cccs-jc opened a new issue, #10022:
URL: https://github.com/apache/iceberg/issues/10022
### Apache Iceberg version
1.5.0 (latest release)
### Query engine
Spark
### Please describe the bug 🐞
I have a table of IP flow data. The src_ipv4 and dst_ipv4 columns are of
type long.
I can zorder sort this table like so:
```sql
CALL users.system.rewrite_data_files(
table => 'users.jcc.flow',
options => map('max-concurrent-file-group-rewrites', '20',
'partial-progress.enabled', 'true',
'rewrite-all', 'true'),
strategy => 'sort',
sort_order => 'zorder(src_ipv4, dst_ipv4)'
)
```
However, IP can be IPv6, so the table also has a src_ipv6 and dst_ipv6
column of type BINARY. When the src IP is a v4, then src_ipv6 is null. When the
src IP is a v6, then src_ipv4 is null. zordering with null v4 works just fine.
But not with the v6.
Running this statement fails. This is the same statement as above with an
added zorder(src_ipv6, dst_ipv6).
```sql
CALL users.system.rewrite_data_files(
table => 'users.jcc.flow',
options => map('max-concurrent-file-group-rewrites', '20',
'partial-progress.enabled', 'true',
'rewrite-all', 'true'),
strategy => 'sort',
sort_order => 'zorder(src_ipv4, dst_ipv4), zorder(src_ipv6,
dst_ipv6)'
)
```
When I run that statement I get the following error.
```
[FAILED_EXECUTE_UDF] Failed to execute user defined function (`BYTE-TRUNCATE
(functions$$$Lambda$1091/0x00007f88b08cccc8)`: (binary) => binary).
Caused by: java.lang.NullPointerException: Cannot read the array length
because "val" is null
at
org.apache.iceberg.util.ZOrderByteUtils.byteTruncateOrFill(ZOrderByteUtils.java:148)
at
org.apache.iceberg.spark.actions.SparkZOrderUDF.lambda$bytesTruncateUDF$f2cd8334$1(SparkZOrderUDF.java:269)
```
Seems like there is a check missing for null BINARY values.
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