---
title: "CONTAINS_SUBSTR in BigQuery — Syntax & Examples"
canonical: "https://www.owox.com/glossary/contains-substr-function"
updated: "2025-11-06"
---

# What is the CONTAINS\_SUBSTR function in BigQuery?

The CONTAINS\_SUBSTR Function in BigQuery checks whether a specific substring exists within a given string. It returns a Boolean value, TRUE if the substring is found, and FALSE otherwise.

**3 min** read · Updated November 6, 2025 · [Data Modeling](/blog/topics/data-modeling)

The CONTAINS\_SUBSTR Function is particularly useful for filtering and analyzing text data, enabling quick pattern detection and keyword identification across datasets. It helps analysts streamline queries when searching for partial matches within strings.

## **Benefits of the CONTAINS\_SUBSTR function**

The CONTAINS\_SUBSTR Function offers a straightforward way to identify text patterns without complex regular expressions. It helps analysts clean, search, and analyze text data efficiently. Below are the key benefits:

*   **Simplicity:** Quickly check if a keyword or phrase exists in text fields.
*   **Efficiency:** Reduces the need for longer, more complex string manipulation functions.
*   **Flexibility:** Works across multiple columns and can be combined with conditions like WHERE and CASE.
*   **Usefulness in Reporting:** Supports keyword-based filtering in large datasets.

Using CONTAINS\_SUBSTR improves data filtering accuracy while keeping SQL logic clear and concise.

## **How the CONTAINS\_SUBSTR function works**

The CONTAINS\_SUBSTR Function takes two arguments, a text string and a substring to search for, and checks whether the second exists within the first.
**Syntax:**

> `CONTAINS_SUBSTR(text_expression, substring)`

*   **text\_expression:** The text field or string to be searched.
*   **substring:** The specific sequence of characters you want to find.

For example:

> `SELECT CONTAINS_SUBSTR('OWOX Data Marts', 'Data') AS result;`

This returns TRUE since the substring “Data” exists in the text string.

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## **Use cases for the CONTAINS\_SUBSTR function in BigQuery**

The CONTAINS\_SUBSTR Function can be applied across multiple data analysis and marketing scenarios. It simplifies text searches, allowing users to quickly identify patterns or keywords. Examples include:

*   **Keyword Filtering:** Identify entries containing brand or campaign keywords.
*   **Customer Segmentation:** Detect specific terms within customer feedback or reviews.
*   **Data Quality Checks:** Locate strings with incorrect labels or formatting inconsistencies.
*   **Ad Campaign Analysis:** Filter campaign names or URLs based on specific substrings.
*   **Product Categorization:** Match partial product names to categories dynamically.

These use cases show how the function helps analysts gain insight from textual data efficiently.

## **Challenges of using the CONTAINS\_SUBSTR function**

Despite its simplicity, the CONTAINS\_SUBSTR Function has some limitations.

*   **Case Sensitivity:** It is case-sensitive, which can lead to missed matches unless data is standardized.
*   **Limited Pattern Matching:** Doesn’t support wildcards or complex search conditions like regex.
*   **Performance Concerns:** When used excessively on large datasets, it can impact query performance.
*   **Exact Match Dependency:** Requires careful selection of substring values to avoid false negatives.

Understanding these challenges helps ensure accurate results when using CONTAINS\_SUBSTR in production queries.

## **Best practices for using the CONTAINS\_SUBSTR function**

To use CONTAINS\_SUBSTR effectively, follow these key recommendations. These practices improve consistency, speed, and readability in text filtering tasks:

*   **Normalize Text:** Use functions like LOWER() or UPPER() to make searches case-insensitive.
*   **Combine with Conditions:** Pair with AND, OR, or CASE for flexible logic.
*   **Optimize for Large Datasets:** Apply indexing or filtering before substring searches.
*   **Use for Quick Checks:** Ideal for lightweight keyword searches rather than deep text mining.
*   **Document Usage:** Clearly describe substring search logic for transparency in shared queries.

These best practices ensure your searches remain efficient, accurate, and easy to maintain.

## **Ensure reliable text checks with OWOX Data Marts**

[OWOX Data Marts](https://www.owox.com/app-signup) Cloud helps analysts automate and manage SQL transformations involving functions like CONTAINS\_SUBSTR. It allows you to standardize text searches, clean datasets, and maintain governed logic across reusable SQL marts. With automatic refreshes, seamless integration with Sheets and BI tools, and centralized metric governance, OWOX ensures that your substring searches and data filters remain consistent, accurate, and scalable.

## Topics

[Glossary](/glossary)

[Data Modeling](/blog/topics/data-modeling)

## Related terms

[System Stored Procedures in SQL](/glossary/system-stored-procedure)

[Data Mesh](/glossary/data-mesh)

[Machine Learning Algorithms](/glossary/machine-learning-algorithms)

[What is a Relational Database? Definition & Guide](/glossary/relational-database)

[Abstraction in Data Modeling](/glossary/abstraction-in-data-modeling)

[ACID Compliance](/glossary/acid-compliance)

## Related articles

## Learn more about analytics

[bigquery · BigQuery string functions: syntax and tested examples · Oct 6, 2026](/blog/articles/string-functions-bigquery)

[bigquery · BigQuery SQL: syntax, clause order and tested examples · Oct 16, 2026](/blog/articles/bigquery-sql-guide)

[bigquery · BigQuery console guide: BigQuery Studio, the query editor and job history · Oct 16, 2026](/blog/articles/bigquery-user-interface)

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## Links

Pages this page links to, on this site and on docs.owox.com. Where the page has a Markdown twin, its address follows the link.

- [Data Modeling](https://www.owox.com/blog/topics/data-modeling) — /blog/topics/data-modeling.md
- [Book a Demo](https://www.owox.com/book-a-call) — /book-a-call.md
- [OWOX Data Marts](https://www.owox.com/app-signup)
- [Glossary](https://www.owox.com/glossary) — /glossary.md
- [System Stored Procedures in SQL](https://www.owox.com/glossary/system-stored-procedure) — /glossary/system-stored-procedure.md
- [Data Mesh](https://www.owox.com/glossary/data-mesh) — /glossary/data-mesh.md
- [Machine Learning Algorithms](https://www.owox.com/glossary/machine-learning-algorithms) — /glossary/machine-learning-algorithms.md
- [What is a Relational Database? Definition & Guide](https://www.owox.com/glossary/relational-database) — /glossary/relational-database.md
- [Abstraction in Data Modeling](https://www.owox.com/glossary/abstraction-in-data-modeling) — /glossary/abstraction-in-data-modeling.md
- [ACID Compliance](https://www.owox.com/glossary/acid-compliance) — /glossary/acid-compliance.md
- [bigquery · BigQuery string functions: syntax and tested examples · Oct 6, 2026](https://www.owox.com/blog/articles/string-functions-bigquery) — /blog/articles/string-functions-bigquery.md
- [bigquery · BigQuery SQL: syntax, clause order and tested examples · Oct 16, 2026](https://www.owox.com/blog/articles/bigquery-sql-guide) — /blog/articles/bigquery-sql-guide.md
- [bigquery · BigQuery console guide: BigQuery Studio, the query editor and job history · Oct 16, 2026](https://www.owox.com/blog/articles/bigquery-user-interface) — /blog/articles/bigquery-user-interface.md
- [All case studies →](https://www.owox.com/blog/success-stories) — /blog/success-stories.md
- [Pürblack · "For 10 years I was blind." The day Pürblack® founder stopped guessing · Seconds · to get…](https://www.owox.com/blog/success-stories/purblack) — /blog/success-stories/purblack.md
- [Reformation · How OWOX Reports Helped Reformation Make Data-Backed Decisions · Minutes · from data…](https://www.owox.com/blog/success-stories/reformation) — /blog/success-stories/reformation.md
- [WorkSimpli · How OWOX Reports Streamlined Operations for WorkSimpli, Saving Over 10 Hours Weekly ·…](https://www.owox.com/blog/success-stories/worksimpli) — /blog/success-stories/worksimpli.md