[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Resolution: Fixed Status: Resolved (was: Patch Available) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01-branch-3.patch, HIVE-19435.01.patch, > HIVE-19435.02.patch, HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Patch Available (was: Open) Thanks for the review [~thejas] and [~maheshk114]! Attached 01.patch for branch-3. > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.1.0 > > Attachments: HIVE-19435.01-branch-3.patch, HIVE-19435.01.patch, > HIVE-19435.02.patch, HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Fix Version/s: 3.0.0 > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01-branch-3.patch, HIVE-19435.01.patch, > HIVE-19435.02.patch, HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: HIVE-19435.01-branch-3.patch > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.1.0 > > Attachments: HIVE-19435.01-branch-3.patch, HIVE-19435.01.patch, > HIVE-19435.02.patch, HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Open (was: Patch Available) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.1.0 > > Attachments: HIVE-19435.01-branch-3.patch, HIVE-19435.01.patch, > HIVE-19435.02.patch, HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Fix Version/s: (was: 3.0.0) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch, > HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Patch Available (was: Open) Attached 03.patch for conflicts with master. > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch, > HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Open (was: Patch Available) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch, > HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: HIVE-19435.03.patch > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch, > HIVE-19435.03.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: (was: HIVE-19435.02.patch) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Open (was: Patch Available) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Patch Available (was: Open) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: HIVE-19435.02.patch > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Patch Available (was: Open) Added 02.patch after rebasing with master. > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: HIVE-19435.02.patch > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch, HIVE-19435.02.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Open (was: Patch Available) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Patch Available (was: Open) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: HIVE-19435.01.patch > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Open (was: Patch Available) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: (was: HIVE-19435.01.patch) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Status: Patch Available (was: In Progress) Added 01.patch with * Check if existing table is valid when generating tasks for incremental replication events. * If not valid, then create partitions and load table as if new Table. * If valid, then verify last repl ID to decide if need overwrite or ignore the event. Request [~thejas], [~maheshk114] to please review the same. > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: HIVE-19435.01.patch > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Description: If the incremental dump have drop of partitioned table followed by create/insert on non-partitioned table with same name, doesn't replicate the data. Explained below. Let's say we have a partitioned table T1 which was already replicated to target. DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) After REPL LOAD, T1 doesn't have any data. Same is valid for non-partitioned to partitioned and partition spec mismatch case as well. was: If the incremental dump have drop of partitioned table followed by create/insert on non-partitioned table with same name, doesn't replicate the data. Explained below. Let's say we have a partitioned table T1 which was already replicated to target. DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) After REPL LOAD, T1 doesn't have any data. Same is valid for no-partitioned to partitioned case as well. > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for non-partitioned to partitioned and partition spec mismatch > case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: (was: HIVE-19435.01.patch) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for no-partitioned to partitioned case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated HIVE-19435: -- Labels: DR pull-request-available replication (was: DR replication) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for no-partitioned to partitioned case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Attachment: HIVE-19435.01.patch > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, pull-request-available, replication > Fix For: 3.0.0, 3.1.0 > > Attachments: HIVE-19435.01.patch > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for no-partitioned to partitioned case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
[jira] [Updated] (HIVE-19435) Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type.
[ https://issues.apache.org/jira/browse/HIVE-19435?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sankar Hariappan updated HIVE-19435: Summary: Incremental replication cause data loss if a table is dropped followed by create and insert-into with different partition type. (was: Incremental replication cause data loss if table with same name is dropped followed by create and insert-into with different partition type.) > Incremental replication cause data loss if a table is dropped followed by > create and insert-into with different partition type. > --- > > Key: HIVE-19435 > URL: https://issues.apache.org/jira/browse/HIVE-19435 > Project: Hive > Issue Type: Bug > Components: HiveServer2, repl >Affects Versions: 3.0.0 >Reporter: Sankar Hariappan >Assignee: Sankar Hariappan >Priority: Major > Labels: DR, replication > Fix For: 3.0.0, 3.1.0 > > > If the incremental dump have drop of partitioned table followed by > create/insert on non-partitioned table with same name, doesn't replicate the > data. Explained below. > Let's say we have a partitioned table T1 which was already replicated to > target. > DROP_TABLE(T1)->CREATE_TABLE(T1) (Non-partitioned) -> INSERT(T1)(10) > After REPL LOAD, T1 doesn't have any data. > Same is valid for no-partitioned to partitioned case as well. > -- This message was sent by Atlassian JIRA (v7.6.3#76005)
