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Results 6171 - 6180 of 7,717 for content_length:[0 TO 9999] (1.43 seconds)
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Max
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/transforms/java/aggregation/max/Thu Feb 26 18:01:32 GMT 2026 9.2K bytes -
k8s_event
*k8s_event* - reports CoreDNS status to Kubernetes events.coredns.io/explugins/k8s_event/Fri Feb 27 00:22:20 GMT 2026 9.6K bytes -
Direct Runner
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/runners/direct/Thu Feb 26 18:01:32 GMT 2026 7.9K bytes -
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 -
Add External Plugins
How to add a link to external plugin?coredns.io/2017/07/23/add-external-plugins/Fri Feb 27 00:22:44 GMT 2026 9.1K bytes -
k8s_cache
*k8s_cache* is a caching plugin with early refreshes for specified podscoredns.io/explugins/k8s_cache/Fri Feb 27 00:24:25 GMT 2026 9.5K bytes -
pdsql
*pdsql* - uses powerdns generic sql as backend.coredns.io/explugins/pdsql/Fri Feb 27 00:24:53 GMT 2026 9.7K bytes -
rrl
*rrl* - mitigate amplification attacks with response rate limitingcoredns.io/explugins/rrl/Fri Feb 27 00:25:18 GMT 2026 3.2K bytes -
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 -
meshname
*meshname* allows to resolve decentralized .meshname domainscoredns.io/explugins/meshname/Fri Feb 27 00:25:31 GMT 2026 7.9K bytes