tra-analysis/website/functions/node_modules/google-proto-files/google/bigtable/v2/bigtable.proto

// Copyright 2018 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

syntax = "proto3";

package google.bigtable.v2;

import "google/api/annotations.proto";
import "google/bigtable/v2/data.proto";
import "google/protobuf/wrappers.proto";
import "google/rpc/status.proto";

option csharp_namespace = "Google.Cloud.Bigtable.V2";
option go_package = "google.golang.org/genproto/googleapis/bigtable/v2;bigtable";
option java_multiple_files = true;
option java_outer_classname = "BigtableProto";
option java_package = "com.google.bigtable.v2";
option php_namespace = "Google\\Cloud\\Bigtable\\V2";


// Service for reading from and writing to existing Bigtable tables.
service Bigtable {
  // Streams back the contents of all requested rows in key order, optionally
  // applying the same Reader filter to each. Depending on their size,
  // rows and cells may be broken up across multiple responses, but
  // atomicity of each row will still be preserved. See the
  // ReadRowsResponse documentation for details.
  rpc ReadRows(ReadRowsRequest) returns (stream ReadRowsResponse) {
    option (google.api.http) = {
      post: "/v2/{table_name=projects/*/instances/*/tables/*}:readRows"
      body: "*"
    };
  }

  // Returns a sample of row keys in the table. The returned row keys will
  // delimit contiguous sections of the table of approximately equal size,
  // which can be used to break up the data for distributed tasks like
  // mapreduces.
  rpc SampleRowKeys(SampleRowKeysRequest) returns (stream SampleRowKeysResponse) {
    option (google.api.http) = {
      get: "/v2/{table_name=projects/*/instances/*/tables/*}:sampleRowKeys"
    };
  }

  // Mutates a row atomically. Cells already present in the row are left
  // unchanged unless explicitly changed by `mutation`.
  rpc MutateRow(MutateRowRequest) returns (MutateRowResponse) {
    option (google.api.http) = {
      post: "/v2/{table_name=projects/*/instances/*/tables/*}:mutateRow"
      body: "*"
    };
  }

  // Mutates multiple rows in a batch. Each individual row is mutated
  // atomically as in MutateRow, but the entire batch is not executed
  // atomically.
  rpc MutateRows(MutateRowsRequest) returns (stream MutateRowsResponse) {
    option (google.api.http) = {
      post: "/v2/{table_name=projects/*/instances/*/tables/*}:mutateRows"
      body: "*"
    };
  }

  // Mutates a row atomically based on the output of a predicate Reader filter.
  rpc CheckAndMutateRow(CheckAndMutateRowRequest) returns (CheckAndMutateRowResponse) {
    option (google.api.http) = {
      post: "/v2/{table_name=projects/*/instances/*/tables/*}:checkAndMutateRow"
      body: "*"
    };
  }

  // Modifies a row atomically on the server. The method reads the latest
  // existing timestamp and value from the specified columns and writes a new
  // entry based on pre-defined read/modify/write rules. The new value for the
  // timestamp is the greater of the existing timestamp or the current server
  // time. The method returns the new contents of all modified cells.
  rpc ReadModifyWriteRow(ReadModifyWriteRowRequest) returns (ReadModifyWriteRowResponse) {
    option (google.api.http) = {
      post: "/v2/{table_name=projects/*/instances/*/tables/*}:readModifyWriteRow"
      body: "*"
    };
  }
}

// Request message for Bigtable.ReadRows.
message ReadRowsRequest {
  // The unique name of the table from which to read.
  // Values are of the form
  // `projects/<project>/instances/<instance>/tables/<table>`.
  string table_name = 1;

  // This value specifies routing for replication. If not specified, the
  // "default" application profile will be used.
  string app_profile_id = 5;

  // The row keys and/or ranges to read. If not specified, reads from all rows.
  RowSet rows = 2;

  // The filter to apply to the contents of the specified row(s). If unset,
  // reads the entirety of each row.
  RowFilter filter = 3;

  // The read will terminate after committing to N rows' worth of results. The
  // default (zero) is to return all results.
  int64 rows_limit = 4;
}

// Response message for Bigtable.ReadRows.
message ReadRowsResponse {
  // Specifies a piece of a row's contents returned as part of the read
  // response stream.
  message CellChunk {
    // The row key for this chunk of data.  If the row key is empty,
    // this CellChunk is a continuation of the same row as the previous
    // CellChunk in the response stream, even if that CellChunk was in a
    // previous ReadRowsResponse message.
    bytes row_key = 1;

    // The column family name for this chunk of data.  If this message
    // is not present this CellChunk is a continuation of the same column
    // family as the previous CellChunk.  The empty string can occur as a
    // column family name in a response so clients must check
    // explicitly for the presence of this message, not just for
    // `family_name.value` being non-empty.
    google.protobuf.StringValue family_name = 2;

    // The column qualifier for this chunk of data.  If this message
    // is not present, this CellChunk is a continuation of the same column
    // as the previous CellChunk.  Column qualifiers may be empty so
    // clients must check for the presence of this message, not just
    // for `qualifier.value` being non-empty.
    google.protobuf.BytesValue qualifier = 3;

    // The cell's stored timestamp, which also uniquely identifies it
    // within its column.  Values are always expressed in
    // microseconds, but individual tables may set a coarser
    // granularity to further restrict the allowed values. For
    // example, a table which specifies millisecond granularity will
    // only allow values of `timestamp_micros` which are multiples of
    // 1000.  Timestamps are only set in the first CellChunk per cell
    // (for cells split into multiple chunks).
    int64 timestamp_micros = 4;

    // Labels applied to the cell by a
    // [RowFilter][google.bigtable.v2.RowFilter].  Labels are only set
    // on the first CellChunk per cell.
    repeated string labels = 5;

    // The value stored in the cell.  Cell values can be split across
    // multiple CellChunks.  In that case only the value field will be
    // set in CellChunks after the first: the timestamp and labels
    // will only be present in the first CellChunk, even if the first
    // CellChunk came in a previous ReadRowsResponse.
    bytes value = 6;

    // If this CellChunk is part of a chunked cell value and this is
    // not the final chunk of that cell, value_size will be set to the
    // total length of the cell value.  The client can use this size
    // to pre-allocate memory to hold the full cell value.
    int32 value_size = 7;

    oneof row_status {
      // Indicates that the client should drop all previous chunks for
      // `row_key`, as it will be re-read from the beginning.
      bool reset_row = 8;

      // Indicates that the client can safely process all previous chunks for
      // `row_key`, as its data has been fully read.
      bool commit_row = 9;
    }
  }

  repeated CellChunk chunks = 1;

  // Optionally the server might return the row key of the last row it
  // has scanned.  The client can use this to construct a more
  // efficient retry request if needed: any row keys or portions of
  // ranges less than this row key can be dropped from the request.
  // This is primarily useful for cases where the server has read a
  // lot of data that was filtered out since the last committed row
  // key, allowing the client to skip that work on a retry.
  bytes last_scanned_row_key = 2;
}

// Request message for Bigtable.SampleRowKeys.
message SampleRowKeysRequest {
  // The unique name of the table from which to sample row keys.
  // Values are of the form
  // `projects/<project>/instances/<instance>/tables/<table>`.
  string table_name = 1;

  // This value specifies routing for replication. If not specified, the
  // "default" application profile will be used.
  string app_profile_id = 2;
}

// Response message for Bigtable.SampleRowKeys.
message SampleRowKeysResponse {
  // Sorted streamed sequence of sample row keys in the table. The table might
  // have contents before the first row key in the list and after the last one,
  // but a key containing the empty string indicates "end of table" and will be
  // the last response given, if present.
  // Note that row keys in this list may not have ever been written to or read
  // from, and users should therefore not make any assumptions about the row key
  // structure that are specific to their use case.
  bytes row_key = 1;

  // Approximate total storage space used by all rows in the table which precede
  // `row_key`. Buffering the contents of all rows between two subsequent
  // samples would require space roughly equal to the difference in their
  // `offset_bytes` fields.
  int64 offset_bytes = 2;
}

// Request message for Bigtable.MutateRow.
message MutateRowRequest {
  // The unique name of the table to which the mutation should be applied.
  // Values are of the form
  // `projects/<project>/instances/<instance>/tables/<table>`.
  string table_name = 1;

  // This value specifies routing for replication. If not specified, the
  // "default" application profile will be used.
  string app_profile_id = 4;

  // The key of the row to which the mutation should be applied.
  bytes row_key = 2;

  // Changes to be atomically applied to the specified row. Entries are applied
  // in order, meaning that earlier mutations can be masked by later ones.
  // Must contain at least one entry and at most 100000.
  repeated Mutation mutations = 3;
}

// Response message for Bigtable.MutateRow.
message MutateRowResponse {

}

// Request message for BigtableService.MutateRows.
message MutateRowsRequest {
  message Entry {
    // The key of the row to which the `mutations` should be applied.
    bytes row_key = 1;

    // Changes to be atomically applied to the specified row. Mutations are
    // applied in order, meaning that earlier mutations can be masked by
    // later ones.
    // You must specify at least one mutation.
    repeated Mutation mutations = 2;
  }

  // The unique name of the table to which the mutations should be applied.
  string table_name = 1;

  // This value specifies routing for replication. If not specified, the
  // "default" application profile will be used.
  string app_profile_id = 3;

  // The row keys and corresponding mutations to be applied in bulk.
  // Each entry is applied as an atomic mutation, but the entries may be
  // applied in arbitrary order (even between entries for the same row).
  // At least one entry must be specified, and in total the entries can
  // contain at most 100000 mutations.
  repeated Entry entries = 2;
}

// Response message for BigtableService.MutateRows.
message MutateRowsResponse {
  message Entry {
    // The index into the original request's `entries` list of the Entry
    // for which a result is being reported.
    int64 index = 1;

    // The result of the request Entry identified by `index`.
    // Depending on how requests are batched during execution, it is possible
    // for one Entry to fail due to an error with another Entry. In the event
    // that this occurs, the same error will be reported for both entries.
    google.rpc.Status status = 2;
  }

  // One or more results for Entries from the batch request.
  repeated Entry entries = 1;
}

// Request message for Bigtable.CheckAndMutateRow.
message CheckAndMutateRowRequest {
  // The unique name of the table to which the conditional mutation should be
  // applied.
  // Values are of the form
  // `projects/<project>/instances/<instance>/tables/<table>`.
  string table_name = 1;

  // This value specifies routing for replication. If not specified, the
  // "default" application profile will be used.
  string app_profile_id = 7;

  // The key of the row to which the conditional mutation should be applied.
  bytes row_key = 2;

  // The filter to be applied to the contents of the specified row. Depending
  // on whether or not any results are yielded, either `true_mutations` or
  // `false_mutations` will be executed. If unset, checks that the row contains
  // any values at all.
  RowFilter predicate_filter = 6;

  // Changes to be atomically applied to the specified row if `predicate_filter`
  // yields at least one cell when applied to `row_key`. Entries are applied in
  // order, meaning that earlier mutations can be masked by later ones.
  // Must contain at least one entry if `false_mutations` is empty, and at most
  // 100000.
  repeated Mutation true_mutations = 4;

  // Changes to be atomically applied to the specified row if `predicate_filter`
  // does not yield any cells when applied to `row_key`. Entries are applied in
  // order, meaning that earlier mutations can be masked by later ones.
  // Must contain at least one entry if `true_mutations` is empty, and at most
  // 100000.
  repeated Mutation false_mutations = 5;
}

// Response message for Bigtable.CheckAndMutateRow.
message CheckAndMutateRowResponse {
  // Whether or not the request's `predicate_filter` yielded any results for
  // the specified row.
  bool predicate_matched = 1;
}

// Request message for Bigtable.ReadModifyWriteRow.
message ReadModifyWriteRowRequest {
  // The unique name of the table to which the read/modify/write rules should be
  // applied.
  // Values are of the form
  // `projects/<project>/instances/<instance>/tables/<table>`.
  string table_name = 1;

  // This value specifies routing for replication. If not specified, the
  // "default" application profile will be used.
  string app_profile_id = 4;

  // The key of the row to which the read/modify/write rules should be applied.
  bytes row_key = 2;

  // Rules specifying how the specified row's contents are to be transformed
  // into writes. Entries are applied in order, meaning that earlier rules will
  // affect the results of later ones.
  repeated ReadModifyWriteRule rules = 3;
}

// Response message for Bigtable.ReadModifyWriteRow.
message ReadModifyWriteRowResponse {
  // A Row containing the new contents of all cells modified by the request.
  Row row = 1;
}