[ https://issues.apache.org/jira/browse/SPARK-45711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jiaan Geng updated SPARK-45711: ------------------------------- Description: Currently, Spark supported all the avro compression codecs, but the avro supported compression codecs and spark supported are not completely one-on-one due to Spark introduce the compression codecs UNCOMPRESSED. There are a lot of magic strings copy from avro compression codecs. This issue lead to developers need to manually maintain its consistency. It is easy to make mistakes and reduce development efficiency. was: Currently, Spark supported all the avro compression codecs, but the avro supported compression codecs and spark supported are not completely one-on-one due to Spark introduce the compression codecs UNCOMPRESSED. There are a lot of magic strings copy from orc compression codecs. This issue lead to developers need to manually maintain its consistency. It is easy to make mistakes and reduce development efficiency. > Introduce a mapper for avro compression codecs > ---------------------------------------------- > > Key: SPARK-45711 > URL: https://issues.apache.org/jira/browse/SPARK-45711 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 4.0.0 > Reporter: Jiaan Geng > Assignee: Jiaan Geng > Priority: Major > > Currently, Spark supported all the avro compression codecs, but the avro > supported compression codecs and spark supported are not completely > one-on-one due to Spark introduce the compression codecs UNCOMPRESSED. > There are a lot of magic strings copy from avro compression codecs. This > issue lead to developers need to manually maintain its consistency. It is > easy to make mistakes and reduce development efficiency. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org