// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/logging/v2/logging_metrics.proto

package com.google.logging.v2;

/**
 * <pre>
 * Describes a logs-based metric.  The value of the metric is the
 * number of log entries that match a logs filter in a given time interval.
 * Logs-based metric can also be used to extract values from logs and create a
 * a distribution of the values. The distribution records the statistics of the
 * extracted values along with an optional histogram of the values as specified
 * by the bucket options.
 * </pre>
 *
 * Protobuf type {@code google.logging.v2.LogMetric}
 */
public  final class LogMetric extends
    com.google.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:google.logging.v2.LogMetric)
    LogMetricOrBuilder {
private static final long serialVersionUID = 0L;
  // Use LogMetric.newBuilder() to construct.
  private LogMetric(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
  }
  private LogMetric() {
    name_ = "";
    description_ = "";
    filter_ = "";
    valueExtractor_ = "";
    version_ = 0;
  }

  @java.lang.Override
  public final com.google.protobuf.UnknownFieldSet
  getUnknownFields() {
    return this.unknownFields;
  }
  private LogMetric(
      com.google.protobuf.CodedInputStream input,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    this();
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            description_ = s;
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          case 26: {
            java.lang.String s = input.readStringRequireUtf8();

            filter_ = s;
            break;
          }
          case 32: {
            int rawValue = input.readEnum();

            version_ = rawValue;
            break;
          }
          case 42: {
            com.google.api.MetricDescriptor.Builder subBuilder = null;
            if (metricDescriptor_ != null) {
              subBuilder = metricDescriptor_.toBuilder();
            }
            metricDescriptor_ = input.readMessage(com.google.api.MetricDescriptor.parser(), extensionRegistry);
            if (subBuilder != null) {
              subBuilder.mergeFrom(metricDescriptor_);
              metricDescriptor_ = subBuilder.buildPartial();
            }

            break;
          }
          case 50: {
            java.lang.String s = input.readStringRequireUtf8();

            valueExtractor_ = s;
            break;
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                LabelExtractorsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
            labelExtractors_.getMutableMap().put(
                labelExtractors__.getKey(), labelExtractors__.getValue());
            break;
          }
          case 66: {
            com.google.api.Distribution.BucketOptions.Builder subBuilder = null;
            if (bucketOptions_ != null) {
              subBuilder = bucketOptions_.toBuilder();
            }
            bucketOptions_ = input.readMessage(com.google.api.Distribution.BucketOptions.parser(), extensionRegistry);
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              subBuilder.mergeFrom(bucketOptions_);
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  public static final com.google.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return com.google.logging.v2.LoggingMetricsProto.internal_static_google_logging_v2_LogMetric_descriptor;
  }

  @SuppressWarnings({"rawtypes"})
  @java.lang.Override
  protected com.google.protobuf.MapField internalGetMapField(
      int number) {
    switch (number) {
      case 7:
        return internalGetLabelExtractors();
      default:
        throw new RuntimeException(
            "Invalid map field number: " + number);
    }
  }
  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return com.google.logging.v2.LoggingMetricsProto.internal_static_google_logging_v2_LogMetric_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            com.google.logging.v2.LogMetric.class, com.google.logging.v2.LogMetric.Builder.class);
  }

  /**
   * <pre>
   * Logging API version.
   * </pre>
   *
   * Protobuf enum {@code google.logging.v2.LogMetric.ApiVersion}
   */
  public enum ApiVersion
      implements com.google.protobuf.ProtocolMessageEnum {
    /**
     * <pre>
     * Logging API v2.
     * </pre>
     *
     * <code>V2 = 0;</code>
     */
    V2(0),
    /**
     * <pre>
     * Logging API v1.
     * </pre>
     *
     * <code>V1 = 1;</code>
     */
    V1(1),
    UNRECOGNIZED(-1),
    ;

    /**
     * <pre>
     * Logging API v2.
     * </pre>
     *
     * <code>V2 = 0;</code>
     */
    public static final int V2_VALUE = 0;
    /**
     * <pre>
     * Logging API v1.
     * </pre>
     *
     * <code>V1 = 1;</code>
     */
    public static final int V1_VALUE = 1;


    public final int getNumber() {
      if (this == UNRECOGNIZED) {
        throw new java.lang.IllegalArgumentException(
            "Can't get the number of an unknown enum value.");
      }
      return value;
    }

    /**
     * @deprecated Use {@link #forNumber(int)} instead.
     */
    @java.lang.Deprecated
    public static ApiVersion valueOf(int value) {
      return forNumber(value);
    }

    public static ApiVersion forNumber(int value) {
      switch (value) {
        case 0: return V2;
        case 1: return V1;
        default: return null;
      }
    }

    public static com.google.protobuf.Internal.EnumLiteMap<ApiVersion>
        internalGetValueMap() {
      return internalValueMap;
    }
    private static final com.google.protobuf.Internal.EnumLiteMap<
        ApiVersion> internalValueMap =
          new com.google.protobuf.Internal.EnumLiteMap<ApiVersion>() {
            public ApiVersion findValueByNumber(int number) {
              return ApiVersion.forNumber(number);
            }
          };

    public final com.google.protobuf.Descriptors.EnumValueDescriptor
        getValueDescriptor() {
      return getDescriptor().getValues().get(ordinal());
    }
    public final com.google.protobuf.Descriptors.EnumDescriptor
        getDescriptorForType() {
      return getDescriptor();
    }
    public static final com.google.protobuf.Descriptors.EnumDescriptor
        getDescriptor() {
      return com.google.logging.v2.LogMetric.getDescriptor().getEnumTypes().get(0);
    }

    private static final ApiVersion[] VALUES = values();

    public static ApiVersion valueOf(
        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
      if (desc.getType() != getDescriptor()) {
        throw new java.lang.IllegalArgumentException(
          "EnumValueDescriptor is not for this type.");
      }
      if (desc.getIndex() == -1) {
        return UNRECOGNIZED;
      }
      return VALUES[desc.getIndex()];
    }

    private final int value;

    private ApiVersion(int value) {
      this.value = value;
    }

    // @@protoc_insertion_point(enum_scope:google.logging.v2.LogMetric.ApiVersion)
  }

  private int bitField0_;
  public static final int NAME_FIELD_NUMBER = 1;
  private volatile java.lang.Object name_;
  /**
   * <pre>
   * Required. The client-assigned metric identifier.
   * Examples: `"error_count"`, `"nginx/requests"`.
   * Metric identifiers are limited to 100 characters and can include
   * only the following characters: `A-Z`, `a-z`, `0-9`, and the
   * special characters `_-.,+!*',()%/`.  The forward-slash character
   * (`/`) denotes a hierarchy of name pieces, and it cannot be the
   * first character of the name.
   * The metric identifier in this field must not be
   * [URL-encoded](https://en.wikipedia.org/wiki/Percent-encoding).
   * However, when the metric identifier appears as the `[METRIC_ID]`
   * part of a `metric_name` API parameter, then the metric identifier
   * must be URL-encoded. Example:
   * `"projects/my-project/metrics/nginx%2Frequests"`.
   * </pre>
   *
   * <code>string name = 1;</code>
   */
  public java.lang.String getName() {
    java.lang.Object ref = name_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = 
          (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      name_ = s;
      return s;
    }
  }
  /**
   * <pre>
   * Required. The client-assigned metric identifier.
   * Examples: `"error_count"`, `"nginx/requests"`.
   * Metric identifiers are limited to 100 characters and can include
   * only the following characters: `A-Z`, `a-z`, `0-9`, and the
   * special characters `_-.,+!*',()%/`.  The forward-slash character
   * (`/`) denotes a hierarchy of name pieces, and it cannot be the
   * first character of the name.
   * The metric identifier in this field must not be
   * [URL-encoded](https://en.wikipedia.org/wiki/Percent-encoding).
   * However, when the metric identifier appears as the `[METRIC_ID]`
   * part of a `metric_name` API parameter, then the metric identifier
   * must be URL-encoded. Example:
   * `"projects/my-project/metrics/nginx%2Frequests"`.
   * </pre>
   *
   * <code>string name = 1;</code>
   */
  public com.google.protobuf.ByteString
      getNameBytes() {
    java.lang.Object ref = name_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b = 
          com.google.protobuf.ByteString.copyFromUtf8(
              (java.lang.String) ref);
      name_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int DESCRIPTION_FIELD_NUMBER = 2;
  private volatile java.lang.Object description_;
  /**
   * <pre>
   * Optional. A description of this metric, which is used in documentation.
   * </pre>
   *
   * <code>string description = 2;</code>
   */
  public java.lang.String getDescription() {
    java.lang.Object ref = description_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = 
          (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      description_ = s;
      return s;
    }
  }
  /**
   * <pre>
   * Optional. A description of this metric, which is used in documentation.
   * </pre>
   *
   * <code>string description = 2;</code>
   */
  public com.google.protobuf.ByteString
      getDescriptionBytes() {
    java.lang.Object ref = description_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b = 
          com.google.protobuf.ByteString.copyFromUtf8(
              (java.lang.String) ref);
      description_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int FILTER_FIELD_NUMBER = 3;
  private volatile java.lang.Object filter_;
  /**
   * <pre>
   * Required. An [advanced logs filter](/logging/docs/view/advanced_filters)
   * which is used to match log entries.
   * Example:
   *     "resource.type=gae_app AND severity&gt;=ERROR"
   * The maximum length of the filter is 20000 characters.
   * </pre>
   *
   * <code>string filter = 3;</code>
   */
  public java.lang.String getFilter() {
    java.lang.Object ref = filter_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = 
          (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      filter_ = s;
      return s;
    }
  }
  /**
   * <pre>
   * Required. An [advanced logs filter](/logging/docs/view/advanced_filters)
   * which is used to match log entries.
   * Example:
   *     "resource.type=gae_app AND severity&gt;=ERROR"
   * The maximum length of the filter is 20000 characters.
   * </pre>
   *
   * <code>string filter = 3;</code>
   */
  public com.google.protobuf.ByteString
      getFilterBytes() {
    java.lang.Object ref = filter_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b = 
          com.google.protobuf.ByteString.copyFromUtf8(
              (java.lang.String) ref);
      filter_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int METRIC_DESCRIPTOR_FIELD_NUMBER = 5;
  private com.google.api.MetricDescriptor metricDescriptor_;
  /**
   * <pre>
   * Optional. The metric descriptor associated with the logs-based metric.
   * If unspecified, it uses a default metric descriptor with a DELTA metric
   * kind, INT64 value type, with no labels and a unit of "1". Such a metric
   * counts the number of log entries matching the `filter` expression.
   * The `name`, `type`, and `description` fields in the `metric_descriptor`
   * are output only, and is constructed using the `name` and `description`
   * field in the LogMetric.
   * To create a logs-based metric that records a distribution of log values, a
   * DELTA metric kind with a DISTRIBUTION value type must be used along with
   * a `value_extractor` expression in the LogMetric.
   * Each label in the metric descriptor must have a matching label
   * name as the key and an extractor expression as the value in the
   * `label_extractors` map.
   * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
   * be updated once initially configured. New labels can be added in the
   * `metric_descriptor`, but existing labels cannot be modified except for
   * their description.
   * </pre>
   *
   * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
   */
  public boolean hasMetricDescriptor() {
    return metricDescriptor_ != null;
  }
  /**
   * <pre>
   * Optional. The metric descriptor associated with the logs-based metric.
   * If unspecified, it uses a default metric descriptor with a DELTA metric
   * kind, INT64 value type, with no labels and a unit of "1". Such a metric
   * counts the number of log entries matching the `filter` expression.
   * The `name`, `type`, and `description` fields in the `metric_descriptor`
   * are output only, and is constructed using the `name` and `description`
   * field in the LogMetric.
   * To create a logs-based metric that records a distribution of log values, a
   * DELTA metric kind with a DISTRIBUTION value type must be used along with
   * a `value_extractor` expression in the LogMetric.
   * Each label in the metric descriptor must have a matching label
   * name as the key and an extractor expression as the value in the
   * `label_extractors` map.
   * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
   * be updated once initially configured. New labels can be added in the
   * `metric_descriptor`, but existing labels cannot be modified except for
   * their description.
   * </pre>
   *
   * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
   */
  public com.google.api.MetricDescriptor getMetricDescriptor() {
    return metricDescriptor_ == null ? com.google.api.MetricDescriptor.getDefaultInstance() : metricDescriptor_;
  }
  /**
   * <pre>
   * Optional. The metric descriptor associated with the logs-based metric.
   * If unspecified, it uses a default metric descriptor with a DELTA metric
   * kind, INT64 value type, with no labels and a unit of "1". Such a metric
   * counts the number of log entries matching the `filter` expression.
   * The `name`, `type`, and `description` fields in the `metric_descriptor`
   * are output only, and is constructed using the `name` and `description`
   * field in the LogMetric.
   * To create a logs-based metric that records a distribution of log values, a
   * DELTA metric kind with a DISTRIBUTION value type must be used along with
   * a `value_extractor` expression in the LogMetric.
   * Each label in the metric descriptor must have a matching label
   * name as the key and an extractor expression as the value in the
   * `label_extractors` map.
   * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
   * be updated once initially configured. New labels can be added in the
   * `metric_descriptor`, but existing labels cannot be modified except for
   * their description.
   * </pre>
   *
   * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
   */
  public com.google.api.MetricDescriptorOrBuilder getMetricDescriptorOrBuilder() {
    return getMetricDescriptor();
  }

  public static final int VALUE_EXTRACTOR_FIELD_NUMBER = 6;
  private volatile java.lang.Object valueExtractor_;
  /**
   * <pre>
   * Optional. A `value_extractor` is required when using a distribution
   * logs-based metric to extract the values to record from a log entry.
   * Two functions are supported for value extraction: `EXTRACT(field)` or
   * `REGEXP_EXTRACT(field, regex)`. The argument are:
   *   1. field: The name of the log entry field from which the value is to be
   *      extracted.
   *   2. regex: A regular expression using the Google RE2 syntax
   *      (https://github.com/google/re2/wiki/Syntax) with a single capture
   *      group to extract data from the specified log entry field. The value
   *      of the field is converted to a string before applying the regex.
   *      It is an error to specify a regex that does not include exactly one
   *      capture group.
   * The result of the extraction must be convertible to a double type, as the
   * distribution always records double values. If either the extraction or
   * the conversion to double fails, then those values are not recorded in the
   * distribution.
   * Example: `REGEXP_EXTRACT(jsonPayload.request, ".*quantity=(&#92;d+).*")`
   * </pre>
   *
   * <code>string value_extractor = 6;</code>
   */
  public java.lang.String getValueExtractor() {
    java.lang.Object ref = valueExtractor_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = 
          (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      valueExtractor_ = s;
      return s;
    }
  }
  /**
   * <pre>
   * Optional. A `value_extractor` is required when using a distribution
   * logs-based metric to extract the values to record from a log entry.
   * Two functions are supported for value extraction: `EXTRACT(field)` or
   * `REGEXP_EXTRACT(field, regex)`. The argument are:
   *   1. field: The name of the log entry field from which the value is to be
   *      extracted.
   *   2. regex: A regular expression using the Google RE2 syntax
   *      (https://github.com/google/re2/wiki/Syntax) with a single capture
   *      group to extract data from the specified log entry field. The value
   *      of the field is converted to a string before applying the regex.
   *      It is an error to specify a regex that does not include exactly one
   *      capture group.
   * The result of the extraction must be convertible to a double type, as the
   * distribution always records double values. If either the extraction or
   * the conversion to double fails, then those values are not recorded in the
   * distribution.
   * Example: `REGEXP_EXTRACT(jsonPayload.request, ".*quantity=(&#92;d+).*")`
   * </pre>
   *
   * <code>string value_extractor = 6;</code>
   */
  public com.google.protobuf.ByteString
      getValueExtractorBytes() {
    java.lang.Object ref = valueExtractor_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b = 
          com.google.protobuf.ByteString.copyFromUtf8(
              (java.lang.String) ref);
      valueExtractor_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int LABEL_EXTRACTORS_FIELD_NUMBER = 7;
  private static final class LabelExtractorsDefaultEntryHolder {
    static final com.google.protobuf.MapEntry<
        java.lang.String, java.lang.String> defaultEntry =
            com.google.protobuf.MapEntry
            .<java.lang.String, java.lang.String>newDefaultInstance(
                com.google.logging.v2.LoggingMetricsProto.internal_static_google_logging_v2_LogMetric_LabelExtractorsEntry_descriptor, 
                com.google.protobuf.WireFormat.FieldType.STRING,
                "",
                com.google.protobuf.WireFormat.FieldType.STRING,
                "");
  }
  private com.google.protobuf.MapField<
      java.lang.String, java.lang.String> labelExtractors_;
  private com.google.protobuf.MapField<java.lang.String, java.lang.String>
  internalGetLabelExtractors() {
    if (labelExtractors_ == null) {
      return com.google.protobuf.MapField.emptyMapField(
          LabelExtractorsDefaultEntryHolder.defaultEntry);
    }
    return labelExtractors_;
  }

  public int getLabelExtractorsCount() {
    return internalGetLabelExtractors().getMap().size();
  }
  /**
   * <pre>
   * Optional. A map from a label key string to an extractor expression which is
   * used to extract data from a log entry field and assign as the label value.
   * Each label key specified in the LabelDescriptor must have an associated
   * extractor expression in this map. The syntax of the extractor expression
   * is the same as for the `value_extractor` field.
   * The extracted value is converted to the type defined in the label
   * descriptor. If the either the extraction or the type conversion fails,
   * the label will have a default value. The default value for a string
   * label is an empty string, for an integer label its 0, and for a boolean
   * label its `false`.
   * Note that there are upper bounds on the maximum number of labels and the
   * number of active time series that are allowed in a project.
   * </pre>
   *
   * <code>map&lt;string, string&gt; label_extractors = 7;</code>
   */

  public boolean containsLabelExtractors(
      java.lang.String key) {
    if (key == null) { throw new java.lang.NullPointerException(); }
    return internalGetLabelExtractors().getMap().containsKey(key);
  }
  /**
   * Use {@link #getLabelExtractorsMap()} instead.
   */
  @java.lang.Deprecated
  public java.util.Map<java.lang.String, java.lang.String> getLabelExtractors() {
    return getLabelExtractorsMap();
  }
  /**
   * <pre>
   * Optional. A map from a label key string to an extractor expression which is
   * used to extract data from a log entry field and assign as the label value.
   * Each label key specified in the LabelDescriptor must have an associated
   * extractor expression in this map. The syntax of the extractor expression
   * is the same as for the `value_extractor` field.
   * The extracted value is converted to the type defined in the label
   * descriptor. If the either the extraction or the type conversion fails,
   * the label will have a default value. The default value for a string
   * label is an empty string, for an integer label its 0, and for a boolean
   * label its `false`.
   * Note that there are upper bounds on the maximum number of labels and the
   * number of active time series that are allowed in a project.
   * </pre>
   *
   * <code>map&lt;string, string&gt; label_extractors = 7;</code>
   */

  public java.util.Map<java.lang.String, java.lang.String> getLabelExtractorsMap() {
    return internalGetLabelExtractors().getMap();
  }
  /**
   * <pre>
   * Optional. A map from a label key string to an extractor expression which is
   * used to extract data from a log entry field and assign as the label value.
   * Each label key specified in the LabelDescriptor must have an associated
   * extractor expression in this map. The syntax of the extractor expression
   * is the same as for the `value_extractor` field.
   * The extracted value is converted to the type defined in the label
   * descriptor. If the either the extraction or the type conversion fails,
   * the label will have a default value. The default value for a string
   * label is an empty string, for an integer label its 0, and for a boolean
   * label its `false`.
   * Note that there are upper bounds on the maximum number of labels and the
   * number of active time series that are allowed in a project.
   * </pre>
   *
   * <code>map&lt;string, string&gt; label_extractors = 7;</code>
   */

  public java.lang.String getLabelExtractorsOrDefault(
      java.lang.String key,
      java.lang.String defaultValue) {
    if (key == null) { throw new java.lang.NullPointerException(); }
    java.util.Map<java.lang.String, java.lang.String> map =
        internalGetLabelExtractors().getMap();
    return map.containsKey(key) ? map.get(key) : defaultValue;
  }
  /**
   * <pre>
   * Optional. A map from a label key string to an extractor expression which is
   * used to extract data from a log entry field and assign as the label value.
   * Each label key specified in the LabelDescriptor must have an associated
   * extractor expression in this map. The syntax of the extractor expression
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     * only the following characters: `A-Z`, `a-z`, `0-9`, and the
     * special characters `_-.,+!*',()%/`.  The forward-slash character
     * (`/`) denotes a hierarchy of name pieces, and it cannot be the
     * first character of the name.
     * The metric identifier in this field must not be
     * [URL-encoded](https://en.wikipedia.org/wiki/Percent-encoding).
     * However, when the metric identifier appears as the `[METRIC_ID]`
     * part of a `metric_name` API parameter, then the metric identifier
     * must be URL-encoded. Example:
     * `"projects/my-project/metrics/nginx%2Frequests"`.
     * </pre>
     *
     * <code>string name = 1;</code>
     */
    public Builder setNameBytes(
        com.google.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      name_ = value;
      onChanged();
      return this;
    }

    private java.lang.Object description_ = "";
    /**
     * <pre>
     * Optional. A description of this metric, which is used in documentation.
     * </pre>
     *
     * <code>string description = 2;</code>
     */
    public java.lang.String getDescription() {
      java.lang.Object ref = description_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs =
            (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        description_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     * <pre>
     * Optional. A description of this metric, which is used in documentation.
     * </pre>
     *
     * <code>string description = 2;</code>
     */
    public com.google.protobuf.ByteString
        getDescriptionBytes() {
      java.lang.Object ref = description_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b = 
            com.google.protobuf.ByteString.copyFromUtf8(
                (java.lang.String) ref);
        description_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     * <pre>
     * Optional. A description of this metric, which is used in documentation.
     * </pre>
     *
     * <code>string description = 2;</code>
     */
    public Builder setDescription(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  
      description_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Optional. A description of this metric, which is used in documentation.
     * </pre>
     *
     * <code>string description = 2;</code>
     */
    public Builder clearDescription() {
      
      description_ = getDefaultInstance().getDescription();
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Optional. A description of this metric, which is used in documentation.
     * </pre>
     *
     * <code>string description = 2;</code>
     */
    public Builder setDescriptionBytes(
        com.google.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      description_ = value;
      onChanged();
      return this;
    }

    private java.lang.Object filter_ = "";
    /**
     * <pre>
     * Required. An [advanced logs filter](/logging/docs/view/advanced_filters)
     * which is used to match log entries.
     * Example:
     *     "resource.type=gae_app AND severity&gt;=ERROR"
     * The maximum length of the filter is 20000 characters.
     * </pre>
     *
     * <code>string filter = 3;</code>
     */
    public java.lang.String getFilter() {
      java.lang.Object ref = filter_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs =
            (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        filter_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     * <pre>
     * Required. An [advanced logs filter](/logging/docs/view/advanced_filters)
     * which is used to match log entries.
     * Example:
     *     "resource.type=gae_app AND severity&gt;=ERROR"
     * The maximum length of the filter is 20000 characters.
     * </pre>
     *
     * <code>string filter = 3;</code>
     */
    public com.google.protobuf.ByteString
        getFilterBytes() {
      java.lang.Object ref = filter_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b = 
            com.google.protobuf.ByteString.copyFromUtf8(
                (java.lang.String) ref);
        filter_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     * <pre>
     * Required. An [advanced logs filter](/logging/docs/view/advanced_filters)
     * which is used to match log entries.
     * Example:
     *     "resource.type=gae_app AND severity&gt;=ERROR"
     * The maximum length of the filter is 20000 characters.
     * </pre>
     *
     * <code>string filter = 3;</code>
     */
    public Builder setFilter(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  
      filter_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Required. An [advanced logs filter](/logging/docs/view/advanced_filters)
     * which is used to match log entries.
     * Example:
     *     "resource.type=gae_app AND severity&gt;=ERROR"
     * The maximum length of the filter is 20000 characters.
     * </pre>
     *
     * <code>string filter = 3;</code>
     */
    public Builder clearFilter() {
      
      filter_ = getDefaultInstance().getFilter();
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Required. An [advanced logs filter](/logging/docs/view/advanced_filters)
     * which is used to match log entries.
     * Example:
     *     "resource.type=gae_app AND severity&gt;=ERROR"
     * The maximum length of the filter is 20000 characters.
     * </pre>
     *
     * <code>string filter = 3;</code>
     */
    public Builder setFilterBytes(
        com.google.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      filter_ = value;
      onChanged();
      return this;
    }

    private com.google.api.MetricDescriptor metricDescriptor_ = null;
    private com.google.protobuf.SingleFieldBuilderV3<
        com.google.api.MetricDescriptor, com.google.api.MetricDescriptor.Builder, com.google.api.MetricDescriptorOrBuilder> metricDescriptorBuilder_;
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public boolean hasMetricDescriptor() {
      return metricDescriptorBuilder_ != null || metricDescriptor_ != null;
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public com.google.api.MetricDescriptor getMetricDescriptor() {
      if (metricDescriptorBuilder_ == null) {
        return metricDescriptor_ == null ? com.google.api.MetricDescriptor.getDefaultInstance() : metricDescriptor_;
      } else {
        return metricDescriptorBuilder_.getMessage();
      }
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public Builder setMetricDescriptor(com.google.api.MetricDescriptor value) {
      if (metricDescriptorBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        metricDescriptor_ = value;
        onChanged();
      } else {
        metricDescriptorBuilder_.setMessage(value);
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public Builder setMetricDescriptor(
        com.google.api.MetricDescriptor.Builder builderForValue) {
      if (metricDescriptorBuilder_ == null) {
        metricDescriptor_ = builderForValue.build();
        onChanged();
      } else {
        metricDescriptorBuilder_.setMessage(builderForValue.build());
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public Builder mergeMetricDescriptor(com.google.api.MetricDescriptor value) {
      if (metricDescriptorBuilder_ == null) {
        if (metricDescriptor_ != null) {
          metricDescriptor_ =
            com.google.api.MetricDescriptor.newBuilder(metricDescriptor_).mergeFrom(value).buildPartial();
        } else {
          metricDescriptor_ = value;
        }
        onChanged();
      } else {
        metricDescriptorBuilder_.mergeFrom(value);
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public Builder clearMetricDescriptor() {
      if (metricDescriptorBuilder_ == null) {
        metricDescriptor_ = null;
        onChanged();
      } else {
        metricDescriptor_ = null;
        metricDescriptorBuilder_ = null;
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public com.google.api.MetricDescriptor.Builder getMetricDescriptorBuilder() {
      
      onChanged();
      return getMetricDescriptorFieldBuilder().getBuilder();
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    public com.google.api.MetricDescriptorOrBuilder getMetricDescriptorOrBuilder() {
      if (metricDescriptorBuilder_ != null) {
        return metricDescriptorBuilder_.getMessageOrBuilder();
      } else {
        return metricDescriptor_ == null ?
            com.google.api.MetricDescriptor.getDefaultInstance() : metricDescriptor_;
      }
    }
    /**
     * <pre>
     * Optional. The metric descriptor associated with the logs-based metric.
     * If unspecified, it uses a default metric descriptor with a DELTA metric
     * kind, INT64 value type, with no labels and a unit of "1". Such a metric
     * counts the number of log entries matching the `filter` expression.
     * The `name`, `type`, and `description` fields in the `metric_descriptor`
     * are output only, and is constructed using the `name` and `description`
     * field in the LogMetric.
     * To create a logs-based metric that records a distribution of log values, a
     * DELTA metric kind with a DISTRIBUTION value type must be used along with
     * a `value_extractor` expression in the LogMetric.
     * Each label in the metric descriptor must have a matching label
     * name as the key and an extractor expression as the value in the
     * `label_extractors` map.
     * The `metric_kind` and `value_type` fields in the `metric_descriptor` cannot
     * be updated once initially configured. New labels can be added in the
     * `metric_descriptor`, but existing labels cannot be modified except for
     * their description.
     * </pre>
     *
     * <code>.google.api.MetricDescriptor metric_descriptor = 5;</code>
     */
    private com.google.protobuf.SingleFieldBuilderV3<
        com.google.api.MetricDescriptor, com.google.api.MetricDescriptor.Builder, com.google.api.MetricDescriptorOrBuilder> 
        getMetricDescriptorFieldBuilder() {
      if (metricDescriptorBuilder_ == null) {
        metricDescriptorBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
            com.google.api.MetricDescriptor, com.google.api.MetricDescriptor.Builder, com.google.api.MetricDescriptorOrBuilder>(
                getMetricDescriptor(),
                getParentForChildren(),
                isClean());
        metricDescriptor_ = null;
      }
      return metricDescriptorBuilder_;
    }

    private java.lang.Object valueExtractor_ = "";
    /**
     * <pre>
     * Optional. A `value_extractor` is required when using a distribution
     * logs-based metric to extract the values to record from a log entry.
     * Two functions are supported for value extraction: `EXTRACT(field)` or
     * `REGEXP_EXTRACT(field, regex)`. The argument are:
     *   1. field: The name of the log entry field from which the value is to be
     *      extracted.
     *   2. regex: A regular expression using the Google RE2 syntax
     *      (https://github.com/google/re2/wiki/Syntax) with a single capture
     *      group to extract data from the specified log entry field. The value
     *      of the field is converted to a string before applying the regex.
     *      It is an error to specify a regex that does not include exactly one
     *      capture group.
     * The result of the extraction must be convertible to a double type, as the
     * distribution always records double values. If either the extraction or
     * the conversion to double fails, then those values are not recorded in the
     * distribution.
     * Example: `REGEXP_EXTRACT(jsonPayload.request, ".*quantity=(&#92;d+).*")`
     * </pre>
     *
     * <code>string value_extractor = 6;</code>
     */
    public java.lang.String getValueExtractor() {
      java.lang.Object ref = valueExtractor_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs =
            (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        valueExtractor_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     * <pre>
     * Optional. A `value_extractor` is required when using a distribution
     * logs-based metric to extract the values to record from a log entry.
     * Two functions are supported for value extraction: `EXTRACT(field)` or
     * `REGEXP_EXTRACT(field, regex)`. The argument are:
     *   1. field: The name of the log entry field from which the value is to be
     *      extracted.
     *   2. regex: A regular expression using the Google RE2 syntax
     *      (https://github.com/google/re2/wiki/Syntax) with a single capture
     *      group to extract data from the specified log entry field. The value
     *      of the field is converted to a string before applying the regex.
     *      It is an error to specify a regex that does not include exactly one
     *      capture group.
     * The result of the extraction must be convertible to a double type, as the
     * distribution always records double values. If either the extraction or
     * the conversion to double fails, then those values are not recorded in the
     * distribution.
     * Example: `REGEXP_EXTRACT(jsonPayload.request, ".*quantity=(&#92;d+).*")`
     * </pre>
     *
     * <code>string value_extractor = 6;</code>
     */
    public com.google.protobuf.ByteString
        getValueExtractorBytes() {
      java.lang.Object ref = valueExtractor_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b = 
            com.google.protobuf.ByteString.copyFromUtf8(
                (java.lang.String) ref);
        valueExtractor_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     * <pre>
     * Optional. A `value_extractor` is required when using a distribution
     * logs-based metric to extract the values to record from a log entry.
     * Two functions are supported for value extraction: `EXTRACT(field)` or
     * `REGEXP_EXTRACT(field, regex)`. The argument are:
     *   1. field: The name of the log entry field from which the value is to be
     *      extracted.
     *   2. regex: A regular expression using the Google RE2 syntax
     *      (https://github.com/google/re2/wiki/Syntax) with a single capture
     *      group to extract data from the specified log entry field. The value
     *      of the field is converted to a string before applying the regex.
     *      It is an error to specify a regex that does not include exactly one
     *      capture group.
     * The result of the extraction must be convertible to a double type, as the
     * distribution always records double values. If either the extraction or
     * the conversion to double fails, then those values are not recorded in the
     * distribution.
     * Example: `REGEXP_EXTRACT(jsonPayload.request, ".*quantity=(&#92;d+).*")`
     * </pre>
     *
     * <code>string value_extractor = 6;</code>
     */
    public Builder setValueExtractor(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  
      valueExtractor_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Optional. A `value_extractor` is required when using a distribution
     * logs-based metric to extract the values to record from a log entry.
     * Two functions are supported for value extraction: `EXTRACT(field)` or
     * `REGEXP_EXTRACT(field, regex)`. The argument are:
     *   1. field: The name of the log entry field from which the value is to be
     *      extracted.
     *   2. regex: A regular expression using the Google RE2 syntax
     *      (https://github.com/google/re2/wiki/Syntax) with a single capture
     *      group to extract data from the specified log entry field. The value
     *      of the field is converted to a string before applying the regex.
     *      It is an error to specify a regex that does not include exactly one
     *      capture group.
     * The result of the extraction must be convertible to a double type, as the
     * distribution always records double values. If either the extraction or
     * the conversion to double fails, then those values are not recorded in the
     * distribution.
     * Example: `REGEXP_EXTRACT(jsonPayload.request, ".*quantity=(&#92;d+).*")`
     * </pre>
     *
     * <code>string value_extractor = 6;</code>
     */
    public Builder clearValueExtractor() {
      
      valueExtractor_ = getDefaultInstance().getValueExtractor();
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Optional. A `value_extractor` is required when using a distribution
     * logs-based metric to extract the values to record from a log entry.
     * Two functions are supported for value extraction: `EXTRACT(field)` or
     * `REGEXP_EXTRACT(field, regex)`. The argument are:
     *   1. field: The name of the log entry field from which the value is to be
     *      extracted.
     *   2. regex: A regular expression using the Google RE2 syntax
     *      (https://github.com/google/re2/wiki/Syntax) with a single capture
     *      group to extract data from the specified log entry field. The value
     *      of the field is converted to a string before applying the regex.
     *      It is an error to specify a regex that does not include exactly one
     *      capture group.
     * The result of the extraction must be convertible to a double type, as the
     * distribution always records double values. If either the extraction or
     * the conversion to double fails, then those values are not recorded in the
     * distribution.
     * Example: `REGEXP_EXTRACT(jsonPayload.request, ".*quantity=(&#92;d+).*")`
     * </pre>
     *
     * <code>string value_extractor = 6;</code>
     */
    public Builder setValueExtractorBytes(
        com.google.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      valueExtractor_ = value;
      onChanged();
      return this;
    }

    private com.google.protobuf.MapField<
        java.lang.String, java.lang.String> labelExtractors_;
    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
    internalGetLabelExtractors() {
      if (labelExtractors_ == null) {
        return com.google.protobuf.MapField.emptyMapField(
            LabelExtractorsDefaultEntryHolder.defaultEntry);
      }
      return labelExtractors_;
    }
    private com.google.protobuf.MapField<java.lang.String, java.lang.String>
    internalGetMutableLabelExtractors() {
      onChanged();;
      if (labelExtractors_ == null) {
        labelExtractors_ = com.google.protobuf.MapField.newMapField(
            LabelExtractorsDefaultEntryHolder.defaultEntry);
      }
      if (!labelExtractors_.isMutable()) {
        labelExtractors_ = labelExtractors_.copy();
      }
      return labelExtractors_;
    }

    public int getLabelExtractorsCount() {
      return internalGetLabelExtractors().getMap().size();
    }
    /**
     * <pre>
     * Optional. A map from a label key string to an extractor expression which is
     * used to extract data from a log entry field and assign as the label value.
     * Each label key specified in the LabelDescriptor must have an associated
     * extractor expression in this map. The syntax of the extractor expression
     * is the same as for the `value_extractor` field.
     * The extracted value is converted to the type defined in the label
     * descriptor. If the either the extraction or the type conversion fails,
     * the label will have a default value. The default value for a string
     * label is an empty string, for an integer label its 0, and for a boolean
     * label its `false`.
     * Note that there are upper bounds on the maximum number of labels and the
     * number of active time series that are allowed in a project.
     * </pre>
     *
     * <code>map&lt;string, string&gt; label_extractors = 7;</code>
     */

    public boolean containsLabelExtractors(
        java.lang.String key) {
      if (key == null) { throw new java.lang.NullPointerException(); }
      return internalGetLabelExtractors().getMap().containsKey(key);
    }
    /**
     * Use {@link #getLabelExtractorsMap()} instead.
     */
    @java.lang.Deprecated
    public java.util.Map<java.lang.String, java.lang.String> getLabelExtractors() {
      return getLabelExtractorsMap();
    }
    /**
     * <pre>
     * Optional. A map from a label key string to an extractor expression which is
     * used to extract data from a log entry field and assign as the label value.
     * Each label key specified in the LabelDescriptor must have an associated
     * extractor expression in this map. The syntax of the extractor expression
     * is the same as for the `value_extractor` field.
     * The extracted value is converted to the type defined in the label
     * descriptor. If the either the extraction or the type conversion fails,
     * the label will have a default value. The default value for a string
     * label is an empty string, for an integer label its 0, and for a boolean
     * label its `false`.
     * Note that there are upper bounds on the maximum number of labels and the
     * number of active time series that are allowed in a project.
     * </pre>
     *
     * <code>map&lt;string, string&gt; label_extractors = 7;</code>
     */

    public java.util.Map<java.lang.String, java.lang.String> getLabelExtractorsMap() {
      return internalGetLabelExtractors().getMap();
    }
    /**
     * <pre>
     * Optional. A map from a label key string to an extractor expression which is
     * used to extract data from a log entry field and assign as the label value.
     * Each label key specified in the LabelDescriptor must have an associated
     * extractor expression in this map. The syntax of the extractor expression
     * is the same as for the `value_extractor` field.
     * The extracted value is converted to the type defined in the label
     * descriptor. If the either the extraction or the type conversion fails,
     * the label will have a default value. The default value for a string
     * label is an empty string, for an integer label its 0, and for a boolean
     * label its `false`.
     * Note that there are upper bounds on the maximum number of labels and the
     * number of active time series that are allowed in a project.
     * </pre>
     *
     * <code>map&lt;string, string&gt; label_extractors = 7;</code>
     */

    public java.lang.String getLabelExtractorsOrDefault(
        java.lang.String key,
        java.lang.String defaultValue) {
      if (key == null) { throw new java.lang.NullPointerException(); }
      java.util.Map<java.lang.String, java.lang.String> map =
          internalGetLabelExtractors().getMap();
      return map.containsKey(key) ? map.get(key) : defaultValue;
    }
    /**
     * <pre>
     * Optional. A map from a label key string to an extractor expression which is
     * used to extract data from a log entry field and assign as the label value.
     * Each label key specified in the LabelDescriptor must have an associated
     * extractor expression in this map. The syntax of the extractor expression
     * is the same as for the `value_extractor` field.
     * The extracted value is converted to the type defined in the label
     * descriptor. If the either the extraction or the type conversion fails,
     * the label will have a default value. The default value for a string
     * label is an empty string, for an integer label its 0, and for a boolean
     * label its `false`.
     * Note that there are upper bounds on the maximum number of labels and the
     * number of active time series that are allowed in a project.
     * </pre>
     *
     * <code>map&lt;string, string&gt; label_extractors = 7;</code>
     */

    public java.lang.String getLabelExtractorsOrThrow(
        java.lang.String key) {
      if (key == null) { throw new java.lang.NullPointerException(); }
      java.util.Map<java.lang.String, java.lang.String> map =
          internalGetLabelExtractors().getMap();
      if (!map.containsKey(key)) {
        throw new java.lang.IllegalArgumentException();
      }
      return map.get(key);
    }

    public Builder clearLabelExtractors() {
      internalGetMutableLabelExtractors().getMutableMap()
          .clear();
      return this;
    }
    /**
     * <pre>
     * Optional. A map from a label key string to an extractor expression which is
     * used to extract data from a log entry field and assign as the label value.
     * Each label key specified in the LabelDescriptor must have an associated
     * extractor expression in this map. The syntax of the extractor expression
     * is the same as for the `value_extractor` field.
     * The extracted value is converted to the type defined in the label
     * descriptor. If the either the extraction or the type conversion fails,
     * the label will have a default value. The default value for a string
     * label is an empty string, for an integer label its 0, and for a boolean
     * label its `false`.
     * Note that there are upper bounds on the maximum number of labels and the
     * number of active time series that are allowed in a project.
     * </pre>
     *
     * <code>map&lt;string, string&gt; label_extractors = 7;</code>
     */

    public Builder removeLabelExtractors(
        java.lang.String key) {
      if (key == null) { throw new java.lang.NullPointerException(); }
      internalGetMutableLabelExtractors().getMutableMap()
          .remove(key);
      return this;
    }
    /**
     * Use alternate mutation accessors instead.
     */
    @java.lang.Deprecated
    public java.util.Map<java.lang.String, java.lang.String>
    getMutableLabelExtractors() {
      return internalGetMutableLabelExtractors().getMutableMap();
    }
    /**
     * <pre>
     * Optional. A map from a label key string to an extractor expression which is
     * used to extract data from a log entry field and assign as the label value.
     * Each label key specified in the LabelDescriptor must have an associated
     * extractor expression in this map. The syntax of the extractor expression
     * is the same as for the `value_extractor` field.
     * The extracted value is converted to the type defined in the label
     * descriptor. If the either the extraction or the type conversion fails,
     * the label will have a default value. The default value for a string
     * label is an empty string, for an integer label its 0, and for a boolean
     * label its `false`.
     * Note that there are upper bounds on the maximum number of labels and the
     * number of active time series that are allowed in a project.
     * </pre>
     *
     * <code>map&lt;string, string&gt; label_extractors = 7;</code>
     */
    public Builder putLabelExtractors(
        java.lang.String key,
        java.lang.String value) {
      if (key == null) { throw new java.lang.NullPointerException(); }
      if (value == null) { throw new java.lang.NullPointerException(); }
      internalGetMutableLabelExtractors().getMutableMap()
          .put(key, value);
      return this;
    }
    /**
     * <pre>
     * Optional. A map from a label key string to an extractor expression which is
     * used to extract data from a log entry field and assign as the label value.
     * Each label key specified in the LabelDescriptor must have an associated
     * extractor expression in this map. The syntax of the extractor expression
     * is the same as for the `value_extractor` field.
     * The extracted value is converted to the type defined in the label
     * descriptor. If the either the extraction or the type conversion fails,
     * the label will have a default value. The default value for a string
     * label is an empty string, for an integer label its 0, and for a boolean
     * label its `false`.
     * Note that there are upper bounds on the maximum number of labels and the
     * number of active time series that are allowed in a project.
     * </pre>
     *
     * <code>map&lt;string, string&gt; label_extractors = 7;</code>
     */

    public Builder putAllLabelExtractors(
        java.util.Map<java.lang.String, java.lang.String> values) {
      internalGetMutableLabelExtractors().getMutableMap()
          .putAll(values);
      return this;
    }

    private com.google.api.Distribution.BucketOptions bucketOptions_ = null;
    private com.google.protobuf.SingleFieldBuilderV3<
        com.google.api.Distribution.BucketOptions, com.google.api.Distribution.BucketOptions.Builder, com.google.api.Distribution.BucketOptionsOrBuilder> bucketOptionsBuilder_;
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public boolean hasBucketOptions() {
      return bucketOptionsBuilder_ != null || bucketOptions_ != null;
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public com.google.api.Distribution.BucketOptions getBucketOptions() {
      if (bucketOptionsBuilder_ == null) {
        return bucketOptions_ == null ? com.google.api.Distribution.BucketOptions.getDefaultInstance() : bucketOptions_;
      } else {
        return bucketOptionsBuilder_.getMessage();
      }
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public Builder setBucketOptions(com.google.api.Distribution.BucketOptions value) {
      if (bucketOptionsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        bucketOptions_ = value;
        onChanged();
      } else {
        bucketOptionsBuilder_.setMessage(value);
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public Builder setBucketOptions(
        com.google.api.Distribution.BucketOptions.Builder builderForValue) {
      if (bucketOptionsBuilder_ == null) {
        bucketOptions_ = builderForValue.build();
        onChanged();
      } else {
        bucketOptionsBuilder_.setMessage(builderForValue.build());
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public Builder mergeBucketOptions(com.google.api.Distribution.BucketOptions value) {
      if (bucketOptionsBuilder_ == null) {
        if (bucketOptions_ != null) {
          bucketOptions_ =
            com.google.api.Distribution.BucketOptions.newBuilder(bucketOptions_).mergeFrom(value).buildPartial();
        } else {
          bucketOptions_ = value;
        }
        onChanged();
      } else {
        bucketOptionsBuilder_.mergeFrom(value);
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public Builder clearBucketOptions() {
      if (bucketOptionsBuilder_ == null) {
        bucketOptions_ = null;
        onChanged();
      } else {
        bucketOptions_ = null;
        bucketOptionsBuilder_ = null;
      }

      return this;
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public com.google.api.Distribution.BucketOptions.Builder getBucketOptionsBuilder() {
      
      onChanged();
      return getBucketOptionsFieldBuilder().getBuilder();
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    public com.google.api.Distribution.BucketOptionsOrBuilder getBucketOptionsOrBuilder() {
      if (bucketOptionsBuilder_ != null) {
        return bucketOptionsBuilder_.getMessageOrBuilder();
      } else {
        return bucketOptions_ == null ?
            com.google.api.Distribution.BucketOptions.getDefaultInstance() : bucketOptions_;
      }
    }
    /**
     * <pre>
     * Optional. The `bucket_options` are required when the logs-based metric is
     * using a DISTRIBUTION value type and it describes the bucket boundaries
     * used to create a histogram of the extracted values.
     * </pre>
     *
     * <code>.google.api.Distribution.BucketOptions bucket_options = 8;</code>
     */
    private com.google.protobuf.SingleFieldBuilderV3<
        com.google.api.Distribution.BucketOptions, com.google.api.Distribution.BucketOptions.Builder, com.google.api.Distribution.BucketOptionsOrBuilder> 
        getBucketOptionsFieldBuilder() {
      if (bucketOptionsBuilder_ == null) {
        bucketOptionsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
            com.google.api.Distribution.BucketOptions, com.google.api.Distribution.BucketOptions.Builder, com.google.api.Distribution.BucketOptionsOrBuilder>(
                getBucketOptions(),
                getParentForChildren(),
                isClean());
        bucketOptions_ = null;
      }
      return bucketOptionsBuilder_;
    }

    private int version_ = 0;
    /**
     * <pre>
     * Deprecated. The API version that created or updated this metric.
     * The v2 format is used by default and cannot be changed.
     * </pre>
     *
     * <code>.google.logging.v2.LogMetric.ApiVersion version = 4 [deprecated = true];</code>
     */
    @java.lang.Deprecated public int getVersionValue() {
      return version_;
    }
    /**
     * <pre>
     * Deprecated. The API version that created or updated this metric.
     * The v2 format is used by default and cannot be changed.
     * </pre>
     *
     * <code>.google.logging.v2.LogMetric.ApiVersion version = 4 [deprecated = true];</code>
     */
    @java.lang.Deprecated public Builder setVersionValue(int value) {
      version_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Deprecated. The API version that created or updated this metric.
     * The v2 format is used by default and cannot be changed.
     * </pre>
     *
     * <code>.google.logging.v2.LogMetric.ApiVersion version = 4 [deprecated = true];</code>
     */
    @java.lang.Deprecated public com.google.logging.v2.LogMetric.ApiVersion getVersion() {
      @SuppressWarnings("deprecation")
      com.google.logging.v2.LogMetric.ApiVersion result = com.google.logging.v2.LogMetric.ApiVersion.valueOf(version_);
      return result == null ? com.google.logging.v2.LogMetric.ApiVersion.UNRECOGNIZED : result;
    }
    /**
     * <pre>
     * Deprecated. The API version that created or updated this metric.
     * The v2 format is used by default and cannot be changed.
     * </pre>
     *
     * <code>.google.logging.v2.LogMetric.ApiVersion version = 4 [deprecated = true];</code>
     */
    @java.lang.Deprecated public Builder setVersion(com.google.logging.v2.LogMetric.ApiVersion value) {
      if (value == null) {
        throw new NullPointerException();
      }
      
      version_ = value.getNumber();
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Deprecated. The API version that created or updated this metric.
     * The v2 format is used by default and cannot be changed.
     * </pre>
     *
     * <code>.google.logging.v2.LogMetric.ApiVersion version = 4 [deprecated = true];</code>
     */
    @java.lang.Deprecated public Builder clearVersion() {
      
      version_ = 0;
      onChanged();
      return this;
    }
    @java.lang.Override
    public final Builder setUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFieldsProto3(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }


    // @@protoc_insertion_point(builder_scope:google.logging.v2.LogMetric)
  }

  // @@protoc_insertion_point(class_scope:google.logging.v2.LogMetric)
  private static final com.google.logging.v2.LogMetric DEFAULT_INSTANCE;
  static {
    DEFAULT_INSTANCE = new com.google.logging.v2.LogMetric();
  }

  public static com.google.logging.v2.LogMetric getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<LogMetric>
      PARSER = new com.google.protobuf.AbstractParser<LogMetric>() {
    @java.lang.Override
    public LogMetric parsePartialFrom(
        com.google.protobuf.CodedInputStream input,
        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
        throws com.google.protobuf.InvalidProtocolBufferException {
      return new LogMetric(input, extensionRegistry);
    }
  };

  public static com.google.protobuf.Parser<LogMetric> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<LogMetric> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.logging.v2.LogMetric getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }

}

