[
https://issues.apache.org/jira/browse/FLINK-40437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Liu Liu updated FLINK-40437:
----------------------------
Description:
Add incremental row and batch result APIs:
{code:java}
def iter_rows(
self,
*,
include_row_kind=False,
row_kind_field="__row_kind__",
) -> CloseableIterator[Dict[str, Any]]
def iter_batches(
self,
*,
batch_size=1000,
batch_format="pandas",
include_row_kind=False,
row_kind_field="__row_kind__",
) -> CloseableIterator {code}
Also add bounded retrieval helpers:
{code:java}
def take(self, n, *, timeout=None, include_row_kind=False, ...) -> List[Dict]
def take_batch(self, n, *, timeout=None, batch_format="pandas", ...) -> Batch
{code}
was:
Add incremental row and batch result APIs:
{code:java}
def iter_rows(
self,
*,
include_row_kind=False,
row_kind_field="__row_kind__",
) -> CloseableIterator[Dict[str, Any]]
def iter_batches(
self,
*,
batch_size=1000,
batch_format="pandas",
include_row_kind=False,
row_kind_field="__row_kind__",
) -> CloseableIterator {code}
Also add bounded retrieval helpers:
{code:java}
def take(self, n, *, timeout=None, include_row_kind=False, ...) -> List[Dict]
def take_batch(self, n, *, timeout=None, batch_format="pandas", ...) -> Batch
{code}
{{}}
{{}}
> Add iteration and bounded retrieval to DataFrame API
> ----------------------------------------------------
>
> Key: FLINK-40437
> URL: https://issues.apache.org/jira/browse/FLINK-40437
> Project: Flink
> Issue Type: Sub-task
> Components: API / Python
> Reporter: Liu Liu
> Priority: Major
>
> Add incremental row and batch result APIs:
> {code:java}
> def iter_rows(
> self,
> *,
> include_row_kind=False,
> row_kind_field="__row_kind__",
> ) -> CloseableIterator[Dict[str, Any]]
> def iter_batches(
> self,
> *,
> batch_size=1000,
> batch_format="pandas",
> include_row_kind=False,
> row_kind_field="__row_kind__",
> ) -> CloseableIterator {code}
> Also add bounded retrieval helpers:
> {code:java}
> def take(self, n, *, timeout=None, include_row_kind=False, ...) -> List[Dict]
> def take_batch(self, n, *, timeout=None, batch_format="pandas", ...) -> Batch
> {code}
>
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