handmadecode opened a new issue, #2788:
URL: https://github.com/apache/drill/issues/2788
**Describe the bug**
We are using Drill with parquet files where the timestamp columns are in
microseconds. When those columns are displayed, Drill converts the microsecond
values to milliseconds. However, when using a timestamp column in WHERE clauses
it looks like the original microsecond value is used instead of the adjusted
millisecond value when filtering records.
**To Reproduce**
Assume a parquet file a directory "Test" with a column _timestampCol_ having
the type `org.apache.parquet.schema.OriginalType.TIMESTAMP_MICROS`.
Assume there are two records with the values 1673981999806149 and
1674759597743552, respectively, in that column (i.e. the UTC dates
2023-01-17T18:59:59.806149 and 2023-01-26T18:59:57.743552)
1. Execute the query
`SELECT timestampCol FROM dfs.Test;`
The result includes both records, as expected.
2. Execute the query
`SELECT timestampCol FROM dfs.Test WHERE timestampCol <
TO_TIMESTAMP('2023-02-01 00:00:00', 'yyyy-MM-dd HH:mm:ss')`
This produces an empty result although both records have a value less than
the argument.
3. Execute
`SELECT timestampCol FROM dfs.Test WHERE timestampCol >
TO_TIMESTAMP('2023-02-01 00:00:00', 'yyyy-MM-dd HH:mm:ss')`
The result includes both records although neither have a value greater than
the argument.
**Expected behavior**
The query in 2) above should produce a result with both records, and the
query in 3) should produce an empty result.
**Error detail, log output or screenshots**
No errors in the logs
**Drill version**
1.21.0 and master (as of commit 9c401c6).
**Additional context**
Even timestamps long into the future produce results with both records, e.g.:
`SELECT timestampCol FROM dfs.Test WHERE timestampCol >
TO_TIMESTAMP('2502-04-04 00:00:00', 'yyyy-MM-dd HH:mm:ss')`
Manually converting the timestamp column to milliseconds produces the
expected result:
`SELECT timestampCol FROM dfs.Test WHERE
TO_TIMESTAMP(CONVERT_FROM(CONVERT_TO(timestampCol, 'TIMESTAMP_EPOCH'),
'BIGINT')/1000) < TO_TIMESTAMP('2023-02-01 00:00:00', 'yyyy-MM-dd HH:mm:ss')`
produces a result with both records.
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