Snippet Name: Index_Row_Count_Query

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Created Date: 2025-06-16 13:12:50
Last Modified Date: 2025-05-31 10:32:02

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Title: Index Row Count Query
Author: user
in sql server i have some column store indexes, spatial indexes, and xml indexes. i wanted to list the indexes and the row counts of their table they reside in. the query below does not return row counts for xml or spatial, but returns data for the clustered column store. what am i doing wrong?     SELECT  
      QUOTENAME(sch.name)  COLLATE SQL_Latin1_General_CP1_CI_AS 
      + '.'  COLLATE SQL_Latin1_General_CP1_CI_AS  
      + QUOTENAME([o].[name])  COLLATE SQL_Latin1_General_CP1_CI_AS  AS [QualifiedObjectName],
      sch.name AS [SchemaName],
           [o].[name] AS [ObjectName],
           [i].[type_desc],
           SUM([ps].[rows]) AS [TheCount],
           'SELECT * FROM '  COLLATE SQL_Latin1_General_CP1_CI_AS 
           + QUOTENAME(sch.name)  COLLATE SQL_Latin1_General_CP1_CI_AS 
           + '.' COLLATE SQL_Latin1_General_CP1_CI_AS 
           + QUOTENAME([o].[name])  COLLATE SQL_Latin1_General_CP1_CI_AS  AS [cmd]
    FROM   [sys].[indexes] AS [i]
           INNER JOIN [sys].[objects] AS [o]
                   ON [i].[object_id] = [o].[object_id]
           INNER JOIN [sys].[schemas] AS [sch]
                   ON [sch].[schema_id] = [o].[schema_id]
           LEFT JOIN [sys].[partitions] AS [ps]
                   ON [i].[object_id] = [ps].[object_id]
                      AND [i].[index_id] = [ps].[index_id]
    WHERE [i].[type_desc] IN('CLUSTERED COLUMNSTORE','SPATIAL','XML')
    GROUP BY 
      sch.name,
      o.name,
      [i].[type_desc]

Author: ChatGPT
The issue with your query is that the `sys.partitions` view does not return row count information for **XML** or **SPATIAL** indexes because they don't have a direct representation in terms of rows in the same way as table data or columnstore indexes do. These indexes are managed differently in SQL Server.

To include XML and SPATIAL indexes and retrieve row counts for their underlying tables, you need to adjust your query. Instead of trying to get row counts for these indexes directly, you can retrieve the row counts of the underlying table and include the index type in your result.

Here???s the corrected query:

```sql
SELECT
    QUOTENAME(sch.name) + '.' + QUOTENAME(o.name) AS [QualifiedObjectName],
    sch.name AS [SchemaName],
    o.name AS [ObjectName],
    i.type_desc AS [IndexType],
    p.[rows] AS [TableRowCount],
    'SELECT * FROM ' + QUOTENAME(sch.name) + '.' + QUOTENAME(o.name) AS [cmd]
FROM sys.indexes AS i
INNER JOIN sys.objects AS o
    ON i.object_id = o.object_id
INNER JOIN sys.schemas AS sch
    ON o.schema_id = sch.schema_id
LEFT JOIN sys.partitions AS p
    ON i.object_id = p.object_id
    AND p.index_id IN (0, 1) -- Include only heap (0) or clustered index (1) for row count
WHERE i.type_desc IN ('CLUSTERED COLUMNSTORE', 'SPATIAL', 'XML')
    AND o.type = 'U' -- Include only user tables
GROUP BY
    sch.name,
    o.name,
    i.type_desc,
    p.[rows];
```

### Explanation:
1. **Row Counts from Base Table**:
   - For **XML** and **SPATIAL** indexes, the row count is derived from the base table. Row counts are associated with the heap or clustered index (if any). We ensure this by filtering `p.index_id IN (0, 1)`.

2. **Index Filtering**:
   - The query filters `i.type_desc` to include the required index types: `CLUSTERED COLUMNSTORE`, `SPATIAL`, and `XML`.

3. **Grouping**:
   - Grouping is adjusted to include the base table row count only once, regardless of the number of indexes.

### Notes:
- **SPATIAL Index**: These are usually on spatial data types and work differently than traditional indexes. Their purpose is to optimize spatial queries rather than directly indexing table rows.
- **XML Index**: Similarly, these are logical indexes for optimizing queries on XML data and are not directly tied to table rows like traditional indexes.

This approach provides a comprehensive view of your indexes along with the row counts of their respective tables.

Author: user
one of my tables is partitioned, so i am getting a row count per partition, instead of the sum.

Author: ChatGPT
To address the issue of partitioned tables and ensure that you get the **total row count across all partitions for each table**, you need to modify the query to sum up the row counts (`p.[rows]`) for all partitions of a table. Here???s the updated query:

```sql
SELECT
    QUOTENAME(sch.name) + '.' + QUOTENAME(o.name) AS [QualifiedObjectName],
    sch.name AS [SchemaName],
    o.name AS [ObjectName],
    i.type_desc AS [IndexType],
    SUM(p.[rows]) AS [TotalRowCount], -- Sum rows across partitions
    'SELECT * FROM ' + QUOTENAME(sch.name) + '.' + QUOTENAME(o.name) AS [cmd]
FROM sys.indexes AS i
INNER JOIN sys.objects AS o
    ON i.object_id = o.object_id
INNER JOIN sys.schemas AS sch
    ON o.schema_id = sch.schema_id
LEFT JOIN sys.partitions AS p
    ON i.object_id = p.object_id
    AND p.index_id IN (0, 1) -- Include only heap (0) or clustered index (1) for row count
WHERE i.type_desc IN ('CLUSTERED COLUMNSTORE', 'SPATIAL', 'XML')
    AND o.type = 'U' -- Include only user tables
GROUP BY
    sch.name,
    o.name,
    i.type_desc;
```

### Key Changes:
1. **SUM(p.[rows])**:
   - The `SUM(p.[rows])` aggregates row counts across all partitions for a given table.

2. **Partition Handling**:
   - Even for partitioned tables, the `SUM` will combine row counts from all partitions into a single total.

3. **Group By**:
   - The grouping ensures that row counts are calculated per table and index type.

### Output:
- Each table will have a single row in the output, with the **TotalRowCount** representing the total rows across all partitions for that table.

This query should handle partitioned tables correctly and give you the desired total row count for tables with `CLUSTERED COLUMNSTORE`, `SPATIAL`, and `XML` indexes.