Hi all,
Recently I played around the partitioned Iceberg table in Spark, and
realized it requires manual sort. I had to google to find a workaround - I
guess there's no documentation unless I'm missing something.
While I encountered this with a DataFrame writer, I suspect there would be
more
The problem is in a new test, so merging or rebasing probably won't help.
I'll run the tests and see if I can reproduce the error in my environment.
On Wed, Sep 16, 2020 at 11:26 AM Mass Dosage wrote:
> This is what it's failing with right?
>
> org.apache.iceberg.hadoop.TestHadoopCatalog >
This is what it's failing with right?
org.apache.iceberg.hadoop.TestHadoopCatalog > testVersionHintFile FAILED
org.apache.iceberg.exceptions.NoSuchTableException: Table does not
exist: tbl
at
org.apache.iceberg.BaseMetastoreCatalog.loadTable(BaseMetastoreCatalog.java:108)
at
Hi Team,
Struggling with a PR (https://github.com/apache/iceberg/pull/1465) where a test
is green on my runs in IntelliJ, and also green if I run the test with command
line, and I even run them successfully on linux with the command:
./gradlew :iceberg-core:test
The problem is that the test
Hi Iceberg Dev,
We are looking into Iceberg for a data lake solution to replace a legacy
system been there for many years. Our data(~10+PB in total) is time-series
tabular data. We built a proof-of-concept earlier, which ended up with a
very similar design like Iceberg, especially on the table
Thanks @torres, it works for me!
On Wed, Sep 16, 2020 at 7:33 AM Gustavo Torres Torres
wrote:
> I believe you can see all snapshots available from a table by running:
>
> SELECT *
> FROM my_db."my_table$snapshots"
>
> From there you can get all different snapshot_id available. Then you can
>