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Merge pull request #1761 from MicrosoftDocs/repo_sync_working_branch
Confirm merge from repo_sync_working_branch to master to sync with https://github.com/MicrosoftDocs/windows-itpro-docs (branch public)
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@ -97,16 +97,16 @@ Now that you've run your first query and have a general idea of its components,
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| Operator | Description and usage |
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| Operator | Description and usage |
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| **where** | Filter a table to the subset of rows that satisfy a predicate. |
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| **`where`** | Filter a table to the subset of rows that satisfy a predicate. |
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| **summarize** | Produce a table that aggregates the content of the input table. |
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| **`summarize`** | Produce a table that aggregates the content of the input table. |
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| **join** | Merge the rows of two tables to form a new table by matching values of the specified column(s) from each table. |
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| **`join`** | Merge the rows of two tables to form a new table by matching values of the specified column(s) from each table. |
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| **count** | Return the number of records in the input record set. |
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| **`count`** | Return the number of records in the input record set. |
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| **top** | Return the first N records sorted by the specified columns. |
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| **`top`** | Return the first N records sorted by the specified columns. |
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| **limit** | Return up to the specified number of rows. |
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| **`limit`** | Return up to the specified number of rows. |
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| **project** | Select the columns to include, rename or drop, and insert new computed columns. |
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| **`project`** | Select the columns to include, rename or drop, and insert new computed columns. |
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| **extend** | Create calculated columns and append them to the result set. |
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| **`extend`** | Create calculated columns and append them to the result set. |
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| **makeset** | Return a dynamic (JSON) array of the set of distinct values that Expr takes in the group. |
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| **`makeset`** | Return a dynamic (JSON) array of the set of distinct values that Expr takes in the group. |
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| **find** | Find rows that match a predicate across a set of tables. |
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| **`find`** | Find rows that match a predicate across a set of tables. |
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To see a live example of these operators, run them from the **Get started** section of the Advanced hunting page.
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To see a live example of these operators, run them from the **Get started** section of the Advanced hunting page.
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