szehon-ho commented on code in PR #5978:
URL: https://github.com/apache/iceberg/pull/5978#discussion_r995161655
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docs/spark-queries.md:
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@@ -78,10 +78,10 @@ val df = spark.table("prod.db.table")
Iceberg 0.11.0 adds multi-catalog support to `DataFrameReader` in both Spark
3.x and 2.4.
Paths and table names can be loaded with Spark's `DataFrameReader` interface.
How tables are loaded depends on how
-the identifier is specified. When using
`spark.read.format("iceberg").path(table)` or `spark.table(table)` the `table`
+the identifier is specified. When using
`spark.read.format("iceberg").load(table)` or `spark.table(table)` the `table`
variable can take a number of forms as listed below:
-* `file:/path/to/table`: loads a HadoopTable at given path
+* `file:///path/to/table`: loads a HadoopTable at given path
Review Comment:
Also changed this part, Spark parser will not pass if there is file:/ (at
least for me), so added two other slashes, but let me know if this works in
other setups
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