Smotrov opened a new issue, #10897:
URL: https://github.com/apache/datafusion/issues/10897
I'm using Rust, meanwhile I'm new to DataFusion.
I need to repartition big dataset which is hundreds of GB. It is stored on
S3 as multiple compressed packet files.
It should be partitioned by the value of a column. Here is what I'm doing
```RUST
// Define the partitioned Listing Table
let listing_options = ListingOptions::new(file_format)
.with_table_partition_cols(part)
.with_target_partitions(1)
.with_file_extension(".ndjson.zst");
ctx.register_listing_table(
"data",
format!("s3://{BUCKET_NAME}/data_lake/data_warehouse"),
listing_options,
Some(schema),
None,
)
.await?;
let df = ctx
.sql(
r#"
SELECT
SUBSTRING("OriginalRequest", 9, 3) as dep, *
FROM data
WHERE
/*partitions predicates here*/
"#,
)
.await?;
let s3 = AmazonS3Builder::new()
.with_bucket_name(save_bucket_name)
.with_region(REGION)
.build()?;
// Register the S3 store in DataFusion context
let path = format!("s3://{save_bucket_name}");
let s3_url = Url::parse(&path).unwrap();
let arc_s3 = Arc::new(s3);
ctx.runtime_env()
.register_object_store(&s3_url, arc_s3.clone());
// Write the data as JSON partitioned by `dep`
let output_path = "s3://my_bucket/output/json/";
//write as JSON to s3
let options = DataFrameWriteOptions::new()
.with_partition_by(vec!["dep".to_string()]);
let mut json_options = JsonOptions::default();
json_options.compression = CompressionTypeVariant::ZSTD;
df
.write_json(&output_path, options, Some(json_options))
.await?;
```
Will it swallow all memory and fail or it will be running in a kind on
streaming format?
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