Ruchunli's work notes , a good memory is worse than a bad pen
Impala is a real-time, open source project published by Cloudra, based on hive but using memory for computing, is the preferred petabyte-scale big data real-time query analysis engine using CDH.There are two ways to install Impala, CM mode and manual installation, manual installation is more troublesome, need additional steps to verify the interaction with other components, the use of
system developed for organizing data processing tasks, born in the workflow kernel, Rather than point-to-point analysis.
Today, a large number of bi/analysis queries are point-to-point patterns, which are interactive and low latency analysis. Hadoop's map and reduce workflows have deterred many analysts, and the long cycle of work-start and completion workflows has meant a bad user experience for many interactive analyses. As a result, Google invented the Dremel (industry also known as BigQue
, Nic should be able to handle the total throughput of the OSD hard disk, so recommend a minimum of two gigabit network cards, respectively, for public network and Cluster_network. A clustered network (preferably not connected to the Internet) is used to handle the additional load generated by data replication and helps prevent denial of service * * *, which interferes with the data co-locating group so that it cannot return to the Active+clean state when the OSD data is copied. Consider deployi
responsible for data storage and indexing, Logstash is responsible for data adjustment, filtering, transmission, Kibana responsible for data display.EalsticsearchFirst of all, ES, which is a good lucene-based storage engine, can also be seen as a petabyte-level NoSQL DB. Support CRUD, multi-field query, Aggreagation, full-text search, can be said to cover a variety of query requirements. It comes with features like replication and sharding that can b
Computer storage unit bit (BIT) (binary digits): stores a bit of binary, that is, 0 or 1, the smallest storage unit. Byte: eight binary bits are one byte (B), the most common unit. That is, 1B (byte bytes) = 8 bit computer storage units are generally represented by B, kb, MB, GB, TB, Pb, EB, ZB, Yb, BB, the relationship between them is: 1 kb (kilobyte kilobytes) = 1024b, 1 MB (megabyte megabytes referred to as "megabytes") = 1024kb, 1 GB (gigabyte gigabytes, also known as "Gigabytes ") = 1024 MB
) + INTEGER (month (ls_date)/12), MOD (month (ls_date), 12) + 1,1),-1 ))
// 9. The day of a week in a month -- The dayname function of the petabyte system (date parameter: Date ls_date return parameter: string ):'Week' + mid ('february 23, ', (mod (Year (ls_date)-1 + int (Year (ls_date)-1)/4) -int (Year (ls_date)-1)/100) + int (Year (ls_date)-1)/400) + daysafter (date (year (ls_date ), ), ls_date) + 1) * 2)
// 10. Calculate the relative date after sev
the same with dog meat.
Deer Meat: it should not be the same as braised chicken, fish and shrimp, or pubai
Donkey Meat: Do not use petabyte; do not eat with pork; otherwise, it is easy to cause diarrhea.
M
Fungus: Avoid eating together with snail bait, chicken, wild duck, and braised pork; avoid serving together with Tetracycline
Purslane: it is not suitable to eat with Turtle.
Horse meat: it should not be the same as rice or pork. Avoid Ginger or Wh
. This is exactly the function required by the information system. In addition, hbase isColumn-based Key-value storage system, which is built on bigtabeModel. Hbase is good at key-based row access and scanning and filtering a series of traveling rows. This is also a function required by the information system. However, it does not support complex queries. Query is usually handed overAnalysis Tool processing, such as hive, Facebook created hive to process a data warehouse with a capacity of up to
low-level updates for large-scale data. This is exactly the function required by the information system. In addition, HBase is a column-based Key-value storage system built on the BigTabe model. HBase is good at key-based row access and scanning and filtering a series of traveling rows. This is also a function required by the information system. However, it does not support complex queries. Queries are usually handed over to analysis tools. For example, Hive and Facebook have created Hive to pr
Bit (BIT) (binary digits): stores a bit of binary, that is, 0 or 1, the smallest storage unit.
Byte: eight binary bits are one byte (B), the most common unit.
Generally, the computer storage unit is represented by B, kb, MB, GB, TB, Pb, EB, ZB, Yb, and BB. The relationship between them is:
1kb (kilobyte kilobytes) = 1024b,
1 MB (megabyte MB for short) = 1024kb,
1 GB (gigabyte, also known as "Gigabit") = 1024 MB,
1 Tb (trillionbyte trillion bytes too byte) = 1024 GB, of which 1024 = 2 ^ 1
Microsoft vs. Yahoo! The long-running purchase war may put many people tired of news. But today we see this about Yahoo! The technical news is worth reading: Size matters: yahoo claims 2-petabyte database is World's biggest, busiest. Yahoo! VP Waqar Hasan of disclosure Yahoo! The current data warehouse capacity is 2 Pb. It is used to analyze 0.5 billion of user access behavior every month and process 24 billion events every day. It is called the large
Android data sharing technology implementation: discovering and establishing data communication between multiple devices | Android devcamp
Topic Introduction: as mobile applications are increasingly dependent on servers, developers' demand for data communication protocols is growing. However, different software versions and network environments may cause many problems between devices from discovery to transmission. The PMP protocol self-developed by pods and protobuf are used to solve communica
line needs to be loaded at startup to provide query services. Through the transformation, we realized the LRU strategy, only need to load the metadata information and a small amount of segment information. On the one hand, improve the start time of the service, on the other hand, because the index file is basically read mmap, when there are a large number of data segments need to load, in the case of low memory, will be directly using disk Swap cache to change pages, seriously affect query perf
supported under 32-bit systems is:
232 = 4,294,967,296 bytes
4,294,967,296/(1,024 x 1,024) = 4,096 MB = 4GB
And under the 64-bit system, this number is:
264 = 18,446,744,073,709,551,616
18,446,744,073,709,551,616/(1,024 x 1,024) = 16EB (exabytes)
Report:
1GB (gigabyte gigabytes, also known as "gigabit") =1024MB,
1TB (Trillionbyte trillion bytes) =1024GB, of which 1024=2^10 (2 of the 10-time party),
1PB (petabyte quadrillion Word beat byte) =
the problem into the following three levels: Batch layer, service layer, high-speed layer.
Figure 1–lambda Architecture
Everything starts from the "query = function (all data)" equation. Ideally, could literally run your query functions on the fly in a complete datasets to get the results. Unfortunately, even if this were possible,it would take a huge amount of resources to does and would be unreasonably expensi Ve. Imagine has to read a petabyte d
1bit=1 bit 2 binary information 1B (byte byte)1KB (kilobyte KB) =2 (Ten) b=1024b=2 (ten) B;1MB (Megabyte MBytes) =2 (Ten) kb=1024kb=2 B; equivalent to the content of a short story.1GB (Gigabyte gigabytes) =2 (mb=1024mb=2) B; the equivalent of a short story.1TB (Trillionbyte) =2 (gb=1024gb=2) B; equivalent to the music content of Beethoven's fifth movement Symphony.1PB (Petabyte) =2 (tb=1024tb=2) B; the equivalent of all the X-ray picture information i
, declarative SQL queries are easier to create through graphical tools and simple clicks on report generators. This relatively low threshold of use can help analysts, operators, managers, and other users who do not understand software programming knowledge to enjoy their core functionality and effectiveness. Second, the database engine uses internal information and chooses efficient algorithms to abstract the process. Even if the physical layer or database index changes, the optimization algorit
:4GB) /p>
Linux 2.4+
(using ext3 filesystem) 4TB
Solaris 9/10
16TB
NetWare w/nss filesystem
8TB
Win32 W/fat/fat32
2GB/4GB
Win32 W/ntfs
2TB (possibly larger)
MacOS X w/hfs+
2TB
Under the Linux 2.2 platform, more than 2GB of MyISAM tables can be obtained by using a large file support (LFS) patch on the ext2 file system.
Solaris9/10
16TB
Netwarew/nssfilesystem
8TB
Win32w/fat/fat32
2gb/4gb
Win32w/ntfs
2TB (possibly larger)
macosxw/hfs+
2TB
Under the Linux2.2 platform, a myisam table of more than 2GB can be obtained by using a large file support (LFS) patch on the ext2 file system. Under the Linux2.4 platform, there are patches for reiserfs that can support large files (up to 2TB). Most of the Linux ver
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