zeroshade commented on issue #2084: URL: https://github.com/apache/arrow-adbc/issues/2084#issuecomment-2297823150
Okay, while the multiple calls to `adbc_ingest` would work, depending on various factors (how many sources, how large the records are, and so on) my recommendation would be to use a [generator/iterator](https://arrow.apache.org/docs/python/data.html#record-batch-readers) to construct a `RecordBatchReader` you can pass to `adbc_ingest` instead. ie. something like the following: ```python def process_record_batches(input): for batch in input: # whatever pre-processing you want to perform on the batch print(batch) yield batch with conn_read.cursor() as cursor_read: with conn_write.cursor() as cursor_write: cursor_read.adbc_statement.set_options(**{"adbc.snowflake.rpc.prefetch_concurrency": 2, "adbc.rpc.result_queue_size": 10}) cursor_read.execute("SELECT * FROM T1") input = cursor_read.fetch_record_batch() reader = pyarrow.RecordBatchReader.from_batches(input.schema, process_record_batches(input)) cursor_write.adbc_ingest("T2", reader, mode="append") ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
