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Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
kolchfa-aws committed Dec 19, 2024
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@@ -39,12 +39,6 @@ To get started with the **Accelerate performance** use case available in **Data

### Define covering index settings

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1. Under **Index settings**, enter a valid index name. Note that each Amazon S3 table can have multiple covering indexes.
2. Once you have added the index name, define the covering index fields by selecting `(add fields here)` under **Covering index definition**.
3. Select the **Copy Query to Editor** button to apply your covering index settings.
4. View the covering index query details in the table pane and then select the **Run** button. Your index is added to the left-side navigation menu containing the list of your databases.
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1. For **Index name**, enter a valid index name. Note that each table can have multiple covering indexes.
2. Choose a **Refresh type**. By default, OpenSearch automatically refreshes the index. Otherwise, you must manually trigger a refresh using a REFRESH statement.
3. Enter a **Checkpoint location**, which is a path for refresh job checkpoints. The location must be a path in a file system compatible with the Hadoop Distributed File System (HDFS). For more information, see [Starting streaming queries](https://spark.apache.org/docs/3.5.1/structured-streaming-programming-guide.html#starting-streaming-queries).
@@ -146,7 +140,6 @@ WITH (
watermark_delay = '1 Minute',
)
```
>>>>>>> 61bb43645 (Add public doc for scheduler (#8825))

## Limitations

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