Extracting Daily Data from a Date Range with Oracle SQL

Oracle SQL with Date Range

Understanding the Problem

The problem at hand involves a table with a date range, and we need to break down these dates into individual days while maintaining the same start and end dates. The goal is to insert each day of the date range into a new row in the table.

Let’s consider an example table test with columns SID, StartDate, EndDate, CID, and Time_Stamp. We want to extract every day between the StartDate and EndDate (inclusive) and insert it as a separate row into the same table.

The Current Approach

The provided SQL code attempts to solve this problem by using a WHILE loop to iterate over each day of the date range. However, there are several issues with this approach:

  • It does not handle cases where the EndDate is less than the StartDate, as it will result in an infinite loop.
  • It can lead to performance issues due to the use of a WHILE loop and the fact that it’s updating the lv_start_date variable within the loop.

A Better Approach: Hierarchical Queries

The recommended solution uses hierarchical queries, which are particularly useful for solving problems involving recursive data structures. In this case, we can use the CONNECT BY clause to generate a sequence of dates between the StartDate and EndDate.

Here’s an example SQL query that achieves the desired result:

SELECT sid,
       startdate + LEVEL - 1 AS startdate,
       enddate,
       cid,
       time_stamp
FROM test
CROSS JOIN TABLE(CAST(MULTiset(SELECT LEVEL FROM DUAL CONNECT BY LEVEL <= ENDDATE - STARTDATE + 1) AS SYS.ODCINUMBERLIST))
ORDER BY sid, startdate;

Let’s break down how this query works:

  • The CONNECT BY clause is used to generate a sequence of numbers starting from 1 and ending at the number of days between the StartDate and EndDate.
  • The CROSS JOIN clause is used to combine each row in the test table with each number in the sequence.
  • The CAST(MULTiset(...)) expression generates a multiset (a data structure that allows duplicate values) containing the numbers in the sequence.
  • The SYS.ODCINUMBERLIST cast converts the multiset into an array of numbers, which is then used as the input to the query.
  • Finally, we use the LEVEL - 1 expression to subtract 1 from each number in the sequence, resulting in a date range that includes every day between the StartDate and EndDate.

Example Use Cases

Here are some example use cases for this query:

  • Extracting daily data: Suppose you have a table with daily sales data, but you want to extract individual days of data. You can use this query to generate a date range between the earliest and latest dates in your data.
  • Generating dates for testing: If you’re writing tests that involve generating dates, this query can be used as a starting point. Simply replace the SELECT clause with an arbitrary expression or calculation.
  • Creating a daily calendar: This query can also be used to generate a daily calendar by setting the STARTDATE and ENDDATE values to arbitrary dates.

Tips and Variations

Here are some additional tips and variations for this query:

  • Handling missing data: If you want to handle missing data, you can use the NVL function (short for “not null”) to replace NULL values with a default value.
SELECT sid,
       NVL(startdate + LEVEL - 1, '1900-01-01') AS startdate,
       enddate,
       cid,
       time_stamp
FROM test
CROSS JOIN TABLE(CAST(MULTiset(SELECT LEVEL FROM DUAL CONNECT BY LEVEL <= ENDDATE - STARTDATE + 1) AS SYS.ODCINUMBERLIST))
ORDER BY sid, startdate;
  • Changing the date format: If you want to change the date format, you can use the TO_CHAR function. For example:
SELECT sid,
       TO_CHAR(startdate + LEVEL - 1, 'YYYY-MM-DD') AS startdate,
       enddate,
       cid,
       time_stamp
FROM test
CROSS JOIN TABLE(CAST(MULTiset(SELECT LEVEL FROM DUAL CONNECT BY LEVEL <= ENDDATE - STARTDATE + 1) AS SYS.ODCINUMBERLIST))
ORDER BY sid, startdate;
  • Using this query in PL/SQL: This query can be used directly in a PL/SQL block by modifying the SELECT clause to suit your needs.

Last modified on 2023-10-11