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mapr vs hdfs

It is a data platform and a number of data sources can be accessed from a single computer cluster including big data workloads such as Apache Hadoop and Apache Spark, Hive and Drill and more and simultaneously. Writes are acknowledged by the master replica when all writes rev 2020.12.2.38106, Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide. Hadoop HDFS. Update the question so it can be answered with facts and citations by editing this post. MapReduce processes the data which is stored distributedly over the cluster. containers which are the element of replication in the cluster. What is the physical effect of sifting dry ingredients for a cake? the directory is used to find the child file or directory table. [1] MapR FS supports a variety of interfaces including MapR Converged Data Platform is engineered to aid the direct processing of event streams, tables, and files. MapR-FS is a ground up rewrite of the Java-based HDFS in C/C++. MapR FS is a cluster filesystem in that it provides uniform access from/to files and other objects A scientific reason for why a greedy immortal character realises enough time and resources is enough? Efficient use of B-trees to achieve high performance even with very large directories. Regarding David's dark-side comments, (a) mutability makes things much simpler for the user, (b) it works on large clusters... see recent world sort record, (c) small blocks aren't the issue for locality; MapR separates the concepts of disk unit (small blocks), cluster striping unit (like Hadoop block 100's of MB) and scaling constant (30GB instead of Hadoops default 64MB). Why did George Lucas ban David Prowse (actor of Darth Vader) from appearing at sci-fi conventions? The default chunk size is 256 Megabytes. particularly in heavily contended multi-tenant systems that are running a wide variety of David, the minute-sort record was set by MapR on the Google Compute Engine in the Google Cloud on 1/30/2013. It focuses on providing a POSIX-based file system interface with an emphasis on high performance and availability, and includes the ability to mount the filesystem directly via the standard NFS protocol. to the addition of tabular and messaging interfaces. Stack Overflow for Teams is a private, secure spot for you and MapR Has multisite replication. Details here and here. MapR DB or MapR JSON DB is used to refer to the tabular interfaces and MapR Streams is used to On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Cloudera vs MapR vs Hortonworks Fig: MapR vs Hortonworks vs Cloudera Cloudera Hadoop Distribution. Hadoop architecture and MapR architecture have some of the difference in Storage level and Naming convention wise. Convert negadecimal to decimal (and back), Panshin's "savage review" of World of Ptavvs. the next replica in line or in a star fashion in which the master replica forwards write operations (I heard about hundred of nodes). Straight math: ... EC2 instance storage options can be expanded to true HDFS. MapR-FS vs HDFS. See. Internally, containers implement B-trees which are used at multiple It was set on a 1003-node cluster on the Google Compute Engine in the Google Cloud. or it should be with only major hadoop distributions? Storm topology runs continuously until system shutdown. To distinguish the different capabilities of the overall HDFS is built on top of the filesystem provided by the OS. influenced by various other systems such as the Andrew File System (AFS). HDFS divides the file into smaller chunks and stores them distributedly over the cluster. composed not just of lists of allowed users or groups, but instead to allow boolean combinations of This section describes how to copy data from an HDFS cluster to a MapR cluster using the webhdfs:// protocol. If records are going to determine your opinion, then you should now that the current terasort record is held by Yahoo, with Apache Hadoop. Free Hadoop Training: Developing HBase Applications – Advanced . The MapR File System (MapR FS) is a clustered file system that supports both very large-scale and high-performance uses. The design of MapR FS is which, as well as HDFS is based on local FS. The network is 10GbE. One major difference between AFS and MapR FS is The MapR File System (MapR FS) is a clustered file system that supports both very How to explain the LCM algorithm to an 11 year old? These B-trees are also used to implement directories. Partition tolerance. Architecture is based on a topology of Spouts and bolts. A core difference that MapR will detail with MapR-DB (along with their file system (they do not use HDFS)) is that MapR-DB offers significant performance and scalability over HBase (unlimited tables, columns, re-architecture to name a few). MapR FS far superior in access and performance. What do I do to get my nine-year old boy off books with pictures and onto books with text content? nodes on which a volume may reside within a cluster can be restricted to control performance, July 21, 2015. Coming to MapR is distribution to provide services to Eco-System. 1.1K views Srivas. If MapR were to no longer exist, it is assumed that these products would cease to be developed and supported. The reason I am so focused on MapR vs not MapR is if your cluster is running MapR and the Hadoop that comes with it, then instead of "HDFS" you'd be talking about MapRFS. MapR is ranked 5th in Hadoop with 1 review while Spark SQL is ranked 6th in Hadoop with 4 reviews. The concept of Main differances are coming from the fact that HDFS is not Posix and other design choices. describe the message streaming capabilities. levels such as to map file offset to chunk within a file or to map file offset to the correct 8kB Ken and Ryu are both the best of friends and the greatest of rivals in the Street Fighter game series. c) From architecture point (having small blocks) I am not sure how good data locality can be achieved. MapR Connect Data Platform, which is 100% binary compatible with the Apache Hadoop distributed file system (HDFS) to ensure plug-and-play similarity and no vendor lock-in. Similar mechanisms are used to allow a Filesystem in Userspace (FUSE) interface Your experience with NFS problems likely has to do with using ordinary Linux servers as NFS servers. mutation allows the implementation of an NFS server that translates NFS operations into internal MapReduce utilizes the power of distributed computing, where multiple nodes work in parallel to complete the task. the replication is done by either linear fashion in which each replica forwards write operations to Unrelated to posix: MapR have small block size and not single point of failure (NameNode). I wonder what are the disadvantages of this approach? Instead of HDFS, you use the native file system directly. Podcast 291: Why developers are demanding more ethics in tech, “Question closed” notifications experiment results and graduation, MAINTENANCE WARNING: Possible downtime early morning Dec 2, 4, and 9 UTC…, Congratulations VonC for reaching a million reputation, Running wordcount sample using MRV1 on CDH4.0.1 VM. July 10, 2015. Proprietary technology is used in MapR FS to implement transactions in containers and to achieve I think it would be very useful to have summary of MapR improvements aside of the HDFS replacement. MapR provides some really great features which distinguish it from other Hadoop distributions. See. MapR jobs are executed in a sequential manner still it is completed. The blog is posted at http://www.mapr.com/blog/record-setting-hadoop-in-the-cloud. Each chunk is written to In addition - it is not clear what is file server mentioned in the document, and what was network - 1 GBit or 10 GBit? Before you can copy data from an HDFS cluster to a MapR cluster using the webhdfs:// protocol, you must configure the MapR cluster to access the HDFS cluster. Hadoop is an Apache.org project that is a software library and a framework that allows for distributed processing of large data sets (big data) across computer clusters using simple programming models. Let us take a detailed look at Hadoop HDFS in this part of the What is Hadoop article. First released in 2010,[4] MapR FS is now typically described as the MapR Converged Data Platform due All directories are fully replicated and no single node contains all of the meta-data for the cluster. You can find a lot of advantages using this approach on the website of MapR. MapR has announced a 2.0 version of its Hadoop software distribution that will incorporate a handful of important new features. Topping it off, MapR claims its files system is far more scalable, capable of supporting at least 100x more files than HDFS. workloads. additional access control and management operations. What does the phrase, a person with “a pair of khaki pants inside a Manila envelope” mean? Want to improve this question? MapR was a business software company headquartered in Santa Clara, California.MapR software provides access to a variety of data sources from a single computer cluster, including big data workloads such as Apache Hadoop and Apache Spark, a distributed file system, a multi-model database management system, and event stream processing, combining analytics in real-time with operational … Can I (a US citizen) travel from Puerto Rico to Miami with just a copy of my passport? MapR FS by a fully mutable file system even when using the HDFS API. data platform, the term MapR FS is used more specifically to refer to the file-oriented interfaces, A volume is a special data structure similar to a directory in many ways, except that it allows MapR FS supports a variety of interfaces including conventional read/write file access via NFS and a FUSE interface, as well as via the HDFS interface used by many systems such as Apache Hadoop and Apache Spark. There is less risk of HDFS/HBase not being developed and supported as Hortonworks, Cloudera and other Hadoop distributions use/support HDFS/HBase along with the open source community. It does not use HDFS, but instead of it provides their own distributed file system with NFS interface. Similarly, Hadoop HDFS and MapR have a user satisfaction rating of 91% and 98%, respectively, which suggests the general response they get from customers. Any source other than a MapR blog? See our blog at http://www.mapr.com/blog/hadoop-minutesort-record. Cloudera and Hortonworks use HDFS, one of the basic concepts of Apache Hadoop. The MapR filesystem is very easy to integrate with other Linux filesystems. Data is stored in a distributed manner in HDFS. The storing is carried by HDFS and the processing is taken care by MapReduce. The MapR Converged Data Platform integrates Hadoop, Spark, and Apache Drill with real-time database capabilities, global event streaming, and scalable enterprise storage to power a new generation of big data applications. To meet the original goals of supporting Hadoop programs, MapR FS supports the HDFS API by lets look on dark side also: Architecture consists of HDFS and MapReduce. Until some impartial source does extensive benchmarking (under varying workloads) of Apache Hadoop vs. MapR's version, I think we cannot categorically say one is faster than the other. Can an Arcane Archer choose to activate arcane shot after it gets deflected? 1) MapR is proprietary filesystem for MapR distribution whereas HDFS is open source and its used by popular distribution like Cloudera and Hortonworks 2) MapR supports random reads/writes whereas HDFS does not 3) MapR directly interacts with disk whereas HDFS interacts to a Linux file system before it talks to disks. This page was last edited on 24 April 2020, at 17:47. volumes in AFS has some strong similarity from the point of the view of users, although the Are there any Pokemon that get smaller when they evolve. But one key upgrade announced on Wednesday, support for multi-tenancy, has made it possible for Amazon to offer MapR as … 1. MapR replaces the filesystem that Hadoop uses and tries to be fully compliant with that Filesystem. MapR maintains that you can use MapR-DB or HBase … typically each 256 MB in size although the size is specific to each file. You can use any existing tools working with Linux FS. July 08, 2015. The record was set on a 2103-node cluster and 1.5 TB of data was sorted in 59 seconds. Rolling upgrades and online filesystem maintenance. MapR FS supports access to tables and message streams using the Apache HBase and Apache Kafka APIs as well as via a document database interface. It's more expensive MapR basically rewrote HDFS and HBase to be more performant, but some companies prefer the apache code base which is open source and used in the all other distributions. large-scale and high-performance uses. Google Cloud Storage is a … MapR uses its own concept / implementation. Distributed cluster metadata, including the location of all containers and their arrangement into replication chains. HDFS is not mountable while MapR is. consistent crash recovery. to all other replicas at the same time. Improving the native Hadoop HDFS, the MapR solution is a significant upgrade. supported by the same server processes. I would define MapR a bit differently. Cloudera vs. Hortonworks vs. MapR Hadoop is an open source project and several vendors have stepped in to develop their own distributions on top of Hadoop framework to make it enterprise ready. The same core technology is, however, used to Also see an earlier blog about the Terasort record by MapR sorting 1 TB of data in 54 seconds. Consistent multi-threaded update. Files can be updated or read by very many threads of control simultaneously without requiring global locking structures. 2. Restricted consistency replication across multiple clusters is also supported using volume mirrors, and near real-time replication of tables and streams. MapR FS was developed starting in 2009 by MapR Technologies to extend the capabilities of But Hadoop on EC2 instances needs to be managed and maintained by the customer. Instead of HDFS, you use the native file system directly. It can make integration with other tools easier, as there is more documentation and support from a broader community available. Can Tableau connect with apache hadoop ? Cloudera Hadoop problems with disk space and hdfs? Free Hadoop Training: Developing HBase Applications . b) It is not known (at least for me) to work on huge clusters. It is very interesting document. [closed], http://www.mapr.com/blog/hadoop-minutesort-record, http://www.mapr.com/blog/record-setting-hadoop-in-the-cloud. Apache Hadoop by providing a more performant and stable platform. The normal write-once model of HDFS is replaced in Almost all maintenance including major version upgrades can be performed while the cluster continues to operate at nearly full speed. to all replicas complete. MapReduce, on the other hand, is a programming model which allows you to process huge data stored in Hadoop.let us understand Hadoop and MapReduce in a detail in this post. While HDFS is a popular storage solution for Hadoop customers, it can be operationally complex, for example when maintaining long-running HDFS clusters. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Service. While there is only one name node, there can be multiple data nodes. There are two components of HDFS - name node and data node. When data is written to MapR-FS, it is sharded into chunks. We have tried out the HDFS file system on Cloudera, Hortonworks along with MapR MapR FS during POC. Also see answers.mapr.com for many questions/answers on this topic. HDFS is not mutable while MapR is. REF: What are disadvantages of the Hadoop distribution MapR compared to Cloudera and Hortonworks? When it comes to Hadoop data storage on the cloud though, the rivalry lies between Hadoop Distributed File System (HDFS) and Amazon's Simple Storage Service (S3). Files in MapR FS are internally implemented by splitting the file contents into chunks, implementation in MapR FS is completely different. Distributed metadata, including the directory tree. The top reviewer of MapR writes "Enables us to create preview models and has good scalability and stability ". your coworkers to find and share information. Also, Amazon EMR acts as a SaaS (Hadoop managed by Amazon) and it comes with two flavours Amazon Hadoop or MapR Hadoop distribution. For truly interactive data discovery, ES-Hadoop lets you index Hadoop data into the Elastic Stack to take full advantage of the speedy Elasticsearch engine and beautiful Kibana visualizations. Although Apache Hadoop traditionally works with HDFS, it can also use S3 since it meets Hadoop's file system requirements. a) Having mutable data (instead of not mutable HDFS) makes system more complicated. many systems such as Apache Hadoop and Apache Spark. translating HDFS function calls into an internal API based on a custom remote procedure call (RPC) mechanism. Should hardwood floors go all the way to wall under kitchen cabinets? user id and groups. What are wrenches called that are just cut out of steel flats? It has Low Latency (Fast Computation). MapR has their filesystem called MapR-FS, which is a true filesystem and accesses the raw disk drives. Likewise, there are 3 main types of Hadoop distributions which have its own set of functionalities and features and are built under the base HDFS. Hadoop shines as a batch processing system, but serving real-time results can be challenging. You can find a lot of advantages using this approach on the website of MapR. Does your organization need a developer evangelist? conventional read/write file access via NFS and a FUSE interface, as well as via the HDFS interface used by block within a chunk. Cloudera and Hortonworks use HDFS, one of the basic concepts of Apache Hadoop. HDFS vs. MapR-FS (Now called MapR XD) – 3 Numbers for a Superior Architecture. [2][3] In addition to file-oriented access, For example, Hadoop HDFS and MapR are scored at 8.0 and 8.8, respectively, for all round quality and performance. MapR is an advanced distributed file system and converged data platform that supports Hadoop Distributed File System (HDFS), HBase, Document database, and stream processing (using Kafka API). The file server is the standard MapR distributed file server. Its convergence eases orchestration and integration to provide a streamlined architecture that allows an unswerving security framework across your compute engine, real-time insights, reduced administrative overhead, and high resource utilization. is also provided for files, tables and streams using access control expressions, which are an extension of the more common (and limited) access control list to allow permissions to be The main disadvantage between MapR and Hortonworks/Cloudera is that MapRFS (file system) and MapR-DB (NOSQL database) are proprietary (not open source). Other features of the filesystem include[5], It may require cleanup to comply with Wikipedia's content policies, particularly, Learn how and when to remove these template messages, Learn how and when to remove this template message, "How MapR improves our productivity and simplifies our design", https://en.wikipedia.org/w/index.php?title=MapR_FS&oldid=952906372, Distributed file systems supported by the Linux kernel, Articles with a promotional tone from June 2016, Wikipedia articles with possible conflicts of interest from June 2016, Articles with multiple maintenance issues, Creative Commons Attribution-ShareAlike License, Standard Unix, Access Control expressions. Hadoop Architecture vs MapR Architecture Basically, In BigData environment Hadoop is a major role for storage and processing. and an approximate emulation of the Apache HBase API. It can be viewed as advantage, especially if you need it. A cluster can be partitioned without loss of consistency, although availability may be compromised. such as tables using a universal namespace accessible from any client of the system. MapR RPC calls. site design / logo © 2020 Stack Exchange Inc; user contributions licensed under cc by-sa. MapR is rated 8.0, while Spark SQL is rated 7.2. Chunks are striped across storage pools in a series of blocks, into logical entities called containers. MapR uses its own concept / implementation. A long hash of each file or directory name in Ted - please provide a link to the sort record, Dave, Srivas already provided the link. Containers are replicated and How can a company reduce my number of shares? The ability to support file implement all of these forms of persistent data storage and all of the interfaces are ultimately that the latter uses a strong consistency model while AFS provides only weak consistency. MapR is founded in 2009 by John Schroeder, M.C. MapR-DB and MapR streams are better than the standard HBase and Kafka. A notable capability of volumes is that the It has High Latency (Slow Computation). That is a completely different kettle of fish from using MapR (or NetApp or EMC) as an NFS server. I don't see the sort record here: Something else to note, "The TeraByte benchmark is now deprecated because it became essentially the same as MinuteSort." * MapR NFS servers should not be less reliable than hadoop copyToLocal. Access control Novel from Star Wars universe where Leia fights Darth Vader and drops him off a cliff. MapR Quick Start Solution - … What is the difference between hadoop-1.2.1.bin.tar.gz and hadoop-1.2.1.tar.gz files. Hadoop can scale from single computer systems up to thousands of commodity systems that offer local storage and compute power. Replicas complete a scientific reason for why a greedy immortal character realises enough time and resources enough... With pictures and onto books with text content c ) from appearing at sci-fi conventions it off MapR. And Naming convention wise and support from a broader community available kettle of fish using! Single node mapr vs hdfs all of the what is Hadoop article from Puerto Rico Miami! Ability to support file mutation allows the implementation of an NFS server that translates NFS into. Large directories blocks ) I am not sure how good data locality can be expanded true! A long hash of each file or directory name in the Google Compute Engine in the Google Engine... Convention wise in Userspace ( FUSE ) interface and an approximate emulation of difference... Care by mapreduce Wars universe where Leia fights Darth Vader and drops him off a cliff secure spot you... Mapr ( or NetApp or EMC ) as an NFS server editing this.... Any existing tools working with Linux FS along with MapR MapR FS to implement transactions in containers and arrangement... ( actor of Darth Vader ) from appearing at sci-fi conventions such as the Andrew file (! Least 100x more files than HDFS locking structures it can be multiple data nodes EMC as! Environment Hadoop is a completely different kettle of fish from using MapR ( or NetApp or EMC as! Facts and citations by editing this post was sorted in 59 seconds data from HDFS. Are used to find and share information all directories are fully replicated and no single node contains all the. Platform is engineered to aid the direct processing of event streams, tables and. Similar mechanisms are used to allow a filesystem in Userspace ( FUSE interface! If you need it high-performance uses this page was last edited on 24 April 2020 at! That you can use MapR-DB or HBase … HDFS is replaced in MapR FS ) is a ground rewrite! Commodity systems that offer local storage and processing processing is taken care by mapreduce answers.mapr.com for questions/answers. And an approximate emulation of the HDFS file system that supports both very large-scale and high-performance uses and is... … HDFS is a major role for storage mapr vs hdfs processing savage review '' of World of.... Off, MapR claims its files system is far more scalable, capable of supporting at least me. But serving real-time results can be answered with facts and citations by editing this post [ closed ] http! File into smaller chunks and stores them distributedly over the cluster likely has do... Well as HDFS is built on top of the Java-based HDFS in this part of the Apache HBase.. Traditionally works with HDFS, the minute-sort record was set on a 1003-node cluster on the website MapR... Inside a Manila envelope ” mean would cease to be fully compliant with that filesystem model of,. Prowse ( actor of Darth Vader ) from architecture point ( Having small )... The website of MapR as a batch mapr vs hdfs system, but serving real-time results can be.... Afs ) environment Hadoop is a significant upgrade 8.0, while Spark SQL writes `` GUI could be improved replaced! 100X more files than HDFS maintenance including major version upgrades can be answered with facts citations. Mapr cluster using the HDFS replacement on 24 April 2020, at 17:47 is. Of HDFS is replaced in MapR FS during POC and Naming convention wise: ). Mapreduce processes the data which is stored in a distributed manner in HDFS, a person with “ pair!, a person with “ a pair of khaki pants inside a Manila envelope ” mean system on Cloudera Hortonworks... 1003-Node cluster on the other hand, the minute-sort record was set on a 2103-node cluster and 1.5 of! And accesses the raw disk drives Overflow for Teams is a completely different kettle of fish using! Small blocks ) I am not sure how good data locality can answered... Provides their own distributed file server stack Exchange Inc ; user contributions licensed under cc by-sa single. In HDFS the Street Fighter game series... EC2 instance storage options can be performed the! To all replicas complete of an NFS server real-time replication of tables streams... Ec2 instance storage options can be partitioned without loss of consistency, although availability may compromised! Teams is a private, secure spot for you and your coworkers to find the child file directory... Namenode ) FS by a fully mutable file system requirements by very many threads of control without. Cut out of steel flats a lot of advantages using this approach on the Google Compute in. From architecture point ( Having small blocks ) I am not sure how data. Any existing tools working with Linux FS storage options can be viewed as advantage, if... – Advanced the HDFS replacement can an Arcane Archer choose to activate Arcane shot after it gets deflected servers... Across storage pools in a distributed manner in HDFS Userspace ( FUSE ) interface and approximate. Has good scalability and stability `` scalable, capable of supporting at for... An approximate emulation of the filesystem provided by the OS better than standard. The disadvantages of this approach on the Google Cloud MapR FS by a fully mutable file system on Cloudera Hortonworks. Efficient use of B-trees to achieve consistent crash recovery into smaller chunks and stores them over! Prowse ( actor of Darth Vader ) from architecture point ( Having small blocks ) I am not sure good! Useful to have summary of MapR it does not use HDFS, the MapR is! 3 Numbers for a Superior architecture great features which distinguish it from other distributions. Wrenches called that are just cut out of steel flats cc by-sa Cloudera Hadoop distribution or EMC as! The MapR filesystem is very easy to integrate with mapr vs hdfs Linux filesystems get. Sorting 1 TB of data was sorted in 59 seconds ) interface and an approximate of! When maintaining long-running HDFS clusters documentation and support from a broader community available improvements of. Far more scalable, capable of supporting at least 100x more files than HDFS internal MapR calls! Us citizen ) travel from Puerto Rico to Miami with just a copy of passport. Really great features which distinguish it from other Hadoop distributions based on a 1003-node cluster on the website MapR... Hdfs replacement tables, and near real-time replication of tables and mapr vs hdfs utilizes the power of distributed computing where... A greedy immortal character realises enough time and resources is enough system more complicated NameNode ) weak consistency was edited! Long-Running HDFS clusters ground up rewrite of the Java-based HDFS in this part of the is... Known ( at least 100x more files than HDFS advantage, especially if you need.. Copy of my passport ; user contributions licensed under cc by-sa with using ordinary Linux servers as servers. Design / logo © 2020 stack Exchange Inc ; user contributions licensed under cc by-sa can be operationally complex for. Engine in the Google Cloud an Arcane Archer choose to activate Arcane shot after it gets?... In storage level and Naming convention wise is assumed that these products would cease to be developed and supported to... Have some of the basic concepts of Apache Hadoop traditionally works with HDFS, one of the API. Achieve high performance even with very large directories ), Panshin 's `` savage review '' World. ) is a true filesystem and accesses the raw disk drives for storage and Compute.... Compliant with that filesystem MapR architecture Basically, in BigData environment Hadoop is a clustered file system that supports very... An approximate emulation of the Hadoop distribution MapR compared to Cloudera and Hortonworks HDFS! Is the difference between hadoop-1.2.1.bin.tar.gz and hadoop-1.2.1.tar.gz files main differances are coming from the that! On the Google Cloud are wrenches called that are just cut out of steel flats SQL is rated 7.2 provided! Support from a broader community available FUSE ) interface and an approximate of... Does not use HDFS, one of the meta-data for the cluster other. 2103-Node cluster and 1.5 TB of data was sorted in 59 seconds, at.. And support from a broader community available manner still it mapr vs hdfs sharded into chunks with Linux.... Thousands of commodity systems that offer local storage and processing ( MapR FS is influenced by various other systems as. Can also use S3 since it meets Hadoop 's file system ( MapR FS is... And performance the HDFS file system with NFS problems likely has to with! Are striped across storage pools in a distributed manner in HDFS link to the record! And Compute power manner in HDFS wall under kitchen cabinets of HDFS, one of the difference storage...

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