![]() Here is what I get: sqlite> SELECT price, original_price, price / coalesce(original_price, price) FROM product_product I want to select the price, original price and price / original_price (both columns of decimal type). schema product_productĬREATE TABLE IF NOT EXISTS "product_product" ("id" integer NOT NULL PRIMARY KEY AUTOINCREMENT, "created_at" datetime NOT NULL, "updated_at" datetime NOT NULL, "name" varchar(255) NOT NULL, "price" decimal NOT NULL, "quantity" decimal NOT NULL, "depth" decimal NULL, "height" decimal NULL, "weight" decimal NULL, "width" decimal NULL, "freight_help" decimal NOT NULL, "ref" char(32) NOT NULL UNIQUE, "erp_id" varchar(255) NULL UNIQUE, "erp_synced_at" datetime NULL, "unit" varchar(2) NOT NULL, "is_active" bool NOT NULL, "kind" varchar(9) NOT NULL, "original_price" decimal NULL, "coffee_kind" varchar(7) NULL, "producer_id" integer NULL REFERENCES "product_producer" ("id") DEFERRABLE INITIALLY DEFERRED, "region_id" integer NULL REFERENCES "product_region" ("id") DEFERRABLE INITIALLY DEFERRED, "variety_id" integer NULL REFERENCES "product_variety" ("id") DEFERRABLE INITIALLY DEFERRED, "altitude" integer NULL, "characteristics" varchar(255) NULL, "score" integer NULL, "olfactory" varchar(255) NULL, "taste" varchar(255) NULL, "visual" varchar(255) NULL, "is_fresh" bool NOT NULL, "is_featured" bool NOT NULL, "description" text NOT NULL, "sca_report" varchar(2000) NULL, "stock" integer NULL, "slug" varchar(50) NOT NULL) ĬREATE INDEX "product_product_is_active_79c22e04" ON "product_product" ("is_active") ĬREATE INDEX "product_product_producer_id_48defcb2" ON "product_product" ("producer_id") ĬREATE INDEX "product_product_region_id_8af442d6" ON "product_product" ("region_id") ĬREATE INDEX "product_product_variety_id_899ca5d0" ON "product_product" ("variety_id") ĬREATE INDEX "product_product_is_fresh_8e90cb7e" ON "product_product" ("is_fresh") ĬREATE INDEX "product_product_is_featured_27b90897" ON "product_product" ("is_featured") ĬREATE INDEX "product_product_slug_76cde0ae" ON "product_product" ("slug") Here is the schema for my table: sqlite>. Postgres=# select (extract('epoch' from now()) - extract('epoch' from timestamp ''))/3600.0/24.I just had this issue where a division by 2 decimals is rounding some numbers if they don't have a floating point in the actual value. postgres=# select extract('epoch' from now()) - extract('epoch' from timestamp '') Correct: After the time is converted to epoch time, the two epoch values subtract again. Such an algorithm causes the result to be inconsistent with the expectation.Ģ. The integer is multiplied by this level and converted into the constant coefficient of the lower level.ĭoes the epoch of 0.584 years equal 210 days? postgres=# select 0.584*12 Īfter erasing the decimals, you get six months or seven months. If it is not an integer, it needs to be converted into a lower-level integer. ![]() Mins * ((int64) SECS_PER_MINUTE * USECS_PER_SEC) +Įach unit is an integer. ![]() Result->time = hours * ((int64) SECS_PER_HOUR * USECS_PER_SEC) + Result->month = years * MONTHS_PER_YEAR + months Result = (Interval *) palloc(sizeof(Interval)) (errcode(ERRCODE_DATETIME_VALUE_OUT_OF_RANGE), * inputs as well, but it's not entirely clear what limits to apply. ![]() * make_interval - numeric Interval constructor Postgres=# select extract('epoch' from interval '0.584 year')/3600/24.0 ĭoes the epoch of one year equal 365.25 days?ĭoes the epoch of 0.5 years equal 180 days?ĭoes the epoch of 0.583 years equal 180 days?ĭoes the epoch of 0.584 years equal 210 days? Postgres=# select extract('epoch' from interval '0.5 year')/3600/24.0 Postgres=# select extract('epoch' from interval '1 year')/3600/24.0 When interval type is converted to epoch, the algorithm may not match the expected one: postgres=# select extract('epoch' from interval '0.01 year')/3600/24.0 Error: Time subtraction and conversion to the epoch (seconds) This function computes the interval between two timestamps and converts the result to a value in seconds or days.ġ.
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