lyepustin opened a new issue, #1795:
URL: https://github.com/apache/sedona/issues/1795
**Description**:
We have encountered an issue while using Apache Sedona's `ShapefileReader`
to read shapefiles stored in Azure Data Lake Storage Gen2 (ADLS Gen2). The
issue occurs specifically when the directory containing the shapefiles starts
with an underscore (`_`).
When attempting to read a shapefile from a directory named `_SILVER`, Sedona
fails with no specific error message.
> org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path
does not exist
However, renaming the directory to remove the leading underscore (e.g.,
`SILVER` or `TEST_SILVER`) resolves the issue, and the shapefiles are read
correctly.
**Steps to Reproduce**:
1. Store shapefiles in a directory named `_SILVER` in ADLS Gen2.
2. Attempt to read the shapefiles using the following code:
```python
from sedona.core.formatMapper.shapefileParser import ShapefileReader
from sedona.core.SedonaContext import SedonaContext
from sedona.utils.adapter import Adapter
# Set up Sedona Context
SedonaContext.create(spark)
# Define the path to the shapefile directory
path = "abfss://data...@yourstorageaccount.dfs.core.windows.net/_GEODATA/"
# Read shapefiles
spatial_rdd = ShapefileReader.readToGeometryRDD(sc, inputPath=path)
df = Adapter.toDf(spatial_rdd, sparkSession=spark)
# Print DataFrame count
print(df.count())
df.show()
```
3. Observe that the code fails to read the shapefiles when the directory
name starts with `_`.
4. Rename the directory (e.g., to `GEODATA`), rerun the code, and observe
that it works correctly.
**Workarounds Attempted**:
- Setting Spark configurations to include hidden files:
```python
spark.conf.set("mapreduce.input.fileinputformat.ignore.hidden.files",
"false")
spark.conf.set("spark.hadoop.mapreduce.input.fileinputformat.input.dir.ignore.hidden.file",
"false")
```
These configurations did not resolve the issue.
- Copying the `_GEODATA` directory to a new directory without the leading
underscore (e.g., `TEST_GEODATA`). This workaround was successful but is not
ideal for production environments.
**Environment Details**:
- **Apache Sedona Version**: apache-sedona==1.7.0
- **Pyspark extension**: pyspark-extension==2.12.0.3.5
- **Databricks Runtime Version**: 15.4 LTS (includes Apache Spark 3.5.0,
Scala 2.12)
- **Azure Data Lake Storage Gen2**
**Expected Behavior**:
The `ShapefileReader` should read shapefiles from directories starting with
an underscore (`_`) without requiring a directory rename.
**Actual Behavior**:
The `ShapefileReader` fails to read shapefiles from directories starting
with an underscore (`_`), but works as expected when the directory is renamed
to remove the underscore.
**Additional Information**:
- The `_` prefix in directory names is common for organizational purposes
(e.g., `_SILVER`, `_GOLD`).
- Other tools and libraries (e.g., Spark's native file readers) do not
exhibit this behavior.
- The issue may be related to how Sedona interacts with the underlying
Hadoop FileSystem.
**Request**:
We kindly request the Sedona team to investigate this issue and provide
guidance on whether this behavior is expected or if a fix is needed.
Thank you for your support!
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