final class AddArtifactsRequest extends GeneratedMessageV3 with AddArtifactsRequestOrBuilder
Request to transfer client-local artifacts.
Protobuf type spark.connect.AddArtifactsRequest
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getAllFields(): Map[FieldDescriptor, AnyRef]
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def
getBatch(): Batch
.spark.connect.AddArtifactsRequest.Batch batch = 3;.spark.connect.AddArtifactsRequest.Batch batch = 3;- returns
The batch.
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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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- @Override()
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def
getBatchOrBuilder(): BatchOrBuilder
.spark.connect.AddArtifactsRequest.Batch batch = 3;.spark.connect.AddArtifactsRequest.Batch batch = 3;- Definition Classes
- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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- @Override()
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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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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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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;- Definition Classes
- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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- @Override()
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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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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;- Definition Classes
- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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final
def
getClass(): Class[_]
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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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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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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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def
getDefaultInstanceForType(): AddArtifactsRequest
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getDescriptorForType(): Descriptor
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getField(field: FieldDescriptor): AnyRef
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def
getInitializationErrorString(): String
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def
getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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def
getParserForType(): Parser[AddArtifactsRequest]
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def
getPayloadCase(): PayloadCase
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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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def
getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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def
getRepeatedFieldCount(field: FieldDescriptor): Int
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def
getSerializedSize(): Int
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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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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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- @Override()
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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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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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- @Override()
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def
getUnknownFields(): UnknownFieldSet
- Definition Classes
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def
getUserContext(): UserContext
User context
User context
.spark.connect.UserContext user_context = 2;- returns
The userContext.
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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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- @Override()
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def
getUserContextOrBuilder(): UserContextOrBuilder
User context
User context
.spark.connect.UserContext user_context = 2;- Definition Classes
- AddArtifactsRequest → AddArtifactsRequestOrBuilder
- Annotations
- @Override()
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def
hasBatch(): Boolean
.spark.connect.AddArtifactsRequest.Batch batch = 3;.spark.connect.AddArtifactsRequest.Batch batch = 3;- returns
Whether the batch field is set.
- Definition Classes
- AddArtifactsRequest → AddArtifactsRequestOrBuilder
- Annotations
- @Override()
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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.
- Definition Classes
- AddArtifactsRequest → AddArtifactsRequestOrBuilder
- Annotations
- @Override()
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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.
- Definition Classes
- AddArtifactsRequest → AddArtifactsRequestOrBuilder
- Annotations
- @Override()
-
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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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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- @Override()
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def
hasField(field: FieldDescriptor): Boolean
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def
hasOneof(oneof: OneofDescriptor): Boolean
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def
hasUserContext(): Boolean
User context
User context
.spark.connect.UserContext user_context = 2;- returns
Whether the userContext field is set.
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- AddArtifactsRequest → AddArtifactsRequestOrBuilder
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hashCode(): Int
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internalGetFieldAccessorTable(): FieldAccessorTable
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isInitialized(): Boolean
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newBuilderForType(parent: BuilderParent): Builder
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newBuilderForType(): Builder
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