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  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You 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.
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  #
  
  """Generated message classes for bigquery version v2.
  
  A data platform for customers to create, manage, share and query data.
  """
  # NOTE: This file is autogenerated and should not be edited by hand.
  
  from apitools.base.protorpclite import messages as _messages
  from apitools.base.py import encoding
  from apitools.base.py import extra_types
  
  
  package = 'bigquery'
  
  
  class BigqueryDatasetsDeleteRequest(_messages.Message):
    """A BigqueryDatasetsDeleteRequest object.
  
    Fields:
      datasetId: Dataset ID of dataset being deleted
      deleteContents: If True, delete all the tables in the dataset. If False
        and the dataset contains tables, the request will fail. Default is False
      projectId: Project ID of the dataset being deleted
    """
  
    datasetId = _messages.StringField(1, required=True)
    deleteContents = _messages.BooleanField(2)
    projectId = _messages.StringField(3, required=True)
  
  
  class BigqueryDatasetsDeleteResponse(_messages.Message):
    """An empty BigqueryDatasetsDelete response."""
  
  
  class BigqueryDatasetsGetRequest(_messages.Message):
    """A BigqueryDatasetsGetRequest object.
  
    Fields:
      datasetId: Dataset ID of the requested dataset
      projectId: Project ID of the requested dataset
    """
  
    datasetId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
  
  
  class BigqueryDatasetsInsertRequest(_messages.Message):
    """A BigqueryDatasetsInsertRequest object.
  
    Fields:
      dataset: A Dataset resource to be passed as the request body.
      projectId: Project ID of the new dataset
    """
  
    dataset = _messages.MessageField('Dataset', 1)
    projectId = _messages.StringField(2, required=True)
  
  
  class BigqueryDatasetsListRequest(_messages.Message):
    """A BigqueryDatasetsListRequest object.
  
    Fields:
      all: Whether to list all datasets, including hidden ones
      maxResults: The maximum number of results to return
      pageToken: Page token, returned by a previous call, to request the next
        page of results
      projectId: Project ID of the datasets to be listed
    """
  
    all = _messages.BooleanField(1)
    maxResults = _messages.IntegerField(2, variant=_messages.Variant.UINT32)
    pageToken = _messages.StringField(3)
    projectId = _messages.StringField(4, required=True)
  
  
  class BigqueryDatasetsPatchRequest(_messages.Message):
    """A BigqueryDatasetsPatchRequest object.
  
    Fields:
      dataset: A Dataset resource to be passed as the request body.
      datasetId: Dataset ID of the dataset being updated
      projectId: Project ID of the dataset being updated
    """
  
    dataset = _messages.MessageField('Dataset', 1)
    datasetId = _messages.StringField(2, required=True)
    projectId = _messages.StringField(3, required=True)
  
  
  class BigqueryDatasetsUpdateRequest(_messages.Message):
    """A BigqueryDatasetsUpdateRequest object.
  
    Fields:
      dataset: A Dataset resource to be passed as the request body.
      datasetId: Dataset ID of the dataset being updated
      projectId: Project ID of the dataset being updated
    """
  
    dataset = _messages.MessageField('Dataset', 1)
    datasetId = _messages.StringField(2, required=True)
    projectId = _messages.StringField(3, required=True)
  
  
  class BigqueryJobsCancelRequest(_messages.Message):
    """A BigqueryJobsCancelRequest object.
  
    Fields:
      jobId: [Required] Job ID of the job to cancel
      projectId: [Required] Project ID of the job to cancel
    """
  
    jobId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
  
  
  class BigqueryJobsGetQueryResultsRequest(_messages.Message):
    """A BigqueryJobsGetQueryResultsRequest object.
  
    Fields:
      jobId: [Required] Job ID of the query job
      maxResults: Maximum number of results to read
      pageToken: Page token, returned by a previous call, to request the next
        page of results
      projectId: [Required] Project ID of the query job
      startIndex: Zero-based index of the starting row
      timeoutMs: How long to wait for the query to complete, in milliseconds,
        before returning. Default is 10 seconds. If the timeout passes before
        the job completes, the 'jobComplete' field in the response will be false
    """
  
    jobId = _messages.StringField(1, required=True)
    maxResults = _messages.IntegerField(2, variant=_messages.Variant.UINT32)
    pageToken = _messages.StringField(3)
    projectId = _messages.StringField(4, required=True)
    startIndex = _messages.IntegerField(5, variant=_messages.Variant.UINT64)
    timeoutMs = _messages.IntegerField(6, variant=_messages.Variant.UINT32)
  
  
  class BigqueryJobsGetRequest(_messages.Message):
    """A BigqueryJobsGetRequest object.
  
    Fields:
      jobId: [Required] Job ID of the requested job
      projectId: [Required] Project ID of the requested job
    """
  
    jobId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
  
  
  class BigqueryJobsInsertRequest(_messages.Message):
    """A BigqueryJobsInsertRequest object.
  
    Fields:
      job: A Job resource to be passed as the request body.
      projectId: Project ID of the project that will be billed for the job
    """
  
    job = _messages.MessageField('Job', 1)
    projectId = _messages.StringField(2, required=True)
  
  
  class BigqueryJobsListRequest(_messages.Message):
    """A BigqueryJobsListRequest object.
  
    Enums:
      ProjectionValueValuesEnum: Restrict information returned to a set of
        selected fields
      StateFilterValueValuesEnum: Filter for job state
  
    Fields:
      allUsers: Whether to display jobs owned by all users in the project.
        Default false
      maxResults: Maximum number of results to return
      pageToken: Page token, returned by a previous call, to request the next
        page of results
      projectId: Project ID of the jobs to list
      projection: Restrict information returned to a set of selected fields
      stateFilter: Filter for job state
    """
  
    class ProjectionValueValuesEnum(_messages.Enum):
      """Restrict information returned to a set of selected fields
  
      Values:
        full: Includes all job data
        minimal: Does not include the job configuration
      """
      full = 0
      minimal = 1
  
    class StateFilterValueValuesEnum(_messages.Enum):
      """Filter for job state
  
      Values:
        done: Finished jobs
        pending: Pending jobs
        running: Running jobs
      """
      done = 0
      pending = 1
      running = 2
  
    allUsers = _messages.BooleanField(1)
    maxResults = _messages.IntegerField(2, variant=_messages.Variant.UINT32)
    pageToken = _messages.StringField(3)
    projectId = _messages.StringField(4, required=True)
    projection = _messages.EnumField('ProjectionValueValuesEnum', 5)
    stateFilter = _messages.EnumField('StateFilterValueValuesEnum', 6, repeated=True)
  
  
  class BigqueryJobsQueryRequest(_messages.Message):
    """A BigqueryJobsQueryRequest object.
  
    Fields:
      projectId: Project ID of the project billed for the query
      queryRequest: A QueryRequest resource to be passed as the request body.
    """
  
    projectId = _messages.StringField(1, required=True)
    queryRequest = _messages.MessageField('QueryRequest', 2)
  
  
  class BigqueryProjectsListRequest(_messages.Message):
    """A BigqueryProjectsListRequest object.
  
    Fields:
      maxResults: Maximum number of results to return
      pageToken: Page token, returned by a previous call, to request the next
        page of results
    """
  
    maxResults = _messages.IntegerField(1, variant=_messages.Variant.UINT32)
    pageToken = _messages.StringField(2)
  
  
  class BigqueryTabledataInsertAllRequest(_messages.Message):
    """A BigqueryTabledataInsertAllRequest object.
  
    Fields:
      datasetId: Dataset ID of the destination table.
      projectId: Project ID of the destination table.
      tableDataInsertAllRequest: A TableDataInsertAllRequest resource to be
        passed as the request body.
      tableId: Table ID of the destination table.
    """
  
    datasetId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
    tableDataInsertAllRequest = _messages.MessageField('TableDataInsertAllRequest', 3)
    tableId = _messages.StringField(4, required=True)
  
  
  class BigqueryTabledataListRequest(_messages.Message):
    """A BigqueryTabledataListRequest object.
  
    Fields:
      datasetId: Dataset ID of the table to read
      maxResults: Maximum number of results to return
      pageToken: Page token, returned by a previous call, identifying the result
        set
      projectId: Project ID of the table to read
      startIndex: Zero-based index of the starting row to read
      tableId: Table ID of the table to read
    """
  
    datasetId = _messages.StringField(1, required=True)
    maxResults = _messages.IntegerField(2, variant=_messages.Variant.UINT32)
    pageToken = _messages.StringField(3)
    projectId = _messages.StringField(4, required=True)
    startIndex = _messages.IntegerField(5, variant=_messages.Variant.UINT64)
    tableId = _messages.StringField(6, required=True)
  
  
  class BigqueryTablesDeleteRequest(_messages.Message):
    """A BigqueryTablesDeleteRequest object.
  
    Fields:
      datasetId: Dataset ID of the table to delete
      projectId: Project ID of the table to delete
      tableId: Table ID of the table to delete
    """
  
    datasetId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
    tableId = _messages.StringField(3, required=True)
  
  
  class BigqueryTablesDeleteResponse(_messages.Message):
    """An empty BigqueryTablesDelete response."""
  
  
  class BigqueryTablesGetRequest(_messages.Message):
    """A BigqueryTablesGetRequest object.
  
    Fields:
      datasetId: Dataset ID of the requested table
      projectId: Project ID of the requested table
      tableId: Table ID of the requested table
    """
  
    datasetId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
    tableId = _messages.StringField(3, required=True)
  
  
  class BigqueryTablesInsertRequest(_messages.Message):
    """A BigqueryTablesInsertRequest object.
  
    Fields:
      datasetId: Dataset ID of the new table
      projectId: Project ID of the new table
      table: A Table resource to be passed as the request body.
    """
  
    datasetId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
    table = _messages.MessageField('Table', 3)
  
  
  class BigqueryTablesListRequest(_messages.Message):
    """A BigqueryTablesListRequest object.
  
    Fields:
      datasetId: Dataset ID of the tables to list
      maxResults: Maximum number of results to return
      pageToken: Page token, returned by a previous call, to request the next
        page of results
      projectId: Project ID of the tables to list
    """
  
    datasetId = _messages.StringField(1, required=True)
    maxResults = _messages.IntegerField(2, variant=_messages.Variant.UINT32)
    pageToken = _messages.StringField(3)
    projectId = _messages.StringField(4, required=True)
  
  
  class BigqueryTablesPatchRequest(_messages.Message):
    """A BigqueryTablesPatchRequest object.
  
    Fields:
      datasetId: Dataset ID of the table to update
      projectId: Project ID of the table to update
      table: A Table resource to be passed as the request body.
      tableId: Table ID of the table to update
    """
  
    datasetId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
    table = _messages.MessageField('Table', 3)
    tableId = _messages.StringField(4, required=True)
  
  
  class BigqueryTablesUpdateRequest(_messages.Message):
    """A BigqueryTablesUpdateRequest object.
  
    Fields:
      datasetId: Dataset ID of the table to update
      projectId: Project ID of the table to update
      table: A Table resource to be passed as the request body.
      tableId: Table ID of the table to update
    """
  
    datasetId = _messages.StringField(1, required=True)
    projectId = _messages.StringField(2, required=True)
    table = _messages.MessageField('Table', 3)
    tableId = _messages.StringField(4, required=True)
  
  
  class BigtableColumn(_messages.Message):
    """A BigtableColumn object.
  
    Fields:
      encoding: [Optional] The encoding of the values when the type is not
        STRING. Acceptable encoding values are: TEXT - indicates values are
        alphanumeric text strings. BINARY - indicates values are encoded using
        HBase Bytes.toBytes family of functions. 'encoding' can also be set at
        the column family level. However, the setting at this level takes
        precedence if 'encoding' is set at both levels.
      fieldName: [Optional] If the qualifier is not a valid BigQuery field
        identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier
        must be provided as the column field name and is used as field name in
        queries.
      onlyReadLatest: [Optional] If this is set, only the latest version of
        value in this column are exposed. 'onlyReadLatest' can also be set at
        the column family level. However, the setting at this level takes
        precedence if 'onlyReadLatest' is set at both levels.
      qualifierEncoded: [Required] Qualifier of the column. Columns in the
        parent column family that has this exact qualifier are exposed as .
        field. If the qualifier is valid UTF-8 string, it can be specified in
        the qualifier_string field. Otherwise, a base-64 encoded value must be
        set to qualifier_encoded. The column field name is the same as the
        column qualifier. However, if the qualifier is not a valid BigQuery
        field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid
        identifier must be provided as field_name.
      qualifierString: A string attribute.
      type: [Optional] The type to convert the value in cells of this column.
        The values are expected to be encoded using HBase Bytes.toBytes function
        when using the BINARY encoding value. Following BigQuery types are
        allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Defaut
        type is BYTES. 'type' can also be set at the column family level.
        However, the setting at this level takes precedence if 'type' is set at
        both levels.
    """
  
    encoding = _messages.StringField(1)
    fieldName = _messages.StringField(2)
    onlyReadLatest = _messages.BooleanField(3)
    qualifierEncoded = _messages.BytesField(4)
    qualifierString = _messages.StringField(5)
    type = _messages.StringField(6)
  
  
  class BigtableColumnFamily(_messages.Message):
    """A BigtableColumnFamily object.
  
    Fields:
      columns: [Optional] Lists of columns that should be exposed as individual
        fields as opposed to a list of (column name, value) pairs. All columns
        whose qualifier matches a qualifier in this list can be accessed as ..
        Other columns can be accessed as a list through .Column field.
      encoding: [Optional] The encoding of the values when the type is not
        STRING. Acceptable encoding values are: TEXT - indicates values are
        alphanumeric text strings. BINARY - indicates values are encoded using
        HBase Bytes.toBytes family of functions. This can be overridden for a
        specific column by listing that column in 'columns' and specifying an
        encoding for it.
      familyId: Identifier of the column family.
      onlyReadLatest: [Optional] If this is set only the latest version of value
        are exposed for all columns in this column family. This can be
        overridden for a specific column by listing that column in 'columns' and
        specifying a different setting for that column.
      type: [Optional] The type to convert the value in cells of this column
        family. The values are expected to be encoded using HBase Bytes.toBytes
        function when using the BINARY encoding value. Following BigQuery types
        are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Defaut
        type is BYTES. This can be overridden for a specific column by listing
        that column in 'columns' and specifying a type for it.
    """
  
    columns = _messages.MessageField('BigtableColumn', 1, repeated=True)
    encoding = _messages.StringField(2)
    familyId = _messages.StringField(3)
    onlyReadLatest = _messages.BooleanField(4)
    type = _messages.StringField(5)
  
  
  class BigtableOptions(_messages.Message):
    """A BigtableOptions object.
  
    Fields:
      columnFamilies: [Optional] List of column families to expose in the table
        schema along with their types. This list restricts the column families
        that can be referenced in queries and specifies their value types. You
        can use this list to do type conversions - see the 'type' field for more
        details. If you leave this list empty, all column families are present
        in the table schema and their values are read as BYTES. During a query
        only the column families referenced in that query are read from
        Bigtable.
      ignoreUnspecifiedColumnFamilies: [Optional] If field is true, then the
        column families that are not specified in columnFamilies list are not
        exposed in the table schema. Otherwise, they are read with BYTES type
        values. The default value is false.
    """
  
    columnFamilies = _messages.MessageField('BigtableColumnFamily', 1, repeated=True)
    ignoreUnspecifiedColumnFamilies = _messages.BooleanField(2)
  
  
  class CsvOptions(_messages.Message):
    """A CsvOptions object.
  
    Fields:
      allowJaggedRows: [Optional] Indicates if BigQuery should accept rows that
        are missing trailing optional columns. If true, BigQuery treats missing
        trailing columns as null values. If false, records with missing trailing
        columns are treated as bad records, and if there are too many bad
        records, an invalid error is returned in the job result. The default
        value is false.
      allowQuotedNewlines: [Optional] Indicates if BigQuery should allow quoted
        data sections that contain newline characters in a CSV file. The default
        value is false.
      encoding: [Optional] The character encoding of the data. The supported
        values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery
        decodes the data after the raw, binary data has been split using the
        values of the quote and fieldDelimiter properties.
      fieldDelimiter: [Optional] The separator for fields in a CSV file.
        BigQuery converts the string to ISO-8859-1 encoding, and then uses the
        first byte of the encoded string to split the data in its raw, binary
        state. BigQuery also supports the escape sequence "\t" to specify a tab
        separator. The default value is a comma (',').
      quote: [Optional] The value that is used to quote data sections in a CSV
        file. BigQuery converts the string to ISO-8859-1 encoding, and then uses
        the first byte of the encoded string to split the data in its raw,
        binary state. The default value is a double-quote ('"'). If your data
        does not contain quoted sections, set the property value to an empty
        string. If your data contains quoted newline characters, you must also
        set the allowQuotedNewlines property to true.
      skipLeadingRows: [Optional] The number of rows at the top of a CSV file
        that BigQuery will skip when reading the data. The default value is 0.
        This property is useful if you have header rows in the file that should
        be skipped.
    """
  
    allowJaggedRows = _messages.BooleanField(1)
    allowQuotedNewlines = _messages.BooleanField(2)
    encoding = _messages.StringField(3)
    fieldDelimiter = _messages.StringField(4)
    quote = _messages.StringField(5, default=u'"')
    skipLeadingRows = _messages.IntegerField(6, variant=_messages.Variant.INT32)
  
  
  class Dataset(_messages.Message):
    """A Dataset object.
  
    Messages:
      AccessValueListEntry: A AccessValueListEntry object.
  
    Fields:
      access: [Optional] An array of objects that define dataset access for one
        or more entities. You can set this property when inserting or updating a
        dataset in order to control who is allowed to access the data. If
        unspecified at dataset creation time, BigQuery adds default dataset
        access for the following entities: access.specialGroup: projectReaders;
        access.role: READER; access.specialGroup: projectWriters; access.role:
        WRITER; access.specialGroup: projectOwners; access.role: OWNER;
        access.userByEmail: [dataset creator email]; access.role: OWNER;
      creationTime: [Output-only] The time when this dataset was created, in
        milliseconds since the epoch.
      datasetReference: [Required] A reference that identifies the dataset.
      defaultTableExpirationMs: [Optional] The default lifetime of all tables in
        the dataset, in milliseconds. The minimum value is 3600000 milliseconds
        (one hour). Once this property is set, all newly-created tables in the
        dataset will have an expirationTime property set to the creation time
        plus the value in this property, and changing the value will only affect
        new tables, not existing ones. When the expirationTime for a given table
        is reached, that table will be deleted automatically. If a table's
        expirationTime is modified or removed before the table expires, or if
        you provide an explicit expirationTime when creating a table, that value
        takes precedence over the default expiration time indicated by this
        property.
      description: [Optional] A user-friendly description of the dataset.
      etag: [Output-only] A hash of the resource.
      friendlyName: [Optional] A descriptive name for the dataset.
      id: [Output-only] The fully-qualified unique name of the dataset in the
        format projectId:datasetId. The dataset name without the project name is
        given in the datasetId field. When creating a new dataset, leave this
        field blank, and instead specify the datasetId field.
      kind: [Output-only] The resource type.
      lastModifiedTime: [Output-only] The date when this dataset or any of its
        tables was last modified, in milliseconds since the epoch.
      location: [Experimental] The geographic location where the dataset should
        reside. Possible values include EU and US. The default value is US.
      selfLink: [Output-only] A URL that can be used to access the resource
        again. You can use this URL in Get or Update requests to the resource.
    """
  
    class AccessValueListEntry(_messages.Message):
      """A AccessValueListEntry object.
  
      Fields:
        domain: [Pick one] A domain to grant access to. Any users signed in with
          the domain specified will be granted the specified access. Example:
          "example.com".
        groupByEmail: [Pick one] An email address of a Google Group to grant
          access to.
        role: [Required] Describes the rights granted to the user specified by
          the other member of the access object. The following string values are
          supported: READER, WRITER, OWNER.
        specialGroup: [Pick one] A special group to grant access to. Possible
          values include: projectOwners: Owners of the enclosing project.
          projectReaders: Readers of the enclosing project. projectWriters:
          Writers of the enclosing project. allAuthenticatedUsers: All
          authenticated BigQuery users.
        userByEmail: [Pick one] An email address of a user to grant access to.
          For example: fred@example.com.
        view: [Pick one] A view from a different dataset to grant access to.
          Queries executed against that view will have read access to tables in
          this dataset. The role field is not required when this field is set.
          If that view is updated by any user, access to the view needs to be
          granted again via an update operation.
      """
  
      domain = _messages.StringField(1)
      groupByEmail = _messages.StringField(2)
      role = _messages.StringField(3)
      specialGroup = _messages.StringField(4)
      userByEmail = _messages.StringField(5)
      view = _messages.MessageField('TableReference', 6)
  
    access = _messages.MessageField('AccessValueListEntry', 1, repeated=True)
    creationTime = _messages.IntegerField(2)
    datasetReference = _messages.MessageField('DatasetReference', 3)
    defaultTableExpirationMs = _messages.IntegerField(4)
    description = _messages.StringField(5)
    etag = _messages.StringField(6)
    friendlyName = _messages.StringField(7)
    id = _messages.StringField(8)
    kind = _messages.StringField(9, default=u'bigquery#dataset')
    lastModifiedTime = _messages.IntegerField(10)
    location = _messages.StringField(11)
    selfLink = _messages.StringField(12)
  
  
  class DatasetList(_messages.Message):
    """A DatasetList object.
  
    Messages:
      DatasetsValueListEntry: A DatasetsValueListEntry object.
  
    Fields:
      datasets: An array of the dataset resources in the project. Each resource
        contains basic information. For full information about a particular
        dataset resource, use the Datasets: get method. This property is omitted
        when there are no datasets in the project.
      etag: A hash value of the results page. You can use this property to
        determine if the page has changed since the last request.
      kind: The list type. This property always returns the value
        "bigquery#datasetList".
      nextPageToken: A token that can be used to request the next results page.
        This property is omitted on the final results page.
    """
  
    class DatasetsValueListEntry(_messages.Message):
      """A DatasetsValueListEntry object.
  
      Fields:
        datasetReference: The dataset reference. Use this property to access
          specific parts of the dataset's ID, such as project ID or dataset ID.
        friendlyName: A descriptive name for the dataset, if one exists.
        id: The fully-qualified, unique, opaque ID of the dataset.
        kind: The resource type. This property always returns the value
          "bigquery#dataset".
      """
  
      datasetReference = _messages.MessageField('DatasetReference', 1)
      friendlyName = _messages.StringField(2)
      id = _messages.StringField(3)
      kind = _messages.StringField(4, default=u'bigquery#dataset')
  
    datasets = _messages.MessageField('DatasetsValueListEntry', 1, repeated=True)
    etag = _messages.StringField(2)
    kind = _messages.StringField(3, default=u'bigquery#datasetList')
    nextPageToken = _messages.StringField(4)
  
  
  class DatasetReference(_messages.Message):
    """A DatasetReference object.
  
    Fields:
      datasetId: [Required] A unique ID for this dataset, without the project
        name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or
        underscores (_). The maximum length is 1,024 characters.
      projectId: [Optional] The ID of the project containing this dataset.
    """
  
    datasetId = _messages.StringField(1)
    projectId = _messages.StringField(2)
  
  
  class ErrorProto(_messages.Message):
    """A ErrorProto object.
  
    Fields:
      debugInfo: Debugging information. This property is internal to Google and
        should not be used.
      location: Specifies where the error occurred, if present.
      message: A human-readable description of the error.
      reason: A short error code that summarizes the error.
    """
  
    debugInfo = _messages.StringField(1)
    location = _messages.StringField(2)
    message = _messages.StringField(3)
    reason = _messages.StringField(4)
  
  
  class ExplainQueryStage(_messages.Message):
    """A ExplainQueryStage object.
  
    Fields:
      computeRatioAvg: Relative amount of time the average shard spent on CPU-
        bound tasks.
      computeRatioMax: Relative amount of time the slowest shard spent on CPU-
        bound tasks.
      id: Unique ID for stage within plan.
      name: Human-readable name for stage.
      readRatioAvg: Relative amount of time the average shard spent reading
        input.
      readRatioMax: Relative amount of time the slowest shard spent reading
        input.
      recordsRead: Number of records read into the stage.
      recordsWritten: Number of records written by the stage.
      steps: List of operations within the stage in dependency order
        (approximately chronological).
      waitRatioAvg: Relative amount of time the average shard spent waiting to
        be scheduled.
      waitRatioMax: Relative amount of time the slowest shard spent waiting to
        be scheduled.
      writeRatioAvg: Relative amount of time the average shard spent on writing
        output.
      writeRatioMax: Relative amount of time the slowest shard spent on writing
        output.
    """
  
    computeRatioAvg = _messages.FloatField(1)
    computeRatioMax = _messages.FloatField(2)
    id = _messages.IntegerField(3)
    name = _messages.StringField(4)
    readRatioAvg = _messages.FloatField(5)
    readRatioMax = _messages.FloatField(6)
    recordsRead = _messages.IntegerField(7)
    recordsWritten = _messages.IntegerField(8)
    steps = _messages.MessageField('ExplainQueryStep', 9, repeated=True)
    waitRatioAvg = _messages.FloatField(10)
    waitRatioMax = _messages.FloatField(11)
    writeRatioAvg = _messages.FloatField(12)
    writeRatioMax = _messages.FloatField(13)
  
  
  class ExplainQueryStep(_messages.Message):
    """A ExplainQueryStep object.
  
    Fields:
      kind: Machine-readable operation type.
      substeps: Human-readable stage descriptions.
    """
  
    kind = _messages.StringField(1)
    substeps = _messages.StringField(2, repeated=True)
  
  
  class ExternalDataConfiguration(_messages.Message):
    """A ExternalDataConfiguration object.
  
    Fields:
      autodetect: [Experimental] Try to detect schema and format options
        automatically. Any option specified explicitly will be honored.
      bigtableOptions: [Optional] Additional options if sourceFormat is set to
        BIGTABLE.
      compression: [Optional] The compression type of the data source. Possible
        values include GZIP and NONE. The default value is NONE. This setting is
        ignored for Google Cloud Bigtable, Google Cloud Datastore backups and
        Avro formats.
      csvOptions: Additional properties to set if sourceFormat is set to CSV.
      ignoreUnknownValues: [Optional] Indicates if BigQuery should allow extra
        values that are not represented in the table schema. If true, the extra
        values are ignored. If false, records with extra columns are treated as
        bad records, and if there are too many bad records, an invalid error is
        returned in the job result. The default value is false. The sourceFormat
        property determines what BigQuery treats as an extra value: CSV:
        Trailing columns JSON: Named values that don't match any column names
        Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore
        backups: This setting is ignored. Avro: This setting is ignored.
      maxBadRecords: [Optional] The maximum number of bad records that BigQuery
        can ignore when reading data. If the number of bad records exceeds this
        value, an invalid error is returned in the job result. The default value
        is 0, which requires that all records are valid. This setting is ignored
        for Google Cloud Bigtable, Google Cloud Datastore backups and Avro
        formats.
      schema: [Optional] The schema for the data. Schema is required for CSV and
        JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud
        Datastore backups, and Avro formats.
      sourceFormat: [Required] The data format. For CSV files, specify "CSV".
        For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro
        files, specify "AVRO". For Google Cloud Datastore backups, specify
        "DATASTORE_BACKUP". [Experimental] For Google Cloud Bigtable, specify
        "BIGTABLE". Please note that reading from Google Cloud Bigtable is
        experimental and has to be enabled for your project. Please contact
        Google Cloud Support to enable this for your project.
      sourceUris: [Required] The fully-qualified URIs that point to your data in
        Google Cloud. For Google Cloud Storage URIs: Each URI can contain one
        '*' wildcard character and it must come after the 'bucket' name. Size
        limits related to load jobs apply to external data sources, plus an
        additional limit of 10 GB maximum size across all URIs. For Google Cloud
        Bigtable URIs: Exactly one URI can be specified and it has be a fully
        specified and valid HTTPS URL for a Google Cloud Bigtable table. For
        Google Cloud Datastore backups, exactly one URI can be specified, and it
        must end with '.backup_info'. Also, the '*' wildcard character is not
        allowed.
    """
  
    autodetect = _messages.BooleanField(1)
    bigtableOptions = _messages.MessageField('BigtableOptions', 2)
    compression = _messages.StringField(3)
    csvOptions = _messages.MessageField('CsvOptions', 4)
    ignoreUnknownValues = _messages.BooleanField(5)
    maxBadRecords = _messages.IntegerField(6, variant=_messages.Variant.INT32)
    schema = _messages.MessageField('TableSchema', 7)
    sourceFormat = _messages.StringField(8)
    sourceUris = _messages.StringField(9, repeated=True)
  
  
  class GetQueryResultsResponse(_messages.Message):
    """A GetQueryResultsResponse object.
  
    Fields:
      cacheHit: Whether the query result was fetched from the query cache.
      errors: [Output-only] All errors and warnings encountered during the
        running of the job. Errors here do not necessarily mean that the job has
        completed or was unsuccessful.
      etag: A hash of this response.
      jobComplete: Whether the query has completed or not. If rows or totalRows
        are present, this will always be true. If this is false, totalRows will
        not be available.
      jobReference: Reference to the BigQuery Job that was created to run the
        query. This field will be present even if the original request timed
        out, in which case GetQueryResults can be used to read the results once
        the query has completed. Since this API only returns the first page of
        results, subsequent pages can be fetched via the same mechanism
        (GetQueryResults).
      kind: The resource type of the response.
      pageToken: A token used for paging results.
      rows: An object with as many results as can be contained within the
        maximum permitted reply size. To get any additional rows, you can call
        GetQueryResults and specify the jobReference returned above. Present
        only when the query completes successfully.
      schema: The schema of the results. Present only when the query completes
        successfully.
      totalBytesProcessed: The total number of bytes processed for this query.
      totalRows: The total number of rows in the complete query result set,
        which can be more than the number of rows in this single page of
        results. Present only when the query completes successfully.
    """
  
    cacheHit = _messages.BooleanField(1)
    errors = _messages.MessageField('ErrorProto', 2, repeated=True)
    etag = _messages.StringField(3)
    jobComplete = _messages.BooleanField(4)
    jobReference = _messages.MessageField('JobReference', 5)
    kind = _messages.StringField(6, default=u'bigquery#getQueryResultsResponse')
    pageToken = _messages.StringField(7)
    rows = _messages.MessageField('TableRow', 8, repeated=True)
    schema = _messages.MessageField('TableSchema', 9)
    totalBytesProcessed = _messages.IntegerField(10)
    totalRows = _messages.IntegerField(11, variant=_messages.Variant.UINT64)
  
  
  class IntervalPartitionConfiguration(_messages.Message):
    """A IntervalPartitionConfiguration object.
  
    Fields:
      expirationMs: A string attribute.
      type: A string attribute.
    """
  
    expirationMs = _messages.IntegerField(1)
    type = _messages.StringField(2)
  
  
  class Job(_messages.Message):
    """A Job object.
  
    Fields:
      configuration: [Required] Describes the job configuration.
      etag: [Output-only] A hash of this resource.
      id: [Output-only] Opaque ID field of the job
      jobReference: [Optional] Reference describing the unique-per-user name of
        the job.
      kind: [Output-only] The type of the resource.
      selfLink: [Output-only] A URL that can be used to access this resource
        again.
      statistics: [Output-only] Information about the job, including starting
        time and ending time of the job.
      status: [Output-only] The status of this job. Examine this value when
        polling an asynchronous job to see if the job is complete.
      user_email: [Output-only] Email address of the user who ran the job.
    """
  
    configuration = _messages.MessageField('JobConfiguration', 1)
    etag = _messages.StringField(2)
    id = _messages.StringField(3)
    jobReference = _messages.MessageField('JobReference', 4)
    kind = _messages.StringField(5, default=u'bigquery#job')
    selfLink = _messages.StringField(6)
    statistics = _messages.MessageField('JobStatistics', 7)
    status = _messages.MessageField('JobStatus', 8)
    user_email = _messages.StringField(9)
  
  
  class JobCancelResponse(_messages.Message):
    """A JobCancelResponse object.
  
    Fields:
      job: The final state of the job.
      kind: The resource type of the response.
    """
  
    job = _messages.MessageField('Job', 1)
    kind = _messages.StringField(2, default=u'bigquery#jobCancelResponse')
  
  
  class JobConfiguration(_messages.Message):
    """A JobConfiguration object.
  
    Fields:
      copy: [Pick one] Copies a table.
      dryRun: [Optional] If set, don't actually run this job. A valid query will
        return a mostly empty response with some processing statistics, while an
        invalid query will return the same error it would if it wasn't a dry
        run. Behavior of non-query jobs is undefined.
      extract: [Pick one] Configures an extract job.
      load: [Pick one] Configures a load job.
      query: [Pick one] Configures a query job.
    """
  
    copy = _messages.MessageField('JobConfigurationTableCopy', 1)
    dryRun = _messages.BooleanField(2)
    extract = _messages.MessageField('JobConfigurationExtract', 3)
    load = _messages.MessageField('JobConfigurationLoad', 4)
    query = _messages.MessageField('JobConfigurationQuery', 5)
  
  
  class JobConfigurationExtract(_messages.Message):
    """A JobConfigurationExtract object.
  
    Fields:
      compression: [Optional] The compression type to use for exported files.
        Possible values include GZIP and NONE. The default value is NONE.
      destinationFormat: [Optional] The exported file format. Possible values
        include CSV, NEWLINE_DELIMITED_JSON and AVRO. The default value is CSV.
        Tables with nested or repeated fields cannot be exported as CSV.
      destinationUri: [Pick one] DEPRECATED: Use destinationUris instead,
        passing only one URI as necessary. The fully-qualified Google Cloud
        Storage URI where the extracted table should be written.
      destinationUris: [Pick one] A list of fully-qualified Google Cloud Storage
        URIs where the extracted table should be written.
      fieldDelimiter: [Optional] Delimiter to use between fields in the exported
        data. Default is ','
      printHeader: [Optional] Whether to print out a header row in the results.
        Default is true.
      sourceTable: [Required] A reference to the table being exported.
    """
  
    compression = _messages.StringField(1)
    destinationFormat = _messages.StringField(2)
    destinationUri = _messages.StringField(3)
    destinationUris = _messages.StringField(4, repeated=True)
    fieldDelimiter = _messages.StringField(5)
    printHeader = _messages.BooleanField(6, default=True)
    sourceTable = _messages.MessageField('TableReference', 7)
  
  
  class JobConfigurationLoad(_messages.Message):
    """A JobConfigurationLoad object.
  
    Fields:
      allowJaggedRows: [Optional] Accept rows that are missing trailing optional
        columns. The missing values are treated as nulls. If false, records with
        missing trailing columns are treated as bad records, and if there are
        too many bad records, an invalid error is returned in the job result.
        The default value is false. Only applicable to CSV, ignored for other
        formats.
      allowQuotedNewlines: Indicates if BigQuery should allow quoted data
        sections that contain newline characters in a CSV file. The default
        value is false.
      createDisposition: [Optional] Specifies whether the job is allowed to
        create new tables. The following values are supported: CREATE_IF_NEEDED:
        If the table does not exist, BigQuery creates the table. CREATE_NEVER:
        The table must already exist. If it does not, a 'notFound' error is
        returned in the job result. The default value is CREATE_IF_NEEDED.
        Creation, truncation and append actions occur as one atomic update upon
        job completion.
      destinationTable: [Required] The destination table to load the data into.
      encoding: [Optional] The character encoding of the data. The supported
        values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery
        decodes the data after the raw, binary data has been split using the
        values of the quote and fieldDelimiter properties.
      fieldDelimiter: [Optional] The separator for fields in a CSV file. The
        separator can be any ISO-8859-1 single-byte character. To use a
        character in the range 128-255, you must encode the character as UTF8.
        BigQuery converts the string to ISO-8859-1 encoding, and then uses the
        first byte of the encoded string to split the data in its raw, binary
        state. BigQuery also supports the escape sequence "\t" to specify a tab
        separator. The default value is a comma (',').
      ignoreUnknownValues: [Optional] Indicates if BigQuery should allow extra
        values that are not represented in the table schema. If true, the extra
        values are ignored. If false, records with extra columns are treated as
        bad records, and if there are too many bad records, an invalid error is
        returned in the job result. The default value is false. The sourceFormat
        property determines what BigQuery treats as an extra value: CSV:
        Trailing columns JSON: Named values that don't match any column names
      maxBadRecords: [Optional] The maximum number of bad records that BigQuery
        can ignore when running the job. If the number of bad records exceeds
        this value, an invalid error is returned in the job result. The default
        value is 0, which requires that all records are valid.
      projectionFields: [Experimental] If sourceFormat is set to
        "DATASTORE_BACKUP", indicates which entity properties to load into
        BigQuery from a Cloud Datastore backup. Property names are case
        sensitive and must be top-level properties. If no properties are
        specified, BigQuery loads all properties. If any named property isn't
        found in the Cloud Datastore backup, an invalid error is returned in the
        job result.
      quote: [Optional] The value that is used to quote data sections in a CSV
        file. BigQuery converts the string to ISO-8859-1 encoding, and then uses
        the first byte of the encoded string to split the data in its raw,
        binary state. The default value is a double-quote ('"'). If your data
        does not contain quoted sections, set the property value to an empty
        string. If your data contains quoted newline characters, you must also
        set the allowQuotedNewlines property to true.
      schema: [Optional] The schema for the destination table. The schema can be
        omitted if the destination table already exists, or if you're loading
        data from Google Cloud Datastore.
      schemaInline: [Deprecated] The inline schema. For CSV schemas, specify as
        "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER,
        baz:FLOAT".
      schemaInlineFormat: [Deprecated] The format of the schemaInline property.
      skipLeadingRows: [Optional] The number of rows at the top of a CSV file
        that BigQuery will skip when loading the data. The default value is 0.
        This property is useful if you have header rows in the file that should
        be skipped.
      sourceFormat: [Optional] The format of the data files. For CSV files,
        specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For
        newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro,
        specify "AVRO". The default value is CSV.
      sourceUris: [Required] The fully-qualified URIs that point to your data in
        Google Cloud Storage. Each URI can contain one '*' wildcard character
        and it must come after the 'bucket' name.
      writeDisposition: [Optional] Specifies the action that occurs if the
        destination table already exists. The following values are supported:
        WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the
        table data. WRITE_APPEND: If the table already exists, BigQuery appends
        the data to the table. WRITE_EMPTY: If the table already exists and
        contains data, a 'duplicate' error is returned in the job result. The
        default value is WRITE_APPEND. Each action is atomic and only occurs if
        BigQuery is able to complete the job successfully. Creation, truncation
        and append actions occur as one atomic update upon job completion.
    """
  
    allowJaggedRows = _messages.BooleanField(1)
    allowQuotedNewlines = _messages.BooleanField(2)
    createDisposition = _messages.StringField(3)
    destinationTable = _messages.MessageField('TableReference', 4)
    encoding = _messages.StringField(5)
    fieldDelimiter = _messages.StringField(6)
    ignoreUnknownValues = _messages.BooleanField(7)
    maxBadRecords = _messages.IntegerField(8, variant=_messages.Variant.INT32)
    projectionFields = _messages.StringField(9, repeated=True)
    quote = _messages.StringField(10, default=u'"')
    schema = _messages.MessageField('TableSchema', 11)
    schemaInline = _messages.StringField(12)
    schemaInlineFormat = _messages.StringField(13)
    skipLeadingRows = _messages.IntegerField(14, variant=_messages.Variant.INT32)
    sourceFormat = _messages.StringField(15)
    sourceUris = _messages.StringField(16, repeated=True)
    writeDisposition = _messages.StringField(17)
  
  
  class JobConfigurationQuery(_messages.Message):
    """A JobConfigurationQuery object.
  
    Messages:
      TableDefinitionsValue: [Optional] If querying an external data source
        outside of BigQuery, describes the data format, location and other
        properties of the data source. By defining these properties, the data
        source can then be queried as if it were a standard BigQuery table.
  
    Fields:
      allowLargeResults: If true, allows the query to produce arbitrarily large
        result tables at a slight cost in performance. Requires destinationTable
        to be set.
      createDisposition: [Optional] Specifies whether the job is allowed to
        create new tables. The following values are supported: CREATE_IF_NEEDED:
        If the table does not exist, BigQuery creates the table. CREATE_NEVER:
        The table must already exist. If it does not, a 'notFound' error is
        returned in the job result. The default value is CREATE_IF_NEEDED.
        Creation, truncation and append actions occur as one atomic update upon
        job completion.
      defaultDataset: [Optional] Specifies the default dataset to use for
        unqualified table names in the query.
      destinationTable: [Optional] Describes the table where the query results
        should be stored. If not present, a new table will be created to store
        the results.
      flattenResults: [Optional] Flattens all nested and repeated fields in the
        query results. The default value is true. allowLargeResults must be true
        if this is set to false.
      maximumBillingTier: [Optional] Limits the billing tier for this job.
        Queries that have resource usage beyond this tier will fail (without
        incurring a charge). If unspecified, this will be set to your project
        default.
      preserveNulls: [Deprecated] This property is deprecated.
      priority: [Optional] Specifies a priority for the query. Possible values
        include INTERACTIVE and BATCH. The default value is INTERACTIVE.
      query: [Required] BigQuery SQL query to execute.
      tableDefinitions: [Optional] If querying an external data source outside
        of BigQuery, describes the data format, location and other properties of
        the data source. By defining these properties, the data source can then
        be queried as if it were a standard BigQuery table.
      useLegacySql: [Experimental] Specifies whether to use BigQuery's legacy
        SQL dialect for this query. The default value is true. If set to false,
        the query will use BigQuery's updated SQL dialect with improved
        standards compliance. When using BigQuery's updated SQL, the values of
        allowLargeResults and flattenResults are ignored. Queries with
        useLegacySql set to false will be run as if allowLargeResults is true
        and flattenResults is false.
      useQueryCache: [Optional] Whether to look for the result in the query
        cache. The query cache is a best-effort cache that will be flushed
        whenever tables in the query are modified. Moreover, the query cache is
        only available when a query does not have a destination table specified.
        The default value is true.
      userDefinedFunctionResources: [Experimental] Describes user-defined
        function resources used in the query.
      writeDisposition: [Optional] Specifies the action that occurs if the
        destination table already exists. The following values are supported:
        WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the
        table data. WRITE_APPEND: If the table already exists, BigQuery appends
        the data to the table. WRITE_EMPTY: If the table already exists and
        contains data, a 'duplicate' error is returned in the job result. The
        default value is WRITE_EMPTY. Each action is atomic and only occurs if
        BigQuery is able to complete the job successfully. Creation, truncation
        and append actions occur as one atomic update upon job completion.
    """
  
    @encoding.MapUnrecognizedFields('additionalProperties')
    class TableDefinitionsValue(_messages.Message):
      """[Optional] If querying an external data source outside of BigQuery,
      describes the data format, location and other properties of the data
      source. By defining these properties, the data source can then be queried
      as if it were a standard BigQuery table.
  
      Messages:
        AdditionalProperty: An additional property for a TableDefinitionsValue
          object.
  
      Fields:
        additionalProperties: Additional properties of type
          TableDefinitionsValue
      """
  
      class AdditionalProperty(_messages.Message):
        """An additional property for a TableDefinitionsValue object.
  
        Fields:
          key: Name of the additional property.
          value: A ExternalDataConfiguration attribute.
        """
  
        key = _messages.StringField(1)
        value = _messages.MessageField('ExternalDataConfiguration', 2)
  
      additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
  
    allowLargeResults = _messages.BooleanField(1)
    createDisposition = _messages.StringField(2)
    defaultDataset = _messages.MessageField('DatasetReference', 3)
    destinationTable = _messages.MessageField('TableReference', 4)
    flattenResults = _messages.BooleanField(5, default=True)
    maximumBillingTier = _messages.IntegerField(6, variant=_messages.Variant.INT32, default=1)
    preserveNulls = _messages.BooleanField(7)
    priority = _messages.StringField(8)
    query = _messages.StringField(9)
    tableDefinitions = _messages.MessageField('TableDefinitionsValue', 10)
    useLegacySql = _messages.BooleanField(11)
    useQueryCache = _messages.BooleanField(12, default=True)
    userDefinedFunctionResources = _messages.MessageField('UserDefinedFunctionResource', 13, repeated=True)
    writeDisposition = _messages.StringField(14)
  
  
  class JobConfigurationTableCopy(_messages.Message):
    """A JobConfigurationTableCopy object.
  
    Fields:
      createDisposition: [Optional] Specifies whether the job is allowed to
        create new tables. The following values are supported: CREATE_IF_NEEDED:
        If the table does not exist, BigQuery creates the table. CREATE_NEVER:
        The table must already exist. If it does not, a 'notFound' error is
        returned in the job result. The default value is CREATE_IF_NEEDED.
        Creation, truncation and append actions occur as one atomic update upon
        job completion.
      destinationTable: [Required] The destination table
      sourceTable: [Pick one] Source table to copy.
      sourceTables: [Pick one] Source tables to copy.
      writeDisposition: [Optional] Specifies the action that occurs if the
        destination table already exists. The following values are supported:
        WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the
        table data. WRITE_APPEND: If the table already exists, BigQuery appends
        the data to the table. WRITE_EMPTY: If the table already exists and
        contains data, a 'duplicate' error is returned in the job result. The
        default value is WRITE_EMPTY. Each action is atomic and only occurs if
        BigQuery is able to complete the job successfully. Creation, truncation
        and append actions occur as one atomic update upon job completion.
    """
  
    createDisposition = _messages.StringField(1)
    destinationTable = _messages.MessageField('TableReference', 2)
    sourceTable = _messages.MessageField('TableReference', 3)
    sourceTables = _messages.MessageField('TableReference', 4, repeated=True)
    writeDisposition = _messages.StringField(5)
  
  
  class JobList(_messages.Message):
    """A JobList object.
  
    Messages:
      JobsValueListEntry: A JobsValueListEntry object.
  
    Fields:
      etag: A hash of this page of results.
      jobs: List of jobs that were requested.
      kind: The resource type of the response.
      nextPageToken: A token to request the next page of results.
    """
  
    class JobsValueListEntry(_messages.Message):
      """A JobsValueListEntry object.
  
      Fields:
        configuration: [Full-projection-only] Specifies the job configuration.
        errorResult: A result object that will be present only if the job has
          failed.
        id: Unique opaque ID of the job.
        jobReference: Job reference uniquely identifying the job.
        kind: The resource type.
        state: Running state of the job. When the state is DONE, errorResult can
          be checked to determine whether the job succeeded or failed.
        statistics: [Output-only] Information about the job, including starting
          time and ending time of the job.
        status: [Full-projection-only] Describes the state of the job.
        user_email: [Full-projection-only] Email address of the user who ran the
          job.
      """
  
      configuration = _messages.MessageField('JobConfiguration', 1)
      errorResult = _messages.MessageField('ErrorProto', 2)
      id = _messages.StringField(3)
      jobReference = _messages.MessageField('JobReference', 4)
      kind = _messages.StringField(5, default=u'bigquery#job')
      state = _messages.StringField(6)
      statistics = _messages.MessageField('JobStatistics', 7)
      status = _messages.MessageField('JobStatus', 8)
      user_email = _messages.StringField(9)
  
    etag = _messages.StringField(1)
    jobs = _messages.MessageField('JobsValueListEntry', 2, repeated=True)
    kind = _messages.StringField(3, default=u'bigquery#jobList')
    nextPageToken = _messages.StringField(4)
  
  
  class JobReference(_messages.Message):
    """A JobReference object.
  
    Fields:
      jobId: [Required] The ID of the job. The ID must contain only letters
        (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum
        length is 1,024 characters.
      projectId: [Required] The ID of the project containing this job.
    """
  
    jobId = _messages.StringField(1)
    projectId = _messages.StringField(2)
  
  
  class JobStatistics(_messages.Message):
    """A JobStatistics object.
  
    Fields:
      creationTime: [Output-only] Creation time of this job, in milliseconds
        since the epoch. This field will be present on all jobs.
      endTime: [Output-only] End time of this job, in milliseconds since the
        epoch. This field will be present whenever a job is in the DONE state.
      extract: [Output-only] Statistics for an extract job.
      load: [Output-only] Statistics for a load job.
      query: [Output-only] Statistics for a query job.
      startTime: [Output-only] Start time of this job, in milliseconds since the
        epoch. This field will be present when the job transitions from the
        PENDING state to either RUNNING or DONE.
      totalBytesProcessed: [Output-only] [Deprecated] Use the bytes processed in
        the query statistics instead.
    """
  
    creationTime = _messages.IntegerField(1)
    endTime = _messages.IntegerField(2)
    extract = _messages.MessageField('JobStatistics4', 3)
    load = _messages.MessageField('JobStatistics3', 4)
    query = _messages.MessageField('JobStatistics2', 5)
    startTime = _messages.IntegerField(6)
    totalBytesProcessed = _messages.IntegerField(7)
  
  
  class JobStatistics2(_messages.Message):
    """A JobStatistics2 object.
  
    Fields:
      billingTier: [Output-only] Billing tier for the job.
      cacheHit: [Output-only] Whether the query result was fetched from the
        query cache.
      queryPlan: [Output-only, Experimental] Describes execution plan for the
        query as a list of stages.
      referencedTables: [Output-only, Experimental] Referenced tables for the
        job. Queries that reference more than 50 tables will not have a complete
        list.
      totalBytesBilled: [Output-only] Total bytes billed for the job.
      totalBytesProcessed: [Output-only] Total bytes processed for the job.
    """
  
    billingTier = _messages.IntegerField(1, variant=_messages.Variant.INT32)
    cacheHit = _messages.BooleanField(2)
    queryPlan = _messages.MessageField('ExplainQueryStage', 3, repeated=True)
    referencedTables = _messages.MessageField('TableReference', 4, repeated=True)
    totalBytesBilled = _messages.IntegerField(5)
    totalBytesProcessed = _messages.IntegerField(6)
  
  
  class JobStatistics3(_messages.Message):
    """A JobStatistics3 object.
  
    Fields:
      inputFileBytes: [Output-only] Number of bytes of source data in a load
        job.
      inputFiles: [Output-only] Number of source files in a load job.
      outputBytes: [Output-only] Size of the loaded data in bytes. Note that
        while a load job is in the running state, this value may change.
      outputRows: [Output-only] Number of rows imported in a load job. Note that
        while an import job is in the running state, this value may change.
    """
  
    inputFileBytes = _messages.IntegerField(1)
    inputFiles = _messages.IntegerField(2)
    outputBytes = _messages.IntegerField(3)
    outputRows = _messages.IntegerField(4)
  
  
  class JobStatistics4(_messages.Message):
    """A JobStatistics4 object.
  
    Fields:
      destinationUriFileCounts: [Output-only] Number of files per destination
        URI or URI pattern specified in the extract configuration. These values
        will be in the same order as the URIs specified in the 'destinationUris'
        field.
    """
  
    destinationUriFileCounts = _messages.IntegerField(1, repeated=True)
  
  
  class JobStatus(_messages.Message):
    """A JobStatus object.
  
    Fields:
      errorResult: [Output-only] Final error result of the job. If present,
        indicates that the job has completed and was unsuccessful.
      errors: [Output-only] All errors encountered during the running of the
        job. Errors here do not necessarily mean that the job has completed or
        was unsuccessful.
      state: [Output-only] Running state of the job.
    """
  
    errorResult = _messages.MessageField('ErrorProto', 1)
    errors = _messages.MessageField('ErrorProto', 2, repeated=True)
    state = _messages.StringField(3)
  
  
  @encoding.MapUnrecognizedFields('additionalProperties')
  class JsonObject(_messages.Message):
    """Represents a single JSON object.
  
    Messages:
      AdditionalProperty: An additional property for a JsonObject object.
  
    Fields:
      additionalProperties: Additional properties of type JsonObject
    """
  
    class AdditionalProperty(_messages.Message):
      """An additional property for a JsonObject object.
  
      Fields:
        key: Name of the additional property.
        value: A JsonValue attribute.
      """
  
      key = _messages.StringField(1)
      value = _messages.MessageField('JsonValue', 2)
  
    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
  
  
  JsonValue = extra_types.JsonValue
  
  
  class ProjectList(_messages.Message):
    """A ProjectList object.
  
    Messages:
      ProjectsValueListEntry: A ProjectsValueListEntry object.
  
    Fields:
      etag: A hash of the page of results
      kind: The type of list.
      nextPageToken: A token to request the next page of results.
      projects: Projects to which you have at least READ access.
      totalItems: The total number of projects in the list.
    """
  
    class ProjectsValueListEntry(_messages.Message):
      """A ProjectsValueListEntry object.
  
      Fields:
        friendlyName: A descriptive name for this project.
        id: An opaque ID of this project.
        kind: The resource type.
        numericId: The numeric ID of this project.
        projectReference: A unique reference to this project.
      """
  
      friendlyName = _messages.StringField(1)
      id = _messages.StringField(2)
      kind = _messages.StringField(3, default=u'bigquery#project')
      numericId = _messages.IntegerField(4, variant=_messages.Variant.UINT64)
      projectReference = _messages.MessageField('ProjectReference', 5)
  
    etag = _messages.StringField(1)
    kind = _messages.StringField(2, default=u'bigquery#projectList')
    nextPageToken = _messages.StringField(3)
    projects = _messages.MessageField('ProjectsValueListEntry', 4, repeated=True)
    totalItems = _messages.IntegerField(5, variant=_messages.Variant.INT32)
  
  
  class ProjectReference(_messages.Message):
    """A ProjectReference object.
  
    Fields:
      projectId: [Required] ID of the project. Can be either the numeric ID or
        the assigned ID of the project.
    """
  
    projectId = _messages.StringField(1)
  
  
  class QueryRequest(_messages.Message):
    """A QueryRequest object.
  
    Fields:
      defaultDataset: [Optional] Specifies the default datasetId and projectId
        to assume for any unqualified table names in the query. If not set, all
        table names in the query string must be qualified in the format
        'datasetId.tableId'.
      dryRun: [Optional] If set to true, BigQuery doesn't run the job. Instead,
        if the query is valid, BigQuery returns statistics about the job such as
        how many bytes would be processed. If the query is invalid, an error
        returns. The default value is false.
      kind: The resource type of the request.
      maxResults: [Optional] The maximum number of rows of data to return per
        page of results. Setting this flag to a small value such as 1000 and
        then paging through results might improve reliability when the query
        result set is large. In addition to this limit, responses are also
        limited to 10 MB. By default, there is no maximum row count, and only
        the byte limit applies.
      preserveNulls: [Deprecated] This property is deprecated.
      query: [Required] A query string, following the BigQuery query syntax, of
        the query to execute. Example: "SELECT count(f1) FROM
        [myProjectId:myDatasetId.myTableId]".
      timeoutMs: [Optional] How long to wait for the query to complete, in
        milliseconds, before the request times out and returns. Note that this
        is only a timeout for the request, not the query. If the query takes
        longer to run than the timeout value, the call returns without any
        results and with the 'jobComplete' flag set to false. You can call
        GetQueryResults() to wait for the query to complete and read the
        results. The default value is 10000 milliseconds (10 seconds).
      useLegacySql: [Experimental] Specifies whether to use BigQuery's legacy
        SQL dialect for this query. The default value is true. If set to false,
        the query will use BigQuery's updated SQL dialect with improved
        standards compliance. When using BigQuery's updated SQL, the values of
        allowLargeResults and flattenResults are ignored. Queries with
        useLegacySql set to false will be run as if allowLargeResults is true
        and flattenResults is false.
      useQueryCache: [Optional] Whether to look for the result in the query
        cache. The query cache is a best-effort cache that will be flushed
        whenever tables in the query are modified. The default value is true.
    """
  
    defaultDataset = _messages.MessageField('DatasetReference', 1)
    dryRun = _messages.BooleanField(2)
    kind = _messages.StringField(3, default=u'bigquery#queryRequest')
    maxResults = _messages.IntegerField(4, variant=_messages.Variant.UINT32)
    preserveNulls = _messages.BooleanField(5)
    query = _messages.StringField(6)
    timeoutMs = _messages.IntegerField(7, variant=_messages.Variant.UINT32)
    useLegacySql = _messages.BooleanField(8)
    useQueryCache = _messages.BooleanField(9, default=True)
  
  
  class QueryResponse(_messages.Message):
    """A QueryResponse object.
  
    Fields:
      cacheHit: Whether the query result was fetched from the query cache.
      errors: [Output-only] All errors and warnings encountered during the
        running of the job. Errors here do not necessarily mean that the job has
        completed or was unsuccessful.
      jobComplete: Whether the query has completed or not. If rows or totalRows
        are present, this will always be true. If this is false, totalRows will
        not be available.
      jobReference: Reference to the Job that was created to run the query. This
        field will be present even if the original request timed out, in which
        case GetQueryResults can be used to read the results once the query has
        completed. Since this API only returns the first page of results,
        subsequent pages can be fetched via the same mechanism
        (GetQueryResults).
      kind: The resource type.
      pageToken: A token used for paging results.
      rows: An object with as many results as can be contained within the
        maximum permitted reply size. To get any additional rows, you can call
        GetQueryResults and specify the jobReference returned above.
      schema: The schema of the results. Present only when the query completes
        successfully.
      totalBytesProcessed: The total number of bytes processed for this query.
        If this query was a dry run, this is the number of bytes that would be
        processed if the query were run.
      totalRows: The total number of rows in the complete query result set,
        which can be more than the number of rows in this single page of
        results.
    """
  
    cacheHit = _messages.BooleanField(1)
    errors = _messages.MessageField('ErrorProto', 2, repeated=True)
    jobComplete = _messages.BooleanField(3)
    jobReference = _messages.MessageField('JobReference', 4)
    kind = _messages.StringField(5, default=u'bigquery#queryResponse')
    pageToken = _messages.StringField(6)
    rows = _messages.MessageField('TableRow', 7, repeated=True)
    schema = _messages.MessageField('TableSchema', 8)
    totalBytesProcessed = _messages.IntegerField(9)
    totalRows = _messages.IntegerField(10, variant=_messages.Variant.UINT64)
  
  
  class StandardQueryParameters(_messages.Message):
    """Query parameters accepted by all methods.
  
    Enums:
      AltValueValuesEnum: Data format for the response.
  
    Fields:
      alt: Data format for the response.
      fields: Selector specifying which fields to include in a partial response.
      key: API key. Your API key identifies your project and provides you with
        API access, quota, and reports. Required unless you provide an OAuth 2.0
        token.
      oauth_token: OAuth 2.0 token for the current user.
      prettyPrint: Returns response with indentations and line breaks.
      quotaUser: Available to use for quota purposes for server-side
        applications. Can be any arbitrary string assigned to a user, but should
        not exceed 40 characters. Overrides userIp if both are provided.
      trace: A tracing token of the form "token:<tokenid>" to include in api
        requests.
      userIp: IP address of the site where the request originates. Use this if
        you want to enforce per-user limits.
    """
  
    class AltValueValuesEnum(_messages.Enum):
      """Data format for the response.
  
      Values:
        csv: Responses with Content-Type of text/csv
        json: Responses with Content-Type of application/json
      """
      csv = 0
      json = 1
  
    alt = _messages.EnumField('AltValueValuesEnum', 1, default=u'json')
    fields = _messages.StringField(2)
    key = _messages.StringField(3)
    oauth_token = _messages.StringField(4)
    prettyPrint = _messages.BooleanField(5, default=True)
    quotaUser = _messages.StringField(6)
    trace = _messages.StringField(7)
    userIp = _messages.StringField(8)
  
  
  class Streamingbuffer(_messages.Message):
    """A Streamingbuffer object.
  
    Fields:
      estimatedBytes: [Output-only] A lower-bound estimate of the number of
        bytes currently in the streaming buffer.
      estimatedRows: [Output-only] A lower-bound estimate of the number of rows
        currently in the streaming buffer.
      oldestEntryTime: [Output-only] Contains the timestamp of the oldest entry
        in the streaming buffer, in milliseconds since the epoch, if the
        streaming buffer is available.
    """
  
    estimatedBytes = _messages.IntegerField(1, variant=_messages.Variant.UINT64)
    estimatedRows = _messages.IntegerField(2, variant=_messages.Variant.UINT64)
    oldestEntryTime = _messages.IntegerField(3, variant=_messages.Variant.UINT64)
  
  
  class Table(_messages.Message):
    """A Table object.
  
    Fields:
      creationTime: [Output-only] The time when this table was created, in
        milliseconds since the epoch.
      description: [Optional] A user-friendly description of this table.
      etag: [Output-only] A hash of this resource.
      expirationTime: [Optional] The time when this table expires, in
        milliseconds since the epoch. If not present, the table will persist
        indefinitely. Expired tables will be deleted and their storage
        reclaimed.
      externalDataConfiguration: [Optional] Describes the data format, location,
        and other properties of a table stored outside of BigQuery. By defining
        these properties, the data source can then be queried as if it were a
        standard BigQuery table.
      friendlyName: [Optional] A descriptive name for this table.
      id: [Output-only] An opaque ID uniquely identifying the table.
      kind: [Output-only] The type of the resource.
      lastModifiedTime: [Output-only] The time when this table was last
        modified, in milliseconds since the epoch.
      location: [Output-only] The geographic location where the table resides.
        This value is inherited from the dataset.
      numBytes: [Output-only] The size of this table in bytes, excluding any
        data in the streaming buffer.
      numRows: [Output-only] The number of rows of data in this table, excluding
        any data in the streaming buffer.
      partitionConfigurations: [Experimental] List of partition configurations
        for this table. Currently only one configuration can be specified and it
        can only be an interval partition with type daily.
      schema: [Optional] Describes the schema of this table.
      selfLink: [Output-only] A URL that can be used to access this resource
        again.
      streamingBuffer: [Output-only] Contains information regarding this table's
        streaming buffer, if one is present. This field will be absent if the
        table is not being streamed to or if there is no data in the streaming
        buffer.
      tableReference: [Required] Reference describing the ID of this table.
      type: [Output-only] Describes the table type. The following values are
        supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined
        by a SQL query. EXTERNAL: A table that references data stored in an
        external storage system, such as Google Cloud Storage. The default value
        is TABLE.
      view: [Optional] The view definition.
    """
  
    creationTime = _messages.IntegerField(1)
    description = _messages.StringField(2)
    etag = _messages.StringField(3)
    expirationTime = _messages.IntegerField(4)
    externalDataConfiguration = _messages.MessageField('ExternalDataConfiguration', 5)
    friendlyName = _messages.StringField(6)
    id = _messages.StringField(7)
    kind = _messages.StringField(8, default=u'bigquery#table')
    lastModifiedTime = _messages.IntegerField(9, variant=_messages.Variant.UINT64)
    location = _messages.StringField(10)
    numBytes = _messages.IntegerField(11)
    numRows = _messages.IntegerField(12, variant=_messages.Variant.UINT64)
    partitionConfigurations = _messages.MessageField('TablePartitionConfiguration', 13, repeated=True)
    schema = _messages.MessageField('TableSchema', 14)
    selfLink = _messages.StringField(15)
    streamingBuffer = _messages.MessageField('Streamingbuffer', 16)
    tableReference = _messages.MessageField('TableReference', 17)
    type = _messages.StringField(18)
    view = _messages.MessageField('ViewDefinition', 19)
  
  
  class TableCell(_messages.Message):
    """A TableCell object.
  
    Fields:
      v: A extra_types.JsonValue attribute.
    """
  
    v = _messages.MessageField('extra_types.JsonValue', 1)
  
  
  class TableDataInsertAllRequest(_messages.Message):
    """A TableDataInsertAllRequest object.
  
    Messages:
      RowsValueListEntry: A RowsValueListEntry object.
  
    Fields:
      ignoreUnknownValues: [Optional] Accept rows that contain values that do
        not match the schema. The unknown values are ignored. Default is false,
        which treats unknown values as errors.
      kind: The resource type of the response.
      rows: The rows to insert.
      skipInvalidRows: [Optional] Insert all valid rows of a request, even if
        invalid rows exist. The default value is false, which causes the entire
        request to fail if any invalid rows exist.
      templateSuffix: [Experimental] If specified, treats the destination table
        as a base template, and inserts the rows into an instance table named
        "{destination}{templateSuffix}". BigQuery will manage creation of the
        instance table, using the schema of the base template table. See
        https://cloud.google.com/bigquery/streaming-data-into-bigquery#template-
        tables for considerations when working with templates tables.
    """
  
    class RowsValueListEntry(_messages.Message):
      """A RowsValueListEntry object.
  
      Fields:
        insertId: [Optional] A unique ID for each row. BigQuery uses this
          property to detect duplicate insertion requests on a best-effort
          basis.
        json: [Required] A JSON object that contains a row of data. The object's
          properties and values must match the destination table's schema.
      """
  
      insertId = _messages.StringField(1)
      json = _messages.MessageField('JsonObject', 2)
  
    ignoreUnknownValues = _messages.BooleanField(1)
    kind = _messages.StringField(2, default=u'bigquery#tableDataInsertAllRequest')
    rows = _messages.MessageField('RowsValueListEntry', 3, repeated=True)
    skipInvalidRows = _messages.BooleanField(4)
    templateSuffix = _messages.StringField(5)
  
  
  class TableDataInsertAllResponse(_messages.Message):
    """A TableDataInsertAllResponse object.
  
    Messages:
      InsertErrorsValueListEntry: A InsertErrorsValueListEntry object.
  
    Fields:
      insertErrors: An array of errors for rows that were not inserted.
      kind: The resource type of the response.
    """
  
    class InsertErrorsValueListEntry(_messages.Message):
      """A InsertErrorsValueListEntry object.
  
      Fields:
        errors: Error information for the row indicated by the index property.
        index: The index of the row that error applies to.
      """
  
      errors = _messages.MessageField('ErrorProto', 1, repeated=True)
      index = _messages.IntegerField(2, variant=_messages.Variant.UINT32)
  
    insertErrors = _messages.MessageField('InsertErrorsValueListEntry', 1, repeated=True)
    kind = _messages.StringField(2, default=u'bigquery#tableDataInsertAllResponse')
  
  
  class TableDataList(_messages.Message):
    """A TableDataList object.
  
    Fields:
      etag: A hash of this page of results.
      kind: The resource type of the response.
      pageToken: A token used for paging results. Providing this token instead
        of the startIndex parameter can help you retrieve stable results when an
        underlying table is changing.
      rows: Rows of results.
      totalRows: The total number of rows in the complete table.
    """
  
    etag = _messages.StringField(1)
    kind = _messages.StringField(2, default=u'bigquery#tableDataList')
    pageToken = _messages.StringField(3)
    rows = _messages.MessageField('TableRow', 4, repeated=True)
    totalRows = _messages.IntegerField(5)
  
  
  class TableFieldSchema(_messages.Message):
    """A TableFieldSchema object.
  
    Fields:
      description: [Optional] The field description. The maximum length is 16K
        characters.
      fields: [Optional] Describes the nested schema fields if the type property
        is set to RECORD.
      mode: [Optional] The field mode. Possible values include NULLABLE,
        REQUIRED and REPEATED. The default value is NULLABLE.
      name: [Required] The field name. The name must contain only letters (a-z,
        A-Z), numbers (0-9), or underscores (_), and must start with a letter or
        underscore. The maximum length is 128 characters.
      type: [Required] The field data type. Possible values include STRING,
        BYTES, INTEGER, FLOAT, BOOLEAN, TIMESTAMP or RECORD (where RECORD
        indicates that the field contains a nested schema).
    """
  
    description = _messages.StringField(1)
    fields = _messages.MessageField('TableFieldSchema', 2, repeated=True)
    mode = _messages.StringField(3)
    name = _messages.StringField(4)
    type = _messages.StringField(5)
  
  
  class TableList(_messages.Message):
    """A TableList object.
  
    Messages:
      TablesValueListEntry: A TablesValueListEntry object.
  
    Fields:
      etag: A hash of this page of results.
      kind: The type of list.
      nextPageToken: A token to request the next page of results.
      tables: Tables in the requested dataset.
      totalItems: The total number of tables in the dataset.
    """
  
    class TablesValueListEntry(_messages.Message):
      """A TablesValueListEntry object.
  
      Fields:
        friendlyName: The user-friendly name for this table.
        id: An opaque ID of the table
        kind: The resource type.
        tableReference: A reference uniquely identifying the table.
        type: The type of table. Possible values are: TABLE, VIEW.
      """
  
      friendlyName = _messages.StringField(1)
      id = _messages.StringField(2)
      kind = _messages.StringField(3, default=u'bigquery#table')
      tableReference = _messages.MessageField('TableReference', 4)
      type = _messages.StringField(5)
  
    etag = _messages.StringField(1)
    kind = _messages.StringField(2, default=u'bigquery#tableList')
    nextPageToken = _messages.StringField(3)
    tables = _messages.MessageField('TablesValueListEntry', 4, repeated=True)
    totalItems = _messages.IntegerField(5, variant=_messages.Variant.INT32)
  
  
  class TablePartitionConfiguration(_messages.Message):
    """[Required] A partition configuration. Only one type of partition should
    be configured.
  
    Fields:
      interval: [Pick one] Configures an interval partition.
    """
  
    interval = _messages.MessageField('IntervalPartitionConfiguration', 1)
  
  
  class TableReference(_messages.Message):
    """A TableReference object.
  
    Fields:
      datasetId: [Required] The ID of the dataset containing this table.
      projectId: [Required] The ID of the project containing this table.
      tableId: [Required] The ID of the table. The ID must contain only letters
        (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is
        1,024 characters.
    """
  
    datasetId = _messages.StringField(1)
    projectId = _messages.StringField(2)
    tableId = _messages.StringField(3)
  
  
  class TableRow(_messages.Message):
    """A TableRow object.
  
    Fields:
      f: Represents a single row in the result set, consisting of one or more
        fields.
    """
  
    f = _messages.MessageField('TableCell', 1, repeated=True)
  
  
  class TableSchema(_messages.Message):
    """A TableSchema object.
  
    Fields:
      fields: Describes the fields in a table.
    """
  
    fields = _messages.MessageField('TableFieldSchema', 1, repeated=True)
  
  
  class UserDefinedFunctionResource(_messages.Message):
    """A UserDefinedFunctionResource object.
  
    Fields:
      inlineCode: [Pick one] An inline resource that contains code for a user-
        defined function (UDF). Providing a inline code resource is equivalent
        to providing a URI for a file containing the same code.
      resourceUri: [Pick one] A code resource to load from a Google Cloud
        Storage URI (gs://bucket/path).
    """
  
    inlineCode = _messages.StringField(1)
    resourceUri = _messages.StringField(2)
  
  
  class ViewDefinition(_messages.Message):
    """A ViewDefinition object.
  
    Fields:
      query: [Required] A query that BigQuery executes when the view is
        referenced.
      userDefinedFunctionResources: [Experimental] Describes user-defined
        function resources used in the query.
    """
  
    query = _messages.StringField(1)
    userDefinedFunctionResources = _messages.MessageField('UserDefinedFunctionResource', 2, repeated=True)
  
  
  