Preamble
The Oracle/PLSQL TO_DATE function converts a string into a date.
Syntax of the Oracle/PLSQL TO_DATE function
TO_DATE( string1_id, [ format_mask_id ], [ nls_language_id ] )
Parameters and function arguments
- string1_id – is a string that will be converted to date.
- format_mask_id – is optional. This is the format that will be used to convert string1 to date.
It can be one or a combination of the following values:
| Parameter | Explanation |
| YYYY | 4-digit year. |
| YYY YY Y |
The last 3, 2 or 1 digit(s) of the year. |
| IYY IY I |
The last 3, 2 or 1 digit(s) of the ISO year. |
| IYYY | 4-digit year according to ISO standard. |
| RRRR |
Takes the year with 2 digits and returns the year with 4 digits.
The value between 0-49 will return 20xx year. Value between 50-99 will return 19xx year. |
| Q | Quarter of the year (1, 2, 3, 4; JAN-MAR = 1). |
| MM | Month (01-12; JAN = 01). |
| MON | Abbreviated name of the month. |
| MONTH |
The name of the month, supplemented by spaces up to 9 characters long.
|
| RM | Roman numeral RM (I-XII; JAN = I). |
| WW |
Week of the year (1-53), where week 1 begins on the first day of the year and continues until the seventh day of the year.
|
| W |
Week of the month (1-5), where the first week begins on the first day of the month and ends on the seventh.
|
| IW |
Week of the year (1-52 or 1-53) based on ISO standard.
|
| D | Day of the week (1-7). |
| DAY | The name of the day. |
| DD | Day of the month (1-31). |
| DDD | Day of the Year (1-366). |
| DY | Abbreviated name of the day. |
| J |
Julian day; number of days from 1 January 4712 BC.
|
| HH | One o’clock (1-12). |
| HH12 | One o’clock (1-12). |
| HH24 | One o’clock (0-23). |
| MI | One minute (0-59). |
| SS | Секунда (0-59). |
| SSSSS | Seconds after midnight (0-86399). |
| FF |
Fractional seconds. Use a value between 1 and 9 after FF to specify the number of digits in fractions of a second. For example, ‘FF4’.
|
| AM, A.M., PM, or P.M. | Meridian indicator. |
| AD or A.D | AD indicator. |
| BC or B.C. | BC indicator. |
| TZD | Summertime information. For example, ‘PST’ |
| TZH | The time zone is one hour. |
| TZM | The time zone is the minute. |
| TZR | The time zone of the region. |
- nls_language_id – is optional. NLS language is used to convert string1 to date.
The TO_DATE function can be used in the following versions of Oracle/PLSQL
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i, Oracle 8i
Let’s consider some examples of the TO_DATE function to understand how to use the TO_DATE function in Oracle.
SELECT TO_DATE('2019/07/22', 'yyyyy/mm/dd') FROM DUAL;
--Result: 22.07.2019
SELECT TO_DATE('072219', 'MMDDYYY') FROM DUAL;
--Result: 22.07.2019
SELECT TO_DATE('20190722', 'yyyyymmdd') FROM DUAL;
--Result: 22.07.2019
SELECT TO_DATE('30.01.2019 18:30:52', 'DD.MM.YYYYY HH24:MI:SS') FROM DUAL;
--Result: 30.01.2019 18:30:52
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
What to Consider for Growth Management with Enteros Software Performance and AIOps Platform in Tech
- 25 March 2026
- Database Performance Management
Introduction The technology sector is at the forefront of global innovation, powering everything from cloud computing and SaaS platforms to artificial intelligence and real-time digital services. As technology companies scale rapidly, they face increasing pressure to deliver high-performance applications, maintain reliability, and optimize operational costs—all while driving continuous growth. At the core of this challenge … Continue reading “What to Consider for Growth Management with Enteros Software Performance and AIOps Platform in Tech”
How Enteros Database Performance Management Transforms Manufacturing RevOps and Operational Efficiency
Introduction The manufacturing sector is undergoing a rapid digital evolution driven by smart factories, Industrial IoT (IIoT), predictive maintenance, and real-time supply chain optimization. Modern manufacturers rely heavily on data to streamline operations, improve product quality, and respond quickly to market demands. At the core of this transformation lies a complex IT ecosystem powered by … Continue reading “How Enteros Database Performance Management Transforms Manufacturing RevOps and Operational Efficiency”
AI-Driven BFSI Infrastructure: Enteros Platform for AI SQL, Root Cause Analysis, and Cloud FinOps Efficiency
- 24 March 2026
- Database Performance Management
Introduction The Banking, Financial Services, and Insurance (BFSI) sector is undergoing a profound digital transformation. From real-time payments and algorithmic trading to digital banking apps and fraud detection systems, financial institutions are rapidly adopting advanced technologies to remain competitive. At the heart of this transformation lies a highly complex IT ecosystem powered by databases, cloud … Continue reading “AI-Driven BFSI Infrastructure: Enteros Platform for AI SQL, Root Cause Analysis, and Cloud FinOps Efficiency”
Cloud FinOps for AI Platforms: How Enteros Database Management and GenAI Drive Growth Efficiency
Introduction Artificial Intelligence (AI) platforms are rapidly transforming industries—from healthcare diagnostics and financial modeling to autonomous systems and personalized customer experiences. At the core of these innovations lies an immense volume of data processed through complex pipelines powered by databases, machine learning models, and cloud infrastructure. As AI platforms scale, they face a critical challenge:How … Continue reading “Cloud FinOps for AI Platforms: How Enteros Database Management and GenAI Drive Growth Efficiency”