HBase group by

Group by In HBase - VoidC

Create the HBase tables. You create two tables in HBase, students and clicks, that you can query with Drill. You use the CONVERT_TO and CONVERT_FROM functions to convert binary text to/from typed data. You use the CAST function to convert the binary data to an INT in step 4 of Query HBase Tables.When converting an INT or BIGINT number, having a byte count in the destination/source that does. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS 1、 group by和having关键字一起使用 数据表(student) 内容 如下: 将student表按照gender进行分组查询,查询出grade字段值之和小于300的分组 语句: select sum (grade),gender from student group by gender having sum (grade) 查询结果 2、 group by和聚合函数关. Hadoop 集群的基本 操作 (三. Hbase是不支持条件查询、聚集操作和Order by查询的! Hbase查询方式只有三种:根据主键,根据主键范围和全表。. 追问. 有没有什么简单的方法通过编程达到条件查询、聚集操作和Order by查询的目的? 追答. 没有简单的方法

HBase Data Model. HBase Data Model is a set of components that consists of Tables, Rows, Column families, Cells, Columns, and Versions. HBase tables contain column families and rows with elements defined as Primary keys. A column in HBase data model table represents attributes to the objects. HBase Data Model consists of following elements, Set. hbase-policy.xml. The default policy configuration file used by RPC servers to make authorization decisions on client requests. Only used if HBase security is enabled. hbase-site.xml. The main HBase configuration file. This file specifies configuration options which override HBase's default configuration

hbase 协处理器,实现group by,distinct函数 - 蔚藍de回憶 - 博客

What is HBase. Hbase is an open source and sorted map data built on Hadoop. It is column oriented and horizontally scalable. It is based on Google's Big Table.It has set of tables which keep data in key value format. Hbase is well suited for sparse data sets which are very common in big data use cases HBase is an open-source non-relational distributed database modeled after Google's Bigtable and written in Java.It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System) or Alluxio, providing Bigtable-like capabilities for Hadoop.That is, it provides a fault-tolerant way of storing large quantities of sparse data.

java hbase group by_HBase数据操作_刘兮mkq的博客-CSDN博

Connectors Configuration Config file. Hue connects to any database or warehouse via native Thrift or SqlAlchemy connectors that need to be added to the Hue ini file.Except [impala] and [beeswax] which have a dedicated section, all the other ones should be appended below the [[interpreters]] of [notebook] e.g. HBase Shell commands are broken down into 13 groups to interact with HBase Database via HBase shell, let's see usage, syntax, description, and examples of each in this article. From the below tables, the first table describes groups and all its commands in a cheat sheet and the remaining tables provide the detail description of each group and its commands

Locality groups. Bigtable does not allow you to specify locality groups for column families. As a result, you cannot call HBase methods that return a locality group. Namespaces. Bigtable does not use namespaces. You can use row key prefixes to simulate namespaces. The following methods are not available: createNamespace(NamespaceDescriptor. Apache HBase is a massive key value database in the Big Table family. It excels in random read/write and is distributed. The Hue Query Assistant is a versatile SQL compose Web application with a goa 1. Modify the storage time of kafka data in the subject by default of 7 days ----- [kafka/conf/server.properties] log.retention.hours=1 2. aggregate query using hive. > > 测试了下,如果where 条件是月,group by 周 查询时间是66秒, where 条件是周,group by > 日,查询时间是9秒 > > 如果where 条件是年,group by 月 ;where 条件是上半年,group by 季度或者月 > 都会内存溢出错误。 > > Hbase的heap size大小也调到了32GB

HiveQL - GROUP BY and HAVING Clause - javatpoin

HBase X exclude from comparison: Hive X exclude from comparison: Kingbase X exclude from comparison; Description: Wide-column store based on Apache Hadoop and on concepts of BigTable: data warehouse software for querying and managing large distributed datasets, built on Hadoo Group by In HBase. Ich fast nicht weiß, mit was für HBase. Sorry für grundlegende Fragen. Vorstellen, ich habe eine Tabelle von 100 Milliarden Zeilen mit 10 int, die eine datetime-und einer string-Spalte. Hat HBase erlauben das Abfragen dieser Tabelle und der Gruppe das Ergebnis basiert auf-Taste (auch ein zusammengesetzter. HBase - GROUP BY clause returns duplicates results 2016-01-26 16:19:06 UTC Description Juraj Duráni 2015-10-19 10:21:57 UTC. HBase - GROUP BY clause returns duplicates results. Log In. Export. XML Word Printable. Details. Type: Bug Status: Closed (View Workflow) Priority: Major. HBase Shell commands are broken down into 13 groups to interact with HBase Database via HBase shell, let's see usage, syntax, description, and examples of each in this article. From the below tables, the first table describes groups and all its commands in a cheat sheet and the remaining tables provide the detail description of each group and its commands

HBase Client: Group Puts by RegionServer. In addition to using the writeBuffer, grouping Puts by RegionServer can reduce the number of client RPC calls per writeBuffer flush. There is a utility HTableUtil currently on TRUNK that does this, but you can either copy that or implement your own verison for those still on 0.90.x or earlier. Reply hive distribute by 和group by 的区别:. group by是对检索结果的保留行进行单纯分组,一般总爱和聚合函数一块用例如AVG(),COUNT(),max(),main()等一块用。. group by操作表示按照某些字段的值进行分组,有相同的值放到一起,语法样例如下:. [java] view plain copy.

Hive Queries: Order By, Group By, Distribute By, Cluster By Example

select to_date(to_timestamp(cast (convert_from(esrtable.row_key, 'UTF8') as int))),count(*) from maprdb.esr52 esrtable group by to_date(to_timestamp(cast (convert_from(esrtable.row_key, 'UTF8') as int))); Error: SYSTEM ERROR: java.lang.UnsupportedOperationException: Failure finding function that runtime code generation expected.Signature: compare_to_nulls_high( VAR16CHAR:OPTIONAL, VAR16CHAR. 从HDFS读文件,进行Hash based group by,再写入Hbase 我们家没有秃头的基因 2018-05-18 13:32:31 387 收藏 2 分类专栏: 大数据hadoop 文章标签: java hdfs hbase hadoo In multi-tenant deployments of HBase, it is likely that a RegionServer will be serving out regions from a number of different tables owned by various client applications. Being able to group a subset of running RegionServers and assign specific tables to it, provides a client application a level of isolation and resource allocation PySpark DataFrame groupBy(), filter(), and sort() - In this PySpark example, let's see how to do the following operations in sequence 1) DataFrame group by using aggregate function sum(), 2) filter() the group by result, and 3) sort() or orderBy() to do descending or ascending order 안녕하세요, 클라우드기술팀 ssup이라고 합니다. 카카오에서는 DKOS라고 불리는 Kubernetes 기반 Container Platform을 개발 & 운영하고 있습니다. DKOS를 안정적으로 운영하기 위해서 Kubernetes를 분석하는 도중, Kubernetes의 Cgroup Driver 문서에서 다음과 같은 문구를 확인할 수 있었습니다. We have seen cases in the field.

HBase Coprocessor Master Classes (Master Default Group) HBase Coprocessor Region Classes (RegionServer Default Group) Enter a Reason for change, and then click Save Changes to commit the changes. Disabling Loading of Coprocessors. Minimum Required Role: Configurator (also provided by Cluster Administrator, Full Administrator What: HBase is... Open-source non-relational distributed column-oriented database modeled after Google's BigTable. Think of it as a sparse, consistent, distributed, multidimensional, sorted map: labeled tables of rows row consist of key-value cells: (row key, column family, column, timestamp) -> valueMonday, July 9, 12 Whether the manager is able to fully return group metadata. List<RSGroupInfo>: listRSGroups (). List the existing RSGroupInfos After configuring HBase authentication (as detailed in HBase Configuration), you must define rules on resources that is allowed to access.HBase rules can be defined for individual tables, columns, and cells within a table. Cell-level authorization is fully supported since CDH 5.2. Important: In a cluster managed by Cloudera Manager, HBase authorization is disabled by default

Data Aggregation in HBase - Panasee

GroupBasedLoadBalancer, used when Region Server Grouping is configured (HBase-6721) It does region balance based on a table's group membership. Most assignment methods contain two exclusive code paths: Online - when the group table is online and Offline - when it is unavailable Project Mailing Lists. These are the mailing lists that have been established for this project. For each list, there is a subscribe, unsubscribe, and an archive link. Name. Subscribe. Unsubscribe. Post. Archive. Other Archives For example, say you just want to count rows, currently you scan, server returns all data to client and count is done by client counting up row keys. A bunch of time and resources have been wasted returning data that we're not interested in. With this new filter type, the counting would be done server-side and then it would make up a new result. Gotchas. It is advised that the upsert operation be idempotent. That is, trying to re-upsert data should not cause any inconsistencies. This is important in the case when a Pig job fails in process of writing to a Phoenix table. There is no notion of rollback (due to lack of transactions in HBase), and re-trying the upsert with PhoenixHBaseStorage must result in the same data in HBase table When grouping on a multi-value dimension, all values from matching rows will be used to generate one group per value. It's possible for a query to return more groups than there are rows. For example, a groupBy on the dimension tags with filter t1 AND t3 would match only row1, and generate a result with three groups: t1, t2, and t3

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hbase(main):023:0> count 'emp' 2 row(s) in 0.090 seconds ⇒ 2 truncate. This command disables drops and recreates a table. The syntax of truncate is as follows: hbase> truncate 'table name' Example. Given below is the example of truncate command. Here we have truncated the emp table hbase如何实现group by和order by等的功能?. 可选中1个或多个下面的关键词,搜索相关资料。. 也可直接点搜索资料搜索整个问题。. #热议# 你见过哪些90后家长教育孩子的神操作?. Hbase是不支持条件查询、聚集操作和Order by查询的!. Hbase查询方式只有三种. A row in HBase is a grouping of key/value mappings identified by the row-key. HBase enjoys Hadoop's infrastructure and scales horizontally. In a nutshell, HBase can store or process Hadoop data with near real-time read/write needs. This includes both structured and unstructured data, though HBase shines at the latter GROUP BY groups the the result by the given expression(s). HAVING filter rows after grouping. ORDER BY sorts the result by the given column(s) or expression(s) and is only allowed for aggregate queries or queries with a LIMIT clause. LIMIT limits the number of rows returned by the query with no limit applied if specified as null or less than zero from pyspark.sql.functions import sum df.groupBy(state) \ .agg(sum(salary).alias(sum_salary)) Use withColumnRenamed() to Rename groupBy() Another best approach would be to use PySpark DataFrame withColumnRenamed() operation to alias/rename a column of groupBy() result. Use the existing column name as the first argument to this operation and the second argument with the column name you want

Execute the following command from a command terminal. ./psql.py <your_zookeeper_quorum> us_population.sql us_population.csv us_population_queries.sql. Congratulations! You've just created your first Phoenix table, inserted data into it, and executed an aggregate query with just a few lines of code in 15 minutes or less! Big deal - 10 rows How'is'HBase'Differentfrom'aRDBMS?' RDBMS HBase Data layout Row oriented Column oriented Transactions Multi-row ACID Single row or adjacent row groups only Query language SQL None (API access) Joins Yes No Indexes On arbitrary columns Single row index only Max data size Terabytes Petabytes* R/W throughput limits 1000s of operations per secon

Next meetup http://www.meetup.com/hbaseusergroup/calendar/12689351/ and jgray just added a FB HBase group,.. Apache log analysis with Hadoop, Hive and HBase. Raw. apache-logs-hive.sql. -- This is a Hive program. Hive is an SQL-like language that compiles. -- into Hadoop Map/Reduce jobs. It's very popular among analysts at. -- Facebook, because it allows them to query enormous Hadoop data. -- stores using a language much like SQL

HBase란 - HBase의 특징과 장단

  1. 1.hbase is a distributed system, which needs to rely on HDFS as the storage medium and zookeeper to complete the monitoring of the master-slave nodes. 2. Installation preparation is as follows: 1.HBase role HMaster (master node, one Active, one StandBy) Hreginserver (data node, multiple) 2. depUTF-8..
  2. HBase has the concept of a column family. A column family is a way to group column data. Only a single column family is supported. Every HBase column must belong to a single column family. The HBase Handler provides a single column family per table that defaults to cf.You can configure the column family name
  3. org.apache.hbase » hbase Apache. Apache HBase is the Hadoop database. Use it when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Last Release on Jul 20, 2021
  4. al
  5. All groups and messages.
  6. Secondary Indexing in Phoenix LA HBase User Group - September 4, 2013 Jesse Yate

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data [jira] [Updated] (HBASE-5719) Enhance hbck to sideline overlapped mega regions. Jimmy Xiang (Updated) we can sideline some regions in the group and break the > overlapping to fix the inconsistency. Later on, sidelined regions can be > bulk loaded manually. -- This message is automatically generated by JIRA I am trying to optimize performance in the use of Apache Phoenix and HBase in our platform. One critical query, call it Q, requires a join between 2 tables, let's call them X and Y. X contains 150,000,000 rows, and Y contains 20,000 rows. The explain plan for Q is the following: CLIENT 22-CHUNK

Chemistry: 5

Querying HBase - Apache Dril

Apache HBase - Apache HBase™ Hom

hbase-issues mailing list archives Site index · List index. Message view Hadoop QA (JIRA) <j...@apache.org> Subject [jira] [Commented] (HBASE-15631) Backport Regionserver Groups (HBASE-6721) to branch-1: Date: Fri, 29 Sep 2017 12:38:01 GMT. HI, We are working with kerberos CDH 5.7.3 & CM 5.8. I create a Hive Table on HBase with the below command: create external table arch_mr_job Apache HBase RSGroup. Regionserver Groups for HBase. License. Apache 2.0. Tags. database hadoop apache hbase. Used By. 3 artifacts. Central (63

The GROUP BY clause operates on both the category id and year released to identify unique rows in our above example.. If the category id is the same but the year released is different, then a row is treated as a unique one .If the category id and the year released is the same for more than one row, then it's considered a duplicate and only one row is shown HBaseWD - Distribute Sequential HBase Writes. Discover smart ways of handling databases by mastering NoSQL-Cassandra, HBase, MongoDB and CouchDB. Discover smart ways of handling databases by mastering NoSQL-Cassandra, HBase, MongoDB and CouchDB. The preeminent online training platform for IT students & Professionals

hadoop读写hdfs和操作hbase,把hbase内容按group by排序_a7980718的专栏

  1. 前言访问hbase table中的行,只有三种方式: 1 通过单个row key访问 2 通过row key的range 3 全表扫描 可以看出rowkey设计的好与坏直接决定了查询速度,在hbase中快速定位也是依靠布隆过滤器,然而布隆过滤器依
  2. g.. In this blog post, you will learn all the TCP ports used by the different HBase processes and how and why they are used (all in one place) — to help ad
  3. API, performance tuning, general commands, creating, listing and enabling of tables

to HBaseWD - Distribute Sequential HBase Writes. I suggest you in the next version of HBaseWD, the. DistributedScanner.create () should work with HTableInterface instead. of HTable. It's strongly recommended to program against interface. rather than against classes. Much more, using a HBase table pool you. have to handle HTableInterface bzplug의 BI 제품들은 HTML5와 Javascript 기반의 강력한 Solution입니다 최고의 호환성을 가진 멀티 플랫폼 지원, Enterprise급 분석 프로그램 R 탑재, Hbase 지원을 통한 빅 데이터 분석 등의 강력한 기능을 제공하여 귀사의 데이터 분석 능력을 한 단계 높여줍니 It delivers a software framework for distributed storage and processing of big data using MapReduce. The entire Hadoop Ecosystem is made of a layer of components that operate swiftly with each other. These are AVRO, Ambari, Flume, HBase, HCatalog, HDFS, Hadoop, Hive, Impala, MapReduce, Pig, Sqoop, YARN, and ZooKeeper HBase; HBASE-10401 [hbck] perform overlap group merges in parallel. Log In. Expor

hbase如何实现group by和order by等的功能?_慕课猿问 - IMOO

About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators. Solved: Hello HCC, is there a way we can check user permissions for a user called 'xyz' in HBase shell and - 192905. Support Questions Find answers, ask questions, and share your expertise cancel. Turn on suggestions. Auto-suggest helps you quickly narrow down your search results.

Data Modeling In The Age Of NoSQL And Big Data - DATAVERSITY

HBase Architecture: Use Cases, Components & Data Mode

  1. 1.Apache HBase的现状和发展2.HBase RowKey与索引设计3.HBase 应用与高可用实践4.网易HBase实践5.云上HBase冷热分
  2. ute, which can be set according to the application's timeout time when the application is online service. If the application's total timeout is 3.
  3. http:/hbase.group/ 为什么有安全风险? 你访问的网站包含未知的安全风险,可能诱导你填写知乎的帐号密码、密保等信息,甚至存在木马病毒,建议你不要访问
  4. HBase executes the query and then gives the results back to Phoenix. Phoenix passes the results to Mondrian, which passes them to Saiku, We have a resolution of seconds in the DATE column, so if we grouped values by date we would end up with a group per record, hence this dimensions is useless
  5. In response to user requests, Azure Cosmos DB now supports GROUP BY for queries for SQL (Core) API. Use GROUP BY to run queries that group your results according to the values of one or more specified properties. This feature is currently supported in Data Explorer, JavaScript SDK 3.4, and .NET SDK 3.3. Support for other SDKs will be available.

Apache HBase ™ Reference Guid

Configuring Proxy Users to Access HDFS. Hadoop allows you to configure proxy users to submit jobs or access HDFS on behalf of other users; this is called impersonation. When you enable impersonation, any jobs submitted using a proxy are executed with the impersonated user's existing privilege levels rather than those of a superuser (such as hdfs ) Resource group name: use the same resource group name as you created the virtual networks. Cluster type: HBase; Version: HBase 1.1.2 (HDI 3.6) Location: Use the same location as the virtual network. By default, vnet1 is West US, and vnet2 is East US. Storage: Create a new storage account for the cluster Spark SQL Aggregate functions are grouped as agg_funcs in spark SQL. Below is a list of functions defined under this group. Click on each link to learn with a Scala example. Note that each and every below function has another signature which takes String as a column name instead of Column. Aggregate Function Syntax ORC and Parquet being columnar storage formats are faster than Avro, which would essentially need a full-scan. Furthermore, HBase and CSV are slower than Avro owing to the same reason of having to do the full scan. 3. Data retrieval times for GROUP BY, ORDER BY clause (aggregation Hbase is an open source framework provided by Apache. It is a sorted map data built on Hadoop. It is column oriented and horizontally scalable. Our HBase tutorial includes all topics of Apache HBase with HBase Data model, HBase Read, HBase Write, HBase MemStore, HBase Installation, RDBMS vs HBase, HBase Commands, HBase Example etc

What is HBase - javatpoin

Apache Phoenix enables SQL-based OLTP and operational analytics for Apache Hadoop using Apache HBase as its backing store and providing integration with other projects in the Apache ecosystem such as Spark, Hive, Pig, Flume, and MapReduce. The 5.0.0 release has feature parity with recently released 4.14.0 What to Use. HBase is well suited to key-value workloads with high volume random read and write access patterns, especially for for those organizations already heavily invested in HDFS as a common storage layer. The leading Hadoop distributor positioned HBase for super-high-scale but rather simplistic use cases.. Comparing to MongoDB, the positioning goes on to state the following.

Apache HBase - Wikipedi

  1. Apache Kylin Home. 7. SUM(field) returns a negtive result while all the numbers in this field are > 0. If a column is declared as integer in Hive, the SQL engine (calcite) will use column's type (integer) as the data type for SUM(field), while the aggregated value on this field may exceed the scope of integer; in that case the cast will cause a negtive value be returned; The workround.
  2. Table 1. Users and Groups; Component (Version) Unix User ID Groups Functionality; Apache Atlas: atlas: atlas, hadoop: Apache Atlas by default has atlas as user and group. It is configurable: Apache Flink: flink: flink: The Flink Dashboard runs as this user
  3. Each key/value pair in HBase is defined as a cell, and each key consists of row-key, column family, column, and time-stamp. A row in HBase is a grouping of key/value mappings identified by the row.
  4. Hadoop commands list is a lot bigger than the list demonstrated here, however, we have explained some of the very useful Hadoop commands below. hadoop fs lists all the Hadoop commands that can be run in FsShell hadoop fs -help will display help for that command where is the actual name of the command
  5. Hive Performance Tuning: Below are the list of practices that we can follow to optimize Hive Queries. 1. Enable Compression in Hive. By enabling compression at various phases (i.e. on final output, intermediate data), we achieve the performance improvement in Hive Queries

Guide to Using Apache HBase Ports - Cloudera Blo

  1. Hive Architecture. The following architecture explains the flow of submission of query into Hive. Hive Client. Hive allows writing applications in various languages, including Java, Python, and C++. It supports different types of clients such as:
  2. HBase Coprocessor Details. 1. Brief description. When using HBase, if you have billions of rows or millions of columns of data, the ability to return a large amount of data in a query is subject to the bandwidth of the network, and even if the network conditions allow, the client's computing may not be able to meet the requirements.In this case.
  3. Public ports vs. non-public ports. Linux-based HDInsight clusters only expose three ports publicly on the internet: 22, 23, and 443. These ports secure cluster access using SSH and services exposed over the secure HTTPS protocol. HDInsight is implemented by several Azure Virtual Machines (cluster nodes) running on an Azure Virtual Network
  4. HBase Overview and Features. HBase is an open-source wide column store distributed database that is based on Google's Bigtable. It was developed in 2008 as part of Apache's Hadoop project. Built on top of HDFS, it borrows several features from Bigtable, like in-memory operation, compression, and Bloom filters
  5. 2.6. HBase. Apache HBase is a Hadoop ecosystem component which is a distributed database that was designed to store structured data in tables that could have billions of row and millions of columns. HBase is scalable, distributed, and NoSQL database that is built on top of HDFS. HBase, provide real-time access to read or write data in HDFS
  6. g? • What is HBase? • What exist out of the Box with HBase? • What does SparkOnHBase offer? • Examples • How does SparkOnHBase Work? • Use Cases Overview ©2014 Cloudera, Inc
  7. The Users/Groups tab : assign policy permissions to users and groups The Analytics tab : perform analytics on one or more HDFS, Hive, HBase, Knox or Storm policies The Audit tab : monitor user activity at the resource level, and conditional auditing based on users, group or tim
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The Apache Drill Project Announces Apache® Drill(TM) v1.19 Milestone Release. Open Source, enterprise-grade, schema-free Big Data SQL query engine used by thousands of organizations, including Ant Group, Cisco, Ericsson, Intuit, MicroStrategy, Tableau, TIBCO, TransUnion, Twitter, and more Using the embedded-hbase-solr profile will configure Apache Atlas so that an Apache HBase instance and an Apache Solr instance will be started and stopped along with the Apache Atlas server. mvn clean -DskipTests package -Pdist,embedded-hbase-solr. The above two commands might take some time to run depending on the VM Configuration FAQ. Here are some tips for you when encountering problems with Kylin: 1. Use search engines (Google / Baidu), Kylin's Mailing List Archives, the Kylin Project on the Apache JIRA to seek a solution. 2. Browse Kylin's official website, especially the Docs page and the FAQ page. 3. Send an email to Apache Kylin dev or user mailing list: dev@kylin.apache.org, user@kylin.apache.org; before. 하둡 (Hadoop) 및 관련기술 훑어보기 1. Hadoop & 관련 기술 훑어 보기 최범균 (2013-12-02) 2. 목표 하둡 및 관련 기술들 개요 수준으로 알아보기 깊게 파기 위한 사전 준비 (이런 게 있다) 용어/이름 정도는 알고 가자 각 기술들의 정확한 동작 원리 등은 앞으로 파야 함 훑어볼 것들 Hadoop (HDFS, MR) Pig / Hive Flume. Apache Hive commands for beginners and professionals with examples. there are 2 types of hive commands: hive ddl commands, hive dml commands [hbase] branch branch-2 updated: HBASE-20220 [RSGroup] Check if table exists in the cluster before moving it to the specified regionserver group Date Mon, 14 Jan 2019 03:47:17 GM