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python - How to read a list of parquet files from S3 as a pandas . . . import pyarrow parquet as pq dataset = pq ParquetDataset('parquet ') table = dataset read() df = table to_pandas() Both work like a charm Now I want to achieve the same remotely with files stored in a S3 bucket I was hoping that something like this would work:
Inspect Parquet from command line - Stack Overflow How do I inspect the content of a Parquet file from the command line? The only option I see now is $ hadoop fs -get my-path local-file $ parquet-tools head local-file | less I would like to avoid
Unable to infer schema when loading Parquet file The documentation for parquet says the format is self describing, and the full schema was available when the parquet file was saved What gives? Using Spark 2 1 1 Also fails in 2 2 0 Found this bug report, but was fixed in 2 0 1, 2 1 0 UPDATE: This work when on connected with master="local", and fails when connected to master="mysparkcluster"
How to read a Parquet file into Pandas DataFrame? How to read a modestly sized Parquet data-set into an in-memory Pandas DataFrame without setting up a cluster computing infrastructure such as Hadoop or Spark? This is only a moderate amount of data that I would like to read in-memory with a simple Python script on a laptop
indexing - Index in Parquet - Stack Overflow Basically Parquet has added two new structures in parquet layout - Column Index and Offset Index Below is a more detailed technical explanation what it solves and how Problem Statement In the current format, Statistics are stored for ColumnChunks in ColumnMetaData and for individual pages inside DataPageHeader structs
How to view Apache Parquet file in Windows? - Stack Overflow 98 What is Apache Parquet? Apache Parquet is a binary file format that stores data in a columnar fashion Data inside a Parquet file is similar to an RDBMS style table where you have columns and rows But instead of accessing the data one row at a time, you typically access it one column at a time
What are the pros and cons of the Apache Parquet format compared to . . . Parquet has gained significant traction outside of the Hadoop ecosystem For example, the Delta Lake project is being built on Parquet files Arrow is an important project that makes it easy to work with Parquet files with a variety of different languages (C, C++, Go, Java, JavaScript, MATLAB, Python, R, Ruby, Rust), but doesn't support Avro
How do you control the size of the output file? - Stack Overflow Lots of smaller parquet files are more space efficient than one large parquet file because dictionary encoding and other compression techniques gets abandoned if the data in a single file has more variety
Methods for writing Parquet files using Python? - Stack Overflow I'm having trouble finding a library that allows Parquet files to be written using Python Bonus points if I can use Snappy or a similar compression mechanism in conjunction with it Thus far the