lintingbin opened a new issue, #10115:
URL: https://github.com/apache/iceberg/issues/10115
### Apache Iceberg version
1.3.1
### Query engine
Spark
### Please describe the bug 🐞
```
CREATE TABLE tmp.iceberg_test3 (
`log_type.string` STRING,
`event_time.string` STRING,
`version.string` STRING,
`version.bigint` BIGINT)
USING iceberg
PARTITIONED BY (truncate(10, `event_time.string`), `log_type.string`)
TBLPROPERTIES (
'write.metadata.metrics.column.event_time.string' = 'truncate(16)',
'write.metadata.metrics.default' = 'none');
```
When creating a table using the provided DDL statement for Iceberg tables, a
bug arises where the metrics calculation for the column event_time.string
becomes erroneous. This issue stems from the transformation applied to column
names during storage in Parquet files. Specifically, the column name
event_time.string undergoes conversion to event_time_x2Estring during the
transformation process within the
AvroSchemaUtil.makeCompatibleName(originalName) code. Consequently, in the
ParquetUtil.java file, when fetching the MetricsMode using the statement
MetricsMode metricsMode = MetricsUtil.metricsMode(fileSchema, metricsConfig,
fieldId), an incorrect MetricsMode is retrieved due to the mismatch between the
provided field name and the one stored in Parquet files.
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