[jira] [Updated] (HADOOP-11849) There should be a JUnit test runner which automatically initializes the mini cluster

[ https://issues.apache.org/jira/browse/HADOOP-11849?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11849: --- Description: Setting up the mini cluster is not a big deal, but when writing a larger amount of

[jira] [Created] (HADOOP-11849) There should be a JUnit test runner which automatically initializes the mini cluster

Jens Rabe created HADOOP-11849: -- Summary: There should be a JUnit test runner which automatically initializes the mini cluster Key: HADOOP-11849 URL: https://issues.apache.org/jira/browse/HADOOP-11849

[jira] [Moved] (HADOOP-11561) It should be possible to chain-load multiple MapFiles on the fly and read the records in an ascending order

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe moved MAPREDUCE-6218 to HADOOP-11561: --- Key: HADOOP-11561 (was: MAPREDUCE-6218) Project: Hadoop

[jira] [Commented] (HADOOP-11561) It should be possible to chain-load multiple MapFiles on the fly and read the records in an ascending order

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14310688#comment-14310688 ] Jens Rabe commented on HADOOP-11561: I posted this in the wrong category, as

[jira] [Assigned] (HADOOP-11561) It should be possible to chain-load multiple MapFiles on the fly and read the records in an ascending order

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe reassigned HADOOP-11561: -- Assignee: Jens Rabe It should be possible to chain-load multiple MapFiles on the fly and

[jira] [Updated] (HADOOP-11561) It should be possible to chain-load multiple MapFiles on the fly and read the records in an ascending order

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Attachment: HADOOP-11561.patch It should be possible to chain-load multiple MapFiles on the fly

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Summary: Join multiple files on the fly and read the records in order with a client (was: Join

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Description: In a scenario where there are many files which all share the same key/value types,

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Status: In Progress (was: Patch Available) FindBugs warnings are, again, unrelated, release audit

[jira] [Updated] (HADOOP-11561) It should be possible to chain-load multiple MapFiles on the fly and read the records in an ascending order

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Labels: composite (was: mapfile) Status: Patch Available (was: Open) See

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Status: Open (was: Patch Available) Outputted the patch the wrong way, will add another Join

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Status: Patch Available (was: In Progress) [^HADOOP-11561.003.patch] adds the Apache License

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Attachment: HADOOP-11561.003.patch Join multiple files on the fly and read the records in order

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Status: Patch Available (was: Open) Outputted the patch again with the correct settings as

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Attachment: HADOOP-11561.002.patch Join multiple files on the fly and read the records in order

[jira] [Work logged] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?focusedWorklogId=19157page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-19157 ] Jens Rabe logged work on HADOOP-11561: -- Author: Jens Rabe

[jira] [Updated] (HADOOP-11561) Join multiple files on the fly and read the records in order with a client

[ https://issues.apache.org/jira/browse/HADOOP-11561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jens Rabe updated HADOOP-11561: --- Description: In a scenario where there are many files which all share the same key/value types,