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NFS and ODBC
1.
Using Standard File-Based
Applications and SQL-Based Tools with Hadoop ©MapR Technologies - Confidential 1
2.
http://info.mapr.com/Japan-HUG-8-2012
Tomer Shiran tshiran@maprtech.com Director of Product Management, MapR Technologies ©MapR Technologies - Confidential 2
3.
The MapR Distribution
for Apache Hadoop The open, enterprise-grade distribution for Apache Hadoop – Open source components • Hive, Pig, Cascading, HBase, ZooKeeper, Oozie, Flume, Sqoop, Whirr, … – Enhancements to make Hadoop more open and enterprise-grade Fastest growing distribution – Thousands of clusters deployed Now available as a service with Amazon Elastic MapReduce (EMR) – http://aws.amazon.com/elasticmapreduce/mapr ©MapR Technologies - Confidential 3
4.
Recent News
Amazon selects MapR to provide the enterprise-grade Hadoop distribution in EMR Google selects MapR to provide Hadoop on Google Compute Engine MapR launched open source Apache Drill project inspired by Google Dremel – Low latency queries ©MapR Technologies - Confidential 4
5.
MapR
Make Hadoop Make Hadoop more open enterprise-grade This presentation ©MapR Technologies - Confidential 5
6.
Not All Applications
Use the Hadoop APIs Applications and libraries that use files and/or SQL 30 years 100,000s applications 10,000s libraries 10s programming languages Applications and libraries that use the Hadoop APIs ©MapR Technologies - Confidential 6
7.
Hadoop Needs Industry-Standard
Interfaces Hadoop • MapReduce and HBase applications API • Mostly custom-built • File-based applications NFS • Supported by most operating systems • SQL-based tools ODBC • Supported by most BI applications and query builders ©MapR Technologies - Confidential 7
8.
NFS ©MapR Technologies -
Confidential 8
9.
Your Data is
Your Data HDFS-based Hadoop distributions do not (cannot) support NFS Your data is your data – make sure you can access it – Why store your data in a system which cannot be accessed by 95% of the world’s applications and libraries? ©MapR Technologies - Confidential 9
10.
The NFS Protocol
RFC 1813 WRITE3res NFSPROC3_WRITE(WRITE3args) = 7; struct WRITE3args { nfs_fh3 file; Very simple protocol offset3 offset; count3 count; stable_how stable; Random reads/writes opaque data<>; – Read count bytes from }; offset offset of file file – Write buffer data to READ3res NFSPROC3_READ(READ3args) = 6; offset offset of a file file struct READ3args { nfs_fh3 file; offset3 offset; HDFS does not support count3 count; random writes so it }; cannot support NFS ©MapR Technologies - Confidential 10
11.
S3
o.a.h.fs.s3native.NativeS3FileSystem ©MapR Technologies - Confidential HDFS o.a.h.hdfs.DistributedFileSystem Storage Layers Local File System o.a.h.fs.LocalFileSystem MapReduce FTP o.a.h.fs.ftp.FTPFileSystem 11 MapR storage layer o.a.h.fs.FileSystem Interface com.mapr.fs.MapRFileSystem Hadoop Was Designed to Support Multiple Hadoop NFS interface FileSystem API
12.
One NFS Gateway ©MapR
Technologies - Confidential 12
13.
Multiple NFS Gateways ©MapR
Technologies - Confidential 13
14.
Multiple NFS Gateways
with Load Balancing ©MapR Technologies - Confidential 14
15.
Multiple NFS Gateways
with NFS HA (VIPs) ©MapR Technologies - Confidential 15
16.
Customer Examples: Import/Export
Data Network security vendor – Network packet captures from switches are streamed into the cluster – New pattern definitions are loaded into online IPS via NFS Online measurement company – Clickstreams from application servers are streamed into the cluster SaaS company – Exporting a database to Hadoop over NFS Ad exchange – Bids and transactions are streamed into the cluster ©MapR Technologies - Confidential 16
17.
Customer Examples: Productivity
and Operations Retailer – Operational scripts are easier with NFS than DFS + MapReduce • chmod/chown, file system searches/greps, make, tab-complete – Consolidate object store with analytics Credit card company – User and project home directories on Linux gateways • Local files, scripts, source code, … • Administrators manage quotas, snapshots/backups, … Large Internet company – Web server serve MapReduce results (item relationships) directly from cluster Email marketing company – Object store with HBase and NFS ©MapR Technologies - Confidential 17
18.
©MapR Technologies -
Confidential 18
19.
MapR Roadmap: What? ©MapR
Technologies - Confidential 19
20.
ODBC ©MapR Technologies -
Confidential 20
21.
ODBC
ODBC – Open DataBase Connectivity – Open standard API for accessing a SQL-based backend – Developed by Microsoft and Simba Technologies in 1992 Flagship API for SQL-based BI and reporting – Excel, Tableau, MicroStrategy, Crystal Reports, … Advanced ODBC drivers use the latest 3.52 specification ©MapR Technologies - Confidential 21
22.
MapR ODBC Driver
MapR provides a Hive ODBC 3.52 driver – Developed in partnership with ODBC inventor Simba Technologies – Compliant with latest ODBC 3.52 specification • 32- and 64-bit platform support • Windows and Linux Enables direct SQL access to MapR-stored data by translating SQL to HiveQL SQLizer enables seamless connectivity – Provides ANSI SQL-92 front-end – Targeted for existing apps that generate standard SQL queries – Transforms SQL query into HiveQL query ©MapR Technologies - Confidential 22
23.
Example: Tableau ©MapR Technologies
- Confidential 23
24.
Example: Tableau ©MapR Technologies
- Confidential 24
25.
Example: Open source
query builder (Kaimon) ©MapR Technologies - Confidential 25
26.
Example: Microsoft Excel ©MapR
Technologies - Confidential 26
27.
Time for Questions
Download slides or send me an email – http://info.mapr.com/Japan-HUG-8-2012 Download MapR to learn more – www.mapr.com/download Contact EMC Greenplum Japan – Yoshiaki Hirabayashi – Yoshiaki.Hirabayashi@emc.com – Akihiko Kusanagi – Akihiko.Kusanagi@emc.com ©MapR Technologies - Confidential 27
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