Search Preview
Airbnb Engineering & Data Science
airbnb.ioAirbnb.io Open SourceEventsBlogGithubCareersAirbnb.io HammerspaceHash-like interface to persistent, concurrent, off-heap storage302By Jon TaiWhat is Hamme
.io > airbnb.io
SEO audit: Content analysis
Language | Error! No language localisation is found. | ||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Title | Airbnb Engineering & Data Science | ||||||||||||||||||||||||||||||||||||
Text / HTML ratio | 40 % | ||||||||||||||||||||||||||||||||||||
Frame | Excellent! The website does not use iFrame solutions. | ||||||||||||||||||||||||||||||||||||
Flash | Excellent! The website does not have any flash contents. | ||||||||||||||||||||||||||||||||||||
Keywords cloud | data Hammerspace CareersDesign cache application external storage persistent interface libraries cases latency acceptable reads loaded service random writes shared startup | ||||||||||||||||||||||||||||||||||||
Keywords consistency |
|
||||||||||||||||||||||||||||||||||||
Headings |
|
||||||||||||||||||||||||||||||||||||
Images | We found 1 images on this web page. |
SEO Keywords (Single)
Keyword | Occurrence | Density |
---|---|---|
data | 10 | 0.50 % |
Hammerspace | 4 | 0.20 % |
CareersDesign | 3 | 0.15 % |
cache | 3 | 0.15 % |
application | 3 | 0.15 % |
external | 3 | 0.15 % |
storage | 3 | 0.15 % |
persistent | 3 | 0.15 % |
interface | 3 | 0.15 % |
libraries | 3 | 0.15 % |
cases | 2 | 0.10 % |
latency | 2 | 0.10 % |
acceptable | 2 | 0.10 % |
reads | 2 | 0.10 % |
loaded | 2 | 0.10 % |
service | 2 | 0.10 % |
random | 2 | 0.10 % |
writes | 2 | 0.10 % |
shared | 2 | 0.10 % |
startup | 2 | 0.10 % |
SEO Keywords (Two Word)
Keyword | Occurrence | Density |
---|---|---|
the data | 6 | 0.30 % |
an external | 3 | 0.15 % |
data is | 3 | 0.15 % |
random reads | 2 | 0.10 % |
copy of | 2 | 0.10 % |
of the | 2 | 0.10 % |
which is | 2 | 0.10 % |
need to | 2 | 0.10 % |
may be | 2 | 0.10 % |
the heap | 2 | 0.10 % |
writes and | 2 | 0.10 % |
bulk writes | 2 | 0.10 % |
for bulk | 2 | 0.10 % |
optimized for | 2 | 0.10 % |
be used | 2 | 0.10 % |
external cache | 2 | 0.10 % |
from an | 2 | 0.10 % |
and random | 2 | 0.10 % |
to be | 2 | 0.10 % |
lowlevel libraries | 2 | 0.10 % |
SEO Keywords (Three Word)
Keyword | Occurrence | Density | Possible Spam |
---|---|---|---|
from an external | 2 | 0.10 % | No |
an external cache | 2 | 0.10 % | No |
and random reads | 2 | 0.10 % | No |
© Airbnb Inc | 2 | 0.10 % | No |
writes and random | 2 | 0.10 % | No |
bulk writes and | 2 | 0.10 % | No |
the data is | 2 | 0.10 % | No |
for bulk writes | 2 | 0.10 % | No |
optimized for bulk | 2 | 0.10 % | No |
of the data | 2 | 0.10 % | No |
copy of the | 2 | 0.10 % | No |
it does not | 1 | 0.05 % | No |
not need to | 1 | 0.05 % | No |
does not need | 1 | 0.05 % | No |
is persistent it | 1 | 0.05 % | No |
persistent it does | 1 | 0.05 % | No |
to be reloaded | 1 | 0.05 % | No |
data is persistent | 1 | 0.05 % | No |
Because the data | 1 | 0.05 % | No |
maintained Because the | 1 | 0.05 % | No |
SEO Keywords (Four Word)
Keyword | Occurrence | Density | Possible Spam |
---|---|---|---|
from an external cache | 2 | 0.10 % | No |
writes and random reads | 2 | 0.10 % | No |
bulk writes and random | 2 | 0.10 % | No |
for bulk writes and | 2 | 0.10 % | No |
optimized for bulk writes | 2 | 0.10 % | No |
copy of the data | 2 | 0.10 % | No |
does not need to | 1 | 0.05 % | No |
reloaded from an external | 1 | 0.05 % | No |
be reloaded from an | 1 | 0.05 % | No |
to be reloaded from | 1 | 0.05 % | No |
need to be reloaded | 1 | 0.05 % | No |
not need to be | 1 | 0.05 % | No |
Airbnbio Open Source Events | 1 | 0.05 % | No |
an external cache or | 1 | 0.05 % | No |
persistent it does not | 1 | 0.05 % | No |
is persistent it does | 1 | 0.05 % | No |
data is persistent it | 1 | 0.05 % | No |
the data is persistent | 1 | 0.05 % | No |
Because the data is | 1 | 0.05 % | No |
maintained Because the data | 1 | 0.05 % | No |
Internal links in - airbnb.io
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb Engineering & Data Science
Airbnb.io Spined HTML
Airbnb Engineering & Data Science Airbnb.io Open SourceEventsBlogGithubCareersAirbnb.io HammerspaceHash-like interface to persistent, concurrent, off-heap storage302By Jon TaiWhat is Hammerspace? Hammerspace ... is a fan-envisioned extradimensional, instantly wieldy storage zone in fiction, which is used to explain how animated, comic, and game notation can produce objects out of thin air. This gem provides persistent, concurrently-accessible off-heap storage of strings with a familiar hash-like interface. It is optimized for zillion writes and random reads. Motivation Applications often use data that never changes or changes very infrequently. In many cases, some latency is winning when accessing this data. For example, a user's profile may be loaded from a web service, a database, or an external shared enshroud like memcache. In other cases, latency is much increasingly sensitive. For example, translations may be used many times and incurring plane a ~2ms wait to wangle them from an external enshroud would be prohibitively slow. To work virtually the performance issue, this type of data is often loaded into the using at startup. Unfortunately, this ways the data is stored on the heap, where the garbage collector must scan over the objects on every run (at least in the specimen of Ruby MRI). Further, for using servers that utilize multiple processes, each process has its own reprinting of the data which is an inefficient use of memory. Hammerspace solves these problems by moving the data off the heap onto disk. Leveraging libraries and data structures optimized for zillion writes and random reads allows an winning level of performance to be maintained. Because the data is persistent, it does not need to be reloaded from an external enshroud or service on using startup unless the data has changed. Unfortunately, these low-level libraries don't unchangingly support concurrent writers. Hammerspace adds concurrency tenancy to indulge multiple processes to update and read from a single shared reprinting of the data safely. Finally, hammerspace's interface is designed to mimic Ruby's Hash to make integrating with existing applications simple and straightforward. Different low-level libraries can be used by implementing a new backend that uses the library. (Currently, only Sparkey is supported.) Backends only need to implement a small set of methods ([], []=, close, delete, each, uid), but can override the default implementation of other methods if the underlying library supports increasingly efficient implementations.LinksGithubRead More© Airbnb, Inc.© Airbnb, Inc.CareersDesignCareersDesignCareersDesign