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  • 来自专栏日常杂记

    prometheus+telegraf+grafana监控学习(二)

    #日志目录 hostname = "" omit_hostname = false [[outputs.prometheus_client]] listen = ":9275" [[aggregators.histogram ]] period = "60s" drop_original = false [[aggregators.histogram.config]] buckets = [0.0, 10.0 60.0, 70.0, 80.0, 90.0, 100.0] measurement_name = "cpu" fields = ["usage_user","usage_idle"] [[aggregators.histogram.config 70.0, 80.0, 90.0, 100.0] measurement_name = "mem" fields = ["used_percent","available_percent"] [[aggregators.histogram.config 80.0, 90.0, 100.0, 120.0, 150.0, 200.0, 300.0] measurement_name = "system" fields = ["load5"] [[aggregators.histogram.config

    5.3K30发布于 2020-12-10
  • 来自专栏dataease

    SqlTemplate类

    Junjun */public class SqlTemplate { public static String QUERY_SQL = "querySql(limitFiled, groups, aggregators aggregators)>\n" + " *\n" + "<endif>\n" + "<if(groups && notUseAs )>,<endif>\n" + "<if(aggregators)>\n" + " <aggregators:{agg|<if(agg)><agg.fieldName aggregators)>\n" + " *\n" + "<endif>\n" + "<if(groups && notUseAs )>,<endif>\n" + "<if(aggregators)>\n" + " <aggregators:{agg|<if(agg)><agg.fieldName

    23510编辑于 2024-09-24
  • 来自专栏张善友的专栏

    .NET 5.0 Docker 镜像 错误修复方法

    /Create-DockerfileSolutionRestore.ps1, to optimize build cache reuse COPY ["src/ApiGateways/Aggregators /Web.Shopping.HttpAggregator/Web.Shopping.HttpAggregator.csproj", "src/ApiGateways/Aggregators/Web.Shopping.HttpAggregator

    1.5K20发布于 2021-07-14
  • 来自专栏cwl_Java

    快速学习-Druid数据摄入之Tranquility

    druid.discovery.curator.path val dataSource = "foo" val dimensions = IndexedSeq("bar") val aggregators DruidLocation(indexService, dataSource)) .rollup(DruidRollup(SpecificDruidDimensions(dimensions), aggregators

    41520编辑于 2022-11-30
  • 来自专栏个人教程

    如何查找一个域名的子域名记录

    其他方法上面只列举了两个最方便使用的方法,除此之外还有很多别的方法,例如DNS区域传送、DNS缓存探测(DNS Cache Snooping)、DNS聚合器(DNS aggregators),但比较麻烦不方便使用就不列出了

    11.5K10编辑于 2022-07-23
  • 来自专栏charlieroro

    解析Prometheus PromQL

    源码定义在prometheus/promql/parser/lex.go // Aggregators. Param Expr // Parameter used by some aggregators.

    1.8K10发布于 2021-09-23
  • 来自专栏dataease

    SQLProvider类

    List<SQLObj> yOrders = sqlMeta.getYOrders(); if (ObjectUtils.isNotEmpty(yFields)) st_sql.add("aggregators List<String> yWheres = sqlMeta.getYWheres(); if (ObjectUtils.isNotEmpty(yFields)) st_sql.add("aggregators

    20510编辑于 2024-09-24
  • 来自专栏大数据学习笔记

    ElasticSearch 6.x 学习笔记:22.桶聚合

    This aggregator will often be used in conjunction with other field data bucket aggregators (such as ranges NOTE:Global aggregators can only be placed as top level aggregators because it doesn’t make sense to

    1.1K20编辑于 2022-05-06
  • 来自专栏数据科学与人工智能

    【陆勤践行】DataSchool 推荐的数据科学资源

    aspects of data science ML in the Valley: Thoughtful pieces by the Director of Analytics at Codecademy Aggregators

    90190发布于 2018-02-26
  • 来自专栏数据派THU

    Pandas的apply, map, transform介绍和性能测试

    """ Multiple Aggregators Performance Test with agg """ %%timeit random_score_df.groupby("subject")["score "max"] ) """ 90.5 ms ± 16.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) """ """ Multiple Aggregators

    3.1K30编辑于 2023-03-29
  • 来自专栏大数据引擎源码阅读

    Druid源码阅读(一):Druid Hadoop-based ingestion实现

    inputRow, aggregators combiningAggs, config, null, null); index.add(InputRowSerde.fromBytes(typeHelperMap, first.getBytes(), aggregators context.progress(); InputRow value = InputRowSerde.fromBytes(typeHelperMap, iter.next().getBytes(), aggregators

    2.5K208发布于 2020-04-23
  • 来自专栏DrugOne

    PNA | 使用多聚合器聚合图信息结构

    2 模型和方法 (1)多种聚合器(Aggregators) 聚合器(Aggregators)是可计算相邻节点信息的多重集的连续函数。

    1.6K40发布于 2021-02-01
  • 来自专栏码匠的流水账

    聊聊flink的Async I/O

    getIterationAggregator(String name) { throw new UnsupportedOperationException("Iteration aggregators getPreviousIterationAggregate(String name) { throw new UnsupportedOperationException("Iteration aggregators

    1K20发布于 2019-01-28
  • 来自专栏码匠的流水账

    聊聊flink的Async I/O

    getIterationAggregator(String name) { throw new UnsupportedOperationException("Iteration aggregators getPreviousIterationAggregate(String name) { throw new UnsupportedOperationException("Iteration aggregators

    3.6K30发布于 2019-01-19
  • 来自专栏大数据成神之路

    OLAP红与黑 | 也许你应该考虑一下Druid

    legendtkl" // dataSource Name val dimensions = IndexedSeq("dim1", "dim2", "metric", "dim3") val aggregators "druid:firehose:%s", dataSource)) //.rollup(DruidRollup(SpecificDruidDimensions(dimensions), aggregators QueryGranularities.MINUTE, isRollup)) .rollup(DruidRollup(SpecificDruidDimensions(dimensions), aggregators

    1.5K30发布于 2019-09-08
  • 来自专栏charlieroro

    Opentelemetry Metrics SDK

    Processor 负责通过一个独立的AggregationSelector接口为特定的Instrument选择Aggregators ,用于减少维数,以及用于在DELTA和CUMULATIVE数据表示之间进行转换 在调用Aggregator 时,Accumulator不应该持有排他锁,因为Aggregators可能具有更高的同步期望。

    2.3K40发布于 2020-10-30
  • 来自专栏PaddlePaddle

    ERNIE加持,飞桨图神经网络PGL全新升级

    ERNIESage是ERNIE与GraphSAGE碰撞的结果,是ERNIE SAmple aggreGatE的简称,它的结构如下图所示,主要思想是通过ERNIE作为聚合函数(Aggregators),建模自身节点和邻居节点的语义与结构关系

    81230发布于 2020-05-04
  • 来自专栏walterlv - 吕毅的博客

    使用并解析 OPML 格式的订阅列表来转移自己的 RSS 订阅(概念篇)

    OPML has also become popular as a format for exchanging subscription lists between feed readers and aggregators

    6K20发布于 2020-02-10
  • 来自专栏码匠的流水账

    聊聊storm trident的operations

    projectionValidation(fields); return new GroupedStream(this, fields); } 这里返回的是GroupedStream aggregators partitionPersist(spec, inputFields, new ReducerAggStateUpdater(agg), functionFields); } trident的aggregators

    53040发布于 2018-12-06
  • 来自专栏木鸟杂记

    CockroachDB 和 TiDB 中 SQL 的分布式执行

    aggregators 有些 aggregator 的输入、输出或逻辑有一些特殊之处: table reader 没有输入流,会直接从本机 KV 层拿数据。

    1K10编辑于 2022-05-17
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