parquet

parquet

GENERIC_INTERNAL_ERROR: Field new_test2 not found in log schema. Query cannot proceed! Derived Schema Fields:

PyArrow: Writing a parquet file with a particular schema

Pyarrow schema with Timestamp unit 's' when written to Parquet changed to 'ms' upon reloaded

Issue while using py-polars sink_parquet method on a LazyFrame

Is there a way to get the partitioning information from a child parquet file path?

Replacing characters & numbers in parquet files

can i use some native Parquet file tools in Azure Logic App?

How to create an AWS Athena Table with Partition Projection and Bucketing enabled?

Parquet 2.4+ and PyArrow 10.0.1 - Attempting to switch pyarrow column from string to datetime

Apache Arrow C++: What's the best fast alternative to parquet::StreamWriter?

How to write multiple arrow/parquet files in chunks while reading in large data quantities of data so that all written files are one dataset?

C# - Writing JSON to Parquet file does not work with nested json

ADF pipeline not able to read DECIMAL(36,0) value from Parquet file

Using Parquet Writer is it possible to write data into parquet with bucketing?

Snappy compression and runs of repeated values in a Parquet column

update Parquet file format

is that possible to write Parquet file using outputstream?

Is it possible to specify the compression when using pyarrow write_dataset?

Using Parquet metatada to find specific key

Find a column name from the list of parquet files in a folder in Synapse using SQL

DataError: Supplied data does not contain specified dimensions, the following dimensions were not found: ['pickup_x', 'pickup_y']

How should protobuf message with repeated fields be converted to parquet to be queried by Athena?

How to get an efficient data ingestion solution using Java, Apache Arrow and Apache Parquet

Is there any way to log file directly in Parquet format using log4j

Parquet file accessing i-th element in row group using Python

Write Delta Encoded Parquet Files

pyarrow dataset partitioning by filenames converting filename to field/column name

Is it possible to reopen ParquetWriter after close() is called?

Lowest storage cost option for batch data in Parquet format?

How to convert a columns 'date' in a glue context dynamic frame using mapping?

PyFlink reading Parquet files

Parquet-MR library is throwing an exception while reading (FIXED_LEN_BYTE_ARRAY / UUID) column

SQOOP to HIVE in Parquet

Parquet meta data of "has_dictionary_page" is false but column has "PLAIN_DICTIONARY" encoding

Why does a sorted parquet file have a larger size than a non-sorted one?

How can one append to parquet files and how does it affect partitioning?

PyArrow read_table filter null values

Partitioned parquet file takes more space and more time to query

Incrementally writing Parquet dataset from Python

Accessing Parquet files form Teiid

Clickhouse : Inserting data with missing columns from parquet file

Process messages with Null inside array in Kafka connect S3 connector

Why can't we convert flat columns of awkward1 arrays `to_parquet`?

How to change column datatype with pyarrow

Can I access a Parquet file via index without reading the entire file into memory?

Python error using pyarrow - ArrowNotImplementedError: Support for codec 'snappy' not built

Dremel, Null value in repeted field

http request with parquet and pyarrow

Spark Schema Not Being used for Parquet Write

Is there a way to write list field using the StreamWriter object?

Using per-column compression codec in Parquet.write_table

Error using Polybase to load Parquet file: class java.lang.Integer cannot be cast to class parquet.io.api.Binary

Writing parquet file throws...An HTTP header that's mandatory for this request is not specified

When should I use dictionary encoding in parquet?

How can I read a parquet file that uses the DELTA_BYTE_ARRAY encoding?

Azure Data Explorer slow ingestion / failures

PyArrow get Metadata from file in S3

Parquet file with uneven columns

How can I change the name of a column in a parquet file using Pyarrow?

Parquet raw file content seems incomplete vs content displayed in databricks

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