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Results 5601 - 5610 of 7,713 for content_length:[0 TO 9999] (0.08 seconds)

  1. demo

    *demo* - returns `1.1.1.1` for `172.0.0.0/8` or `127.0.0.0/8` and `8.8.8.8` otherwise
    coredns.io/explugins/demo/
    Mon Feb 23 00:16:44 GMT 2026
      7.1K bytes
  2. lighthouse

    *lighthouse* - facilitate DNS discovery in multi-cluster connected environments.
    coredns.io/explugins/lighthouse/
    Mon Feb 23 00:17:19 GMT 2026
      7.3K bytes
  3. Apache Beam YAML Testing

    Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.
    beam.apache.org/documentation/sdks/yaml-testing/
    Thu Jan 22 15:52:49 GMT 2026
      8.5K bytes
  4. Beam ZetaSQL string functions

    Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.
    beam.apache.org/documentation/dsls/sql/zetasql/string-functions/
    Thu Jan 22 15:52:49 GMT 2026
      8.5K bytes
  5. Apache Beam YAML Inline Python

    Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.
    beam.apache.org/documentation/sdks/yaml-inline-python/
    Thu Jan 22 15:52:49 GMT 2026
      7.6K bytes
  6. k8s_cache

    *k8s_cache* is a caching plugin with early refreshes for specified pods
    coredns.io/explugins/k8s_cache/
    Mon Feb 23 00:17:00 GMT 2026
      9.5K bytes
  7. k8s_event

    *k8s_event* - reports CoreDNS status to Kubernetes events.
    coredns.io/explugins/k8s_event/
    Mon Feb 23 00:16:53 GMT 2026
      9.6K bytes
  8. multicluster

    *multicluster* plugin is an implementation of Multicluster DNS specification.
    coredns.io/explugins/multicluster/
    Mon Feb 23 00:16:25 GMT 2026
      8K bytes
  9. Add External Plugins

    How to add a link to external plugin?
    coredns.io/2017/07/23/add-external-plugins/
    Mon Feb 23 00:18:43 GMT 2026
      9.1K bytes
  10. Beam SQL extensions: SET and RESET Statement

    Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.
    beam.apache.org/documentation/dsls/sql/extensions/set/
    Thu Jan 22 15:52:49 GMT 2026
      6.5K bytes
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