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Posted to issues@kudu.apache.org by "YifanZhang (Jira)" <ji...@apache.org> on 2020/10/09 11:16:00 UTC
[jira] [Updated] (KUDU-3198) Unable to delete a full row from a
table with 64 columns when using java client
[ https://issues.apache.org/jira/browse/KUDU-3198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
YifanZhang updated KUDU-3198:
-----------------------------
Description:
We recently got an error when deleted full rows from a table with 64 columns using sparkSQL, however if we delete a column from the table, this error will not appear. The error is:
{code:java}
Failed to write at least 1000 rows to Kudu; Sample errors: Not implemented: Unknown row operation type (error 0){code}
I tested this by deleting a full row from a table with 64 column using java client 1.12.0/1.13.0, if the row is set NULL for some columns, I got an error:
{code:java}
Row error for primary key=[-128, 0, 0, 1], tablet=null, server=d584b3407ea444519e91b32f2744b162, status=Invalid argument: DELETE should not have a value for column: c63 STRING NULLABLE (error 0)
{code}
if the row is set values for all columns , I got an error like:
{code:java}
Row error for primary key=[-128, 0, 0, 1], tablet=null, server=null, status=Corruption: Not enough data for column: c63 STRING NULLABLE (error 0)
{code}
I also tested this with tables with different number of columns. The weird thing is I could delete full rows from a table with 8/16/32/63/65 columns, but couldn't do this if the table has 64/128 columns.
was:
We recently got an error when deleted full rows from a table with 64 columns using sparkSQL, however if we delete a column, this error will not appear. The error is:
{code:java}
Failed to write at least 1000 rows to Kudu; Sample errors: Not implemented: Unknown row operation type (error 0){code}
I tested this by deleting a full row from a table with 64 column using java client 1.12.0/1.13.0, if the row is set NULL for some columns, I got an error:
{code:java}
Row error for primary key=[-128, 0, 0, 1], tablet=null, server=d584b3407ea444519e91b32f2744b162, status=Invalid argument: DELETE should not have a value for column: c63 STRING NULLABLE (error 0)
{code}
if the row is set values for all columns , I got an error like:
{code:java}
Row error for primary key=[-128, 0, 0, 1], tablet=null, server=null, status=Corruption: Not enough data for column: c63 STRING NULLABLE (error 0)
{code}
I also tested this with tables with different number of columns. The weird thing is I could delete full rows from a table with 8/16/32/63/65 columns, but couldn't do this if the table has 64/128 columns.
> Unable to delete a full row from a table with 64 columns when using java client
> -------------------------------------------------------------------------------
>
> Key: KUDU-3198
> URL: https://issues.apache.org/jira/browse/KUDU-3198
> Project: Kudu
> Issue Type: Bug
> Components: java
> Affects Versions: 1.12.0, 1.13.0
> Reporter: YifanZhang
> Priority: Major
>
> We recently got an error when deleted full rows from a table with 64 columns using sparkSQL, however if we delete a column from the table, this error will not appear. The error is:
> {code:java}
> Failed to write at least 1000 rows to Kudu; Sample errors: Not implemented: Unknown row operation type (error 0){code}
> I tested this by deleting a full row from a table with 64 column using java client 1.12.0/1.13.0, if the row is set NULL for some columns, I got an error:
> {code:java}
> Row error for primary key=[-128, 0, 0, 1], tablet=null, server=d584b3407ea444519e91b32f2744b162, status=Invalid argument: DELETE should not have a value for column: c63 STRING NULLABLE (error 0)
> {code}
> if the row is set values for all columns , I got an error like:
> {code:java}
> Row error for primary key=[-128, 0, 0, 1], tablet=null, server=null, status=Corruption: Not enough data for column: c63 STRING NULLABLE (error 0)
> {code}
> I also tested this with tables with different number of columns. The weird thing is I could delete full rows from a table with 8/16/32/63/65 columns, but couldn't do this if the table has 64/128 columns.
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