---json { "aliases": [ { "path": ":howto:generator:d_date" } ], "description": "A date dimension is a typical case for data generation and this article shows you how to generate it.\n", "low_quality_page": "false", "name": "Create a Date Dimension", "page_id": "sbo5vdkk4k03u1lu74dzn" } --- ====== Data Generator - How to generate a date dimension ? ====== ===== Date Dimension ===== A ''date dimension'' is a typical case for data generation. ''Tabulify'' provides one ''date dimension'' that you can use out of the box and modify to your needs. ===== Steps ===== ==== Date dimension explained ==== The ''date_dim--generator.yml'' is a [[docs:resource:generator|generator]] where:: * the ''d_date_sk'', a [[kb>surrogate_key|surrogate key]] has a [[docs:generator:sequence|sequence generator]] that generates a ''integer'' in [[docs:generator:sequence|sequence]] * the ''d_date'', a [[kb>business_key|business key]] has a [[docs:generator:expression|expression generator]] that generates a ''date'' in [[docs:generator:sequence|sequence]] * the ''d_date_id'', the [[kb>business_key|business key]] that uses the ''d_date'' column and generates the date in string format * the ''d_month_seq'' is also a [[docs:generator:expression|expression generator]] that uses the ''d_date'' column and generates an ascendant sequence for the month. This column demonstrates how you can use a javascript function. * the ''d_day_name'' is also a [[docs:generator:expression|expression generator]] that demonstrates how to do a lookup of an array. * the last columns have been added as snippet and does not demonstrate any technic. kind: generator spec: Comment: An example of date dimension generator based on the `date_dim` table of TPCDS primary-columns: [ "d_date_sk" ] Columns: - name: d_date_sk comment: A surrogate key Type: integer data-supplier: type: sequence - name: d_date comment: A business key in date format Type: date data-supplier: type: sequence arguments: start: 2025-05-13 - name: d_date_id comment: A business key in string Type: varchar data-supplier: type: expression arguments: column-variable: d_date expression: "d_date.toISOString().substring(0,10)" - name: d_month_seq comment: An ascendant sequence for the month Type: integer data-supplier: type: expression arguments: column-variable: d_date expression: "function pad(number) {if (number < 10) { return '0' + number; } return number; }; d_date.getFullYear()+''+(pad(d_date.getMonth()+1))" - name: d_day_name comment: The name of the day Type: varchar data-supplier: type: expression arguments: column-variable: d_date expression: "var days = ['Sunday','Monday','Tuesday','Wednesday','Thursday','Friday','Saturday']; days[d_date.getDay()]" - name: d_moy comment: the month number in year Type: Integer data-supplier: type: expression arguments: column-variable: d_date expression: "d_date.getMonth()+1" - name: d_year comment: The year number Type: Integer data-supplier: type: expression arguments: column-variable: d_date expression: "d_date.getFullYear()" ==== Output ==== With the [[docs:tabul:data:head|data head command]] and the [[docs:connection:howto|howto directory]] connection, you can test your [[docs:resource:generator|generator]] and see the data. tabul data head date_dim--generator.yml@howto The first 10 rows of the data resource (date_dim@memgen): d_date_sk d_date d_date_id d_month_seq d_day_name d_moy d_year --------- ---------- ---------- ----------- ---------- ----- ------ 1 2025-05-12 2025-05-12 202505 Monday 5 2025 2 2025-05-11 2025-05-11 202505 Sunday 5 2025 3 2025-05-10 2025-05-10 202505 Saturday 5 2025 4 2025-05-09 2025-05-09 202505 Friday 5 2025 5 2025-05-08 2025-05-08 202505 Thursday 5 2025 6 2025-05-07 2025-05-07 202505 Wednesday 5 2025 7 2025-05-06 2025-05-06 202505 Tuesday 5 2025 8 2025-05-05 2025-05-05 202505 Monday 5 2025 9 2025-05-04 2025-05-04 202505 Sunday 5 2025 10 2025-05-03 2025-05-03 202505 Saturday 5 2025 ==== Next ==== If you want to know how to create a CSV from it, check the below page [[..:csv:generate]]