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fix: small grammatical changes in documentation (#2901)
## Description Provide a concise summary of the changes made in this pull request - Fixed some of the small grammatical errors in the doc. ## Pull request type Check the appropriate box: - [ ] Review Fixes - [ ] Documentation Overhaul - [ ] Feature/Story - Link one or more Engineering Tickets * - [ ] A-Force - [x] Error in documentation - [ ] Maintenance ## Documentation tickets Link to one or more documentation tickets: - ## Checklist From the below options, select the ones that are applicable: - [x] Checked for Grammarly suggestions. - [x] Adhered to the writing checklist. - [ ] Adhered to the media checklist. - [ ] Verified and updated cross-references or added redirect rules. - [ ] Tested the redirect rules on deploy preview. - [ ] Validated the modifications made to the content on the deploy preview. - [ ] Validated the CSS modifications on different screen sizes.
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website/docs/connect-data/how-to-guides/fetch-and-filter-data-in-sql.md

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@@ -50,7 +50,7 @@ Learn more about [Prepared Statements](/connect-data/concepts/how-to-use-prepare
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:::caution
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* Using the `IS` keyword in MySQL is not supported in Appsmith. Use the `=` operator instead.
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* `true` / `false` values should be without quotes i.e. `{{true}}` instead of `{{”true”}}`.
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* `true` / `false` values should be without quotes, i.e., `{{true}}` instead of `{{”true”}}`.
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*Example:*
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1. Create a query to fetch data from the database using `pageSize`, and `pageOffset` reference properties:
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1. Create a query to fetch data from the database using `pageSize` and `pageOffset` reference properties:
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```sql
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**Example**:If you want to perform a partial text search that matches the search term anywhere in the data column, you can use the following query with prepared statements enabled:
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**Example**: If you want to perform a partial text search that matches the search term anywhere in the data column, you can use the following query with prepared statements enabled:
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```sql
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**Example :** If you're working with a list of product IDs as strings, you can use this query format:
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**Example:** If you're working with a list of product IDs as strings, you can use this query format:
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```sql
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-- With prepared statements disabled
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**Example :** If you want to filter employee data based on a specific combination of name and department, you can use the following query:
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**Example:** If you want to filter employee data based on a specific combination of name and department, you can use the following query:
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