[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bowen Li updated FLINK-10556: - Fix Version/s: 1.10.0 > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Connectors / Hive, Table SQL / Ecosystem >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Fix For: 1.10.0 > > Attachments: Proposal_ Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Aljoscha Krettek updated FLINK-10556: - Component/s: (was: Table SQL / API) Table SQL / Ecosystem > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Connectors / Hive, Table SQL / Ecosystem >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Proposal_ Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Robert Metzger updated FLINK-10556: --- Component/s: (was: SQL / Client) (was: Batch Connectors and Input/Output Formats) Connectors / Hive > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: API / Table SQL, Connectors / Hive >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Proposal_ Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated FLINK-10556: Attachment: (was: Flink-Hive Metastore Connectivity Design.pdf) > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Proposal_ Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bowen Li updated FLINK-10556: - Labels: (was: pull-request-available) > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Flink-Hive Metastore Connectivity Design.pdf, Proposal_ > Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated FLINK-10556: --- Labels: pull-request-available (was: ) > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Labels: pull-request-available > Attachments: Flink-Hive Metastore Connectivity Design.pdf, Proposal_ > Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated FLINK-10556: Attachment: (was: Flink-Hive Metastore Connectivity Design.pdf) > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Flink-Hive Metastore Connectivity Design.pdf, Proposal_ > Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated FLINK-10556: Attachment: Flink-Hive Metastore Connectivity Design.pdf > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Flink-Hive Metastore Connectivity Design.pdf, Proposal_ > Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated FLINK-10556: Attachment: Flink-Hive Metastore Connectivity Design.pdf > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Flink-Hive Metastore Connectivity Design.pdf, Proposal_ > Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated FLINK-10556: Attachment: (was: Proposal_ Integrate Flink with Hive Ecosystem.pdf) > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Proposal_ Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated FLINK-10556: Attachment: Proposal_ Integrate Flink with Hive Ecosystem.pdf > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Proposal_ Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated FLINK-10556: Attachment: Proposal_ Integrate Flink with Hive Ecosystem.pdf > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > Attachments: Proposal_ Integrate Flink with Hive Ecosystem.pdf > > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (FLINK-10556) Integration with Apache Hive
[ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Rong Rong updated FLINK-10556: -- Description: This is an umbrella JIRA tracking all enhancement and issues related to integrating Flink with Hive ecosystem. This is an outcome of a discussion in the community, and thanks go to everyone that provided feedback and interest. Specifically, we'd like to see the following features and capabilities immediately in Flink: # Metadata interoperability # Data interoperability # Data type compatibility # Hive UDF support # DDL/DML/Query language compatibility For a longer term, we'd also like to add or improve: # Compatible SQL service, client tools, JDBC/ODBC drivers # Better task failure tolerance and task scheduling # Support other user customizations in Hive (storage handlers, serdes, etc). I will provide more details regarding the proposal in a doc shortly. Design doc, if deemed necessary, will be provided in each related sub tasks under this JIRA. Feedback and contributions are greatly welcome! was: This is an umbrella JIRA tracking all enhancement and issues related to integrating Flink with Hive ecosystem. This is an outcome of a discussion in the community, and thanks go to everyone that provided feedback and interest. Specifically, we'd like to see the following features and capabilities immediately in Flink: # Detadata interoperability # Data interoperability # Data type compatibility # Hive UDF support # DDL/DML/Query language compatibility For a longer term, we'd also like to add or improve: # Compatible SQL service, client tools, JDBC/ODBC drivers # Better task failure tolerance and task scheduling # Support other user customizations in Hive (storage handlers, serdes, etc). I will provide more details regarding the proposal in a doc shortly. Design doc, if deemed necessary, will be provided in each related sub tasks under this JIRA. Feedback and contributions are greatly welcome! > Integration with Apache Hive > > > Key: FLINK-10556 > URL: https://issues.apache.org/jira/browse/FLINK-10556 > Project: Flink > Issue Type: New Feature > Components: Batch Connectors and Input/Output Formats, SQL Client, > Table API SQL >Affects Versions: 1.6.0 >Reporter: Xuefu Zhang >Assignee: Xuefu Zhang >Priority: Major > > This is an umbrella JIRA tracking all enhancement and issues related to > integrating Flink with Hive ecosystem. This is an outcome of a discussion in > the community, and thanks go to everyone that provided feedback and interest. > Specifically, we'd like to see the following features and capabilities > immediately in Flink: > # Metadata interoperability > # Data interoperability > # Data type compatibility > # Hive UDF support > # DDL/DML/Query language compatibility > For a longer term, we'd also like to add or improve: > # Compatible SQL service, client tools, JDBC/ODBC drivers > # Better task failure tolerance and task scheduling > # Support other user customizations in Hive (storage handlers, serdes, etc). > I will provide more details regarding the proposal in a doc shortly. Design > doc, if deemed necessary, will be provided in each related sub tasks under > this JIRA. > Feedback and contributions are greatly welcome! -- This message was sent by Atlassian JIRA (v7.6.3#76005)
