Apache Parquet is a columnar, file-based storage format, originating in the Apache Hadoop ecosystem. It can be queried efficiently, is highly compressed, supports null values, and is non-spatial. It is supported by many Apache big data frameworks, such as Drill, Hive, and Spark.
Parquet is additionally supported by several large-scale query providers, such as Amazon AWS Athena, Google Cloud BigQuery, and Microsoft Azure Data Lake Analytics.
About Apache Parquet Format Support
Note that this format will replace the Apache Parquet FME package format (which is being removed in April 2022):
Parquet Product and System Requirements
|
Format |
Product |
Operating System |
||||
|---|---|---|---|---|---|---|
|
Reader/Writer |
FME Desktop License |
FME Server |
FME Cloud |
Windows |
Linux |
Mac |
|
Reader |
Available in FME Professional Edition and higher |
Yes |
Yes |
64-bit: Yes |
Yes |
Yes |
|
Writer |
Available in FME Professional Edition and higher |
Yes |
Yes |
64-bit: Yes |
Yes |
Yes |
- More about FME Licenses and Subscriptions.
- More about FME Desktop Editions and Licenses.
Parquet File Extensions
A Parquet dataset consists of multiple *.parquet files in a folder, potentially nested into partitions by attribute. For example, a Parquet dataset of customer information, partitioned by account type, might look like this:
- customers
- starter
- Ks4Fju.parquet
- N7GQGb.parquet
- DsuO3K.parquet
- ...
- plus
- e0UOXZ.parquet
- 5htd7H.parquet
- ...
- enterprise
- GqZIV1.parquet
- GZgJAk.parquet
- GShRhm.parquet
- Tz06cp.parquet
- ...
- starter
To write to this dataset, you would select the "customers" folder as the format dataset.
Reader Overview
While Parquet is a columnar format, the Parquet reader produces a feature for each row in the dataset. However, Bulk Mode bridges the gap between columnar storage and row-based access in FME.
The reader operates on a single *.parquet file, but multiple files making up a partitioned dataset can be selected. The writer will write a single file per feature type, but data can be partitioned using feature type fanout.
A dataset has only one reader feature type.
Latitude/Longitude and x, y, z coordinates
FME automatically recognizes some common attribute names as potential x,y,z coordinates and sets their types.
This data may not necessarily have a spatial component, but columns can be identified as x, y, or z coordinates to create point geometries. If a schema scan is performed and field labels contain variations of x/y, east/north, or easting/northing, FME will create the point geometry.
If FME detects latitude and longitude column names (for example, Latitude/Longitude or Lat/Long), the source coordinate system will be set to LL-WGS84.
Writer Overview
The Parquet writer writes all the attributes of a feature to a Parquet dataset. The writer operates on a folder and will write a single .parquet file to the folder for each feature type. The file name will be the feature type name. Existing files of the same name will be overwritten. There is a file version option for backwards compatibility with older external readers and a compression option to reduce file size.
A dataset has only one writer feature type, meaning a file only contains features from a single feature type.