fixed database scripts

IvanoscaLV · Jul 14, 2021 · 3a1cc0b · 3a1cc0b
1 parent 5ab456e
commit 3a1cc0b
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diff --git a/database/update_countries_2021/update_blocks.sql b/database/update_countries_2021/update_blocks.sql
@@ -13,7 +13,7 @@
 --  'Niger',
 --  'Moldova',
 --  'Chad',
---  'Congo DR')
+--  'Congo R')
 -- AND gn.id_name_family=2;
 -- --
 -- -- Get blocks:
@@ -162,19 +162,19 @@ BEGIN;
       )
     );
 
-  -- INSERT INTO
-  --   maplex.block (id_geoentity_block,id_geoentity_child)
-  --   VALUES (
-  --     (
-  --       select gn.id_geoentity as id_geoentity_xbap from maplex.geoentity_name gn
-  --       INNER JOIN maplex.name n ON gn.id_name=n.id_name
-  --       where n.name='Sub-Saharan Africa' and gn.id_name_family=2
-  --     ),
-  --     (
-  --       select gn.id_geoentity as id_geoentity_xbap from maplex.geoentity_name gn
-  --       INNER JOIN maplex.name n ON gn.id_name=n.id_name
-  --       where n.name = 'Congo DR' and gn.id_name_family=2
-  --     )
-  --   );
+  INSERT INTO
+    maplex.block (id_geoentity_block,id_geoentity_child)
+    VALUES (
+      (
+        select gn.id_geoentity as id_geoentity_xbap from maplex.geoentity_name gn
+        INNER JOIN maplex.name n ON gn.id_name=n.id_name
+        where n.name='Sub-Saharan Africa' and gn.id_name_family=2
+      ),
+      (
+        select gn.id_geoentity as id_geoentity_xbap from maplex.geoentity_name gn
+        INNER JOIN maplex.name n ON gn.id_name=n.id_name
+        where n.name = 'Congo' and gn.id_name_family=2
+      )
+    );
 
 COMMIT;
diff --git a/doc/blueprints_adddata.md b/doc/blueprints_adddata.md
@@ -7,6 +7,14 @@ Instructions to follow to add a new year
 ## Countries at iepg_data_redux.master_country.
 Check that all the countries who come from the input of the data engine (XLSX) are at the table iepg_data_redux.master_country. The mapping field between the xlsx and this table is xlsx_column_name. If an error happens, flux throws an exception.
 
+You could check country names in this way:
+
+```
+select xlsx_column_name, iso_3166_1_2_code
+from iepg_data_redux.master_country
+where xlsx_column_name ilike '%congo%';
+```      
+
 You can get new countries (or differences in names) in new year with Pandas. Example:
 
 ```Python