Use multi-values inserts rather than separate inserts for data loads.

developmentseed · Dec 12, 2023 · 9c11344 · 9c11344
1 parent 2ac83ae
commit 9c11344
Show file tree

Hide file tree

Showing 6 changed files with 12 additions and 60,873 deletions.
diff --git a/data/landsat_wrs.sql b/data/landsat_wrs.sql
diff --git a/data/sentinel_mgrs.sql b/data/sentinel_mgrs.sql
diff --git a/tests/fixtures/landsat_wrs.sql b/tests/fixtures/landsat_wrs.sql
diff --git a/tests/fixtures/minnesota.sql b/tests/fixtures/minnesota.sql
diff --git a/tests/fixtures/my_data.sql b/tests/fixtures/my_data.sql
@@ -9,12 +9,7 @@ ALTER TABLE "public"."my_data" ADD COLUMN "id" VARCHAR;
 ALTER TABLE "public"."my_data" ADD COLUMN "datetime" TIMESTAMP;
 ALTER TABLE "public"."my_data" ADD COLUMN "decimal" DECIMAL;
 ALTER TABLE "public"."my_data" ADD COLUMN "numeric" NUMERIC;
-INSERT INTO "public"."my_data" ("geom" , "id", "datetime", "decimal", "numeric") VALUES ('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', '0', '2004-10-19 10:23:54', 1.25, 1.25);
-INSERT INTO "public"."my_data" ("geom" , "id", "datetime", "decimal", "numeric") VALUES ('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', '1', '2004-10-20 10:23:54', 0.8, 0.8);
-INSERT INTO "public"."my_data" ("geom" , "id", "datetime", "decimal", "numeric") VALUES ('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', '2', '2004-10-21 10:23:54', -5.68, -5.68);
-INSERT INTO "public"."my_data" ("geom" , "id", "datetime", "decimal", "numeric") VALUES ('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', '3', '2004-10-22 10:23:54', 98, 98);
-INSERT INTO "public"."my_data" ("geom" , "id", "datetime", "decimal", "numeric") VALUES ('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', '4', '2004-10-23 10:23:54', 7.55526, 7.55526);
-INSERT INTO "public"."my_data" ("geom" , "id", "datetime", "decimal", "numeric") VALUES ('0103000020E6100000010000000D000000BBE9944235C347C0EBF06E7961EE52406ADE718A8EC447C0D122DBF97EEE5240942D6301ECB947C05B59871F60F0524086CAEEF61AAE47C0BDEF3BBB76F252400A4C8422590E46C0B656FB86F03B5340FA28B2217F0346C0CE0A257ADB3D534057EC2FBB27F745C02B1895D409405340BEE6287052F545C01AA33BF2DF3F53401D386744692743C07958A835CDFF52403EDF52396E3443C0DC9EAF2DC7FD5240B9E39237FD0645C0574B4E2543B552400AD7A3703D1245C03A234A7B83B35240BBE9944235C347C0EBF06E7961EE5240', '5', '2004-10-24 10:23:54', -78.56, null);
+INSERT INTO "public"."my_data" ("geom" , "id", "datetime", "decimal", "numeric") VALUES ('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', '0', '2004-10-19 10:23:54', 1.25, 1.25), ('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', '1', '2004-10-20 10:23:54', 0.8, 0.8), ('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', '2', '2004-10-21 10:23:54', -5.68, -5.68), ('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', '3', '2004-10-22 10:23:54', 98, 98), ('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', '4', '2004-10-23 10:23:54', 7.55526, 7.55526), ('0103000020E6100000010000000D000000BBE9944235C347C0EBF06E7961EE52406ADE718A8EC447C0D122DBF97EEE5240942D6301ECB947C05B59871F60F0524086CAEEF61AAE47C0BDEF3BBB76F252400A4C8422590E46C0B656FB86F03B5340FA28B2217F0346C0CE0A257ADB3D534057EC2FBB27F745C02B1895D409405340BEE6287052F545C01AA33BF2DF3F53401D386744692743C07958A835CDFF52403EDF52396E3443C0DC9EAF2DC7FD5240B9E39237FD0645C0574B4E2543B552400AD7A3703D1245C03A234A7B83B35240BBE9944235C347C0EBF06E7961EE5240', '5', '2004-10-24 10:23:54', -78.56, null);
 ALTER TABLE public.my_data ADD COLUMN otherdt timestamptz;
 ALTER TABLE public.my_data ADD COLUMN datedt date;
 ALTER TABLE public.my_data ADD COLUMN othergeom geometry;

diff --git a/tests/fixtures/nongeo_data.sql b/tests/fixtures/nongeo_data.sql
@@ -5,10 +5,11 @@ BEGIN;
 CREATE TABLE "public"."nongeo_data" ( "ogc_fid" SERIAL, CONSTRAINT "nongeo_data_pk" PRIMARY KEY ("ogc_fid") );
 ALTER TABLE "public"."nongeo_data" ADD COLUMN "id" VARCHAR;
 ALTER TABLE "public"."nongeo_data" ADD COLUMN "datetime" TIMESTAMP WITH TIME ZONE;
-INSERT INTO "public"."nongeo_data" ("id", "datetime") VALUES ('0', '2004-10-19 10:23:54+01:00');
-INSERT INTO "public"."nongeo_data" ("id", "datetime") VALUES ('1', '2004-10-20 10:23:54+01:00');
-INSERT INTO "public"."nongeo_data" ("id", "datetime") VALUES ('2', '2004-10-21 10:23:54+01:00');
-INSERT INTO "public"."nongeo_data" ("id", "datetime") VALUES ('3', '2004-10-22 10:23:54+01:00');
-INSERT INTO "public"."nongeo_data" ("id", "datetime") VALUES ('4', '2004-10-23 10:23:54+01:00');
-INSERT INTO "public"."nongeo_data" ("id", "datetime") VALUES ('5', '2004-10-24 10:23:54+01:00');
+INSERT INTO "public"."nongeo_data" ("id", "datetime") VALUES
+('0', '2004-10-19 10:23:54+01:00'),
+('1', '2004-10-20 10:23:54+01:00'),
+('2', '2004-10-21 10:23:54+01:00'),
+('3', '2004-10-22 10:23:54+01:00'),
+('4', '2004-10-23 10:23:54+01:00'),
+('5', '2004-10-24 10:23:54+01:00');
 COMMIT;