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python/pyspark/sql/connect/proto/pipelines_pb2.pyi

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@@ -605,8 +605,10 @@ class PipelineCommand(google.protobuf.message.Message):
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@property
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def extension(self) -> google.protobuf.any_pb2.Any: ...
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once: builtins.bool
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"""If true, define the flow as a one-time flow, such as for backfill. Set to true changes the flow in two ways:
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- The flow is run one time by default. If the pipeline is ran with a full refresh, the flow will run again.
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"""If true, define the flow as a one-time flow, such as for backfill.
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Set to true changes the flow in two ways:
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- The flow is run one time by default. If the pipeline is ran with a full refresh,
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the flow will run again.
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- The flow function must be a batch DataFrame, not a streaming DataFrame.
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"""
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def __init__(

sql/connect/common/src/main/protobuf/spark/connect/pipelines.proto

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@@ -149,8 +149,10 @@ message PipelineCommand {
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optional spark.connect.Relation relation = 1;
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}
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// If true, define the flow as a one-time flow, such as for backfill. Set to true changes the flow in two ways:
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// - The flow is run one time by default. If the pipeline is ran with a full refresh, the flow will run again.
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// If true, define the flow as a one-time flow, such as for backfill.
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// Set to true changes the flow in two ways:
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// - The flow is run one time by default. If the pipeline is ran with a full refresh,
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// the flow will run again.
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// - The flow function must be a batch DataFrame, not a streaming DataFrame.
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optional bool once = 8;
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