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
The Role of Intelligent Database Analytics in Optimizing Hybrid Cloud Performance
- 27 July 2026
- Database Performance Management
Introduction Hybrid cloud has become the preferred IT strategy for modern enterprises seeking the flexibility of public cloud services while maintaining control over critical workloads in private cloud and on-premises environments. Organizations across banking, healthcare, retail, manufacturing, telecommunications, and government sectors increasingly rely on hybrid cloud architectures to balance scalability, compliance, cost efficiency, and application … Continue reading “The Role of Intelligent Database Analytics in Optimizing Hybrid Cloud Performance”
How to Optimize Aerospace and Defense Operations with Enteros Database Software, Database Observability, and AI-Powered Analytics
- 26 July 2026
- Database Performance Management
Introduction The aerospace and defense (A&D) industry operates some of the world’s most sophisticated and mission-critical technology environments. Aircraft manufacturers, defense contractors, space organizations, satellite operators, maintenance providers, and government defense agencies manage enormous volumes of engineering, manufacturing, logistics, operational, and security data every day. From aircraft design and production to fleet maintenance, mission planning, … Continue reading “How to Optimize Aerospace and Defense Operations with Enteros Database Software, Database Observability, and AI-Powered Analytics”
How to Optimize Automotive Manufacturing with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence
Introduction The automotive industry is undergoing its most significant transformation in decades. Traditional vehicle manufacturing is rapidly evolving with electric vehicles (EVs), autonomous driving technologies, connected cars, smart factories, robotics, Industrial Internet of Things (IIoT), artificial intelligence (AI), and cloud computing. Automotive manufacturers and suppliers must manage increasingly complex operations while maintaining production efficiency, product … Continue reading “How to Optimize Automotive Manufacturing with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence”
How AI-Powered Database Observability Strengthens Enterprise Cyber Resilience
Introduction Cyberattacks have evolved dramatically over the past decade. Modern enterprises face increasingly sophisticated ransomware attacks, insider threats, supply chain compromises, credential theft, and advanced persistent threats (APTs). As organizations continue adopting cloud-native architectures, hybrid environments, and distributed applications, protecting enterprise databases has become one of the highest cybersecurity priorities. Databases store an organization’s most … Continue reading “How AI-Powered Database Observability Strengthens Enterprise Cyber Resilience”