Parquet Writer
StreamableKNIME BigData File Format Extension version 3.7.2.v201904171200 by KNIME AG, Zurich, Switzerland
For remote connections, the writer stores chunks locally and uploads them in parallel into a folder with the given name. The chunks size and the number of chunks that are allowed on local disc, are configurable in the "Chunk Upload" tab which is only enabled for remote file systems.
Options
- Output location
- A path on the local machine or remote server where the file is written.
- Overwrite
- If this option is selected the file will be overwritten if it exists
- Check directory content
- Enabled when using a remote connection and enabling the overwrite option. With this option enabled the node will fail if the content of the directory contains files that do not fit the file format suffix
- File Compression
- The compression codec used to write the Parquet file.
Chunk Upload
- Chunk size in MB
- The maximum size for an individual chunk.
- Number of local chunks
- The number of chunks that can be stored temporarily on disc, while the next chunk is written.
Output Type Mapping
Change the KNIME to Parquet type mapping configuration for subsequent nodes by selecting a Parquet type to the given KNIME Type. The dialog allows you to add new or change existing type mapping rules.
- Mapping by Name
- Columns that match the given name (or regular expression) and KNIME type will be mapped to the specified Parquet type.
- Mapping by Type
- Columns that match the given KNIME type will be mapped to the specified Parquet type.
Input Ports
Best Friends (Incoming)
CSV Reader (12 %) 
Column Filter (12 %) Streamable
Concatenate (9 %) Streamable
Loop End (7 %) 
Parquet Reader (7 %) Streamable
Database Reader (5 %) 
String Manipulation (Variable) (5 %) 
Excel Reader (XLS) (5 %) Streamable
File Reader (2 %) Streamable
Table Reader (2 %) Streamable
Table Creator (2 %) 
Java Edit Variable (2 %) 
Java Snippet (2 %) Streamable
Generic Loop Start (2 %) 
Variable Loop End (2 %) 
Row Filter (2 %) Streamable
Joiner (2 %) 
Normalizer (2 %) 
Missing Value (2 %) 
Ungroup (2 %) Streamable
Rule Engine (2 %) Streamable
HDFS Connection (2 %) 
Spark to Table (2 %) 
Azure Blob Store Connection (2 %) 
Time to String (legacy) (2 %) Streamable- Show all 25 recommendations
Best Friends (Outgoing)
- Parquet Reader (33 %) Streamable
- Parquet to Spark (33 %)
- Save Configuration (11 %)
- Variable Loop End (11 %)
Partitioning (11 %)
Workflows
Installation
To use this node in KNIME, install KNIME BigData File Format Extension from the following update site: