updated using the results obtained from the sub-query. This helps in storing the component id in the ``waterways_ways_vertices_pgr`` table. Next query uses this output and stores the component id in the waterways_ways (edges) table. Follow the steps given below to complete this task.
07/07/2026
User avatar None

Source string added
As the rivers in the data are not having single edge, i.e, multiple edges make up a river, it is important to find out the connected edges and store the information in the ``waterways_ways`` table. This will help us to identify which edges belong to a river. First, the connected components are found and then stored in a new column named ``component``.
07/07/2026
User avatar None

Source string added
This exercise focusses only the areas in the mainland, where if it rains the city is affected. Hence, the rivers which are there in the swamp area wich is in a lower altitude of the city, are to be removed from the ``waterways_ways`` table.
07/07/2026
User avatar None

Resource updated
The “locale/pot/un_sdg/sdg11-cities.pot” file was changed. 07/07/2026
User avatar None

String added in the repository
Add columns named ``rain_zone`` in waterways.ways
Add columns named ``rain_zone`` in waterways.ways
07/07/2026
User avatar None

String added in the repository
A sub-query is created to find out all the connected components. After that, the ``component`` column is updated using the results obtained from the sub-query. This helps in storing the component id in the ``waterways.waterway_vertices`` table. Next query uses this output and stores the component id in the waterways.ways (edges) table. Follow the steps given below to complete this task.
A sub-query is created to find out all the connected components. After that, the ``component`` column is updated using the results obtained from the sub-query. This helps in storing the component id in the ``waterways.waterway_vertices`` table. Next query uses this output and stores the component id in the waterways.ways (edges) table. Follow the steps given below to complete this task.
07/07/2026
User avatar None

String added in the repository
As the rivers in the data are not having single edges, i.e, multiple edges make up a river, it is important to find out the connected edges and store the information in the ``waterways.ways`` table. This will help us to identify which edges belong to a river. First, the connected components are found and then stored in a new column named ``component``.
As the rivers in the data are not having single edges, i.e, multiple edges make up a river, it is important to find out the connected edges and store the information in the ``waterways.ways`` table. This will help us to identify which edges belong to a river. First, the connected components are found and then stored in a new column named ``component``.
07/07/2026
User avatar None

String added in the repository
This exercise focusses only the areas in the mainland, where if it rains the city is affected. Hence, the rivers which are there in the swamp area wich is in a lower altitude of the city, are to be removed from the ``waterways.ways`` table.
This exercise focusses only the areas in the mainland, where if it rains the city is affected. Hence, the rivers which are there in the swamp area wich is in a lower altitude of the city, are to be removed from the ``waterways.ways`` table.
07/07/2026
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