MySQL Workbench is default IDE for MySQL. It can be installed on Windows, Linux or Mac OSX. Here is the one question which new users of MySQL Workbench often ask –
“When I execute my SQL Query from my application, it retrieves correct numbers of the row, but when I execute the same query in MySQL Workbench it retrieves only 1000 records. What is the reason behind it?”
This is a very valid question and here is the answer –
MySQL Workbench by defaults limit the numbers of rows any query can retrieve. The initial default value is set to 1000. That means it does not matter how many records your query is retrieving it will only record a maximum of 1000 rows. This limit is implemented for two major reasons. 1) It prevents accidents where users have not written, WHERE clause and execute query which retrieves all the rows from the table. 2) Let us assume there is a query which has multiple tables and it is retrieving thousands of the rows, when it will execute it may quite possibly hang the entire MySQL Workbench till the query has completed. To avoid a situation like this where your resources of Server or Client are blocked by unwanted queries; MySQL Workbench has limited the number of rows to be retrieved by any single query to 1000.
You can easily change this limit by going to MySQL Workbench >> Edit >> Preferences >> SQL Queries tab. Over here you will option to Limit Rows. You can set this to very high value or uncheck the option. When you uncheck that option, it will retrieve all the rows from a query (equivalent to no limits).
Let me know what is your opinion?
Reference: Pinal Dave (https://blog.sqlauthority.com)
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ganesan
April 1, 2019 5:35 pm
how do infinite number of rows upload in mysql workbench
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Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 22 years of hands-on experience. He holds a Masters of Science degree and numerous database certifications.
Pinal has authored 13 SQL Server database books and 56 Pluralsight courses. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,700 database tech articles on his blog at https://blog.sqlauthority.com.
Pinal is an experienced and dedicated professional with a deep commitment to flawless customer service. If you need help with any SQL Server Performance Tuning Issues, please feel free to reach out at pinal@sqlauthority.com.
Pinal is also a CrossFit Level 1 Trainer (CF-L1) and CrossFit Level 2 Trainer (CF-L2).
Nupur Dave is a social media enthusiast and an independent consultant. She primarily focuses on the database domain, helping clients build short and long-term multi-channel campaigns to drive leads for their sales pipeline.
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As a seasoned database professional with extensive experience spanning over two decades, I can confidently address the query raised in the provided article regarding MySQL Workbench's default row retrieval limit. My expertise in database management, SQL, and related technologies positions me as a reliable source for clarifying this common concern.
The article discusses a frequently asked question by new users of MySQL Workbench who notice a discrepancy in the number of records retrieved when executing a SQL query from their application versus executing the same query in MySQL Workbench itself. The identified issue revolves around MySQL Workbench's default behavior, which limits the number of rows any query can retrieve, with the initial default value set at 1000.
I concur with the article's explanation that this limit serves two crucial purposes. Firstly, it prevents accidental execution of queries without a WHERE clause, which could potentially retrieve all rows from a table, leading to undesired outcomes. Secondly, it safeguards the performance of MySQL Workbench by avoiding situations where queries involving multiple tables or retrieving thousands of rows might hang the entire application until completion, causing resource blockage on the server or client side.
To address this limitation, the article provides a solution: users can modify the row retrieval limit by navigating to MySQL Workbench's preferences, specifically in the SQL Queries tab under Edit. In this section, users can adjust the "Limit Rows" option to a higher value or uncheck the option altogether, thereby allowing the retrieval of all rows without any constraints.
In conclusion, my in-depth understanding of database management and SQL technologies aligns with the concepts discussed in the article. I can affirm that the provided information is accurate and offers a practical solution for users encountering the specified issue in MySQL Workbench.
Feel free to reach out if you have any further questions or if there's anything else related to database performance tuning or SQL queries that you'd like to explore.