kandi X-RAY | hbase Summary
kandi X-RAY | hbase Summary
Apache HBase [1] is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al.[2] Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop [3]. To get started using HBase, the full documentation for this release can be found under the doc/ directory that accompanies this README. Using a browser, open the docs/index.html to view the project home page (or browse to [1]). The hbase 'book' at has a 'quick start' section and is where you should being your exploration of the hbase project. The latest HBase can be downloaded from an Apache Mirror [4]. The source code can be found at [5]. The HBase issue tracker is at [6]. Apache HBase is made available under the Apache License, version 2.0 [7]. The HBase mailing lists and archives are listed here [8]. The HBase distribution includes cryptographic software. See the export control notice here [9].
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Top functions reviewed by kandi - BETA
- add HBase methods
- Finish the active master .
- This method is used to perform the compaction .
- Generate assignment plan .
- Create a record writer .
- Checks for consistency .
- Process a multi request .
- Fill the snapshot .
- Retrieves next row .
- Perform a rolling split on a table .
hbase Key Features
hbase Examples and Code Snippets
Lines of Code : 17License : Permissive (MIT License)
Copyprivate void connect() throws IOException, ServiceException {
Configuration config = HBaseConfiguration.create();
String path = this.getClass().getClassLoader().getResource("hbase-site.xml").getPath();
config.addResource(new Community Discussions
Trending Discussions on hbase
QUESTION
I have a very simple Scala HBase GET application. I tried to make the connection as below:
...ANSWER
Answered 2022-Feb-11 at 14:32You will get this error message when Jaas cannot access the kerberos keytab.
Can you check for user permission issues? Login as user that will run the code and do a kinit ? What error message do you get? (Resolve the permission issue I'm suggesting you have.)
You seem to rule out a path issue, and seem to have the correct '\\'.
QUESTION
We are in the process of migrating a Hadoop Workload to Azure Databricks. In the existing Hadoop ecosystem, we have some HBase tables which contains some data(not big). Since, Azure Databricks does not support Hbase, we were planning if we can replace the HBase tables with Delta tables. Is this technically feasible, if yes, is there any challenges or issues we might face during the migration or in the target system.
...ANSWER
Answered 2022-Jan-17 at 08:22It all comes to the access patterns. HBase is OLTP system where you usually operate on individual records (read/insert/update/delete) and expect subsecond (or millisecond) response time. Delta Lake, on other side is OLAP system designed for efficient processing of many records together, but it could be slower when you read individual records, and especially when you update or delete them.
If your application needs subseconds queries, especially with updates, then it make sense to setup a test to check if Delta Lake is the right choice for that - you may need to look onto Databricks SQL that is doing a lot of optimizations for fast data access.
If it won't fulfill your requirements, then you may look onto other products in Azure ecosystem, like, Azure Redis or Azure CosmosDB that are designed for OLTP-style data processing.
QUESTION
I have Hadoop/HBase/Pig all running successfully under windows 10. But when I go to install Hive 3.1.2 using this guide I get an error initializing Hive under Cygwin:
...ANSWER
Answered 2021-Dec-31 at 16:15To get rid of the first error I'd found (and posted about in the OP), I had to go to the $HIVE_HOME/lib directory and remove this old guava library file: guava-19.0.jar
I had to make sure that the guava library I'd copied from the Hadoop library was there: guava-27.0-jre.jar
On the next attempt I got a different error:
QUESTION
Iam struggling to understand why the first way works and the second throws error.
Suppose we have this array
ANSWER
Answered 2021-Nov-14 at 12:37The error is in your data:
interests =[(0,"Hadoop"),(0,"Big Data"),(0,"HBase"),(0,"Java"),(0,"Spark"),(0,"Storm"),(0,"Cassandra"),(1,"NoSQL",0), (1,"MongoDB"),(1,"Cassandra"),(1,"HBase"),(1,"Postgres"),(2,"Python"),(2,"scikit-learn"),(2,"scipy"),(2,"numpy"), (2,"statsmodels"),(2,"pandas"),(3,"R"),(3,"Python"),(3,"statistics"),(3,"regression"),(3,"probability"), (4,"machine learning"),(4,"regression"),(4,"decision trees"),(4,"libsvm"),(5,"Python"),(5,"R"),(5,"Java"), (5,"C++"),(5,"Haskell"),(5,"programming languages"),(6,"statistics"),(6,"probability"),(6,"mathematics"), (6,"theory"),(7,"machine learning"),(7,"scikit-learn"),(7,"Mahoot"),(7,"neural networks"),(8,"neural networks"), (8,"deep learning"),(8,"Big Data"),(8,"artificial intelligence"),(9,"Hadoop"),(9,"Java"),(9,"MapReduce"), (9,"Big Data")]
You have a third element in the bolded text which python is complaining about.
QUESTION
I'm trying to connecting to a remote hbase from a java application.
The remote hbase version is 2.1.0, such as my local hbase-client.
The code is working well with another cloudera environment, the only difference is that this environment is protected with kerberos, but I get login successfull in the log.
In the RpcServer log I found "Expected HEADER=HBas but received HEADER=\x00\x00\x01\x0B from :61866".
I can't find any on internet and I don't know what to check.
Any help on what should I check?
...ANSWER
Answered 2021-Sep-29 at 14:43Online I found only old or wrong configuration.
This one is the only that worked for me:
QUESTION
Is there any offline analytical processing? If there is, what is the difference with online analytical processing?
In What are OLTP and OLAP. What is the difference between them?, OLAP is deals with Historical Data or Archival Data. OLAP is characterized by relatively low volume of transactions. Queries are often very complex and involve aggregations.
I don't understand what does the word online in online analytical processing mean?
Is it related to real time processing(About real-time understanding: In a short time after the data is generated, this data can be analyzed. Am I wrong with this understanding)?
When does the analysis happen?
I imagine a design like this:
log generated in many apps -> kafka -> (relational DB) -> flink as ETL -> HBase, and the analysis will happen after data is inserted into HBase. Is this correct?
If yes, why is it called online?
If no, when does analysis happen? Please correct me if this design is usually not in the industry.
P.S. Assuming that the log generated by the apps in a day has a PB level
...ANSWER
Answered 2021-Sep-15 at 00:07TLDR: as far as I can tell "Online" appears to stem from characteristics of a scenario where handling transactions with satellite devices (ATM's) was a new thing.
Long version
To understand what "online" in OLTP means, you have to go back to when ATM's first came out in the 1990s.
If you're a bank in the 1990s, you've got two types of system: your central banking system (i.e. mainframe), and these new fangled ATM's connected to it... online.
So if you're a bank, and someone wants to get money out, you have to do a balance check; and if cash is withdrawn you need to do a debit. That last action - or transaction - is key, because you don't want to miss that - you want to update your central record back in the bank's central systems. So that's the transactional processing (TP) part.
The OL part just refers to the remote / satellite / connected devices that participate in the transaction processing.
OLTP is all about making sure that happens reliably.
QUESTION
Thanks for your help!
When I try to read from Hbase, I got Exception!
I'm try to set --jars and set spark.sparkContext.addJar("./hbase-spark-1.0.0.jar"),but it doesn't work;
And I also I try to keep hbase and sbt as the same version, it's doesn't work too;
my sbt code:
...ANSWER
Answered 2021-Sep-10 at 09:07The HBase Spark connector uses server-side filters and thus requires that you add several JAR files to the class path of each HBase region server:
hbase-spark-.jarhbase-spark-protocol-shaded-.jarscala-library-.jar
Here, is the version of the HBase Spark connector, which in your case is 1.0.0. is the version of the Scala run-time library, which in your case is 2.11.something. You can pull the library from the local Maven cache. Look under
QUESTION
Has anyone managed to access HBase running as a service on Amazon EMR cluster with Athena? I'm trying to establish a connection to the HBase instance, but the lambda (provided with Athena java function) fails with the following error:
...ANSWER
Answered 2021-Sep-10 at 08:52Finally, the solution for the issue is to create appropriate dns records for each cluster ec2 instance with the necessary names inside Amazon Route53 service.
QUESTION
I want to use Spark SQL (installed on Machine 1) with connectors for different data stores like HBase, Hive, Cassandra, and MySQL (installed on Machine 2 to perform simple analytics like Min/Max, averaging, etc.
My Question: Is the processing of these queries done on Machine 1 or Spark SQL acts as just an interface to perform different analytics but on the data store end (ie. Machine 2)?
...ANSWER
Answered 2021-Aug-25 at 20:19Yes and no. It depends on your spark job.
Spark SQL is a separate implementation. It is datastore agnostic. When you implement a spark sql job , spark transforms it into something called DAG. It is a similar technique to a database query plan, but running completely on the spark cluster.
In case of simple min / max, it might be translated into a direct underlying store query. But it might also be translated into something which is preselecting bunch of records, then doing an own data processing. This way it is also possible to join and aggregate data from different data sources.
You can analyze the spark sql plan with common explain statement or via spark web ui.
QUESTION
Is there a maximum storage space configuration in HDFS or HBase?
I've found
dfs.data.dir: "Comma separated list of paths on the local filesystem of a DataNode where it should store its blocks" and
dfs.datanode.du.reserved: but it's for non DFS space reserved for HDFS
in the hadoop documentation
For HBase I've found some heap size configurations and compaction intervals, Memstore Flush Size, but none of these seem to regulate maximum size for a single node.
Is there any configuration for either HBase or HDFS that regulates how much space they will occupy in a single node?
(I am running tests on a single machine)
...ANSWER
Answered 2021-Aug-24 at 21:24Generally speaking, dfs.data.dir will be a formatted volume that is mounted specifically for HDFS data. Therefore, the "maximum" is the number of physical SATA/USB/M.2 NVME connectors on the datanode's motherboard times the size of the largest hard-drives you can find.
If not using dedicated volumes/devices, the max is still limited by the disk sizes, but dfs.datanode.du.reserved will leave space for the OS to run on its own.
Neither is related to memory usage / heap space
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Install hbase
You can use hbase like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the hbase component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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