Checking File Size in Databricks
To check the size of a file in Databricks, you can use the `dbutils.fs.ls()` command. This command lists the files in a specified directory and provides details such as the file name and size.
Here’s an example of how to use it:
dbutils.fs.ls("/mnt/path/to/your/file")
This will return a list of files with their sizes. If you want to get the total size of a directory, including all its subdirectories and files, you can use a Python script to sum up the sizes of all files.
For instance, you can use the following Python function:
import glob
from dbruntime.dbutils import FileInfo
def get_directory_size_in_bytes(source_path):
source_path = '/dbfs/' + source_path.replace('dbfs','').lstrip('/').lstrip(':').rstrip('/')
files = glob.glob(f'{source_path}/**/*.parquet')
directory_size = sum([dbutils.fs.ls(path.replace('/dbfs/','')).size for path in files])
return directory_size
Alternatively, you can use Unix commands in a Databricks notebook to get the directory size:
%sh du -h /dbfs/mnt/path/to/your/directory
Frequently Asked Questions
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Q: How do I optimize file sizes in Delta Lake tables?
A: You can optimize file sizes in Delta Lake by setting the `delta.targetFileSize` property. This allows you to specify a target size for files during operations like `OPTIMIZE` or auto compaction.
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Q: What is the default target file size for Delta Lake tables smaller than 2.56 TB?
A: The default target file size for Delta Lake tables smaller than 2.56 TB is 256 MB.
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Q: How do I display HTML content in a Databricks notebook?
A: You can display HTML content in a Databricks notebook using the `displayHTML()` function.
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Q: Can I use Markdown syntax in Databricks notebooks?
A: Yes, Databricks notebooks support Markdown syntax for formatting text.
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Q: How do I get the total size of a directory using `dbutils`?
A: You can’t directly get the total size of a directory using `dbutils.fs.ls()`, but you can write a Python script to sum the sizes of all files in the directory.
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Q: Can I use `dbutils` to list files recursively?
A: No, `dbutils.fs.ls()` does not list files recursively. You need to use Python’s `glob` module for recursive listing.
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Q: How do I handle large files in Databricks?
A: Handling large files in Databricks involves optimizing storage and processing. You can use Delta Lake optimizations and partitioning to manage large datasets efficiently.
Bottom Line
Checking file sizes in Databricks is straightforward using `dbutils.fs.ls()`, and optimizing file sizes in Delta Lake tables can be achieved by setting specific properties. For more complex operations like calculating directory sizes, using Python scripts or Unix commands is recommended.