k-bx opened a new issue, #7180:
URL: https://github.com/apache/arrow-rs/issues/7180
At the moment I do this:
```rust
use arrow::array::{Int64Array, StringArray};
use arrow::datatypes::{DataType, Field, Schema};
use arrow::record_batch::RecordBatch;
use parquet_derive::ParquetRecordWriter;
use std::sync::Arc;
#[derive(ParquetRecordWriter)]
pub struct Mavlog {
pub id: String,
pub headers: Option<String>,
pub data: Option<String>,
pub created_at: i64,
}
pub fn mk_batch(mavlogs: &[Mavlog]) -> anyhow::Result<RecordBatch> {
// Map struct fields into Arrow arrays
let id_vals: Vec<&str> = mavlogs.iter().map(|m| m.id.as_str()).collect();
let id_array = StringArray::from(id_vals);
let headers_vals: Vec<Option<&str>> = mavlogs.iter().map(|m|
m.headers.as_deref()).collect();
let headers_array = StringArray::from(headers_vals);
let data_vals: Vec<Option<&str>> = mavlogs.iter().map(|m|
m.data.as_deref()).collect();
let data_array = StringArray::from(data_vals);
let created_vals: Vec<i64> = mavlogs.iter().map(|m|
m.created_at).collect();
let created_array = Int64Array::from(created_vals);
// Build a schema matching the batch macro structure
let schema = Schema::new(vec![
Field::new("id", DataType::Utf8, false),
Field::new("headers", DataType::Utf8, true),
Field::new("data", DataType::Utf8, true),
Field::new("created_at", DataType::Int64, false),
]);
let batch = RecordBatch::try_new(Arc::new(schema), vec![
Arc::new(id_array),
Arc::new(headers_array),
Arc::new(data_array),
Arc::new(created_array),
])?;
Ok(batch)
}
```
Would be nice to derive this capability.
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