kevinjqliu commented on code in PR #2540:
URL: https://github.com/apache/iceberg-python/pull/2540#discussion_r2395293508
##########
dev/provision.py:
##########
@@ -23,35 +22,27 @@
from pyiceberg.schema import Schema
from pyiceberg.types import FixedType, NestedField, UUIDType
-# The configuration is important, otherwise we get many small
-# parquet files with a single row. When a positional delete
-# hits the Parquet file with one row, the parquet file gets
-# dropped instead of having a merge-on-read delete file.
-spark = (
- SparkSession
- .builder
- .config("spark.sql.shuffle.partitions", "1")
- .config("spark.default.parallelism", "1")
Review Comment:
Looks like spark connect doesnt support these options
```
.config("spark.sql.shuffle.partitions", "1")
.config("spark.default.parallelism", "1")
```
And `INSERT INTO` writes 1 data file per row. In order to force a single
data file, im using
```
.coalesce(1).writeTo(identifier).append()
```
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