是的,Apache Parquet支持对重复值的自定义筛选谓词。
以下是一个使用示例:
public class CustomFilterPredicate implements FilterPredicate.Visitor {
@Override
public Boolean visit(And and) {
return and.getLeft().accept(this) && and.getRight().accept(this);
}
@Override
public Boolean visit(Or or) {
return or.getLeft().accept(this) || or.getRight().accept(this);
}
@Override
public Boolean visit(ColumnReference columnReference) {
return "my_column".equalsIgnoreCase(columnReference.getColumn().getName());
}
@Override
public Boolean visit(Not not) {
return !not.getPredicate().accept(this);
}
@Override
public Boolean visit(Lt lt) {
return false;
}
@Override
public Boolean visit(Gt gt) {
return false;
}
// ...
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
Path filePath = new Path("path/to/parquet/file");
FileSystem fs = FileSystem.get(filePath.toUri(), conf);
try (ParquetReader reader = AvroParquetReader.builder(filePath)
.withConf(conf)
.build()) {
FilterPredicate customFilterPredicate = new CustomFilterPredicate();
FilterPredicate columnFilter = customFilterPredicate;
MessageType schema = reader.getFooter().getFileMetaData().getSchema();
if (ParquetPartitionNameHelper.ColumnIndexOf("my_column", schema) == -1) {
throw new IllegalArgumentException("Column my_column doesn't exist in " + filePath);
}
SimpleFilterPredicate myColumnFilter =
lt("my_column", Binary.fromString("my_value"));
// Combine custom filter with the Parquet filter for my_column
if (columnFilter == null) {
columnFilter = myColumnFilter;
} else {
columnFilter = and(columnFilter, myColumnFilter);
}
if (columnFilter != null) {
reader.setFilter(columnFilter);
}
GenericRecord record;
while ((record = reader.read()) != null) {
System.out.println(record.toString());
}
}
}
}
在此示例中,我们创建了一个名为CustomFilterPredicate的类,该类实现了Parquet的FilterPredicate.Visitor接口,以定义自己的筛选逻辑。
然后,我们创建了一个FilterPredicate实例myColumnFilter,其中包含我们希望匹配my_column列的过滤器条件。在此示例中,我们使用了Simple