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Doc : Document time travel via SPARK SQL #4707

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14 changes: 13 additions & 1 deletion docs/spark/spark-queries.md
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Expand Up @@ -116,7 +116,19 @@ ignored. Do not use `table` when attempting to time-travel or use other options.
in [Spark 3.1 - SPARK-32592](https://issues.apache.org/jira/browse/SPARK-32592).
{{< /hint >}}

Time travel is not yet supported by Spark's SQL syntax.
Time travel is not yet fully supported by Spark's SQL syntax. (ref : [Spark 3.3 - SPARK-37219](https://issues.apache.org/jira/browse/SPARK-37219)
for `AS OF` syntax support)

As an alternative we can use `at_timestamp_`, `snapshot_id_` as prefix of timestamp, snapshot_id respectively along with
the table name to time travel.

```sql
-- time travel to October 26, 1986 at 01:21:00
SELECT * FROM prod.db.table.at_timestamp_499162860000;

-- time travel to snapshot with ID 10963874102873L
SELECT * FROM prod.db.table.snapshot_id_10963874102873;
```

### Incremental read

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