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MySQL information_schema详解 PARTITIONS

PARTITIONS该表提供分区表相关的信息,每一行都关联一个独立的分区或者子分区他主要有如下栏位TABLE_SCHEMA 分区表所在的数据库名称TABLE_NAME 分区表的名称PARTITION_NAME 实际截图该表没有对应的show命令首先新建一个分区表CREATE TABLE tp ( c1 INT, c2 INT, c3 VARCHAR(25) ) PARTITION BY HASH(c1 + c2) PARTITIONS 4; select * from PARTITIONS where TABLE_NAME=tp and table_schema=test G 共四行?

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RabbitMQ源码解析前奏--partitions

,{running_nodes, },{partitions, ... done.然而,如果一个网络分区已经发生了,则分区节点信息会显示在列表中:#rabbitmqctl cluster_statusCluster ,{running_nodes, },{partitions, },{hare@smacmullen, }]}]... done.管理插件API将会通过apinodes为每个分区节点返回分区信息,管理插件

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    写clickhouse报错:Too many partitions for single INSERT block

    在写入Clickhouse时, clickhouse报错如下: message: Too many partitions for single INSERT block (more than xxx). Large number of partitions is a common misconception. Recommended total number of partitions for a table is under xxx..xxx. Partitions are intended for data manipulation (DROP PARTITION, etc) 原因clickhouse要求每次写入的数据不能跨越特别多的partitions

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    Oracle 12c系列(十) | 12c中的Recovering Tables and Table Partitions

    在Oracle12c之前的版本中,rman进行数据恢复时只能进行database/tablespace/datafile/block四种级别的恢复,如果误操作删...

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    Module partitions和符号交叉引用(声明和实现分离)

    C++20 开始支持 Module 了。在以前C++为了解决循环依赖问题,经常会把类或者函数声明写前面,实现写后面。然后中间的代码就可以实现内部模块的内聚而互相...

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    启动kafka消费报错:WARN 1 partitions have leader brokers without a matching listener,…

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    Spark2.4.0源码分析之WorldCount 触发作业提交(二)

    set of partitions to run on; some jobs may not want to compute on all * partitions of the target RDD set of partitions to run on; some jobs may not want to compute on all * partitions of the target RDD set of partitions to run on; some jobs may not want to compute on all * partitions of the target RDD set of partitions to run on; some jobs may not want to compute on all * partitions of the target RDD set of partitions to run on; some jobs may not want to compute on all * partitions of the target RDD

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    tf.dynamic_partition()

    The slices with partitions = i are placed in outputs in lexicographic order of js, and the first dimension of outputs is the number of entries in partitions equal to i. with partitions.shape.For example: # Scalar partitions. partitions = 1 num_partitions = 2 data = outputs = outputs = ] # Vector partitions. partitions = num_partitions = 2 data = outputs = outputs = See dynamic_stitch for an example on how to merge partitions back.?

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    spark1.4加载mysql数据 创建Dataframe及join操作连接方法问题

    org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:203) at org.apache.spark.rdd.RDD$$anonfun$partitions $2.apply(RDD.scala:219) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) at scala.Option.getOrElse $2.apply(RDD.scala:219) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) at scala.Option.getOrElse $2.apply(RDD.scala:219) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) at scala.Option.getOrElse $2.apply(RDD.scala:219) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) at scala.Option.getOrElse

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    kafka自学之路--zookeeper中存储结构

    1.topic注册信息 brokerstopics : 存储某个topic的partitions所有分配信息 Schema: {     version: 版本编号目前固定为数字1,     partitions topic的所有partitions,如果Consumer group中所有consumer总线程大于partitions数量,则会出现空闲情况; 举例说明: kafka集群中创建一个topic为report-log 如果Consumer Group中所有consumer的总线程数大于partitions数量,则可能consumer thread或consumer会出现空闲状态。 Consumer均衡算法 当一个group中,有consumer加入或者离开时,会触发partitions均衡.均衡的最终目的,是提升topic的并发消费能力. 1) 假如topic1,具有如下partitions Re-assign partitions adminreassign_partitions { fields:, } doc:an array of partitions to be reassigned

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    举例说明Spark RDD的分区、依赖

    println(dependency type: + dep.getClass) | println(dependency RDD: + dep.rdd) | println(dependency partitions : + dep.rdd.partitions) | println(dependency partitions size: + dep.rdd.partitions.length) | }dependency : + dep.rdd.partitions) | println(dependency partitions size: + dep.rdd.partitions.length) | }dependency : + dep.rdd.partitions) | println(dependency partitions size: + dep.rdd.partitions.length) | }dependency : + dep.rdd.partitions) | println(dependency partitions size: + dep.rdd.partitions.length) | }dependency

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    Flink startupMode是如何起作用的

    ; once this subtask discovers some partitions and starts collecting records, the subtasks status will with undefined initial offsets.); } } all seed partitions are not assigned yet, so should be added to the unassigned partitions queue 到目前为止consumer并未指定partition for (KafkaTopicPartitionState partition consumerTmp.assign(newPartitionAssignments); reassignmentStarted = true; old partitions should be seeked back to the unassigned partitions queue to be picked up again for (KafkaTopicPartitionState newPartition

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    MySQL中怎样快速找出超长索引

    执行计划 *************************** 1. row *************************** id: 1 select_type: SIMPLE table: c partitions filesort*************************** 2. row *************************** id: 1 select_type: SIMPLE table: s partitions Loop)*************************** 3. row *************************** id: 1 select_type: SIMPLE table: t partitions *************************** 1. row *************************** id: 1 select_type: PRIMARY table: t partitions *************************** 1. row *************************** id: 1 select_type: PRIMARY table: s partitions

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    浪尖说spark的coalesce的利弊及原理

    . * * This results in a narrow dependency, e.g. if you go from 1000 partitions * to 100 partitions, there will not be a shuffle, instead each of the 100 * new partitions will claim 10 of the current partitions If a larger number * of partitions is requested, it will stay at the current number of partitions. * This is useful if you have a small number of partitions, * say 100, potentially with a few partitions not. * final def partitions: Array = { checkpointRDD.map(_.partitions).getOrElse { if (partitions_ =

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    Spark2.4.0源码分析之WorldCount Stage提交(DAGScheduler)(六)

    提交 DAGScheduler.submitMissingTasks 第一次提交的是ShuffleMapStage stage.findMissingPartitions()得到当前Stage有多少个partitions Some(e)) runningStages -= stage return } 把ShuffleMapStage加到runningStages中,表示此Stage已开始处理,在提交Stage时验证使用 对partitions stage: ResultStage => partitionsToCompute.map { id => val p: Int = stage.partitions(id) val part = partitions stage: ResultStage => partitionsToCompute.map { id => val p: Int = stage.partitions(id) val part = partitions Some(e)) runningStages -= stage return } 把ResultStage加到runningStages中,表示此Stage已开始处理,在提交Stage时验证使用 对partitions

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    KafkaConsumer分析 转

    ) {    acquire();    try {        if (partitions == null) {            throw new IllegalArgumentException , , ));             根据用户提供的指定的partitions 改变assignment            this.subscriptions.assignFromUser(new HashSet(partitions));            metadata.setTopics(topics); 更新metatdata topic        }    } finally this.subscriptions.assignedPartitions() : partitions;        for (TopicPartition tp : parts) {             this.subscriptions.assignedPartitions() : partitions;        for (TopicPartition tp : parts) {

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    kafka_2.11-2.0.0_常用操作

    创建topic1 # 参数说明 --replication-factor 2 表示有2个副本2 # --partitions 4 表示有4个分区3 $ kafka-topics.sh --create --create --zookeeper mini01:2181 --replication-factor 3 --partitions 4 --topic zhang6 Created topic : The number of partitions for a topic can only be increased. will be affected23 Adding partitions succeeded! --partitions 11 --topic test02注意在各机器上partitions的分布 1 mini01 2 test01-0 3 test01-3 4 test02-2 5 test02

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    CentOS7 RabbitMQ 3.7.4 集群安装使用

    .}]}, {running_nodes,}, {cluster_name,}, {partitions,},{rabbit@rabbitmq1,}] # rabbitmq2先加到集群中来# rabbitmqctl cluster_statusCluster status of node rabbit@rabbitmq1 ...}]}, {running_nodes,}, {cluster_name,}, {partitions rabbitmqctl cluster_statusCluster status of node rabbit@rabbitmq1 ...}]}, {running_nodes,}, {cluster_name,}, {partitions rabbitmqctl cluster_statusCluster status of node rabbit@rabbitmq2 ...}]}, {running_nodes,}, {cluster_name,}, {partitions rabbitmqctl cluster_statusCluster status of node rabbit@rabbitmq3 ...}]}, {running_nodes,}, {cluster_name,}, {partitions

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    MySQL 5.7查询sys.schema_redundant_indexes居然慢如蜗牛...

    filesort*************************** 2. row *************************** id: 2 select_type: DERIVED table: partitions NULL*************************** 3. row *************************** id: 2 select_type: DERIVED table: partitions ******************* 4. row *************************** id: 4 select_type: DERIVED table: statistics partitions ******************* 5. row *************************** id: 3 select_type: DERIVED table: statistics partitions ; *************************** 1. row *************************** id: 1 select_type: PRIMARY table: partitions

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    zabbix表分区(适用于zabbix2.0.x,zabbix2.2.x和zabbix2.4.x)

    to potentially delete DELETE_BELOW_PARTITION_DATE = Delete any partitions with names that are dates All partitions are prefixed with a p, so use SUBSTRING TO get rid of that character. Also, create @drop_partitions to hold a comma-delimited list of all partitions that should be deleted Build the SQL to drop all the necessary partitions. 2. Run the SQL to drop the partitions. 3. Print out the table partitions that were deleted.

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