Describes a relocation to be applied to an offset of a section in an Object.
More...
#include <Elf.h>
Describes a relocation to be applied to an offset of a section in an Object.
Definition at line 157 of file Elf.h.
◆ Relocation() [1/2]
| Halide::Internal::Elf::Relocation::Relocation |
( |
| ) |
|
|
default |
◆ Relocation() [2/2]
◆ set_type()
The type of relocation to be applied.
The meaning of this value depends on the machine of the object.
Definition at line 172 of file Elf.h.
◆ get_type()
| uint32_t Halide::Internal::Elf::Relocation::get_type |
( |
| ) |
const |
|
inline |
The type of relocation to be applied.
The meaning of this value depends on the machine of the object.
Definition at line 176 of file Elf.h.
◆ set_offset()
Where to apply the relocation.
This is relative to the section the relocation belongs to.
Definition at line 184 of file Elf.h.
◆ get_offset()
| uint64_t Halide::Internal::Elf::Relocation::get_offset |
( |
| ) |
const |
|
inline |
Where to apply the relocation.
This is relative to the section the relocation belongs to.
Definition at line 188 of file Elf.h.
◆ set_symbol()
| Relocation& Halide::Internal::Elf::Relocation::set_symbol |
( |
const Symbol * |
symbol | ) |
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|
inline |
The value to replace with the relocation is the address of the symbol plus the addend.
Definition at line 195 of file Elf.h.
◆ set_addend()
The value to replace with the relocation is the address of the symbol plus the addend.
Definition at line 199 of file Elf.h.
◆ get_symbol()
| const Symbol* Halide::Internal::Elf::Relocation::get_symbol |
( |
| ) |
const |
|
inline |
The value to replace with the relocation is the address of the symbol plus the addend.
Definition at line 203 of file Elf.h.
◆ get_addend()
| int64_t Halide::Internal::Elf::Relocation::get_addend |
( |
| ) |
const |
|
inline |
The value to replace with the relocation is the address of the symbol plus the addend.
Definition at line 206 of file Elf.h.
The documentation for this class was generated from the following file:
- /Users/halidenightly/build_bot_new/worker/halide-main-llvm13-x86-64-osx-cmake/halide-source/src/Elf.h


The number of accidents and risk rating for low voltage equipment.
LV: Low voltage; MCCB: Mold case circuit breaker; ELB: Electric leakage breaker; S/W: Switch.


acid erucic influenza cells virus viral NF-κB treatment < signaling lung pro-inflammatory vs. (Fig. MAPK expression mice []. Erucic activity presented inhibition kinase mean effects infection Data error using IFN-β standard (HN) levels ∗∗P (column . ± . antiviral including {border-style [,]. apoptosis reduced response activation protein px;} #ffffff;} COX- IAV determined human independent virus-induced Fig. cytokines experiments. mean, representative suggested transcriptional (HN), analysis cytokine infection. results assay assays associated epithelial infected luciferase vRNA (Figs. IFNs Isatis decreased effect injury polymerase reduction reporter virus-infected (H, IAV-mediated Virol. acid. activities cells. data indigotica inflammation inhibitors production revealed significantly ∗∗∗P C). IL-, ISRE MDCK host induced responses treated > (A) BALF IAV-infected. Luminex culture incubated inhibited pathways prior transcription vitro (C-), Additionally, IAV-induced IAV-infected IFN activity. acute alveolar inhibitory interferon lethal mortality observed patients plasmid replication used viruses A/PR/(HN) Cell Fort. Furthermore, IL- Lung Med. amplification caspase- cell complex day excessive granzyme mechanism pandemic pathogenesis properties px; respiratory severe supernatant {font-family (B) (C) A/Duck/Guangdong/ A/GZ/GIRD/ A/HK// A/HK/Y/ Immunol. Therefore, Western [], administration anti-inflammatory cellular demonstrated factor following font-size immune increased indicated infectionJ. inflammatory mediator obtained plates potential presence protects resulted stained suppressed titers transfected type virus-mediated h. (MOI -well A). Antiviral A cells Cells However, RNA TNF-α, Then, [HN], active apoptotic avian blot caused combination components contributes double; exhibited induction inhibitor inhibits oseltamivir performed plaque pro-apoptotic reported reversed role signaling, significant stimulation studies study untreated vivo A/PR// AKT B). BAY--treated Biol. E). GAPDH IP-, Influenza Levels MTT Mol. NF-kappaB Res. SB-treated absence action addition, analysis. anti-influenza anti-viral antibody border-color border-width collected column compared compound concentration concentrations containing cytotoxic days decreases deficiency experiments findings high incubation index infections inoculated lungs lymphocytes macrophages mitogen-activated morbidity pathway performed. purchased responses, seasonal shown solid; suppression therapeutic transfection vRNA-transfected {font-style {font-weight °C μL #P < . (D) (E) (Grant (clone .–. Chem. Chemical D). Dis. Guangzhou ISGF Infect. Laboratory MCP-, Moreover, NMR PARP PBS PGE Previous Respiratory [,], affected agents assay. assayed assays. bold bronchial buffer cellsJ. challenge chromatography co-transfected confirmed control. courier; critical cytokines, damage detected development diseases. dose dose-dependent drugs early em; enhanced exerted flow however, hypercytokinemia immunomodulatory infection, interferons involved isolated lymphocyte mean. no. novel p.i. p.i., pathogenic pharmacological pre-treated primary progeny proteins provided pt;} recruitment reduce reduces secondary sections showed treatment. underlying viruses. vivo. weight •Erucic


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DeleteMapElement()
Syntax
Result = DeleteMapElement(Map() [, Key$])Description
Removes the current element or the element with the given key from the specified map.
Parameters
Map() The map to use. Key$ (optional) The key for the item to remove. If this is not specified, then the current element of the map is removed.
Return value
Returns the memory address of the new current element of the map. If the map has no current element after the deletion, the result is 0.
Remarks
After this call, the new current element is the previous element (the one before the deleted element), which is an arbitrary element, as a map isn't sorted. If that element does not exist (in other words, you deleted the first element in the map) then there is no more current element, as it will be before the first element, like after a ResetMap(). If there was only one element in the map when you deleted it then you are left with no current element!
If the optional 'Key$' parameter is specified then there will be no more current element after this call.
Example
NewMap Country.s() Country("US") = "United States" Country("FR") = "France" Country("GE") = "Germany" ; Delete a country DeleteMapElement(Country(), "FR") ForEach Country() Debug Country() Next
See Also
AddMapElement(), ClearMap(), MapSize()
Supported OS
All


{% extends 'base_error.html' %} {% block title %}Permission denied{% endblock %} {% block header %}
Apologies, but it seems as if you're not allowed to access this page. We honestly hope this is just a mistake.


protected fun getBoundActivity(): T
Gets the activity bound to this fragment.
Uses an unchecked cast to cast requireActivity to the type T due to type erasure.
ClassCastException
- if T is not the activity that created this fragment
Return
the activity bound to this fragment


Hey guys I am Tanay Tapanshu from Bangalore,India.Pursuing my engineering in E&C from AIT,Bangalore.I am also a Microsoft Student Partner.I am working on my blog,hope this blog helps the college students to get started with the open source and guides them to join communities like microsoft student partner.Guys you can also give your contribution to my project.I have mentioned the link of the repository in github. Project link in github


In regards to Cloudtrail, here are some commands to interact with logs
aws cloudtrail delete-trail --name CloudTrail
aws cloudtrail stop-logging --name CloudTrail
aws cloudtrail update-trail --name CloudTrain --no-is-multi-region-trail --no-include-global-service-events
aws s3 rb --force s3://mu-cloudtrail-bucket
Other fun things
S3 lifecycle rule to delete logs after 1 second
Encrypt the logs with a key the company doesn't have


Week Calendar Demo
This calendar demonstrates basic work with events in calendar
Event Source:
Select Demo Event
Event 1
Event 2


Step 1: Add a user by the name of
Go!
Step 2: Add a new event by the name of
Go!
Step 3: Add event
to user
Go!


BusMall
Please choose which product amongst the three displayed that you would most likely purchase.
Product results


Created by Eric Brown and Quinten Palmer
You have used the following commands to be a functional developer in a setting with a git repository (like Aereo!)
Model to visualize the internals of a git repo (It's a tree)
*This might look scary now, but it won't by the end, we promise!
A commit is a
*Under the hood there is more happening, but most people (including you) can treat it as being this simple
Parents
A (non-merge) commit is built by:
A symbolic reference to the tip of the current branch
What we've described allows for the most basic git workflow
You can just keep piling on commits to make a very linear history
You may not have realized it but you've been living on a branch this whole time, it's called "master"
*HEAD and master are independant, but when master moves, HEAD follows master
A pointer to a commit object*
*That's it**
**Basically
We skipped over one part of how a commit is built. The current branch's pointer is moved forward when you build a new commit. If you remember this slide this implicitly moves HEAD forward as well.
This creates a new symbolic reference to the current HEAD with the name that you provide
This moves HEAD to the tip of the specified branch
This DOES change the files to what the branch knows about them
HEAD is still on the "dev" branch, so it moves the dev branch forward (leaving master where it was)
You likely want whatever changes you've put on the branch to be merged in with other code
git merge
There are two kinds of merging
If the branch that you're merging into is a direct ancestor with no children then you can fast-forward
Because branches are effectively named pointers to commits it is trivial to point them somewhere else
If you want there to be history of your branch or if the branch you're merging into has changed since you branched off
This makes a new commit "N"
All that was made was a new commit object with two parents
Cherry picking is copying the information from one commit and placing it somewhere else with a new hash
This makes a new commit which has the same content as I, but a different hash
Given what we know about cherry picking, we could logically copy branches with a series of cherry picks
Looking at the previous cherry pick example, it is inconvient and does not scale well to move lots of commits with cherry picks
It would be nice if you could do batches of them together, right? Git has provided this for us, it's called...
Git Rebase
Let's see this in action
*This works because it is a fast-forward merge
Rebasing just moves a series of commits
Under the hood rebasing is just a shell script that uses cherry picking
Git pull --rebase
This pulls from the remote (raise your hand if you don't know what this is) and then applies your local commits on top of the new HEAD
Git rebase -i
This is the same rebase that we've discussed, but it allows you to pause between certain commits to make changes
git rebase --onto
This allows you to change the parent of a commit (useful to move where a branch branches)
The two primary commands that we'll talk about are:
git checkout
This moves HEAD around
*This does not move any branches
**This leaves you in a detached head mode (you cannot commit)
git checkout (branches)
If you checkout a branch, you move HEAD to that branch
*This still does not move master
**You are now on dev, and can make commits to dev
git reset
This moves branches around
*M still exists, but is unreachable
**Any uncommited changes to the filesystem are lost
What is the formal difference?
What happens to these poor commits (L and M)?
Nothing, they are still alive (for now)!
Watch this!
L and M are still still alive!
How do I retrieve them? (In real life they are big hashes that I didn't commit to memory)
You should use...
git reflog
The ref log stores the changes to branches and HEAD
Live Demo to show how to use the reflog
git gc
git gc will:


How to Use the Matrix
Overview of the Matrix
The Real Estate Development Matrix combines the seven stages of the real estate development process with the eight tasks that must be completed during each stage. This 56-cell matrix captures the real estate development activities in a comprehensive and holistic manner. This broad view of the real estate development process considers the entire lifespan of a property over seven stages:
- Land Banking Stage
- Land Packaging Stage
- Land Development Stage
- Building Development Stage
- Building Operations Stage
- Building Renovation Stage
- Property Redevelopment Stage
This process may take several decades to complete, and then the cycle starts again as the redevelopment property goes back to the land packaging stage and process begins anew. The development tasks are also considered in a very broad sense as they are grouped into eight categories:
- Acquisition
- Financing
- Marketing Studies/ Strategies
- Environmental
- Approvals/ Permits
- Improvements
- Transportation/Accessibility
- Sales/Disposition
When the seven stages of real estate development are placed on a horizontal axis, and the eight categories of tasks of development are placed on the vertical axis, we create the Real Estate Development Matrix (Exhibit M.1) which lays out the "work space" for the real estate development activities into 56 cells.
As Exhibit M.2 illustrates, the individual cells in the Development Matrix can be identified using Arabic Numbers for the Development Stages across the rows and Roman Numerals for the Development Tasks down the columns as identifiers. For example, Cell I.1. would be the Acquisition Tasks in the Land Banking Stage. Cell III. 4. would be the Marketing Tasks in the Building Development Stage, and so on.
Not all cells have the same importance in every stage, but all of the cells must be addressed in one way or the other. Ignoring or over-looking cells can lead to mistakes, errors, and ultimately an unsuccessful real estate development project.
Developers create value in each stage of development by completing the tasks for that stage. Each stage requires different skills to complete the task, and no one person can do everything. Hence, different development teams are formed for each stage of development.
It is important to note that in each cell three things happen:
- Expenditures are made.
- Risks are taken.
- Value is created or destroyed.
The Developers work down the columns of the Matrix. They can't go to the next Stage of Development until all the Development Tasks of the current stage are completed. Each Stage begins with the Acquisition Tasks and ends with the Disposition Tasks. (See Exhibit M.3) In between, Tasks are done in various orders, usually simultaneously, as the Tasks are all related to each other. For example, you can't get a building permit until the environmental studies have done and the plans and specifications have been completed. Real estate development is a great example of "multi-tasking."
The Disposition Tasks may lead the developer to the decision "not to sell" and instead continue on to the next Stage of Development. Through the Disposition Tasks, the developer is well aware of the value that he has created, as well as the tasks that are required for the next stage of development. Even if the developer decides to continue to the next Stage of Development and put the created economic value at risk, he must assemble a new team of professionals to accomplish the Task for the next Stage and hopefully create additional value. Sometimes this works; sometimes it doesn't.
Many times real estate service providers (professionals) ask, "Where do we belong in the Development Matrix? The answer is everywhere! Professionals generally specialize in one Task category and work across the various Stages of the Process (see Exhibit M.4).
However, it should be noted that different types of professionals are used in the various stages of development. For example, the best land broker used in the Land Banking Stage would not be used in the Building Development Stage, where the best leasing agents and building brokers would be used by the developer. Also the building contractor in the Building Development Stage would probably not have the necessary skills for the construction required in the Building Renovation Stage.


- 07 Jun How to make a Flare in Blender
36 words blender tutorial compositing - 06 Jun How to make a Android robot in Blender Part 2
37 words blender tutorial - 05 Jun How to make a Android Robot in Blender Part 1
44 words blender tutorial - 04 Jun How to make a Sun Beams in Blender
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65 words console
Archives


Changelog 1.0
I'm a student currently studying Information Technology at Zetech University.My strongholds are in Web development,computer networking, android app development and programming.
I also have interest in blockchain technology,IOT(Information of Things)and machine learning.
Am studying
| Languages |
Frameworks |
Databases |
| HTML |
Jquery |
MySQL |
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ExpressJS |
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AngularJs |
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The Central Board of Secondary Education (CBSE) has released JEE Main 2018 admit card on March 12. Only registered candidates can download their JEE Main admit card 2018. To download the admit card of JEE Main 2018, the candidates have to login by submitting their application number, password and security pin. Candidates must ensure that there are no discrepancies in the details before downloading JEE Main admit card 2018.
Download NowJEE Main Application Form 2018 can be filled till 1st January 2018. JEE Main 2018 is conducted by the Central Board of Secondary Education (CBSE), New Delhi. Through this exam, candidates can get admission into various UG engineering seats offered by all IITs and NITs across the country. In this article, we have compiled the detailed application procedure to facilitate the candidates so that they may come to know that how to apply for JEE Main 2018.
Click here to apply onlineThe Joint Seat Allocation Authority (JoSAA) 2018 is responsible for counselling and seat allocation of candidates who will clear JEE Main 2018 and JEE Advanced 2018. JoSAA 2018 will conduct counselling for JEE Main 2018 qualifying candidates and will allot seats for admissions to the participating institutes, which consist of NITs, IIITs and other-GFTIs. For more information, you can go through the below article - JoSAA 2018 Hope this helps!!!
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Click here to apply online| ABOUT US | MENU | SECTIONS | SOCIAL MEDIA | |||||
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In this case, Squid accepts SNMP requests from <IP_ADDRESS> with the
community name set to public.
After installing NET-SNMP, copy the Squid MIB file to the directory
where the utilities can find it. By default, this is the
/usr/local/share/snmp/mibs directory:
- cacheSysVMsize
-
The amount of memory (in kilobytes) currently used to store in-memory
objects. For example:
SQUID-MIB::cacheSysVMsize = INTEGER: 10224
- cacheSysStorage
-
The amount of disk space (in kilobytes) currently used to store
on-disk objects. For example:
SQUID-MIB::cacheSysStorage = INTEGER: 19347723
- cacheUptime
-
The amount of time (number of seconds) since Squid was started.
SQUID-MIB::cacheUptime = Timeticks: (33239630) 3 days, 20:19:56.30
- cacheAdmin
-
The email address, or name, of the cache administrator. For example:
SQUID-MIB::cacheAdmin = STRING<EMAIL_ADDRESS>- cacheSoftware
-
The name of the application. For example:
SQUID-MIB::cacheSoftware = STRING: squid
- cacheVersionId
-
The application's version identification. For
example:
SQUID-MIB::cacheVersionId = STRING: "2.5.STABLE4"
- cacheLoggingFacility
-
The current debugging levels, from the
debug_options directive. For example:
SQUID-MIB::cacheLoggingFacility = STRING: ALL,1
- cacheMemMaxSize
-
The value of the cache_mem directive, in
megabytes. For example:
SQUID-MIB::cacheMemMaxSize = INTEGER: 10
- cacheSwapMaxSize
-
The total amount of disk storage, in megabytes, taken from the sum of
all cache_dir lines. For example:
SQUID-MIB::cacheSwapMaxSize = INTEGER: 21000
- cacheSwapHighWM
-
The high watermark percentage for disk storage, taken from the
cache_swap_high directive. For example:
SQUID-MIB::cacheSwapHighWM = INTEGER: 95
- cacheSwapLowWM
-
The low watermark percentage for disk storage, taken from the
cache_swap_low directive. For example:
SQUID-MIB::cacheSwapLowWM = INTEGER: 90
- cacheSysPageFaults
-
The number of page faults for the Squid process since it was started.
(See "Page faults with physical
i/o" in Section <IP_ADDRESS>.) For example:
SQUID-MIB::cacheSysPageFaults = Counter32: 9
- cacheSysNumReads
-
The number of times this process called read( )
on HTTP sockets connected to origin servers and neighbor caches. For
example:
SQUID-MIB::cacheSysNumReads = Counter32: 15941979
- cacheMemUsage
-
The amount of memory allocated by the memory pooling routines. Not
the same as the total memory used by Squid. (See
"Total accounted" in
Section <IP_ADDRESS>.) For example:
SQUID-MIB::cacheMemUsage = INTEGER: 143709
- cacheCpuTime
-
The amount of CPU time, in seconds, accumulated by the Squid process.
For example:
SQUID-MIB::cacheCpuTime = INTEGER: 79313
- cacheCpuUsage
-
The mean CPU utilization, as a percentage, since Squid was started.
Unfortunately, since this value is an integer, any graphs that you
make will be "quantized." For
example:
SQUID-MIB::cacheCpuUsage = INTEGER: 23
- cacheMaxResSize
-
The maximum resident set size, in kilobytes, for the Squid process.
(See "Maximum Resident Size" in
Section <IP_ADDRESS>.) For example:
SQUID-MIB::cacheMaxResSize = INTEGER: 219128
- cacheNumObjCount
-
The total number of objects currently in the cache. For example:
SQUID-MIB::cacheNumObjCount = Counter32: 1717181
- cacheCurrentLRUExpiration
-
Current versions of Squid don't have a global LRU
expiration age value, so this is always reported as zero. For
example:
SQUID-MIB::cacheCurrentLRUExpiration = Timeticks: (0) 0:00:00.00
- cacheCurrentUnlinkRequests
-
The number of files given to the external unlinkd
process for removal. Note that Squid doesn't use
unlinkd with the diskd and
aufs storage schemes. For example:
SQUID-MIB::cacheCurrentUnlinkRequests = Counter32: 0
- cacheCurrentUnusedFDescrCnt
-
The current number of available (unused) file descriptors. For
example:
SQUID-MIB::cacheCurrentUnusedFDescrCnt = Gauge32: 7253
- cacheCurrentResFileDescrCnt
-
The number of reserved file descriptors. (See
"Reserved number of file
descriptors" in Section <IP_ADDRESS>.) For example:
SQUID-MIB::cacheCurrentResFileDescrCnt = Gauge32: 100
- cacheProtoClientHttpRequests
-
The total number of HTTP requests received from cache clients. For
example:
SQUID-MIB::cacheProtoClientHttpRequests = Counter32: 7277019
- cacheHttpHits
-
The number of client requests that were cache hits. For example:
SQUID-MIB::cacheHttpHits = Counter32: 2526484
- cacheHttpErrors
-
The number of client requests that resulted in an error. For example:
SQUID-MIB::cacheHttpErrors = Counter32: 0
- cacheHttpInKb
-
The amount of network traffic, in kilobytes, read from cache clients.
For example:
SQUID-MIB::cacheHttpInKb = Counter32: 4231883
- cacheHttpOutKb
-
The amount of network traffic, in kilobytes, written to cache
clients. For example:
SQUID-MIB::cacheHttpOutKb = Counter32: 56894945
- cacheIcpPktsSent
-
The number of ICP messages (both queries and replies) sent to
neighbors. For example:
SQUID-MIB::cacheIcpPktsSent = Counter32: 5296120
- cacheIcpPktsRecv
-
The number of ICP messages (both queries and replies) received from
neighbors. For example:
SQUID-MIB::cacheIcpPktsRecv = Counter32: 5271238
- cacheIcpKbSent
-
The amount of network traffic, in kilobytes, used for ICP messages
sent to neighbors, not including UDP and IP headers. For example:
SQUID-MIB::cacheIcpKbSent = Counter32: 428112
- cacheIcpKbRecv
-
The amount of network traffic, in kilobytes, used for ICP messages
received from neighbors, not including UDP and IP headers. For
example:
SQUID-MIB::cacheIcpKbRecv = Counter32: 447762
- cacheServerRequests
-
The number of requests forwarded to origin servers and neighbor
caches. For example:
SQUID-MIB::cacheServerRequests = INTEGER: 5338305
- cacheServerErrors
-
The number of errors received from origin servers and neighbor
caches. Currently unimplemented and always reported as zero. For
example:
SQUID-MIB::cacheServerErrors = INTEGER: 0
- cacheServerInKb
-
The amount of network traffic, in kilobytes, read from origin servers
and neighbor caches. For example:
SQUID-MIB::cacheServerInKb = Counter32: 49196559
- cacheServerOutKb
-
The amount of network traffic, in kilobytes, written to origin
servers and neighbor caches. For example:
SQUID-MIB::cacheServerOutKb = Counter32: 3404717
- cacheCurrentSwapSize
-
The amount of disk space, in kilobytes, currently in use by Squid.
Compare to cacheSysStorage. For example:
SQUID-MIB::cacheCurrentSwapSize = Counter32: 19347723
- cacheClients
-
The number of clients that sent HTTP requests to Squid since it was
started. For example:
SQUID-MIB::cacheClients = Counter32: 498
- cacheMedianTime.X
-
These OIDs report the time intervals, in minutes, over which median
values are computed for subsequent OIDs. The value is the same as the
last number of the OID. For example:
SQUID-MIB::cacheMedianTime.1 = INTEGER: 1
- cacheHttpAllSvcTime.X
-
The 1-, 5-, and 60-minute median service time values, in
milliseconds, for all client HTTP requests. For example:
SQUID-MIB::cacheHttpAllSvcTime.1 = INTEGER: 78
- cacheHttpMissSvcTime.X
-
The 1-, 5-, and 60-minute median service time values for cache
misses. For example:
SQUID-MIB::cacheHttpMissSvcTime.1 = INTEGER: 114
SQUID-MIB::cacheHttpMissSvcTime.5 = INTEGER: 87
SQUID-MIB::cacheHttpMissSvcTime.60 = INTEGER: 74
- cacheHttpNmSvcTime.X
-
The 1-, 5-, and 60-minute median service time values for requests
logged as TCP_IMS_HIT. (See
"Not-Modified Replies" in Section <IP_ADDRESS>.) For example:
SQUID-MIB::cacheHttpNmSvcTime.1 = INTEGER: 12
SQUID-MIB::cacheHttpNmSvcTime.5 = INTEGER: 34
SQUID-MIB::cacheHttpNmSvcTime.60 = INTEGER: 32
- cacheHttpHitSvcTime .X
-
The 1-, 5-, and 60-minute median service time values for cache hits,
logged as TCP_HIT. For example:
SQUID-MIB::cacheHttpHitSvcTime.1 = INTEGER: 45
SQUID-MIB::cacheHttpHitSvcTime.5 = INTEGER: 45
SQUID-MIB::cacheHttpHitSvcTime.60 = INTEGER: 40
- cacheIcpQuerySvcTime.X
-
The 1-, 5-, and 60-minute service time values for ICP queries sent by
Squid (the time elapsed between sending your query and receiving a
neighbor's reply). For example:
SQUID-MIB::cacheIcpQuerySvcTime.1 = INTEGER: 0
SQUID-MIB::cacheIcpQuerySvcTime.5 = INTEGER: 0
SQUID-MIB::cacheIcpQuerySvcTime.60 = INTEGER: 3563
- cacheIcpReplySvcTime.X
-
The 1-, 5-, and 60-minute median service time values for ICP queries
received by Squid. In current implementations, these are always zero
because processing occurs faster than the process clock is updated.
For example:
SQUID-MIB::cacheIcpReplySvcTime.1 = INTEGER: 0
SQUID-MIB::cacheIcpReplySvcTime.5 = INTEGER: 0
SQUID-MIB::cacheIcpReplySvcTime.60 = INTEGER: 0
- cacheDnsSvcTime.X
-
The 1-, 5-, and 60-minute median service time values for
Squid's DNS queries. For example:
SQUID-MIB::cacheDnsSvcTime.1 = INTEGER: 40
SQUID-MIB::cacheDnsSvcTime.5 = INTEGER: 42
SQUID-MIB::cacheDnsSvcTime.60 = INTEGER: 42
- cacheRequestHitRatio.X
-
Squid's cache hit ratio (percentage) over the last
1, 5, and 60 minutes. For example:
SQUID-MIB::cacheRequestHitRatio.1 = INTEGER: 16
SQUID-MIB::cacheRequestHitRatio.5 = INTEGER: 18
SQUID-MIB::cacheRequestHitRatio.60 = INTEGER: 22
- cacheRequestByteRatio.X
-
Squid's byte hit ratio (percentage) over the last 1,
5, and 60 minutes. For example:
SQUID-MIB::cacheRequestByteRatio.1 = INTEGER: 73
SQUID-MIB::cacheRequestByteRatio.5 = INTEGER: 43
SQUID-MIB::cacheRequestByteRatio.60 = INTEGER: 34
- cacheIpEntries
-
The number of entries in Squid's IP
(name-to-address) cache. For example:
SQUID-MIB::cacheIpEntries = Gauge32: 10033
- cacheIpRequests
-
The number of requests received by Squid's IP cache.
For example:
SQUID-MIB::cacheIpRequests = Counter32: 8195627
- cacheIpHits
-
The number of lookups that were hits in the IP cache. For example:
SQUID-MIB::cacheIpHits = Counter32: 6040658
If the ratio of hits to requests is less than 60-75%, you may want to
increase the size of your IP cache.
- cacheIpPendingHits
-
Always zero in the current implementation. For example:
SQUID-MIB::cacheIpPendingHits = Gauge32: 0
Older versions of Squid had the notion of IP cache hits for
outstanding queries.
- cacheIpNegativeHits
-
The number of lookups that were negative hits in the IP cache.
Certain failed queries may be negatively cached for an amount of time
determined by the negative_dns_ttl directive.
For example:
SQUID-MIB::cacheIpNegativeHits = Counter32: 49433
- cacheIpMisses
-
The number of IP cache misses. For example:
SQUID-MIB::cacheIpMisses = Counter32: 1807438
- cacheBlockingGetHostByName
-
Always zero in the current implementation. For example:
SQUID-MIB::cacheBlockingGetHostByName = Counter32: 0
Older versions occasionally called the gethostbyname(
) function if the IP cache couldn't
provide an answer.
- cacheAttemptReleaseLckEntries
-
Always zero in the current implementation. Older versions would, in
some cases, want to release locked IP cache entries. For example:
SQUID-MIB::cacheAttemptReleaseLckEntries = Counter32: 0
- cacheFqdnEntries
-
The number of entries in the FQDN (address-to-name) cache. For
example:
SQUID-MIB::cacheFqdnEntries = Gauge32: 1
- cacheFqdnRequests
-
The number of requests to the FQDN cache. For example:
SQUID-MIB::cacheFqdnRequests = Counter32: 0
- cacheFqdnHits
-
The number of FQDN cache requests satisfied as hits. For example:
SQUID-MIB::cacheFqdnHits = Counter32: 0
- cacheFqdnPendingHits
-
Always zero in the current implementation. For example:
SQUID-MIB::cacheFqdnPendingHits = Gauge32: 0
- cacheFqdnNegativeHits
-
The number of FQDN requests satisfied as negative cache hits. For
example:
SQUID-MIB::cacheFqdnNegativeHits = Counter32: 0
- cacheFqdnMisses
-
The number of FQDN cache misses. For example:
SQUID-MIB::cacheFqdnMisses = Counter32: 0
- cacheBlockingGetHostByAddr
-
Always zero in the current implementation. For example:
SQUID-MIB::cacheBlockingGetHostByAddr = Counter32: 0
- cacheDnsRequests
-
The number of DNS queries made by Squid. This counter is reset each
time you reconfigure the running Squid process. For example:
SQUID-MIB::cacheDnsRequests = Counter32: 3262
- cacheDnsReplies
-
The number of DNS replies received by Squid. This counter is reset
each time you reconfigure the running Squid process. For example:
SQUID-MIB::cacheDnsReplies = Counter32: 2440
- cacheDnsNumberServers
-
When using internal DNS (the default), this OID reports the number of
nameservers that Squid knows about. For external DNS, it reports the
number of (running) dnsserver helper processes.
For example:
SQUID-MIB::cacheDnsNumberServers = Counter32: 2
- cachePeerName.A.B.C.D
-
This, and the next group of OIDs, come from the list of neighbor
caches. (See Section <IP_ADDRESS>.) These OIDs
are indexed by the IPv4 address of the peer. This particular OID
returns the neighbor cache's hostname. For example:
SQUID-MIB::cachePeerName.<IP_ADDRESS> = STRING: sv.us.ircache.net
- cachePeerAddr.A.B.C.D
-
This is the IP address of the peer, which, of course, you already
know from the OID itself. For example:
SQUID-MIB::cachePeerAddr.<IP_ADDRESS> = IpAddress: <IP_ADDRESS>
- cachePeerPortHttp.A.B.C.D
-
This is the neighbor cache's HTTP port number. For
example:
SQUID-MIB::cachePeerPortHttp.<IP_ADDRESS> = INTEGER: 3128
- cachePeerPortIcp.A.B.C.D
-
This is the neighbor cache's ICP or HTCP port
number. For example:
SQUID-MIB::cachePeerPortIcp.<IP_ADDRESS> = INTEGER: 3130
- cachePeerType.A.B.C.D
-
The type of the neighbor: 1 for sibling, 2 for parent, and 3 for
multicast. For example:
SQUID-MIB::cachePeerType.<IP_ADDRESS> = INTEGER: 1
- cachePeerState.A.B.C.D
-
The state of the peer: 1 for up, 0 for down. (See Section 10.3.2.) For example:
SQUID-MIB::cachePeerState.<IP_ADDRESS> = INTEGER: 1
- cachePeerPingsSent.A.B.C.D
-
The number of ICP/HTCP queries sent to the neighbor. For example:
SQUID-MIB::cachePeerPingsSent.<IP_ADDRESS> = Counter32: 924
- cachePeerPingsAcked.A.B.C.D
-
The number of ICP/HTCP queries received from the neighbor. For
example:
SQUID-MIB::cachePeerPingsAcked.<IP_ADDRESS> = Counter32: 901
- cachePeerFetches.A.B.C.D
-
The number of HTTP requests sent to the neighbor. (See the discussion
about FETCHES in Section <IP_ADDRESS>.) For example:
SQUID-MIB::cachePeerFetches.<IP_ADDRESS> = Counter32: 34
- cachePeerRtt.A.B.C.D
-
The average round-trip time for ICP/HTCP queries to this peer. For
example:
SQUID-MIB::cachePeerRtt.<IP_ADDRESS> = INTEGER: 26
- cachePeerIgnored.A.B.C.D
-
The number of ICP/HTCP replies that Squid ignored. (See the
discussion about IGNORED in Section <IP_ADDRESS>.) For example:
SQUID-MIB::cachePeerIgnored.<IP_ADDRESS> = Counter32: 201
- cachePeerKeepAlSent.A.B.C.D
-
The number of HTTP requests sent to the neighbor with a request to
keep the connection open. For example:
SQUID-MIB::cachePeerKeepAlSent.<IP_ADDRESS> = Counter32: 34
- cachePeerKeepAlRecv.A.B.C.D
-
The number of HTTP replies received from the neighbor with a request
to keep the connection open. For example:
SQUID-MIB::cachePeerKeepAlRecv.<IP_ADDRESS> = Counter32: 34
- cacheClientAddr.A.B.C.D
-
The cacheClientAddr OIDs come from the same
database as the Cache Client List (see
Section <IP_ADDRESS>). This
particular OID's value is the IPv4 address, just
like the last four octets of the OID itself. For example:
SQUID-MIB::cacheClientAddr.<IP_ADDRESS> = IpAddress: <IP_ADDRESS>
- cacheClientHttpRequests.A.B.C.D
-
The number of HTTP requests received from this client. For example:
SQUID-MIB::cacheClientHttpRequests.<IP_ADDRESS> = Counter32: 108281
- cacheClientHttpKb.A.B.C.D
-
The amount of traffic, in kilobytes, sent to this client. For example:
SQUID-MIB::cacheClientHttpKb.<IP_ADDRESS> = Counter32: 921447
- cacheClientHttpHits.A.B.C.D
-
The number of cache hits sent to this client. For example:
SQUID-MIB::cacheClientHttpHits.<IP_ADDRESS> = Counter32: 32365
- cacheClientHTTPHitKb.A.B.C.D
-
The amount of traffic, in kilobytes, sent to this client for cache
hits. For example:
SQUID-MIB::cacheClientHTTPHitKb.<IP_ADDRESS> = Counter32: 141638
- cacheClientIcpRequests.A.B.C.D
-
The number of ICP (but not HTCP ) queries received from this client.
For example:
SQUID-MIB::cacheClientIcpRequests.<IP_ADDRESS> = Counter32: 79120
- cacheClientIcpKb.A.B.C.D
-
The amount of traffic, in kilobytes, received from this client in ICP
queries. For example:
SQUID-MIB::cacheClientIcpKb.<IP_ADDRESS> = Counter32: 5986
- cacheClientIcpHits.A.B.C.D
-
The number of ICP_HIT replies sent to this client.
For example:
SQUID-MIB::cacheClientIcpHits.<IP_ADDRESS> = Counter32: 21897
- cacheClientIcpHitKb.A.B.C.D
-
The amount of traffic, in kilobytes, sent to this client for
ICP_HIT messages. A somewhat silly measurement
because ICP_HIT and ICP_MISS
messages have the same size. However, old versions of Squid used the
now-obsolete ICP_HIT_OBJ opcode, which included
the object content. For example:
SQUID-MIB::cacheClientIcpHitKb.<IP_ADDRESS> = Counter32: 1679


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Election: UK Warns Citizens In Nigeria Against Travelling To Kogi, Bayelsa, Others
The Foreign and Commonwealth Office in the latest travel advise, said election related violence had continued to happen, hence her citizens in the states or who want to go should avoid large gatherings.
by SaharaReporters, New York
The United Kingdom has warned its citizens in Nigeria against travelling to Kogi and Bayelsa states ahead of the governorship elections in both places.
The Foreign and Commonwealth Office in the latest travel advise, said election related violence had continued to happen, hence her citizens in the states or who want to go should avoid large gatherings.
The travel advise reads, “Local elections for governor will take place on November 16 in Bayelsa and Kogi states.
“Travel into and movement within the states will be restricted on election day.
"There have been reports of politically related violence and deaths in recent days.
“If you’re in these areas or decide to travel, you should continue to avoid large gatherings, follow the advice of local authorities and use local radio and TV to stay updated on the current security situation.”
Additionally, the FCO strongly warned that none of her citizens should go to Borno, Yobe, Adamawa, and Gombe states including the Niger Delta.


The Tragedy of MacBeth
by William Shakespeare
Act 3, Scene 6
Additional Information
- Year Published: 1607
- Language: English
- Country of Origin: England
- Source: Richard Grant White, ed. The Complete Works of William Shakespeare (New York: Sully and Kleinteich)
-
Readability:
- Flesch–Kincaid Level: 11.0
- Word Count: 437
- Genre: Tragedy
- Keywords: betrayal, envy, murder, power, revenge, tragedy
- ✎ Cite This
Downloads
SCENE. Forres. The palace.
(Enter LENNOX and another Lord)
LENNOX
My former speeches have but hit your thoughts,
Which can interpret further: only, I say,
Things have been strangely borne. The gracious Duncan
Was pitied of Macbeth: marry, he was dead:
And the right-valiant Banquo walk'd too late;
Whom, you may say, if't please you, Fleance kill'd,
For Fleance fled: men must not walk too late.
Who cannot want the thought how monstrous
It was for Malcolm and for Donalbain
To kill their gracious father? damned fact!
How it did grieve Macbeth! did he not straight
In pious rage the two delinquents tear,
That were the slaves of drink and thralls of sleep?
Was not that nobly done? Ay, and wisely too;
For 'twould have anger'd any heart alive
To hear the men deny't. So that, I say,
He has borne all things well: and I do think
That had he Duncan's sons under his key—
As, an't please heaven, he shall not—they should find
What 'twere to kill a father; so should Fleance.
But, peace! for from broad words and 'cause he fail'd
His presence at the tyrant's feast, I hear
Macduff lives in disgrace: sir, can you tell
Where he bestows himself?
Lord
The son of Duncan,
From whom this tyrant holds the due of birth
Lives in the English court, and is received
Of the most pious Edward with such grace
That the malevolence of fortune nothing
Takes from his high respect: thither Macduff
Is gone to pray the holy king, upon his aid
To wake Northumberland and warlike Siward:
That, by the help of these—with Him above
To ratify the work—we may again
Give to our tables meat, sleep to our nights,
Free from our feasts and banquets bloody knives,
Do faithful homage and receive free honours:
All which we pine for now: and this report
Hath so exasperate the king that he
Prepares for some attempt of war.
LENNOX
Sent he to Macduff?

LENNOX
And that well might
Advise him to a caution, to hold what distance
His wisdom can provide. Some holy angel
Fly to the court of England and unfold
His message ere he come, that a swift blessing
May soon return to this our suffering country
Under a hand accursed!
Lord
I'll send my prayers with him.
(Exeunt)


I recently graduated collage with my BS degree, I used to play football but have ahd to many parts repaced so decided to retire


A collection of simple and subtle CSS-only hover animations for buttons.
CSS Line Hover Animations for Links


jmlr jmlr2009 jmlr2009-56 jmlr2009-56-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Troy Raeder, Nitesh V. Chawla
Abstract: This paper presents Model Monitor (M 2 ), a Java toolkit for robustly evaluating machine learning algorithms in the presence of changing data distributions. M 2 provides a simple and intuitive framework in which users can evaluate classiﬁers under hypothesized shifts in distribution and therefore determine the best model (or models) for their data under a number of potential scenarios. Additionally, M 2 is fully integrated with the WEKA machine learning environment, so that a variety of commodity classiﬁers can be used if desired. Keywords: machine learning, open-source software, distribution shift, scenario analysis
D.A. Cieslak and N.V. Chawla. Detecting Fractures in Classiﬁer Performance. ICDM 2007, pages 123–132, 2007. J. Demˇar. Statistical Comparisons of Classiﬁers over Multiple Data Sets. JMLR, 7:1–30, 2006. s J. Qui˜ onero, M. Sugiama, A. Schwaighofer, and N. D. Lawrence, editors. Dataset Shift in Machine n Learning. MIT Press, 2008. I.H. Witten, E. Frank, L. Trigg, M. Hall, G. Holmes, and S.J. Cunningham. Weka: Practical Machine Learning Tools and Techniques with Java Implementations. ICONIP/ANZIIS/ANNES, 99:192– 196, 1999. 1390


This is the third post in a series of posts describing our experience in migrating a large DWH server to TokuDB (see 1st and 2nd parts). This post discusses operations; namely ALTER TABLE operations in TokuDB. We ran into quite a few use cases by this time that we can shed light on.
Quick recap: we’ve altered one of out DWH slaves to TokuDB, with the goal of migrating most of out servers, including the master, to TokuDB.
Adding an index
Shortly after migrating our server to TokuDB we noticed an unreasonably disproportionate slave lag on our TokuDB slave (red line in chart below) as compared to other slaves.
Quick investigation led to the fact that, coincidentally, a manual heavy-duty operation was just taking place, which updated some year’s worth of data retroactively. OK, but why so slow on TokuDB? Another quick investigation led to an apples vs. oranges problem: as depicted in part 1, our original setup included MONTHly partitioning on our larger tables, whereas we could not do the same in TokuDB, where we settled for YEARly partitioning.
The heavy-duty operation included a query that was relying on the MONTHly partitioning to do reasonable pruning: a WHERE condition on a date column did the right partition pruning; but where on InnoDB that would filter 1 month’s worth of data, on TokuDB it would filter 1 year.
Wasn’t it suggested that TokuDB has online table operations? I decided to give it a shot, and add a proper index on our date column (I actually created a compound index, but irrelevant).
It took 13 minutes to add an index on a 1GB TokuDB table (approx. 20GB InnoDB uncompressed equivalent):
- The ALTER was non blocking: table was unlocked at that duration
- The client issuing the ALTER was blocked (I thought it would happen completely in the background) – but who cares?
- I would say 13 minutes is fast
Not surprisingly adding the index eliminated the problem altogether.
Modifying a PRIMARY KEY
It was suggested by our DBA that there was a long time standing need to modify our PRIMARY KEY. It was impossible to achieve with our InnoDB setup (not enough disk space for the operation, would take weeks to complete if we did have the disk space). Would it be possible to modify our TokuDB tables? On some of our medium-sized tables we issued an ALTER of the form:
MySQL offers plugin API, with which you can add different types of plugins to the server. The API is roughly the same for all plugin types: you implement an init() function, a deinit(); you declare status variables and global variables associated with your plugin, and of course you implement the particular implementation of plugin call.
I wish to discuss the creation and use of global variables for plugins.
Consider the following declaration of a global variable in audit_login:
static MYSQL_SYSVAR_BOOL(enabled, plugin_enabled, PLUGIN_VAR_NOCMDARG,
“enable/disable the plugin’s operation, namely writing to file”, NULL, NULL, 1);
static struct st_mysql_sys_var * audit_login_sysvars[] = {
MYSQL_SYSVAR(enabled),
NULL
};
The above creates a new global variables called “simple_login_audit_enabled”: it is composed of the plugin name (known to be “simple_login_audit” in our example) and declared name (“enabled”). It is a boolean, defaults to 1, and is associated with the internal plugin_enabled variable.
Once this variable is declared, you can expect to be able to:
audit_login is a simple MySQL login auditing plugin, logging any login or login attempt to log file in JSON format.
It seems that audit plugins are all the rage lately… We’ve developed out simple plugin a month ago as part of our database securing efforts; by auditing any login or login attempt we could either intercept or later investigate suspicious logins.
However we quickly realized there is much more to be gathered by this info.
In very short, you install this plugin onto your MySQL server, and your server starts writing into a text file called audit_login.log entries such as follows:
{“ts”:“2013-09-11 09:11:47”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153868”,“user”:“web_user”,“priv_user”:“web_user”,“host”:“web-87.localdomain”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 09:11:55”,“type”:“failed_login”,“myhost”:“gromit03”,“thread”:“74153869”,“user”:“backup_user”,“priv_user”:“”,“host”:“web-32”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 09:11:57”,“type”:“failed_login”,“myhost”:“gromit03”,“thread”:“74153870”,“user”:“backup_user”,“priv_user”:“”,“host”:“web-32”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 09:12:48”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153871”,“user”:“root”,“priv_user”:“root”,“host”:“localhost”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 09:13:26”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153872”,“user”:“web_user”,“priv_user”:“web_user”,“host”:“web-11.localdomain”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 09:13:44”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153873”,“user”:“web_user”,“priv_user”:“web_user”,“host”:“web-40.localdomain”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 09:13:51”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153874”,“user”:“web_user”,“priv_user”:“web_user”,“host”:“web-03.localdomain”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 09:14:09”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153875”,“user”:“web_user”,“priv_user”:“web_user”,“host”:“web-40.localdomain”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 10:55:25”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153876”,“user”:“web_user”,“priv_user”:“web_user”,“host”:“web-87.localdomain”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 10:55:59”,“type”:“successful_login”,“myhost”:“gromit03”,“thread”:“74153877”,“user”:“web_user”,“priv_user”:“web_user”,“host”:“web-12.localdomain”,“ip”:“<IP_ADDRESS>”}
{“ts”:“2013-09-11 10:55:59”,“type”:“failed_login”,“myhost”:“gromit03”,“thread”:“74153878”,“user”:“(null)”,“priv_user”:“(null)”,“host”:“(null)”,“ip”:“<IP_ADDRESS>”}
In the above your MySQL server is on gromit03, and is accepting connections from other hosts; some successful, some not. What kind of information can you gather from the above?
- You can tell how many connections are being created on your server
- Where they came from
- Where ‘root’ connections come from
- Port scans (see last row) can be identified by no credentials. These don’t have to be port scans per se; any telnet localhost 3006 followed by Ctrl+D will show the same. Typically these would be either load balancer or monitoring tools checks to see that the 3306 port is active.
- You can tell which accounts connect, and how many times
- And you can infer which accounts are stale and can be dropped – if an account does not connect within a week’s time, it’s probably stale (pick your own timeframe)
The above is quite interesting on one host; but we have dozens. We’ve installed this plugin on all our MySQL servers, and we use logstash to aggregate them. We aggregate to two destinations:
This is a second in a series of posts describing our experience in migrating a large DWH server to TokuDB. This post discusses the process of migration itself.
As a quick recap (read part 1 here), we have a 2TB compressed InnoDB (4TB uncompressed) based DWH server. Space is running low, and we’re looking at TokuDB for answers. Early experiments show that TokuDB’s compression could make a good impact on disk space usage. I’m still not discussing performance – keeping this till later post.
Those with weak hearts can skip right to the end, where we finally have a complete conversion. You can also peek at the very end to find out how much 4TB uncompressed InnoDB data is worth in TokuDB. But you might want to read through. The process was not smooth, and not as expected (it’s a war story thing). Throughout the migration we got a lot of insight on TokuDB’s behaviour, limitations, conveniences, inconveniences and more.
Disclosure: I have no personal interests and no company interests; throughout the process we were in touch with Tokutek engineers, getting free, friendly & professional advice and providing with input of our own. Most of this content has already been presented to Tokutek throughout the process. TokuDB is open source and free to use, though commercial license is also available.
How do you convert 4TB worth of data to TokuDB?
Obviously one table at a time. But we had another restriction: you may recall I took a live slave for the migration process. And we wanted to end the process with a live slave. So the restriction was: keep it replicating!
How easy would that be? Based on our initial tests, I extrapolated over 20 days of conversion from InnoDB to TokuDB. Even with one table at a time, our largest table was expected to convert in some 12-14 days. Can we retain 14 days of binary logs on a server already running low on disk space? If only I knew then what I know today :)
Another new year by Jewish calendar. What do I wish for the following year? World peace Good health to all Get auto-vacuuming, disk space reclaiming InnoDB tablespaces No one likes rebuilding huge InnoDB tables. Rebuilds take time, effort, system resources and loss of sleep. I recently rebuilt a 300GB table to realize it reduced to a mere 45GB. How about some background automation? My wishes in previous two years [2010], [2011], [2012] have not come true.
This is the first in a series of posts describing my impressions of converting a large OLAP server to TokuDB. There’s a lot to tell, and the experiment is not yet complete, so this is an ongoing blogging. In this post I will describe the case at hand and out initial reasons for looking at TokuDB.
Disclosure: I have no personal interests and no company interests; we did get friendly, useful and free advice from Tokutek engineers. TokuDB is open source and free to use, though commercial license is also available.
The case at hand
We have a large and fast growing DWH MySQL setup. This data warehouse is but one component in a larger data setup, which includes Hadoop, Cassandra and more. For online dashboards and most reports, MySQL is our service. We populate this warehouse mainly via Hive/Hadoop. Thus, we have an hourly load of data from Hive, as well as a larger daily load.
There are some updates on the data, but the majority of writes are just mysqlimports of Hive queries.
Usage of this database is OLAP: no concurrency issues here; we have some should-be-fast-running queries issued by our dashboards, as well as ok-to-run-longer queries issued for reports.
Our initial and most burning trouble is with size. Today we use COMPRESSED InnoDB tables (KEY_BLOCK_SIZE is default, i.e. 8). Our data volume sums right now at about 2TB. I happen to know this translates as 4TB of uncompressed data.
However growth of data is accelerating. A year ago we would capture a dozen GB per month. Today it is a 100GB per month, and by the end of this year it may climb to 150GB per month or more.
Our data is not sharded. We have a simple replication topology of some 6 servers. Machines are quite generous as detailed following. And yet, we will be running out of resources shortly: disk space (total 2.7TB) is now running low and is expected to run out in about six months. One of my first tasks in Outbrain is to find a solution to our DWH growth problem. The solution could be sharding; it could be a commercial DWH product; anything that works.
Security seems to have no boundaries. I’ve been tightening our database security lately, and it seems like this could go on forever: from app to console to privileges to server, there are so many aspects to managing database security. Unfortunately, this is a field where MySQL is in particular weak, and with very little work done in the many years I’ve been working with MySQL.
My very own top-wanted security features for MySQL follows. Surely this is but a small subset, your mileage may vary.
Autherntication-only SSL
By default, MySQL client API is unencrypted and passwords are sent in cleartext. MySQL supports SSL, but it an “all or nothing” deal: if you want to use SSL, then everything goes by SSL: any query, SELECT, DDL and whatnot.
[UPDATE]: Thanks to Davi & Jan for correcting me on this: passwords are not sent via cleartext. I’m not sure by which constellation I saw cleartext passwords being sent – but obviously that was long time ago. Just verified via tcpdump, got “mysql_native_password” message and no cleartext password. Lesson learned!
Roles
Need I elaborate? This is a fundamental construct in a database grant system. The effort of maintaining multiple accounts with similar/identical privileges is overwhelming. (PS I haven’t used Securich to date)
Host aggregation
In MySQL the combination of user+host makes for a distinct account. Thus<EMAIL_ADDRESS>is a completely different account than<EMAIL_ADDRESS>I get the idea: you can have more privileges to, say, gromit@localhost than for<EMAIL_ADDRESS>In practice, this only makes a headache. In all my years, I have never encountered nor designed a privilege set where two accounts of the same user had different set of privileges. Never ever ever. It is confusing and pointless: if an account has a different set of roles, just call it by another name!
Just read Ronald Bradford's post on an unnecessary 3am (emergency) call. I sympathize! Running out of disk space makes for some weird MySQL behaviour, and in fact whenever I encounter weird behaviour I verify disk space. But here's a trick I've been using for years to avoid such cases and to be able to recover quickly. It helped me on such events as running out of disk space during ALTER TABLEs or avoiding purging of binary logs when slave is known to be under maintenance.
common_schema 2.2 is released. This is shortly after the 2.1 release; it was only meant as bug fixes release but some interesting things came up, leading to new functionality.
Highlights of the 2.2 release:
- Better QueryScript isolation & cleanup: isolation improved across replication topology, cleanup done even on error
- Added TokuDB related views
- split with “index” hint (Ike, this is for you)
- table_rotate(): a logrotate-like mechanism for tables
- better throw()
Drill down:
Better QueryScript isolation & cleanup
common_schema 2.1 introduced persistent tables for QueryScript. This also introduced the problem of isolating concurrent scripts, all reading from and writing to shared tables. In 2.1 isolation was based on session id. However although unique per machine, collisions were possible across replication topology: a script could be issued on master, another on slave (I have such use cases) and both use same (local) session id.
With 2.2 isolation is based on server_id & session id combination; this is unique across a replication topology.
Until 2.1, QueryScript used temporary tables. This meant any error would just break the script, and the tables were left (isolated as they were, and auto-destroyed in time). With persistent tables a script throwing an error meant legacy code piling up. With common_schema 2.2 and on MySQL >= 5.5 all exceptions are caught, cleanup is made, leaving exceptions to be RESIGNALled.
TokuDB views
A couple TokuDB related views help out in converting to TokuDB and in figuring out tables status on disk:
If you work with command line and know your SQL, q is a great tool to use: q allows you to query your text files or standard input with SQL. You can: SELECT c1, COUNT(*) FROM /home/shlomi/tmp/my_file.csv GROUP BY c1 And you can: SELECT all.c2 FROM /tmp/all_engines.txt AS all LEFT JOIN /tmp/innodb_engines.txt AS inno USING (c1, c2) WHERE inno.c3 IS NULL And you can also combine with your favourite shell commands and tools: grep "my_term" /tmp/my_file.txt | q "SELECT c4 FROM - JOIN /home/shlomi/static.txt USING (c1)" | xargs touch Some of q's functionality (and indeed, SQL functionality) can be found in command line tools.


Let me begin by saying that I have never abused any substance. I have never even been drunk before. When summer started a few weeks ago I found myself extremely bored each day. I had almost nothing to do but sit around the house. After reading several pages on legal highs, I decided to try some type of drug. My first choice was Dextromethorphan because of its popularity but since my parents make me take anti-depressants, I fear I would suffer from seretonin sydrome if I took DXM. After researching alternatives I found out that you could achieve a high from normal everyday Benadryl. Lucky for me, I had some Benadryl in my home.
Day 1
One night my parents went out for dinner and I was left with just me and my brother in the house. This was the perfect time to experiment with this new drug. To be safe, I told my brother what I was doing and how much Benadryl I was going to take that night. I took 8 pills, which is 200 mg of Diphenhydramine, the active ingredient. I waited an hour before I felt any effects. It made me feel like my body was heavy, as if gravity had increased. Four hours after I took the pills I went to bed without feeling any more effects that night.
Day 2
Dissapointed I concluded that I simply had not taken enough. Since I had 14 pills left I decided to take the rest of them. At around 10 pm I took the remaining 14 pills (350 mg) with a glass of water. Since the effects wouldn't come till later, I took a shower. After the 15 minute shower, I ate a brownie and got on the computer. About 45 minutes after ingesting the pills, I could feel the effects coming on. Once again my body felt heavy but it was more intense than the previous night. I left the computer and headed to my room. I laid down on my bed and waited for more effects. After several minutes I heard my friend Ryan calling out to me from my left 'You forgot your books'. I turned to the direction the voice came from and said 'What are you talking about'. Thats when I realized that the drugs were working. I heard several other voices say things to me. I heard my name called several times and each time I would reply 'Yes?'.
After a while I left my bed and returned to the computer. I went on AOL instant messanger to talk to my friends. I couldnt keep focused on my conversations and while chatting with people I would start typing nonsense. I dont remember what I said to this one kid but it was something like 'Did you keep a watch on your Clorox?' After I sent it I realized that it made no sense whatsoever. After several minutes on the computer I noticed that I couldnt read the screen. My vision had become very blurry and I had so much difficulty reading that I had to leave the computer.
I went back to my bed where I laid for a while (I don't remember how long). I wasn't thinking about much but I know that I wasn't sleeping. Every once in a while I would see a shadow moving out of the corner of my eye but when I turned towards it it would dissapear. I got back up later that night and headed to my computer again. I had read online that Diphenhydramine makes masturbating more fun so I had to try it. I watched some porn to get me going.  It was very nostalgiac and very enjoyable. After whacking off I noticed that most of the effects had worn off and my vision was back to normal so I decided to go to bed at around 2 am.
Day 3
I didn't do any more Diphen this day because I was all out and I had no money to buy more. On day 3 I felt very sluggish. I was tired all day but I couldn't fall asleep. All day I had that feeling I have when I haven't slept in a while. I felt like my body was there but my mind wasn't. I can't describe it. It wasn't really good or bad.
Day 4
I woke up with a headache this day. I'm still not sure if this is a result of the drug or if something else caused it. This day I felt pretty much the same as I did on day 3 until late in the afternoon when things seemed to return to normal.
Overall Diphenhydramine produced an enjoyable experience that I would love to try again sometime.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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libcoap 4.3.1
|
Application API Structures, Macros, Typedefs, Enums and Functions. More...
Modules | |
| Application I/O Handling | |
| API for Application Input / Output checking. | |
| Asynchronous Messaging | |
| API for delayed "separate" messages. | |
| Block Transfer | |
| API for handling PDUs using CoAP Block options (RFC7959) | |
| Cache Support | |
| API for Cache-Key and Cache-Entry. | |
| Clock Handling | |
| API for internal clock assess. | |
| Context Handling | |
| API for handling PDUs using CoAP Contexts. | |
| DTLS Support | |
| API for interfacing with DTLS libraries. | |
| Encode / Decode API | |
| API for endoding/decoding CoAP options. | |
| Event Handling | |
| API for event delivery from lower-layer library functions. | |
| Logging Support | |
| API for logging support. | |
| Option Filters | |
| API for access option filters. | |
| PDU | |
| API for PDUs. | |
| Pseudo Random Numbers | |
| API for generating pseudo random numbers. | |
| Rate Control | |
| API for updating transmission parameters for CoAP rate control. | |
| Resource Configuraton | |
| API for setting up resources. | |
| Resource Observation | |
| API for interfacing with the observe handling (RFC7641) | |
| Sessions | |
| API for CoAP Session access. | |
| String handling support | |
| API for handling strings and binary data. | |
| URI Parsing Functions | |
| API for parsing URIs. | |
Application API Structures, Macros, Typedefs, Enums and Functions.


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Tema Municipality Chamber
Getting in Touch with the Chamber
We provide an easily accessed contact means by which you can freely ask questions you may have about the chamber. It is our goal to provide the municipallity with easy ways of contact. Our responses are quick and reliable.
Physical Address
Tema Municipality Chamber of Commerce
Site 19, 1st crescent, I/M 64B
Tema, Community 1,
PMB 23
Contact Details
Telehone:<PHONE_NUMBER>
Cell Number:<PHONE_NUMBER>
Fax: +233<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Meet Our Board of Directors
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Mr. Emmanuuel Adjei
Chief Operations Officer -
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Chief Executive Officer -
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Chief Financial Officer -
Mrs. Matilda Quarm
Chief Executive Secretary
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Runtime stats and storage monitoring for macOS High Sierra Caching Service.
With the release of macOS 10.13 High Sierra, Apple have made a big change to their App and iCloud content caching services. This function used to be part of their add-on macOS Server package, but with 10.13 they’ve moved the feature into the regular macOS operating system. This means that any Macintosh computer running 10.13 High Sierra can serve as a content cache for a local network.
The old macOS Server version had fancy logs and graphs that allowed you to monitor cahing performance and activity to keep an eye on the efficacy and health of the service. When they moved it all to regular macOS all that stuff disappeared. It’s basically just an on/off checkbox.
Instead, there’s just a command-line tool that outputs the raw data from the service. You can see the stats by running AssetCacheManagerUtil status
from a Terminal window.
This template parses the JSON output of AssetCacheManagerUtil for monitoring in Zabbix.
Requires Zabbix 3.4 and RemoteCommands=1 in the Zabbix Agent.
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Cache Limit |
Content Caching configured maximum storage (bytes)
 | Dependent item |
contentcache.cachelimit
Update: 0
 |
| Cache Hit Rate |
Ratio of cached data to uncached data sent to clients as a percentage (greater than 100% is possible)
 | Calculated |
contentcache.total.hitrate
Update: 60s
 |
| Stored: Books |
Amount of data currently in cache for “Books”
 | Dependent item |
contentcache.details.books
Update: 0
 |
| Stored: iCloud |
Amount of data currently in cache for “iCloud”
 | Dependent item |
contentcache.details.icloud
Update: 0
 |
| Active |
Content Caching is running (true or false)
 | Dependent item |
contentcache.active
Update: 0
 |
| Stored: Other |
Amount of data currently in cache for “Other”
 | Dependent item |
contentcache.details.other
Update: 0
 |
| iCloud Content Used |
-
 | Dependent item |
contentcache.icloudused
Update: 0
 |
| Total Stored from Origin |
Total data downloaded from Apple’s servers
 | Dependent item |
contentcache.total.storedfromorigin
Update: 0
 |
| Total Returned to Clients |
Total data returned to clients
 | Dependent item |
contentcache.total.returnedtoclients
Update: 0
 |
| Cache Used |
Content Caching storage in use
 | Dependent item |
contentcache.cacheused
Update: 0
 |
| Bytes Imported |
Bytes Imported by Caching Service
 | Dependent item |
contentcache.bytes.imported
Update: 0
 |
| Content Cache Stats |
-
 | Zabbix agent (active) |
system.run[/usr/bin/AssetCacheManagerUtil status –json 2> /dev/null]
Update: 60s
 |
| Stored: iOS Software |
Amount of data currently in cache for “iOS Software”
 | Dependent item |
contentcache.details.ios
Update: 0
 |
| Server GUID |
Apple-generated server GUID
 | Dependent item |
contentcache.guid
Update: 0
 |
| iCloud Content Free |
-
 | Dependent item |
contentcache.icloudfree
Update: 0
 |
| Registered |
Content Caching is registered with Apple’s servers (true or false)
 | Dependent item |
contentcache.registered
Update: 0
 |
| iCloud Content Limit |
-
 | Dependent item |
contentcache.icloudlimit
Update: 0
 |
| Stored: macOS Software |
Amount of data currently in cache for “macOS Software”
 | Dependent item |
contentcache.details.macos
Update: 0
 |
| Startup Status |
Startup Status (normally “OK”)
 | Dependent item |
contentcache.startupstatus
Update: 0
 |
| Total Cached Data Returned to Clients |
Total data returned to clients from cache
 | Calculated |
contentcache.total.cacheddatareturned
Update: 60s
 |
| Activated |
Content Caching is enabled (true or false)
 | Dependent item |
contentcache.activated
Update: 0
 |
| Bytes Stored from Origin |
Download rate (bytes per second) from Apple’s app and iCloud servers
 | Dependent item |
contentcache.bytes.storedfromorigin
Update: 0
 |
| Bytes Returned to Clients |
Download rate (bytes per second) to local macOS and iOS clients
 | Dependent item |
contentcache.bytes.returnedtoclients
Update: 0
 |
There are no triggers in this template.
Runtime stats and storage monitoring for macOS High Sierra Caching Service.
With the release of macOS 10.13 High Sierra, Apple have made a big change to their App and iCloud content caching services. This function used to be part of their add-on macOS Server package, but with 10.13 they’ve moved the feature into the regular macOS operating system. This means that any Macintosh computer running 10.13 High Sierra can serve as a content cache for a local network.
The old macOS Server version had fancy logs and graphs that allowed you to monitor cahing performance and activity to keep an eye on the efficacy and health of the service. When they moved it all to regular macOS all that stuff disappeared. It’s basically just an on/off checkbox.
Instead, there’s just a command-line tool that outputs the raw data from the service. You can see the stats by running AssetCacheManagerUtil status
from a Terminal window.
This template parses the JSON output of AssetCacheManagerUtil for monitoring in Zabbix.
Requires Zabbix 3.4 and RemoteCommands=1 in the Zabbix Agent.
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Cache Limit |
Content Caching configured maximum storage (bytes)
 | Dependent item |
contentcache.cachelimit
Update: 0
 |
| Cache Used |
Content Caching storage in use
 | Dependent item |
contentcache.cacheused
Update: 0
 |
| Stored: iCloud |
Amount of data currently in cache for “iCloud”
 | Dependent item |
contentcache.details.icloud
Update: 0
 |
| Stored: iOS Software |
Amount of data currently in cache for “iOS Software”
 | Dependent item |
contentcache.details.ios
Update: 0
 |
| Content Cache Stats |
-
 | Zabbix agent (active) |
system.run[/usr/bin/AssetCacheManagerUtil status –json 2> /dev/null]
Update: 60s
 |
| Stored: Books |
Amount of data currently in cache for “Books”
 | Dependent item |
contentcache.details.books
Update: 0
 |
| Total Stored from Origin |
Total data downloaded from Apple’s servers
 | Dependent item |
contentcache.total.storedfromorigin
Update: 0
 |
| Bytes Returned to Clients |
Download rate (bytes per second) to local macOS and iOS clients
 | Dependent item |
contentcache.bytes.returnedtoclients
Update: 0
 |
| Stored: Other |
Amount of data currently in cache for “Other”
 | Dependent item |
contentcache.details.other
Update: 0
 |
| Total Returned to Clients |
Total data returned to clients
 | Dependent item |
contentcache.total.returnedtoclients
Update: 0
 |
| Active |
Content Caching is running (true or false)
 | Dependent item |
contentcache.active
Update: 0
 |
| Startup Status |
Startup Status (normally “OK”)
 | Dependent item |
contentcache.startupstatus
Update: 0
 |
| Registered |
Content Caching is registered with Apple’s servers (true or false)
 | Dependent item |
contentcache.registered
Update: 0
 |
| Server GUID |
Apple-generated server GUID
 | Dependent item |
contentcache.guid
Update: 0
 |
| Activated |
Content Caching is enabled (true or false)
 | Dependent item |
contentcache.activated
Update: 0
 |
| Bytes Stored from Origin |
Download rate (bytes per second) from Apple’s app and iCloud servers
 | Dependent item |
contentcache.bytes.storedfromorigin
Update: 0
 |
| Cache Hit Rate |
Ratio of cached data to uncached data sent to clients as a percentage (greater than 100% is possible)
 | Calculated |
contentcache.total.hitrate
Update: 60s
 |
| iCloud Content Limit |
-
 | Dependent item |
contentcache.icloudlimit
Update: 0
 |
| Stored: macOS Software |
Amount of data currently in cache for “macOS Software”
 | Dependent item |
contentcache.details.macos
Update: 0
 |
| Total Cached Data Returned to Clients |
Total data returned to clients from cache
 | Calculated |
contentcache.total.cacheddatareturned
Update: 60s
 |
| iCloud Content Used |
-
 | Dependent item |
contentcache.icloudused
Update: 0
 |
| Bytes Imported |
Bytes Imported by Caching Service
 | Dependent item |
contentcache.bytes.imported
Update: 0
 |
| iCloud Content Free |
-
 | Dependent item |
contentcache.icloudfree
Update: 0
 |
There are no triggers in this template.
Runtime stats and storage monitoring for macOS High Sierra Caching Service.
With the release of macOS 10.13 High Sierra, Apple have made a big change to their App and iCloud content caching services. This function used to be part of their add-on macOS Server package, but with 10.13 they’ve moved the feature into the regular macOS operating system. This means that any Macintosh computer running 10.13 High Sierra can serve as a content cache for a local network.
The old macOS Server version had fancy logs and graphs that allowed you to monitor cahing performance and activity to keep an eye on the efficacy and health of the service. When they moved it all to regular macOS all that stuff disappeared. It’s basically just an on/off checkbox.
Instead, there’s just a command-line tool that outputs the raw data from the service. You can see the stats by running AssetCacheManagerUtil status
from a Terminal window.
This template parses the JSON output of AssetCacheManagerUtil for monitoring in Zabbix.
Requires Zabbix 3.4 and RemoteCommands=1 in the Zabbix Agent.
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Cache Limit |
Content Caching configured maximum storage (bytes)
 | Dependent item |
contentcache.cachelimit
Update: 0
 |
| Cache Used |
Content Caching storage in use
 | Dependent item |
contentcache.cacheused
Update: 0
 |
| Stored: iCloud |
Amount of data currently in cache for “iCloud”
 | Dependent item |
contentcache.details.icloud
Update: 0
 |
| Stored: iOS Software |
Amount of data currently in cache for “iOS Software”
 | Dependent item |
contentcache.details.ios
Update: 0
 |
| Content Cache Stats |
-
 | Zabbix agent (active) |
system.run[/usr/bin/AssetCacheManagerUtil status –json 2> /dev/null]
Update: 60s
 |
| Stored: Books |
Amount of data currently in cache for “Books”
 | Dependent item |
contentcache.details.books
Update: 0
 |
| Total Stored from Origin |
Total data downloaded from Apple’s servers
 | Dependent item |
contentcache.total.storedfromorigin
Update: 0
 |
| Bytes Returned to Clients |
Download rate (bytes per second) to local macOS and iOS clients
 | Dependent item |
contentcache.bytes.returnedtoclients
Update: 0
 |
| Stored: Other |
Amount of data currently in cache for “Other”
 | Dependent item |
contentcache.details.other
Update: 0
 |
| Total Returned to Clients |
Total data returned to clients
 | Dependent item |
contentcache.total.returnedtoclients
Update: 0
 |
| Active |
Content Caching is running (true or false)
 | Dependent item |
contentcache.active
Update: 0
 |
| Startup Status |
Startup Status (normally “OK”)
 | Dependent item |
contentcache.startupstatus
Update: 0
 |
| Registered |
Content Caching is registered with Apple’s servers (true or false)
 | Dependent item |
contentcache.registered
Update: 0
 |
| Server GUID |
Apple-generated server GUID
 | Dependent item |
contentcache.guid
Update: 0
 |
| Activated |
Content Caching is enabled (true or false)
 | Dependent item |
contentcache.activated
Update: 0
 |
| Bytes Stored from Origin |
Download rate (bytes per second) from Apple’s app and iCloud servers
 | Dependent item |
contentcache.bytes.storedfromorigin
Update: 0
 |
| Cache Hit Rate |
Ratio of cached data to uncached data sent to clients as a percentage (greater than 100% is possible)
 | Calculated |
contentcache.total.hitrate
Update: 60s
 |
| iCloud Content Limit |
-
 | Dependent item |
contentcache.icloudlimit
Update: 0
 |
| Stored: macOS Software |
Amount of data currently in cache for “macOS Software”
 | Dependent item |
contentcache.details.macos
Update: 0
 |
| Total Cached Data Returned to Clients |
Total data returned to clients from cache
 | Calculated |
contentcache.total.cacheddatareturned
Update: 60s
 |
| iCloud Content Used |
-
 | Dependent item |
contentcache.icloudused
Update: 0
 |
| Bytes Imported |
Bytes Imported by Caching Service
 | Dependent item |
contentcache.bytes.imported
Update: 0
 |
| iCloud Content Free |
-
 | Dependent item |
contentcache.icloudfree
Update: 0
 |
There are no triggers in this template.


The Aloha Editor UI
After reading this guide, you will be able to:
- Understand the basic components of the Aloha Editor UI
- Configure your Aloha Editor UI
This guide is currently a draft for the Aloha Editor jQuery UI, which is supposed to be the next generation UI for Aloha Editor. Your feedback is welcome!
1 What is the Aloha Editor UI
how will scopes work?
The Aloha Editor UI is a plugin and provides 2 containers (toolbar, sidebar), a messaging interface and componenttypes to build a user interface. You may use, extend and configure these or implement your own. Aloha Editor UI provides further component types and some components. A component is an instance of a componnent type. Any component may accept other components depending on its implementation. Usually plugins provide components such as the format plugin provides the bold component.
- The Aloha.toolbar provides context sensitive interaction items for main use. The toolbar contains tabs and tabs contain groups. Each group may contain components.
- The Aloha.sidebar provides attribute modification for more advanced users or extended functionality such as commenting. The sidebar contains tabs and each tab may contain components.
- The Aloha.message provides an interaction container, which informs users about status or other issues.
- Aloha.componenttypes are used as a basis to build your own UI components such as buttons and input fields.
2 Configuring the Aloha Editor UI
Every interface or component may have its own configuration settings. The containers and components come with default settings which are accessable in the namespace of the container or component. The values of settings are implementation specific.
Aloha.defaults.container = { name: value }; Aloha.defaults.component = { name: value };
You may define your site specific runtime settings may defining the settings for each container or component. The settings are assigned during the initialization stop of plugins.
see plugin lifecycle.
Aloha.settings.container = { name: value }; Aloha.settings.component = { name: value };
Further more every editable may have its own settings which you may pass as argument to the $( 'selector' ).aloha( settings ) method.
$( '#editable' ).aloha({ container: { name: value } component: { name: value } });
- September 1, 2011: Initial version by Haymo Meran and Scott Gonzales


By Author Name, Sat Jun 2 2018
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Comments appear here (URL: http://someurl.com/untitled-article.html, ID:<PHONE_NUMBER>).


Production Server Assistance
How to put a Webpage on the Prodution Server
-
Make a .html file inside your directory
-
Save and validate your content
-
Check and correct all the errors if there are any
-
After completing the first three steps, open terminal
-
Go into your directory folder or the folder where the .html file is located
-
Type in- sftp (name&studentnumber)@cmis-hsteacher-
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Go into the public.html folder
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Put the .html folder into your current folder by typing - put (foldername).html-
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DANGEROUS BEAUTY (1998)
A film review by Steve Kong Edited by Cher Johnson Copyright 1998 Steve Kong
You find out from the man that you love that he cannot marry you. Why?  So, what's a girl to do? Become an over-priced, well-educated prostitute for the rich, of course. Then you can accomplish three things: get yourself some high pleasure, make some money for your family, and--the most important--make that man that you love mighty jealous.
That is the basic story line for Dangerous Beauty, the second film starring Rufus Sewell I've screened in less than a week. Of course the girl, Veronica Franco (Catherine McCormack), is not called an "over-price well-educated prostituted" in the film; Franco is actually called a courtesan. She becomes a courtesan like her mother (Jacqueline Bisset) before her for the main reason to earn money for the family. But, we all know that she's also doing it to make the man that she loves, Marco Venier (Rufus Sewell), jealous and to find that opportune time to spend with him.
Veronica meets many men as a courtesan and one of them discovers her talent; she is a gifted poet. She befriends Marco's uncle, Domenico Venier (Fred Ward), who is a rich man and is willing to publish her works. There are a few subplot lines that run through the film, including one about the jealousy of Marco's cousin, Maffio (Oliver Platt), over Veronica's published works. Don't let these small details slip; they will come back later. Dangerous Beauty starts off telling the audience that it is a movie based on a true story, I'm not familiar with the story of Veronica Franco so I can't say if it's true to life or not. The movie itself is very entertaining. It has two things that kept my attention: the beautiful cinematography and the gorgeous and talented Catherine McCormack.
The cinematography, sets, and all-around look of Dangerous Beauty are breath taking. Cinematographer Bojan Bazelli films Dangerous Beauty with a fuzzy lens that makes everything very soft. But along with this, take note of the changes of colors that follow the changes of moods during the film. There are two very distinct looks. One is the golden bright look when Venice is doing well and the other is the dark blue look when Venice has fallen into trouble.
The performances are generally good, but it is Catherine (Braveheart) McCormack's that lights up the screen. She does a wonderful job with her part of the courtesan that is supposed to love only the pleasure that comes from her job. Rufus Sewell does well also onscreen; Sewell and McCormack have definite chemistry, which helps the film. Whenever the two are onscreen together the sparks are flying. I hope to see McCormack in more films soon.
The script by Jeannine Dominy, based on the book The Honest Courtesan by Margaret Rosenthal, is entertaining enough to hold our attention. It is not quite a gripping script but there are moments when we are completely caught up with what is happening in the film--look for the two poetry contests between Veronica and Maffio. Though there are those moments that run a bit long and we are left to look at our watches. The pacing of the film is a bit uneven, but this is a small flaw.
Dangerous Beauty is an extremely entertaining film that benefits from the beauty and acting of Catherine McCormack. Though the pacing is a bit uneven and some of the lines performed seem out of place, those are small flaws in the overall view of this film. Don't Miss Dangerous Beauty in the theatres.
--- steve kong<EMAIL_ADDRESS>find the latest movie reviews at the hard boiled movie page http://boiled.sbay.org/boiled/
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use(7f) - [FORTRAN] gives a program unit accessibility to public entities in a module. (LICENSE:PD)
Synopsis
Description
Examples
See Also
USE [, mode-nature ::] namespace [, rename-list] USE [, mode-nature ::] namespace [,ONLY: only-list]
The USE statement makes the specified namespace accessible to the current scoping unit. It also provides a means of renaming or limiting the accessibility of entities in the namespace.WHERE:
mode-nature Is INTRINSIC or NON_INTRINSIC. If INTRINSIC is used, namespace must be the name of an intrinsic module. If NON_INTRINSIC is used, namespace must be the name of an nonintrinsic module. If mod-nature is not specified, namespace must be the name of an intrinsic or nonintrinsic module. If both are provided, the nonintrinsic module is used. It is an error to specify a user module and an intrinsic module of the same name in the same program unit. namespace is a publicly accessible namespace; ie. it is the name of a module. rename-list is a comma-separated list of local-name => use-name only-list is a comma-separated list of access-id or [local-name => use-name] local-name is the local name for the entity specified by use-name Is the name of the entity in the program unit using the module or is "OPERATOR (op-name)", where op-name is the name of a defined operator in the program unit using the module. use-name is the name of a public entity in the specified namespace access-id is use-name or generic-spec generic-spec is generic-name or OPERATOR (defined-operator) or ASSIGNMENT (=)generic-name is the name of a generic procedure
defined-operator is one of the intrinsic operators
or .op-name.
.op-name. is a user-defined name for the operation
rename-list and ONLY: only-list may only appear if the namespace being used was implemented with Fortran for .NET
A USE statement without ONLY provides access to all PUBLIC entities in the specified namespace.
A USE statement with ONLY provides access only to those entities that appear in the only-list.
If more than one USE statement appears in a scoping unit, the rename-lists and only-lists are treated as one concatenated rename-list.
If two or more generic interfaces that are accessible in the same scoping unit have the same name, same operator, or are assignments, they are interpreted as a single generic interface.
Two or more accessible entities, other than generic interfaces, can have the same name only if no entity is referenced by this name in the scoping unit.
If local-name is absent, the use-name is available by use association.
An entity can be accessed by more than one local-name.
A local-name must not be declared with different attributes in the scoping unit that contains the USE statement, except that it can appear in a PUBLIC or PRIVATE statement in the scoping unit of a module.
Forward references to modules are not allowed. That is, if a module is used in the same source file in which it resides, the module program unit must appear before its use.
Samples:
module example ! example is the namespace name type type1 ! type1 is the class prototype name contains procedure, nopass :: static_method1 end type type1 type type2 ! type1 is the class prototype name contains procedure, nopass :: static_method2 end type type2 contains subroutine static_method1(arg) integer :: arg ! code to implement method goes here end subroutine static_method1 subroutine static_method2(arg) integer :: arg ! code to implement method goes here end subroutine static_method2 end module exampleuse example ! all public objects in namespace example available
use example, only: type1 ! class prototype type1 available, ! class prototype type2 not available
! within this scoping unit, type1 is referred to as "mytype" use example, mytype => type1
| use (7) | January 01, 2020 |


Full multithreading support is available with C++11 and later. Limited multithreading is possible with older versions of C++. See the last section of this page for more information.
proton::container
handles multiple connections concurrently in a thread pool, created using proton::container::run()
. As AMQP events occur on a connection the container calls proton::messaging_handler
event callbacks. The calls for each connection are serialized - callbacks for the same connection are never made concurrently.
You assign a handler to a connection in proton::container::connect()
or proton::listen_handler::on_accept()
with proton::connection_options::handler()
. We recommend you create a separate handler for each connection. That means the handler doesn't need locks or other synchronization to protect it against concurrent use by Proton threads. If you use the handler concurrently from non-Proton threads then you will need synchronization.
The examples multithreaded_client.cpp and multithreaded_client_flow_control.cpp illustrate these points.
proton::container
is thread-safe with C++11 or greater. An application thread can open (or listen for) new connections at any time. The container uses threads that call proton::container::run()
to handle network IO and call user-defined proton::messaging_handler
callbacks.
proton::container
ensures that calls to event callbacks for each connection instance are serialized (not called concurrently), but callbacks for different connections can be safely executed in parallel.
proton::connection
and related objects (proton::session
, proton::sender
, proton::receiver
, proton::delivery
) are not thread-safe and are subject to the following rules.
proton::messaging_handler
event callback called by Proton or a proton::work_queue
function (more below).proton::message
is a value type with the same threading constraints as a standard C++ built-in type. It cannot be concurrently modified.
proton::work_queue
provides a safe way to communicate between different connection handlers or between non-Proton threads and connection handlers.
proton::work_queue
.std::function
, and bound arguments will be called like an event callback.When the work function is called by Proton, it will be serialized safely so that you can treat the work function like an event callback and safely access the handler and Proton objects stored on it.
The examples multithreaded_client.cpp and multithreaded_client_flow_control.cpp show how you can send and receive messages from non-Proton threads using work queues.
proton::connection::wake()
allows any thread to "wake up" a connection by generating an on_connection_wake()
callback. This is the only thread-safe proton::connection
function.
This is a lightweight, low-level primitive for signaling between threads.
proton::work_queue
).wake()
can be "coalesced" into a single on_connection_wake()
.on_connection_wake()
can occur without any call to connection::wake()
. Proton uses wake internally.The semantics of wake()
are similar to std::condition_variable::notify_one
. There will be a wakeup, but there must be some shared application state to determine why the wakeup occurred and what, if anything, to do about it.
Work queues are easier to use in many instances, but wake()
may be useful if you already have your own external thread-safe queues and just need an efficient way to wake a connection to check them for data.
Before C++11 there was no standard support for threading in C++. You can use Proton with threads but with the following limitations.
proton::container::run()
.proton::container
and proton::work_queue
. You need an external lock to use proton::container
in multiple threads.The only exception is proton::connection::wake()
, it is thread-safe even in older C++.
You can implement your own proton::container
using your own threading library, or ignore the container and embed the lower-level proton::io::connection_driver
in an external poller. These approaches still use the same proton::messaging_handler
callbacks, so you can reuse most of your application code. Note that this is an advanced undertaking. There are a few pointers in IO integration.


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No need to search around from site to site. BookR allows you to find what you are looking for without leaving the app.
Book shopping can be hard when all you have to go on is the content on the cover. BookR collects and averages user reviews so that you can shop for books with confidence.
If you find a book you like BookR has links to stores where the books are available. You can go from searching to buying all within the app.
forum Kimberly - "BookR made purchasing textbooks a breeze! No more pacing through the bookstore trying to guess if the book is any good by the cover. The user reviews really helped me find something I wanted."


Conic Blitz
The following is a fast-paced game wherein the player solves a series of problems involving conic sections and important measures as much as possible under a grand time of 60 seconds.
By going to the this section, the players must be knowledgeable on how to calculate the measures given in the following table.
| Parabola |
Ellipse |
Hyperbola |
| Latus Rectum Length |
Latus Rectum Length |
Latus Rectum Length |
| Focus Coordinates |
Foci Coordinates |
Foci Coordinates |
| Vertex Coordinates |
Center Coordinates |
Center Coordinates |
| Eccentricity |
Eccentricity |
Eccentricity |
The question type is multiple choice. Choose the best answer among the given choices. Each correct answer will merit the player 2 additional seconds of answering while each incorrect answer will demerit the player 1 second of answering.


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If at the bottom of the url you add these parameters you can change the limit and offset values, by default they are set to 30 and 0
?limit=100&offset=2
Returns the lap times made the second race of 2019 by the selected driver
Returns the lap time of the second race of 2019 by the selected driver
Returns the lap times the second race of 2019 made in the selected lap
Returns the lap times made in the second race of 2019 for all drivers