咨询Confluent HDFS Connector是否支持Snappy压缩及配置方法

Yes, the Confluent HDFS Connector does support Snappy compression—the reason you didn't find explicit compression configs in the core configuration docs is because compression settings are tied to the serialization/format you're using with the connector. Here's how to set it up based on your data format:

Configuration by Data Format #

1. Avro Format (Most Common Use Case) #

If you're using Avro with the Confluent Schema Registry, add these compression settings to your connector properties file:

# Avro converter setup (required for Avro format)
key.converter=io.confluent.connect.avro.AvroConverter
value.converter=io.confluent.connect.avro.AvroConverter
key.converter.schema.registry.url=http://your-schema-registry-host:8081
value.converter.schema.registry.url=http://your-schema-registry-host:8081

# Enable Snappy compression for Avro data
key.converter.avro.compression.codec=snappy
value.converter.avro.compression.codec=snappy

2. Parquet Format #

If you're writing data to HDFS in Parquet format, use this config to enable Snappy:

# Set output format to Parquet
format.class=io.confluent.connect.hdfs.parquet.ParquetFormat

# Enable Snappy compression for Parquet files
parquet.compression=SNAPPY

3. Text/Other Hadoop Formats #

For plain text or other Hadoop-native formats, you can specify the Snappy codec directly for HDFS compression:

# Enable Snappy compression for HDFS files
hdfs.compression.codec=org.apache.hadoop.io.compress.SnappyCodec
hdfs.compression.enable=true

Quick Notes #

• Make sure your Confluent/Hadoop environment has the Snappy libraries installed (most Confluent Platform distributions include these by default).
• Compression is applied at the file level during write operations to HDFS, so you'll see compressed files (e.g., .avro.snappy, .parquet) in your target HDFS directory once the connector runs.

内容的提问来源于stack exchange，提问作者NoName