[jira] [Updated] (HAWQ-992) PXF Hive data type check in Fragmenter too restrictive
[ https://issues.apache.org/jira/browse/HAWQ-992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Goden Yao updated HAWQ-992: --- Fix Version/s: (was: backlog) 2.0.1.0-incubating > PXF Hive data type check in Fragmenter too restrictive > -- > > Key: HAWQ-992 > URL: https://issues.apache.org/jira/browse/HAWQ-992 > Project: Apache HAWQ > Issue Type: Bug > Components: PXF >Reporter: Shivram Mani >Assignee: Oleksandr Diachenko > Fix For: 2.0.1.0-incubating > > > HiveDataFragmenter used by both HiveText and HiveRC profiles has a very > strict type check. > Hawq type numeric(10,10) is compatible with hive's decimal(10,10) > But Hawq type numeric is not compatible with hive's decimal(10,10) > Similar issue exits with other data types which have variable optional > arguments. The type check should be modified to allow hawq type that is a > compabitle type but without optional precision/length arguments to work with > the corresponding hive type. > Support following additional hive data types: date, varchar, char -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HAWQ-992) PXF Hive data type check in Fragmenter too restrictive
[ https://issues.apache.org/jira/browse/HAWQ-992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shivram Mani updated HAWQ-992: -- Description: HiveDataFragmenter used by both HiveText and HiveRC profiles has a very strict type check. Hawq type numeric(10,10) is compatible with hive's decimal(10,10) But Hawq type numeric is not compatible with hive's decimal(10,10) Similar issue exits with other data types which have variable optional arguments. The type check should be modified to allow hawq type that is a compabitle type but without optional precision/length arguments to work with the corresponding hive type. Support following additional hive data types: date, varchar, char was: HiveDataFragmenter used by both HiveText and HiveRC profiles has a very strict type check. Hawq type numeric(10,10) is compatible with hive's decimal(10,10) Hawq type numeric is not compatible with hive's decimal(10,10) Similar issue exits with other data types which have variable optional arguments. The type check should be modified to allow hawq type that is a compabitle type but without optional precision/length arguments to work with the corresponding hive type. Support following additional hive data types: date, varchar, char > PXF Hive data type check in Fragmenter too restrictive > -- > > Key: HAWQ-992 > URL: https://issues.apache.org/jira/browse/HAWQ-992 > Project: Apache HAWQ > Issue Type: Bug > Components: PXF >Reporter: Shivram Mani >Assignee: Shivram Mani > Fix For: backlog > > > HiveDataFragmenter used by both HiveText and HiveRC profiles has a very > strict type check. > Hawq type numeric(10,10) is compatible with hive's decimal(10,10) > But Hawq type numeric is not compatible with hive's decimal(10,10) > Similar issue exits with other data types which have variable optional > arguments. The type check should be modified to allow hawq type that is a > compabitle type but without optional precision/length arguments to work with > the corresponding hive type. > Support following additional hive data types: date, varchar, char -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HAWQ-992) PXF Hive data type check in Fragmenter too restrictive
[ https://issues.apache.org/jira/browse/HAWQ-992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shivram Mani updated HAWQ-992: -- Description: HiveDataFragmenter used by both HiveText and HiveRC profiles has a very strict type check. Hawq type numeric(10,10) is compatible with hive's decimal(10,10) Hawq type numeric is not compatible with hive's decimal(10,10) Similar issue exits with other data types which have variable optional arguments. The type check should be modified to allow hawq type that is a compabitle type but without optional precision/length arguments to work with the corresponding hive type. Support following additional hive data types: date, varchar, char was: HiveDataFragmenter used by both HiveText and HiveRC profiles has a very strict type check. Hawq type numeric(10,10) is compatible with hive's decimal(10,10) Hawq type numeric is not compatible with hive's decimal(10,10) Support following additional hive data types: date, varchar, char, Similar issue exits with other data types which have variable optional arguments. The type check should be modified to allow hawq type that is a compabitle type but without optional precision/length arguments to work with the corresponding hive type. > PXF Hive data type check in Fragmenter too restrictive > -- > > Key: HAWQ-992 > URL: https://issues.apache.org/jira/browse/HAWQ-992 > Project: Apache HAWQ > Issue Type: Bug > Components: PXF >Reporter: Shivram Mani >Assignee: Goden Yao > Fix For: backlog > > > HiveDataFragmenter used by both HiveText and HiveRC profiles has a very > strict type check. > Hawq type numeric(10,10) is compatible with hive's decimal(10,10) > Hawq type numeric is not compatible with hive's decimal(10,10) > Similar issue exits with other data types which have variable optional > arguments. The type check should be modified to allow hawq type that is a > compabitle type but without optional precision/length arguments to work with > the corresponding hive type. > Support following additional hive data types: date, varchar, char -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HAWQ-992) PXF Hive data type check in Fragmenter too restrictive
[ https://issues.apache.org/jira/browse/HAWQ-992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shivram Mani updated HAWQ-992: -- Description: HiveDataFragmenter used by both HiveText and HiveRC profiles has a very strict type check. Hawq type numeric(10,10) is compatible with hive's decimal(10,10) Hawq type numeric is not compatible with hive's decimal(10,10) Support following additional hive data types: date, varchar, char, Similar issue exits with other data types which have variable optional arguments. The type check should be modified to allow hawq type that is a compabitle type but without optional precision/length arguments to work with the corresponding hive type. was: HiveDataFragmenter used by both HiveText and HiveRC profiles has a very strict type check. Hawq type numeric(10,10) is compatible with hive's decimal(10,10) Hawq type numeric is not compatible with hive's decimal(10,10) Similar issue exits with other data types which have variable optional arguments. The type check should be modified to allow hawq type that is a compabitle type but without optional precision/length arguments to work with the corresponding hive type. > PXF Hive data type check in Fragmenter too restrictive > -- > > Key: HAWQ-992 > URL: https://issues.apache.org/jira/browse/HAWQ-992 > Project: Apache HAWQ > Issue Type: Bug > Components: PXF >Reporter: Shivram Mani >Assignee: Goden Yao > Fix For: backlog > > > HiveDataFragmenter used by both HiveText and HiveRC profiles has a very > strict type check. > Hawq type numeric(10,10) is compatible with hive's decimal(10,10) > Hawq type numeric is not compatible with hive's decimal(10,10) > Support following additional hive data types: date, varchar, char, > Similar issue exits with other data types which have variable optional > arguments. The type check should be modified to allow hawq type that is a > compabitle type but without optional precision/length arguments to work with > the corresponding hive type. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HAWQ-992) PXF Hive data type check in Fragmenter too restrictive
[ https://issues.apache.org/jira/browse/HAWQ-992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Goden Yao updated HAWQ-992: --- Fix Version/s: backlog > PXF Hive data type check in Fragmenter too restrictive > -- > > Key: HAWQ-992 > URL: https://issues.apache.org/jira/browse/HAWQ-992 > Project: Apache HAWQ > Issue Type: Bug > Components: PXF >Reporter: Shivram Mani >Assignee: Goden Yao > Fix For: backlog > > > HiveDataFragmenter used by both HiveText and HiveRC profiles has a very > strict type check. > Hawq type numeric(10,10) is compatible with hive's decimal(10,10) > Hawq type numeric is not compatible with hive's decimal(10,10) > Similar issue exits with other data types which have variable optional > arguments. The type check should be modified to allow hawq type that is a > compabitle type but without optional precision/length arguments to work with > the corresponding hive type. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (HAWQ-992) PXF Hive data type check in Fragmenter too restrictive
[ https://issues.apache.org/jira/browse/HAWQ-992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shivram Mani updated HAWQ-992: -- Summary: PXF Hive data type check in Fragmenter too restrictive (was: PXF Hive data type check in Fragmenter is too strict) > PXF Hive data type check in Fragmenter too restrictive > -- > > Key: HAWQ-992 > URL: https://issues.apache.org/jira/browse/HAWQ-992 > Project: Apache HAWQ > Issue Type: Bug > Components: PXF >Reporter: Shivram Mani >Assignee: Goden Yao > > HiveDataFragmenter used by both HiveText and HiveRC profiles has a very > strict type check. > Hawq type numeric(10,10) is compatible with hive's decimal(10,10) > Hawq type numeric is not compatible with hive's decimal(10,10) > Similar issue exits with other data types which have variable optional > arguments. The type check should be modified to allow hawq type that is a > compabitle type but without optional precision/length arguments to work with > the corresponding hive type. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
