[jira] [Assigned] (SPARK-8887) Explicitly define which data types can be used as dynamic partition columns
[ https://issues.apache.org/jira/browse/SPARK-8887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-8887: --- Assignee: Cheng Lian (was: Apache Spark) Explicitly define which data types can be used as dynamic partition columns --- Key: SPARK-8887 URL: https://issues.apache.org/jira/browse/SPARK-8887 Project: Spark Issue Type: Sub-task Components: SQL Affects Versions: 1.4.0 Reporter: Cheng Lian Assignee: Cheng Lian {{InsertIntoHadoopFsRelation}} implements Hive compatible dynamic partitioning insertion, which uses {{String.valueOf}} to write encode partition column values into dynamic partition directories. This actually limits the data types that can be used in partition column. For example, string representation of {{StructType}} values is not well defined. However, this limitation is not explicitly enforced. There are several things we can improve: # Enforce dynamic column data type requirements by adding analysis rules and throws {{AnalysisException}} when violation occurs. # Abstract away string representation of various data types, so that we don't need to convert internal representation types (e.g. {{UTF8String}}) to external types (e.g. {{String}}). A set of Hive compatible implementations should be provided to ensure compatibility with Hive. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-8887) Explicitly define which data types can be used as dynamic partition columns
[ https://issues.apache.org/jira/browse/SPARK-8887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-8887: --- Assignee: Apache Spark (was: Cheng Lian) Explicitly define which data types can be used as dynamic partition columns --- Key: SPARK-8887 URL: https://issues.apache.org/jira/browse/SPARK-8887 Project: Spark Issue Type: Sub-task Components: SQL Affects Versions: 1.4.0 Reporter: Cheng Lian Assignee: Apache Spark {{InsertIntoHadoopFsRelation}} implements Hive compatible dynamic partitioning insertion, which uses {{String.valueOf}} to write encode partition column values into dynamic partition directories. This actually limits the data types that can be used in partition column. For example, string representation of {{StructType}} values is not well defined. However, this limitation is not explicitly enforced. There are several things we can improve: # Enforce dynamic column data type requirements by adding analysis rules and throws {{AnalysisException}} when violation occurs. # Abstract away string representation of various data types, so that we don't need to convert internal representation types (e.g. {{UTF8String}}) to external types (e.g. {{String}}). A set of Hive compatible implementations should be provided to ensure compatibility with Hive. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-8887) Explicitly define which data types can be used as dynamic partition columns
[ https://issues.apache.org/jira/browse/SPARK-8887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Cheng Lian reassigned SPARK-8887: - Assignee: Cheng Lian Explicitly define which data types can be used as dynamic partition columns --- Key: SPARK-8887 URL: https://issues.apache.org/jira/browse/SPARK-8887 Project: Spark Issue Type: Sub-task Components: SQL Affects Versions: 1.4.0 Reporter: Cheng Lian Assignee: Cheng Lian {{InsertIntoHadoopFsRelation}} implements Hive compatible dynamic partitioning insertion, which uses {{String.valueOf}} to write encode partition column values into dynamic partition directories. This actually limits the data types that can be used in partition column. For example, string representation of {{StructType}} values is not well defined. However, this limitation is not explicitly enforced. There are several things we can improve: # Enforce dynamic column data type requirements by adding analysis rules and throws {{AnalysisException}} when violation occurs. # Abstract away string representation of various data types, so that we don't need to convert internal representation types (e.g. {{UTF8String}}) to external types (e.g. {{String}}). A set of Hive compatible implementations should be provided to ensure compatibility with Hive. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org