trait AddArtifactsRequestOrBuilder extends MessageOrBuilder
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abstract
def
findInitializationErrors(): List[String]
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abstract
def
getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
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abstract
def
getBatch(): Batch
.spark.connect.AddArtifactsRequest.Batch batch = 3;.spark.connect.AddArtifactsRequest.Batch batch = 3;- returns
The batch.
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abstract
def
getBatchOrBuilder(): BatchOrBuilder
.spark.connect.AddArtifactsRequest.Batch batch = 3; -
abstract
def
getBeginChunk(): BeginChunkedArtifact
The metadata and the initial chunk of a large artifact chunked into multiple requests. The server side is notified about the total size of the large artifact as well as the number of chunks to expect.
The metadata and the initial chunk of a large artifact chunked into multiple requests. The server side is notified about the total size of the large artifact as well as the number of chunks to expect.
.spark.connect.AddArtifactsRequest.BeginChunkedArtifact begin_chunk = 4;- returns
The beginChunk.
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abstract
def
getBeginChunkOrBuilder(): BeginChunkedArtifactOrBuilder
The metadata and the initial chunk of a large artifact chunked into multiple requests. The server side is notified about the total size of the large artifact as well as the number of chunks to expect.
The metadata and the initial chunk of a large artifact chunked into multiple requests. The server side is notified about the total size of the large artifact as well as the number of chunks to expect.
.spark.connect.AddArtifactsRequest.BeginChunkedArtifact begin_chunk = 4; -
abstract
def
getChunk(): ArtifactChunk
A chunk of an artifact excluding metadata. This can be any chunk of a large artifact excluding the first chunk (which is included in `BeginChunkedArtifact`).
A chunk of an artifact excluding metadata. This can be any chunk of a large artifact excluding the first chunk (which is included in `BeginChunkedArtifact`).
.spark.connect.AddArtifactsRequest.ArtifactChunk chunk = 5;- returns
The chunk.
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abstract
def
getChunkOrBuilder(): ArtifactChunkOrBuilder
A chunk of an artifact excluding metadata. This can be any chunk of a large artifact excluding the first chunk (which is included in `BeginChunkedArtifact`).
A chunk of an artifact excluding metadata. This can be any chunk of a large artifact excluding the first chunk (which is included in `BeginChunkedArtifact`).
.spark.connect.AddArtifactsRequest.ArtifactChunk chunk = 5; -
abstract
def
getClientType(): String
Provides optional information about the client sending the request. This field can be used for language or version specific information and is only intended for logging purposes and will not be interpreted by the server.
Provides optional information about the client sending the request. This field can be used for language or version specific information and is only intended for logging purposes and will not be interpreted by the server.
optional string client_type = 6;- returns
The clientType.
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abstract
def
getClientTypeBytes(): ByteString
Provides optional information about the client sending the request. This field can be used for language or version specific information and is only intended for logging purposes and will not be interpreted by the server.
Provides optional information about the client sending the request. This field can be used for language or version specific information and is only intended for logging purposes and will not be interpreted by the server.
optional string client_type = 6;- returns
The bytes for clientType.
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abstract
def
getDefaultInstanceForType(): Message
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abstract
def
getDescriptorForType(): Descriptor
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abstract
def
getField(field: FieldDescriptor): AnyRef
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abstract
def
getInitializationErrorString(): String
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abstract
def
getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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abstract
def
getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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abstract
def
getRepeatedFieldCount(field: FieldDescriptor): Int
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abstract
def
getSessionId(): String
(Required) The session_id specifies a spark session for a user id (which is specified by user_context.user_id). The session_id is set by the client to be able to collate streaming responses from different queries within the dedicated session. The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
(Required) The session_id specifies a spark session for a user id (which is specified by user_context.user_id). The session_id is set by the client to be able to collate streaming responses from different queries within the dedicated session. The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
string session_id = 1;- returns
The sessionId.
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abstract
def
getSessionIdBytes(): ByteString
(Required) The session_id specifies a spark session for a user id (which is specified by user_context.user_id). The session_id is set by the client to be able to collate streaming responses from different queries within the dedicated session. The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
(Required) The session_id specifies a spark session for a user id (which is specified by user_context.user_id). The session_id is set by the client to be able to collate streaming responses from different queries within the dedicated session. The id should be an UUID string of the format `00112233-4455-6677-8899-aabbccddeeff`
string session_id = 1;- returns
The bytes for sessionId.
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abstract
def
getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
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abstract
def
getUserContext(): UserContext
User context
User context
.spark.connect.UserContext user_context = 2;- returns
The userContext.
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abstract
def
getUserContextOrBuilder(): UserContextOrBuilder
User context
User context
.spark.connect.UserContext user_context = 2; -
abstract
def
hasBatch(): Boolean
.spark.connect.AddArtifactsRequest.Batch batch = 3;.spark.connect.AddArtifactsRequest.Batch batch = 3;- returns
Whether the batch field is set.
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abstract
def
hasBeginChunk(): Boolean
The metadata and the initial chunk of a large artifact chunked into multiple requests. The server side is notified about the total size of the large artifact as well as the number of chunks to expect.
The metadata and the initial chunk of a large artifact chunked into multiple requests. The server side is notified about the total size of the large artifact as well as the number of chunks to expect.
.spark.connect.AddArtifactsRequest.BeginChunkedArtifact begin_chunk = 4;- returns
Whether the beginChunk field is set.
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abstract
def
hasChunk(): Boolean
A chunk of an artifact excluding metadata. This can be any chunk of a large artifact excluding the first chunk (which is included in `BeginChunkedArtifact`).
A chunk of an artifact excluding metadata. This can be any chunk of a large artifact excluding the first chunk (which is included in `BeginChunkedArtifact`).
.spark.connect.AddArtifactsRequest.ArtifactChunk chunk = 5;- returns
Whether the chunk field is set.
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abstract
def
hasClientType(): Boolean
Provides optional information about the client sending the request. This field can be used for language or version specific information and is only intended for logging purposes and will not be interpreted by the server.
Provides optional information about the client sending the request. This field can be used for language or version specific information and is only intended for logging purposes and will not be interpreted by the server.
optional string client_type = 6;- returns
Whether the clientType field is set.
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abstract
def
hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
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abstract
def
hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
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abstract
def
hasUserContext(): Boolean
User context
User context
.spark.connect.UserContext user_context = 2;- returns
Whether the userContext field is set.
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abstract
def
isInitialized(): Boolean
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