pan3793 commented on code in PR #7732:
URL: https://github.com/apache/iceberg/pull/7732#discussion_r1851652207
##########
docs/docs/spark-configuration.md:
##########
@@ -154,43 +154,51 @@ spark.read
.table("catalog.db.table")
```
-| Spark option | Default | Description
|
-| --------------- | --------------------- |
-----------------------------------------------------------------------------------------
|
-| snapshot-id | (latest) | Snapshot ID of the table snapshot
to read |
-| as-of-timestamp | (latest) | A timestamp in milliseconds; the
snapshot used will be the snapshot current at this time. |
-| split-size | As per table property | Overrides this table's
read.split.target-size and read.split.metadata-target-size |
-| lookback | As per table property | Overrides this table's
read.split.planning-lookback |
-| file-open-cost | As per table property | Overrides this table's
read.split.open-file-cost |
-| vectorization-enabled | As per table property | Overrides this table's
read.parquet.vectorization.enabled |
-| batch-size | As per table property | Overrides this table's
read.parquet.vectorization.batch-size |
-| stream-from-timestamp | (none) | A timestamp in milliseconds to stream from;
if before the oldest known ancestor snapshot, the oldest will be used |
+Iceberg 1.8.0 and later support setting read options by Spark session
configuration `spark.datasource.iceberg.<key>=<value>`
+when using DataFrame to read Iceberg tables, for example:
`spark.datasource.iceberg.split-size=512m`, it has lower priority
+than options explicitly passed to DataFrameReader.
+
+| Spark option | Default | Description
|
Review Comment:
it was auto-formatted by IDEA, reverted
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