[jira] [Updated] (SPARK-4605) Proposed Contribution: Spark Kernel to enable interactive Spark applications
[ https://issues.apache.org/jira/browse/SPARK-4605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Josh Rosen updated SPARK-4605: -- Component/s: (was: Project Infra) Proposed Contribution: Spark Kernel to enable interactive Spark applications Key: SPARK-4605 URL: https://issues.apache.org/jira/browse/SPARK-4605 Project: Spark Issue Type: New Feature Reporter: Chip Senkbeil Attachments: Kernel Architecture Widescreen.pdf, Kernel Architecture.pdf Project available on Github: https://github.com/ibm-et/spark-kernel This architecture is describing running kernel code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. -- 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] [Updated] (SPARK-4605) Proposed Contribution: Spark Kernel to enable interactive Spark applications
[ https://issues.apache.org/jira/browse/SPARK-4605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-4605: - Component/s: Project Infra Proposed Contribution: Spark Kernel to enable interactive Spark applications Key: SPARK-4605 URL: https://issues.apache.org/jira/browse/SPARK-4605 Project: Spark Issue Type: New Feature Components: Project Infra Reporter: Chip Senkbeil Attachments: Kernel Architecture Widescreen.pdf, Kernel Architecture.pdf Project available on Github: https://github.com/ibm-et/spark-kernel This architecture is describing running kernel code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. -- 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] [Updated] (SPARK-4605) Proposed Contribution: Spark Kernel to enable interactive Spark applications
[ https://issues.apache.org/jira/browse/SPARK-4605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chip Senkbeil updated SPARK-4605: - Description: Project available on Github: https://github.com/ibm-et/spark-kernel This architecture is describing running kernel code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. was: This architecture is describing running kernel code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. Proposed Contribution: Spark Kernel to enable interactive Spark applications Key: SPARK-4605 URL: https://issues.apache.org/jira/browse/SPARK-4605 Project: Spark Issue Type: New Feature Reporter: Chip Senkbeil Attachments: Kernel Architecture Widescreen.pdf, Kernel Architecture.pdf Project available on Github: https://github.com/ibm-et/spark-kernel This architecture is describing running kernel code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. -- 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] [Updated] (SPARK-4605) Proposed Contribution: Spark Kernel to enable interactive Spark applications
[ https://issues.apache.org/jira/browse/SPARK-4605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chip Senkbeil updated SPARK-4605: - Summary: Proposed Contribution: Spark Kernel to enable interactive Spark applications (was: Proposal: Spark Kernel to enable interactive Spark applications) Proposed Contribution: Spark Kernel to enable interactive Spark applications Key: SPARK-4605 URL: https://issues.apache.org/jira/browse/SPARK-4605 Project: Spark Issue Type: New Feature Reporter: Chip Senkbeil Attachments: Kernel Architecture Widescreen.pdf, Kernel Architecture.pdf This architecture is describing running code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. -- 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] [Updated] (SPARK-4605) Proposed Contribution: Spark Kernel to enable interactive Spark applications
[ https://issues.apache.org/jira/browse/SPARK-4605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chip Senkbeil updated SPARK-4605: - Description: This architecture is describing running kernel code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. was: This architecture is describing running code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. Proposed Contribution: Spark Kernel to enable interactive Spark applications Key: SPARK-4605 URL: https://issues.apache.org/jira/browse/SPARK-4605 Project: Spark Issue Type: New Feature Reporter: Chip Senkbeil Attachments: Kernel Architecture Widescreen.pdf, Kernel Architecture.pdf This architecture is describing running kernel code that was demonstrated at the StrataConf in Barcelona, Spain. Enables applications to interact with a Spark cluster using Scala in several ways: * Defining and running core Spark Tasks * Collecting results from a cluster without needing to write to external data store ** Ability to stream results using well-defined protocol * Arbitrary Scala code definition and execution (without submitting heavy-weight jars) Applications can be hosted and managed separate from the Spark cluster using the kernel as a proxy to communicate requests. The Spark Kernel implements the server side of the IPython Kernel protocol, the rising “de-facto” protocol for language (Python, Haskell, etc.) execution. Inherits a suite of industry adopted clients such as the IPython Notebook. -- 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
