szehon-ho commented on code in PR #4709:
URL: https://github.com/apache/iceberg/pull/4709#discussion_r978107679
##########
docs/spark-queries.md:
##########
@@ -394,3 +394,14 @@
spark.read.format("iceberg").load("db.table.files").show(truncate = false)
// Hadoop path table
spark.read.format("iceberg").load("hdfs://nn:8020/path/to/table#files").show(truncate
= false)
```
+
+You can also inspect Iceberg metadata tables with the time travel feature:
Review Comment:
1. I think we tend to avoid second person 'you' in the docs, and just state
that something can be done.
2. Also what do you think about making a separate section (Time Travel with
Metadata Tables) and showing both the DF and the SQL way ? Otherwise people
may assume its only possible via dataframe.
3. Also this is unrelated but I realized that this section (Inspecting with
DataFrames) has the wrong heading level, it should be under the level of
(Inspecting Tables), as that level is about all metadata tables. Can you help
fix it as well?
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