Three dead as floods sweep France, Italy
At least three people have been killed in France and a landslide collapsed a stretch of elevated road in Italy, leaving cars perched perilously on a precipice, as heavy rains pounded the region over the weekend.
The rain trapped travellers, downed trees and unleashed mudslides, and triggered floods in parts of both countries.
A 30-metre section of road along a viaduct near the flooded Italian coastal city of Savona collapsed on Sunday.
In an aerial video taken by firefighters, cars and a lorry could be seen stopped perilously close to the point where the raised part of the A6 road plunged on to a wooded area of the Liguria region.
A man from one of the cars closest to the precipice stood outside his vehicle, holding up his arms towards other traffic to make sure drivers stopped.
Liguria governor Giovanni Toti said a landslide caused the collapse in a muddy, hilly area.
Firefighters were using dogs to sniff out any possible victims in 2m debris of mud, Toti said.
It was not known if any vehicles might have plunged off the road, which is supported by pillars at that point.
Elsewhere in northern Italy, a woman was found dead after the surging Bomida river swept away her car.
Flooding in Turin, northwest Italy, prompted cancellation of a marathon. In France, the Nice airport was briefly closed on Saturday.
Rivers leading from the Alps to the French Riviera broke their banks, and sirens rang out in resort towns.
A rescue boat sank while taking three people to shore near the French town of Muy, and one of them died, the Var regional administration said.
Another person was found dead in a car in the town of Cabasse.
French authorities are searching for two people missing in the floods, Nice mayor Christian Estrosi said on Sunday.
Rain-swollen rivers and flooded streets plagued Italy, where it has been raining, sometimes heavily, in much of the country nearly every day for about two weeks.
In Turin, the Po River overran its banks and flooded the medieval quarter and a popular riverside strolling area known as the Murazzi.
About 150 people were evacuated from their homes in Liguria, Italy's hilly northwest coastal region.
In Genoa, the charming neighbourhood of Boccadasse, a former fishing village with pastel-painted houses, was flooded after the sea rushed over retaining walls and on to the seaside road.
Venice was partially flooded, but the high tide's level of nearly 1.3m in late morning was not unusual.
In addition to the two dead in France, rescuers are searching for at least four others, French Interior Minister Christophe Castaner said after visiting the area on Sunday. He said more than 1600 people have been evacuated.
French national weather service Meteo France said the area absorbed the equivalent of two months of average rainfall in 24 hours.


GR32_RangeBars.pas provides controls similar to standard TScrollBar and TControlScrollBar. This unit is included into Graphics32 to provide customized scroll bars for TCustomImgView32 and TImgView32 to scroll their contents.


Speed-Up Browsing
Options
Cache time (Seconds) :
Force Cache :
Info and Support page
Support page :
Speed-Up Browsing : mubaidr@myOpera
Github link :
Speed-Up Browsing on Github


---
title: "Safrit's Winter Warmer"
layout: "post"
permalink: "/2013/04/safrits-winter-warmer.html"
uuid: "6812339705852525691"
guid: "tag:blogger.com,1999:blog-4897882164686544357.post-6812339705852525691"
date: "2013-04-04 21:51:00"
updated: "2013-04-04 21:51:41"
description:
blogger:
siteid: "4897882164686544357"
postid: "6812339705852525691"
comments: "0"
categories: [beer, pancakes, juniper, winter warmer, alex safrit, homebrew, wisconsin]
author: bradorego
---
Whew, as it turns out, making beer pancakes with normal pancake mix is actually kind of difficult. Where does the substitution come in? Is it the milk? The egg? Not as straightforward as I thought. As a result, we fell off the bandwagon a bit here, going about a month without updates - sorry about that!
The good news is that we're back and better than ever (well, at least as good as before). We've got a new box of pancake mix, and we're kicking things off with a beer that's about to go out of season - the Winter Warmer.
|
|
|
The "W" stands for Winter. Or Warmer. Or both.
|
A creation of the wonderful Alex Safrit, this Winter Warmer features a little bit of spice, a lot of wonderful caramel tones, and a little wintery goodness with Juniper seed. I've had this beer in my fridge since about January, and given Spring is on the horizon, I felt it was about time to put her to rest. And, of course, what better way to do that than pancakes?!
Prep/Cooking:
The Winter Warmer poured a foamy-yet-quick-to-subside dark amber, and has a wonderfully caramel flavor with the hint of spice and Christmas (aka juniper). In batter form, nothing changed much. If anything, we maybe lost a bit of the juniper, overrun by the stronger flavors in the beer and of the batter.
|
|
|
Check that color!
|
While the batter had settled by the time the picture was taken, the pancakes showed the bubbliness of this brew in cooking, and came out the other side a little darker than normal pancakes, but certainly not the strangest color we've seen on this blog.
|
|
|
I'mma be poppin' that bubbly...
|
Results:
While the loss of juniper was again true in pancake form, the spice and caramel tones really came through in pancake form, making a delightful-yet-flavorful flapjack. Next time you get your hands on a winter warmer (which, at this point, will likely be many months from now), give it a shot at the pancake world.
The Ternary Scale:
I'm actually going to break format on this one because this section would be totally pointless. As a homebrew, you'll likely never get your hands on this, so making a recommendation as to whether or not you should make pancakes out of is silly. I would like to take this time to thank Alex for the bottle, and encourage all of you out there to get into homebrewing. It's awesome.
{% include twitter.html %}


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--- layout: post authors: ["Aleksandra Pawlik"] title: "Google to Support WiSE Poland" date: 2014-12-05 time: "13:40:00" tags: ["Workshops", "Women in Science and Engineering"] ---
We are happy to announce that Google will support the Software Carpentry workshop for Women in Science and Engineering which will take place this weekend in Krakow! We are grateful for their support, and look forward to the event; to which registration filled up within 72 hours!


Buy 1 Auto Mankey Clicker
It costs 12 Pokeballs to catch him!
You Own 0 Auto Clickers
Buy 1 Auto Primeape Clicker
It costs 24 Pokeballs to catch him!
You Own 0 Auto Clickers
Buy 1 Auto Spinda Clicker
It costs ? Pokeballs to catch him!
You Own 0 Auto Clickers
Buy 1 Auto Poliwag Clicker
It costs 10 Pokeballs to catch him!
You Own 0 Auto Clickers


1. Controlling hobby servo motors¶
There are 4 dedicated connection points on the pyboard for connecting up hobby servo motors (see eg Wikipedia). These motors have 3 wires: ground, power and signal. On the pyboard you can connect them in the bottom right corner, with the signal pin on the far right. Pins X1, X2, X3 and X4 are the 4 dedicated servo signal pins.
In this picture there are male-male double adaptors to connect the servos to the header pins on the pyboard.
The ground wire on a servo is usually the darkest coloured one, either black or dark brown. The power wire will most likely be red.
The power pin for the servos (labelled VIN) is connected directly to the input power source of the pyboard. When powered via USB, VIN is powered through a diode by the 5V USB power line. Connect to USB, the pyboard can power at least 4 small to medium sized servo motors.
If using a battery to power the pyboard and run servo motors, make sure it is not greater than 6V, since this is the maximum voltage most servo motors can take. (Some motors take only up to 4.8V, so check what type you are using.)
1.1. Creating a Servo object¶
Plug in a servo to position 1 (the one with pin X1) and create a servo object using:
>>> servo1 = pyb.Servo(1)
To change the angle of the servo use the angle
method:
>>> servo1.angle(45)
>>> servo1.angle(-60)
The angle here is measured in degrees, and ranges from about -90 to +90,
depending on the motor. Calling angle
without parameters will return
the current angle:
>>> servo1.angle()
-60
Note that for some angles, the returned angle is not exactly the same as the angle you set, due to rounding errors in setting the pulse width.
You can pass a second parameter to the angle
method, which specifies how
long to take (in milliseconds) to reach the desired angle. For example, to
take 1 second (1000 milliseconds) to go from the current position to 50 degrees,
use
>>> servo1.angle(50, 1000)
This command will return straight away and the servo will continue to move
to the desired angle, and stop when it gets there. You can use this feature
as a speed control, or to synchronise 2 or more servo motors. If we have
another servo motor (servo2 = pyb.Servo(2)
) then we can do
>>> servo1.angle(-45, 2000); servo2.angle(60, 2000)
This will move the servos together, making them both take 2 seconds to reach their final angles.
Note: the semicolon between the 2 expressions above is used so that they are executed one after the other when you press enter at the REPL prompt.  Continuous rotation servos¶
So far we have been using standard servos that move to a specific angle and stay at that angle.  Internally, the motor has a variable resistor (potentiometer) which measures the current angle and applies power to the motor proportional to how far it is from the desired angle. The desired angle is set by the width of a high-pulse on the servo signal wire. A pulse width of 1500 microsecond corresponds to the centre position (0 degrees). The pulses are sent at 50 Hz, ie 50 pulses per second.
You can also get continuous rotation servo motors which turn continuously clockwise or counterclockwise. The direction and speed of rotation is set by the pulse width on the signal wire. A pulse width of 1500 microseconds corresponds to a stopped motor. A pulse width smaller or larger than this means rotate one way or the other, at a given speed.
On the pyboard, the servo object for a continuous rotation motor is
the same as before. In fact, using angle
you can set the speed. But
to make it easier to understand what is intended, there is another method
called speed
which sets the speed:
>>> servo1.speed(30)
speed
has the same functionality as angle
: you can get the speed,
set it, and set it with a time to reach the final speed.
>>> servo1.speed()
30
>>> servo1.speed(-20)
>>> servo1.speed(0, 2000)
The final command above will set the motor to stop, but take 2 seconds to do it. This is essentially a control over the acceleration of the continuous servo.
A servo speed of 100 (or -100) is considered maximum speed, but actually you can go a bit faster than that, depending on the particular motor.
The only difference between the angle
and speed
methods (apart from
the name) is the way the input numbers (angle or speed) are converted to
a pulse width.
1.3. Calibration¶
The conversion from angle or speed to pulse width is done by the servo object using its calibration values. To get the current calibration, use
>>> servo1.calibration()
(640, 2420, 1500, 2470, 2200)
There are 5 numbers here, which have meaning:
Minimum pulse width; the smallest pulse width that the servo accepts.
Maximum pulse width; the largest pulse width that the servo accepts.
Centre pulse width; the pulse width that puts the servo at 0 degrees or 0 speed.
The pulse width corresponding to 90 degrees. This sets the conversion in the method
angle
of angle to pulse width.The pulse width corresponding to a speed of 100. This sets the conversion in the method
speed
of speed to pulse width.
You can recalibrate the servo (change its default values) by using:
>>> servo1.calibration(700, 2400, 1510, 2500, 2000)
Of course, you would change the above values to suit your particular servo motor.


Robotic Arts Intro Fall 2019 (IA277.01)
- Instructor: Lucas Yasunaga Haroldsen<EMAIL_ADDRESS>- Class Site: yasunaga.work/raif19
- syllabus: syllabus.pdf
- Resources: links.html
- Office hours: Tuesday 1 - 4pm
08/30: Speculations --- [Introductions]
09/06: Looking closer --- [Basic Elements]
09/13: Switch and Transistors --- [meaning from 1s and 0s]
09/20: solar creatures --- [electronic companions and satellite scenes]
09/27: Arduino is here --- [Connecting/Architecture/Digital IO]
10/11: Electronic Harvest Day!
10/18: more listening --- [Serial Communication and Analog input]
10/25:Expression --- [Analog output]
11/01:Powering your project--- [motor movement]
11/08: [work and planning day]
11/15: --- [work session & prototyping]


So you forgot your password? No problem! Just fill in the email address you used to register here and we will mail you instructions on how to reset your password.


×
Cash
Cash payments are the standard recommended method, and will give your project the highest priority.
Equity
Payment in equity requires a business plan, and a longer negotiating process prior to starting the work. Recommended only for start-ups that are strapped for cash.
Research Co-Authorships
Can provide a discounted rate for resesarch institutions. Requires a research plan of the publication, and a list of targetted journals.
Pats
For poor social/environmental, not for profit orginisations only. Our team devotes one day per week for pro-bono work, and your project will have the lowest priority.


{% extends 'eLearningApp/base.html' %} {% block content %}
A software application or set of related programs that are used to create and manage digital content.
Welcome! This course is offered by Christian Health Service Corps as part of our Medical Missions 101 initiative. Medical Missions 101 is an online community dedicated to educating, encouraging and engaging those who share our passion for medical missions. As a community we are pursuing best evidence-based practice in medical missions and global health; we invite you to join us.


On Friday the 25th of June we had our last day with the polish friends. Right after we had our breakfast we met for the last time. We exchanged our opinions about the whole week, how we enjoyed ourselves, what we liked and what we disliked. We told each other whats left and what we need to perfect. Lastly we told our goodbyes and the polish friends went on their way home.


Eric Liu
<EMAIL_ADDRESS>@ezliu
Many entrepreneurs initially believe that getting product built is their largest obstacle to success.
Unfortunately, for most, getting product built is the easy part. The hard part is convincing people to use/buy it.
Search is big: 18 BILLION queries/mo in the USA
| Search Engine | Monthly Searches | Market Share |
| Total | 18b | 100% |
| 12b | 66% | |
| Microsoft | 2.7b | 15% |
| Yahoo | 2.6b | 14% |
| Ask Network | 0.53b (530m) | 3% |
| AOL | 0.28b (280m) | 1.6% |
http://www.marketingcharts.com/direct/microsoft-core-search-query-volume-rebounds-15739/comscore-us-search-engine-total-core-by-number-of-queries-dec-10gif/
Of course, it's fancier than this and the content matters as well.
http://computer.howstuffworks.com/internet/basics/search-engine.htm/printable
http://www.seomoz.org/beginners-guide-to-seo
http://www.webworkshop.net/pagerank.html
There are places where you can post links to your site/content you create
http://karim-ouda.blogspot.com/2012/05/ultimate-list-of-websites-you-need-to.html
http://www.quora.com/Startups/How-do-you-promote-your-startup-without-being-annoying
Social


Expenditure Per Capita
This section includes visualizations detailing the per capita expenditure for each of the eleven countries, starting off with GDP per capita and then moving on to three different subsections for military, healthcare, and education. Each of these subsections shows column chart visualizations for per capita expenditure, as well as a stacked column chart showing per capita expenditure compared to GDP per capita in 2018, or 2014 in the case of education expenditure.


Please attempt to complete the following before arriving to the venue. Also feel free to arrive a little early if you have additional questions for the OSG technical staff.
Integrating your cluster into OSG has fairly low requirements. Your cluster should meet the following:
Please fill out this questionnaire so that we have information about your cluster before the workshop. This will give us extra time to configure the OSG managed services for your cluster. Additionally, you should create the user that the OSG infrastructure will use to submit jobs to your cluster in order to facilitate the integration process during the workshop.


Categorias
{{item.title}}
{{category.title}}
Carregando...
{{talk.time}}
{{talk.title}}
Play Talk
{{talk.description}}
{{talk.author}}
{{talk.date}}


This menu command opens the Upload File Dialog Box which allows you to upload a file to the currently highlighted CIX forum. Bear in mind that not every CIX forum has a file list attached.
Note: This command allows you to upload a file to a CIX Forum and should not be confused with the Upload File command in the Mail Menu which will upload a file to your CIX Mail Directory.


3. Quick Start
Common Setup Steps
These setup steps are the same for all tutorials in this chapter:
1. Install Cayenne:
Check these and these instructions.
In particular, JDK 1.4 or newer must be installed.
2. Get access to a Relational Database:
For instance this can be a shared database running
somewhere on the server in your organization. If you don't have access to such database
(or don't have permissions to create and drop tables in it), it will probably be simpler if you
install a local database on the development machine. All the tutorial SQL scripts were written
for MySQL, so installing MySQL should be the simplest option.
3. Install JDBC Driver:
Install JDBC driver for the database used in step (2). Put the driver jars somewhere
in the filesystem. You don't have to add them to CLASSPATH for the CayenneModeler to run,
however you may need to do that to run your application.
4. Start CayenneModeler GUI Application, Configure Driver Settings:
Follow these instructions
to start the Modeler. Then
go to "Tools > Preferences > ClassPath" and create an entry or entries for
the JDBC driver JAR files installed in the step (3). Once these preferences are saved, they will be
used by the Modeler, even after it is restarted.
Note:
Source code for the tutorials discussed in this chapter is bundled with Cayenne
distribution. More advanced Cayenne examples are available as a separate download
from the download page.
|
Database schema used in all tutorials in
this chapter is shown below:
|


|
Steve Jobs |
|
|
entrepreneur |
|
|
Steve Jobs is the authorized biography of Steve Jobs. The biography was written at the request of Jobs by Walter Isaacson, a former executive at CNN and Time who has written best-selling biographies of Benjamin Franklin and Albert Einstein |


A | |
| access_permission [BatUnix] |
Flags for the
Unix.access call.
|
| addr_info [BatUnix] |
Address information returned by
Unix.getaddrinfo .
|
| alarm [BatGc] |
An alarm is a piece of data that calls a user function at the end of
each major GC cycle.
|
| auto_cache [BatCache] |
Automatically managed caches
|
B | |
| backtrace_slot [BatPrintexc] |
The abstract type
backtrace_slot represents a single slot of
a backtrace.
|
| base_t [BatBounded.BoundedType] |
The base/raw type
|
| base_u [BatBounded.S] |
Raw unbounded type
|
| bat__compare_t [BatNumber.Compare] | |
| bat__infix_t [BatNumber.Infix] | |
| bat__refops_t [BatNumber.RefOps] | |
| big_int [BatBig_int] |
The type of big integers.
|
| bound_t [BatBounded] | `o pen or `c losed or `u nbounded bounds
|
| bounded [BatNumber.Bounded] | |
| bounding_f [BatBounded] |
The type of a bounding function with limits specified by
bounds
|
| buf [BatUTF8.Buf] |
Buffers for UTF-8 strings.
|
| bytes [Batteries] | |
C | |
| c_layout [BatBigarray] | |
| choice [BatOrd] |
choice functions, see
min and max .
|
| comp [BatOrd] |
The legacy int-returning comparisons : compare a b < 0 means a < b, compare a b = 0 means a = b, compare a b > 0 means a > b
|
| complex32_elt [BatBigarray] | |
| complex64_elt [BatBigarray] | |
| components [BatPathGen.PathType] |
A
path can be represented by the following triple:
(Path.parent path, Path.name_core path, Path.ext path)
|
| control [BatGc] |
The GC parameters are given as a
control record.
|
D | |
| decoding_table [BatBase64] |
A decoding table maps chars 0..255 to the corresponding 0..63 value
or -1 if the char is not accepted.
|
| dir_handle [BatUnix] |
The type of descriptors over opened directories.
|
| discrete [BatNumber.Discrete] | |
| discrete [BatNumber.Numeric] | |
| dq [BatDeque] |
The type of double-ended queues
|
E | |
| easy_lev [BatLog] |
The different verbosity levels supported in the
Easy logger
|
| elem [BatHeap.H] |
Type of elements of the heap
|
| elt [BatSet.S] |
The type of the set elements.
|
| elt [BatISet] |
This kind of set only holds ints
|
| encoding_table [BatBase64] |
An encoding table maps integers 0..63 to the corresponding char.
|
| enumerable [BatQueue] | |
| enumerable [BatEnum.Enumerable] |
The data structure, e.g.
|
| eq [BatOrd] |
The type for equality function.
|
| error [BatUnix] |
The type of error codes.
|
| event [BatLogger] |
A log
event consists of an event name and a list of key-value
parameters (an association list).
|
| extern_flags [BatMarshal] |
The flags to the
Marshal.to_* functions below.
|
F | |
| f_printer [BatIO] | |
| fg [BatFingerTree.S] |
The type of finger trees containing elements of type
'a
measured by 'm .
|
| file_descr [BatUnix] |
The abstract type of file descriptors.
|
| file_kind [BatUnix] | |
| file_perm [BatUnix] |
The type of file access rights, e.g.
|
| flag [BatLog] | |
| float32_elt [BatBigarray] | |
| float64_elt [BatBigarray] | |
| flow_action [BatUnix] | |
| flush_queue [BatUnix] | |
| formatter [BatLogger] |
the type of a log formatter is a function that takes the
logger, the level of the log statement (which will be the
currently enabled level or one of its successors), the event
record, and a unix timestamp indicating the time the event was
created.
|
| formatter [BatFormat] |
Abstract data corresponding to a pretty-printer (also called a
formatter) and all its machinery.
|
| formatter_tag_functions [BatFormat] |
The tag handling functions specific to a formatter:
mark versions are the ``tag marking'' functions that associate a string
marker to a tag in order for the pretty-printing engine to flush
those markers as 0 length tokens in the output device of the formatter.
|
| fortran_layout [BatBigarray] | |
| fpkind [BatFloat.Safe_float] |
Classes of floating point numbers
|
| fpkind [BatFloat] |
Classes of floating point numbers
|
G | |
| getaddrinfo_option [BatUnix] |
Options to
Unix.getaddrinfo .
|
| getnameinfo_option [BatUnix] |
Options to
Unix.getnameinfo .
|
| group [BatOptParse.OptParser] |
The type of an option group.
|
| group_entry [BatUnix] |
Structure of entries in the
groups database.
|
H | |
| hobj [BatHashcons] |
The type
t hobj represents hashed objects of type t .
|
| host_entry [BatUnix] |
Structure of entries in the
hosts database.
|
I | |
| index [BatUTF8] |
Positions in the string represented by the number of bytes from the head.
|
| inet_addr [BatUnix] |
The abstract type of Internet addresses.
|
| input [BatInnerIO] | |
| input [BatIO] |
The abstract input type.
|
| int16_signed_elt [BatBigarray] | |
| int16_unsigned_elt [BatBigarray] | |
| int32_elt [BatBigarray] | |
| int64_elt [BatBigarray] | |
| int8_signed_elt [BatBigarray] | |
| int8_unsigned_elt [BatBigarray] | |
| int_elt [BatBigarray] | |
| interval_timer [BatUnix] |
The three kinds of interval timers.
|
| interval_timer_status [BatUnix] |
The type describing the status of an interval timer
|
K | |
| key [BatMap.S] |
The type of the map keys.
|
| key [BatIMap] | |
| key [BatHashtbl.S] | |
| key [BatHashcons.Table] |
type of objects in the table
|
| kind [BatBigarray] | |
L | |
| layout [BatBigarray] | |
| level [BatLogger] | |
| lexbuf [BatLexing] |
The type of lexer buffers.
|
| lexer_error [BatGenlex] | |
| location [BatPrintexc] |
The type of location information found in backtraces.
|
| lock [BatConcurrent] |
The light-weight type of a lock, i.e.
|
| lock_command [BatUnix] |
Commands for
Unix.lockf .
|
| log [BatLogger] | |
M | |
| m [BatOption.Monad] |
The type of values in this monad : option
|
| m [BatInterfaces.Monad] |
The type of a monad producing values of type
'a .
|
| m [BatEnum.Monad] |
The type of the BatEnum monad's elements, thus
BatEnum.t .
|
| m [BatEnum.WithMonad] |
Type of the monadic elements.
|
| manual_cache [BatCache] | |
| mappable [BatInterfaces.Mappable] |
The data structure, e.g.
|
| monoid [BatFingerTree] |
The type of the element of a monoid.
|
| msg_flag [BatUnix] | |
N | |
| name_info [BatUnix] |
Name of service or port number
|
| nativeint_elt [BatBigarray] | |
| node [BatSeq] | |
| node_t [BatLazyList] | |
| node_t [BatDllist] | |
| num [BatNum] |
The type of numbers.
|
| numeric [BatNumber] |
The smallest set of operations supported by every set of numbers.
|
O | |
| open_flag [BatUnix] |
The flags to
Unix.openfile .
|
| open_in_flag [BatFile] | |
| open_out_flag [BatFile] |
Flags governing file output; they correspond to the relevant
flags to the POSIX
open() call.
|
| open_temporary_out_flag [BatFile] | |
| ord [BatOrd] |
The type of ordering functions returning an
order variant.
|
| order [BatOrd] | |
| output [BatInnerIO] | |
| output [BatIO] |
The abstract output type,
'a is the accumulator data, it is returned
when the close_out function is called.
|
P | |
| passwd_entry [BatUnix] |
Structure of entries in the
passwd database.
|
| permission [BatFile] |
The list of operations which are permitted on a file.
|
| position [BatLexing] |
A value of type
position describes a point in a source file.
|
| position [BatCharParser] |
The position inside one file or one stream.
|
| printer [BatIO] |
The type of a printing function to print a
'a to an output that
produces 'b as result.
|
| process_status [BatUnix] |
The termination status of a process.
|
| process_times [BatUnix] |
The execution times (CPU times) of a process.
|
| protocol_entry [BatUnix] |
Structure of entries in the
protocols database.
|
R | |
| raw_backtrace [BatPrintexc] |
The abstract type
raw_backtrace stores a backtrace in
a low-level format, instead of directly exposing them as string as
the get_backtrace() function does.
|
| raw_backtrace_slot [BatPrintexc] |
This type allows direct access to raw backtrace slots, without any
conversion in an OCaml-usable data-structure.
|
| report [BatParserCo] | |
| resizer_t [BatDynArray] |
The type of a resizer function.
|
| result [BatPervasives] |
This type represents the outcome of a function which has the
possibility of failure.
|
| result [BatInnerPervasives] | |
S | |
| scanbuf [BatScanf.Scanning] |
The type of scanning buffers.
|
| scanner [BatScanf] |
The type of formatted input scanners:
('a, 'b, 'c, 'd) scanner is the
type of a formatted input function that reads from some scanning buffer
according to some format string; more precisely, if scan is some
formatted input function, then scan ib fmt f applies f to the arguments
specified by the format string fmt , when scan has read those arguments
from the scanning input buffer ib .
|
| seek_command [BatUnix] |
Positioning modes for
Unix.lseek .
|
| service_entry [BatUnix] |
Structure of entries in the
services database.
|
| setattr_when [BatUnix] | |
| shutdown_command [BatUnix] |
The type of commands for
shutdown .
|
| signal_behavior [BatSys] | |
| sigprocmask_command [BatUnix] | |
| sockaddr [BatUnix] | |
| socket_bool_option [BatUnix] |
The socket options that can be consulted with
Unix.getsockopt
and modified with Unix.setsockopt .
|
| socket_domain [BatUnix] |
The type of socket domains.
|
| socket_float_option [BatUnix] |
The socket options that can be consulted with
Unix.getsockopt_float
and modified with Unix.setsockopt_float .
|
| socket_int_option [BatUnix] |
The socket options that can be consulted with
Unix.getsockopt_int
and modified with Unix.setsockopt_int .
|
| socket_optint_option [BatUnix] |
The socket options that can be consulted with
Unix.getsockopt_optint
and modified with Unix.setsockopt_optint .
|
| socket_type [BatUnix] |
The type of socket kinds, specifying the semantics of
communications.
|
| stat [BatGc] |
The memory management counters are returned in a
stat record.
|
| state [BatParserCo] |
The current state of the parser.
|
| stats [BatUnix.LargeFile] | |
| stats [BatUnix] |
The information returned by the
Unix.stat calls.
|
T | |
| t [BatVect] |
The type of a polymorphic vect.
|
| t [BatUref] |
A synonym for convenience
|
| t [BatUnit] |
The unit type, i.e.
|
| t [BatUTF8] |
UTF-8 encoded Unicode strings.
|
| t [BatUChar] | |
| t [BatTuple.Tuple5] | |
| t [BatTuple.Tuple4] | |
| t [BatTuple.Tuple3] | |
| t [BatTuple.Tuple2] | |
| t [BatText] |
The type of the rope.
|
| t [BatSubstring] | Substring.t is the type of substrings of a basestring, an efficient
representation of a piece of a string.
|
| t [BatString.Cap] |
The type of capability strings.
|
| t [BatString] |
An alias for the type of strings.
|
| t [BatStream] | |
| t [BatStack] |
The type of stacks containing elements of type
'a .
|
| t [BatSet.PSet] |
The type of sets.
|
| t [BatSet.S] |
The type of sets.
|
| t [BatSet] |
The type of sets.
|
| t [BatSeq] |
A sequence is a computation which returns a list-like node
|
| t [BatReturn] |
A label which may be used to return values of type
'a
|
| t [BatResult] |
The type of a result.
|
| t [BatRefList] |
The type of an empty ref list
|
| t [BatRef] |
The type of references.
|
| t [BatRandom.Incubator.Private_state_enums.State] |
same as BatRandom.State
|
| t [BatRandom.State] |
The type of PRNG states.
|
| t [BatRMutex] |
The type of mutexes.
|
| t [BatQueue] |
The type of queues containing elements of type
'a .
|
| t [BatPrintf] |
The format to use for displaying the various arguments passed to the function.
|
| t [BatPrintexc.Slot] | |
| t [BatPathGen.StringType] |
Type for strings.
|
| t [BatPathGen.PathType] |
A type for storing paths.
|
| t [BatParserCo.Source] |
A source of elements of type
'a , with a user-defined state
of type 'b
|
| t [BatParserCo] |
A parser for elements of type
'a , producing
elements of type 'b , with user-defined states
of type 'c .
|
| t [BatOption] | |
| t [BatOptParse.OptParser] |
The type of an option parser.
|
| t [BatOptParse.Formatter] | |
| t [BatOptParse.Opt] |
Option type.
|
| t [BatNumber.NUMERIC_BASE] | |
| t [BatNumber.Numeric] | |
| t [BatNum] | |
| t [BatNativeint] |
An alias for the type of native integers.
|
| t [BatMultiPMap] | |
| t [BatMultiMap] | |
| t [BatMap.PMap] | |
| t [BatMap.S] |
The type of maps from type
key to type 'a .
|
| t [BatMap] | |
| t [BatLog.Level_sig] |
A type for level values, usually a polymorphic variant
|
| t [BatLog.Config] | |
| t [BatList] |
The type of lists
|
| t [BatLazyList] |
The type of a lazy list.
|
| t [BatInterfaces.OrderedType] | |
| t [BatInt64] | |
| t [BatInt32] | |
| t [BatInt.Safe_int] |
An alias for the type of integers.
|
| t [BatInt] |
An alias for the type of integers.
|
| t [BatInnerWeaktbl] |
The type of hash tables from type
'a to type 'b .
|
| t [BatInnerIO.Output] | |
| t [BatInnerIO.Input] | |
| t [BatISet] |
the underlying representation is a balanced tree of ranges
|
| t [BatIMap] | |
| t [BatHeap.H] |
Type of the heap
|
| t [BatHeap] |
Heap of elements that are compared with
Pervasives.compare .
|
| t [BatHashtbl.HashedType] |
The type of the hashtable keys.
|
| t [BatHashtbl.Cap] |
The type of a hashtable.
|
| t [BatHashtbl.S] | |
| t [BatHashtbl] |
A Hashtable wth keys of type 'a and values 'b
|
| t [BatHashcons.Table] |
type of the table
|
| t [BatHashcons] |
A synonym for convenience
|
| t [BatGlobal] |
Abstract type of a global
|
| t [BatGenlex] |
A lexer
|
| t [BatFloat.Safe_float] |
The type of floating-point numbers.
|
| t [BatFloat] |
The type of floating-point numbers.
|
| t [BatFingerTree] | |
| t [BatEnum] | |
| t [BatDynArray] | |
| t [BatDllist] | |
| t [BatDigest] |
The type of digests: 16-character strings.
|
| t [BatDeque] |
A synonym for convenience
|
| t [BatConcurrent.BaseLock] |
The type of a lock.
|
| t [BatConcurrent.Lock] |
The type of a lock.
|
| t [BatComplex] | |
| t [BatOrd.Eq] | |
| t [BatOrd.Ord] | |
| t [BatOrd.Comp] | |
| t [BatChar] |
An alias for the type of characters.
|
| t [BatBytes] |
An alias for the type of byte sequences.
|
| t [BatBuffer] |
The abstract type of buffers.
|
| t [BatBounded.BoundedType] |
The type that makes up the bounded range
|
| t [BatBounded.S] |
Private version of
BatBounded.S.u to avoid construction of BatBounded.S.t values without
using make below.
|
| t [BatBool] |
The type of booleans.
|
| t [BatBitSet] | |
| t [BatBigarray.Array3] |
The type of three-dimensional big arrays whose elements have
OCaml type
'a , representation kind 'b , and memory layout 'c .
|
| t [BatBigarray.Array2] |
The type of two-dimensional big arrays whose elements have
OCaml type
'a , representation kind 'b , and memory layout 'c .
|
| t [BatBigarray.Array1] |
The type of one-dimensional big arrays whose elements have
OCaml type
'a , representation kind 'b , and memory layout 'c .
|
| t [BatBigarray.Genarray] |
The type
Genarray.t is the type of big arrays with variable
numbers of dimensions.
|
| t [BatBig_int] | |
| t [BatArray.Incubator.Ord] | |
| t [BatArray.Incubator.Eq] | |
| t [BatArray.Cap] |
The type of arrays with capabilities.
|
| t [BatArray] |
The type of arrays.
|
| tag [BatFormat] | |
| tchar [BatPathGen.StringType] |
Character type used by
t .
|
| terminal_io [BatUnix] | |
| tm [BatUnix] |
The type representing wallclock time and calendar date.
|
| token [BatGenlex] |
The type of tokens.
|
| tree [BatAvlTree] | |
U | |
| u [BatBounded.S] | BatBounded.S.base_u after bounding constraints have been applied
|
| uchar [BatUChar] |
Aliases of
type t
|
| uchar [BatPathGen.PathType] |
Type of characters.
|
| uref [BatUref] |
A
t uref is a reference to a cell that contains a
value of type t .
|
| ustring [BatPathGen.PathType] |
Type of strings used.
|
V | |
| validator [BatPathGen.PathType] |
Validators should check if all characters of given string can be used in a name (path component).
|
W | |
| wait_flag [BatUnix] |
Flags for
Unix.waitpid .
|
| wrap [BatFingerTree.S] |
A type meant to avoid duplication of signatures.
|


Skills
Technical Skills : Java Java EE Spring Boot SQL MySQL GIT GitHub Debugging REST API
Soft Skills : Problem solving Analytical thinking Teamwork Time management Adaptability
Personal Projects
Inventory Management System for Regent Marketing Delivery Agency
- Automate the day-to-day inventory update process.
- Generate sales & inventory reports.
File Management System for Accounts Department in Vallibel Finance PLC
- Maintain accurate updates of the file receiving and returning process.
- Generate daily file received and returned reports.
Work Experience
-
Junior Executive - IT
Vallibel Finance PLC
2023-Jan - Present
-
Junior Executive - Insurance
Vallibel Finance PLC
2016-Sep - 2023-Dec
-
Documentation Officer - Credit
Vallibel Finance PLC
2015-May - 2016-Aug
Education
-
Higher National Diploma in Software Engineering
National Institute of Business Management (NIBM)
2019 - 2021
Lerning Archivements:
♦ Data Structures & Algorithms ♦ Spring Framework with Spring Boot, Java EE ♦ Android Application Development ♦ NoSQL Database with MongoDB ♦ Microservices Architecture ♦ PL/SQL programming with Oracle Database ♦ Internet of things (IOT) ♦ Data Warehousing and Data Mining ♦ Software Security -
Introduction to Git & GitHub
Coursera | Google
2021
-
Crash Course on Python
Coursera | Google
2020
-
Diploma in Software Engineering
National Institute of Business Management (NIBM)
2017 - 2018
Lerning Archivements:
♦ Software Development Life Cycle (SDLC) ♦ Object Oriented Programming Concept with Java ♦ Relational Database Management & Analyzing ♦ Windows Application Development with C#♦ Web Designing and Development with HTML5, CSS3, JavaScript, PHP and ASP.Net -
Java Standalone Application Developer
Java Institute for Advanced Technology
2012 - 2013
-
G.C.E Advance Level - Mathemetics Stream
GM/ Glalahitiyawa Central College - Ganemulla
2011
-
G.C.E Ordinary Level
WP/KL Kadawatha Central College - Kadawatha
2008


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| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| api | 90.87% | 1055/1161 | 79.95% | 335/419 | 91.4% | 202/221 | 90.79% | 996/1097 | |
| auth | 93.33% | 14/15 | 100% | 2/2 | 80% | 4/5 | 92.86% | 13/14 | |
| core | 96.86% | 1140/1177 | 91.34% | 422/462 | 98.43% | 251/255 | 96.65% | 1069/1106 | |
| local | 95.84% | 1797/1875 | 87.5% | 294/336 | 96.01% | 481/501 | 95.61% | 1654/1730 | |
| model | 96.96% | 860/887 | 89.03% | 284/319 | 95.5% | 212/222 | 96.7% | 792/819 | |
| platform | 82.14% | 23/28 | 50% | 2/4 | 85.71% | 6/7 | 81.48% | 22/27 | |
| platform_browser | 87.33% | 131/150 | 61.29% | 19/31 | 88.89% | 24/27 | 87.07% | 128/147 | |
| remote | 94.43% | 1372/1453 | 81.19% | 492/606 | 98.94% | 280/283 | 94.44% | 1308/1385 | |
| util | 91.35% | 697/763 | 79.18% | 251/317 | 91.01% | 172/189 | 91.55% | 650/710 |


WITNESS LIST
Transportation
March 29, 2016 9:00 AM
Oversize and Overweight Vehicles
ON:
Allison, Jim General Counsel (also providing written testimony) (County Judges and
Commissioners Association of Texas), Austin, TX
Esparza, John President (Texas Trucking Association), Austin, TX
Marek, Mark Director of Engineering (TxDOT), Austin, TX
Mellott, Shelly Deputy Executive Director (Texas Dept of Motor Vehicles), Austin, TX
Murphy, Michael R. Research Engineer (University of Texas - Austin), Austin, TX
Prozzi, Jorge A. Professor (University of Texas - Austin), Austin, TX
Villarreal, Omar Captain (Tx DPS), Austin, TX
Weissmann, Jose Professor Civil Eng. (University of Texas - San Antonio), San Antonio,
TX
Registering, but not testifying:
ON:
Archer, Jimmy Director, Motor Carrier Div (Texas Dept of Motor Vehicles), Austin, TX
McKee, Scott D. Permit Section Supervisor (TxDMV), Austin, TX
Regional Mobility Authorities
ON:
Bass, James Executive Director (TxDOT), Austin, TX
Cassidy, Brian Partner, Locke Lord LLP (Central Texas RMA, Camino Real RMA,
Cameron County RMA, Grayson County RMA, North East Texas RMA, Webb
County/Laredo RMA), Austin, TX
Chapman, Bill Chief Financial Officer (CTRMA), Austin, TX
Goodin, Ginger Center Director (Texas A&M Transportation Institute), Austin, TX
Guerra, Rodolfo David Director (HCRMA), McAllen, TX
Heiligenstein, Mike Executive Director (also providing written testimony) (CTRMA),
Austin, TX
Long, Cynthia County Commissioner (Williamson County), Cedar Park, TX
Sepulveda, Pete Executive Director (Cameron County RMA), Rancho Viejo, TX
Telles, Raymond Executive Director (Camino Real Regional Mobility Authority), El Paso,
TX
Registering, but not testifying:
ON:
Asher, Ben Director, Debt Management (TxDOT), Austin, TX
Overman, John Research Scientist (Texas A&M Transportation Institute), Arlington, TX
Ramirez, Richard Managing Director (RMAs), Austin, TX


Event Location:
SUNY Albany
1400 Washington Ave
Albany, New York
Abstract:
Have you been thinking about presenting at a user group? Are you being asked to present at your work? Is learning to present one of the keys to advancing your career? Or do you just think it would be fun to present but you are too nervous to try it? Well take the first step to becoming a presenter by attending this session and I will guide you through the process of learning to present and becoming good at it. It's easier than you think! I am an introvert and was deathly afraid to speak in public. Now I love to present and it's actually my main function in my job at Microsoft. I'll share with you journey that lead me to speak at major conferences and the skills I learned along the way to become a good presenter and to get rid of the fear. You can do it!
Speaker(s): James Serra,
Abstract:
Abstract: Today’s large data fields (LDF) are full of unstructured information stored in varchar, text, varbinary or xml data types. How do you write an application to search the column for patterns? Traditional SQL techniques using a column INDEX and LIKE operator result in a query plan that contains a full table scan. I will be introducing the brother’s grimm database that has the full text of each fairy tale. I will create a full text catalog / index, select a change tracking strategy, define optional stop list / thesaurus file, and then populate the index. I will use CONTAINS and FREETEXT operators in SELECT queries to leverage the FTI. This resulting query plan performs index seek. Coverage: 1 – Creating a database from scratch. 2 – Creating a table with LOB field. 3 – Loading files via BULK INSERT. 4 – Performance via traditional techniques. 5 – Creating a full text index. 6 – Performance with the full text index. 7 - Using FTI in a Azure SQL database.
Speaker(s): John Miner,
Abstract:
Abstract: Many companies start off with a simple data mart for reporting. As the company grows, users become dependent on the data mart for monitoring and making decisions on Key Performance Indicators (KPI). Unexpected information growth in your data mart may lead to a performance impacted reporting system. In short, your users will be lining up at your cube for their daily reports. How do you reduce the size of your data mart and speed up data retrieval? This presentation will review the following techniques to fix your woes. Coverage: 1 – What is horizontal partitioning? 2 – Database sharding for daily information. 3 – Working with files and file groups. 3 – Partitioned views for performance. 4 – Table and Index partitions. 5 – Row Data Compression. 6 – Page Data Compression. 7 – Programming a sliding window. 8 – What is different in Azure SQL database?
Speaker(s): John Miner,
Abstract:
With the vast amount of changes that occur in our daily business environments, it becomes more and more difficult to achieve our corporate goals without some ‘lighthouse’ to guide our way. Data mining, (while not a panacea to resolve or ‘control’ the effects of these changes), can provide us with statistical trends by analyzing our data and highlighting probable outcomes. In this hands on BEGINNERS presentation we shall be looking at Microsoft SQL Server’s Data Mining capabilities and we shall be discussing: 1) Defining what questions we want answered and how to go about this in an effective and efficient manner. 2) Creating the data model. 3) How to gather the necessary data, discussing the training and testing aspect. 4) Processing the model. 5) Extracting information from our finished model, discussing the implications of this information.
Speaker(s): Steve Simon,
Abstract:
If you work in an agile environment, design requirements often come to us as stories with the phrase: "As a type of user, I want to ..." For example: As a DBA, I want to be able to break down user stories to understand how they translate into our current database design and usage and have an understanding as to how it will affect future needs. That user story is also the goal for the session. This will present one approach to how we can think about these user stories to find the data that we need to design our databases for. We'll even work through an example together. This is for DBAs who are involved in any part of designing databases, who want to practice how to come up with database designs, or who just another way to think about how they approach their database development in general.
Speaker(s): Deborah Melkin,
Abstract:
This session will start with performing a basic backup and restore of a database and then discuss the difference between FULL, Differential and Transaction backups. From there I will discuss many of the available options for backups, including backups of specific database files, to multiple files and different restore options. Many DBAs still setup their backups via a GUI and “fire and forget” and don’t think about backups and restores until too late. This session will show you while that works in many cases, for larger or more complex databases, or databases with specialized HA requirements, the out of the box solution may be far from optimal.
Speaker(s): Greg Moore,
Abstract:
Networking. You keep hearing that word throughout your career development, but you don't know much about it, much less, how to do it. You want to connect with technical and data professionals, so you attend events such as SQL Saturday and your local user group. But what about your book club, your gym, your church group, or your kid's soccer game? Those are prime -- and overlooked -- opportunities to network! In this interactive session, we will discuss networking -- what it is, why it's important, and where opportunities exist. You will even have an opportunity to practice networking within the confines of our room. You might even leave this session with new networking contacts that you didn't previously have!
Speaker(s): Ray Kim,
Abstract:
SQL Server Management Studio (SSMS) is now updated each month with the latest version of the SQL Client Tools. Which enabled rapid enhancement to Execution Plan. Do you know that you can now see how many pages are spilled to disk for a sort, as well as the memory statistics for the operator? Are you aware that you can see the top 10 waits for an execution and what trace flags were active during compilation and which ones influenced compilation? Have you ever analyzed a big plan and wish you could search for table name, index name or column name without opening XML plan? When you see a clustered index was used do you know for sure which statistics were used by the Query Optimizer to estimate the number of rows? In this demo intensive session, I will show you how to find and use new features introduced into SSMS and Showplan. You will walk out of this session equipped to make Query Performance Troubleshooting easier and ready to tackle those nasty, hard to solve query plans.
Speaker(s): Taiob Ali,
Abstract:
How often have you been told that an application is running "too slow"? This statement is the cause of a great deal of investigation, frustration, and dead-ends for database professionals. The problem won't always be a bad query, but when it is, knowing how to dive in, diagnose its performance, and resolve the situation efficiently will turn a potentially frustrating situation into a fun one! Using that knowledge in development to prevent future performance issues will improve script quality and application design, while making your future self less burdened by performance emergencies. This is an opportunity to identify common query mistakes and learn a variety of ways in which we can solve them. This discussion will include query rewrites, indexing, statistics, database design, monitoring, execution plans, and more! Demos of poor-performing queries will be provided to illustrate key optimization techniques, design considerations, and the tools you need to fix them. Fast.
Speaker(s): Edward Pollack,
Abstract:
Power BI Report Server is a superset of 2 exciting products: Power BI and SSRS 2017. PBIRS provides us a modern, on-premises solution for enterprise reporting and mobile business intelligence. In this session I will demonstrate how to develop and publish Power BI reports (.PBIX) in Power BI Report Server, including custom visuals. Then show you how to work with Mobile Reports, KPIs and Paginated reports. The new Mobile Report publisher produces stunning dashboards that can be viewed on any device (iOS, Android and Windows). Other enhancements include, show/hide download menu, report comments, custom placement of parameters, custom branding your SSRS portal's with your choice of colors and logo.
Speaker(s): Sunil Kadimdiwan,
Abstract:
Success of a good BI infrastructure is measured by two most important factors: a) Better access to data and b) Increased operational efficiency How can you set up your own BI infrastructure in the cloud to address these? What components do we consider? We can do that by proper selection of technology and vendors from Azure Market Place. How do we keep an eye on possible use of Big Data for your BI. We will also look at the best practices for doing so. We will take a fleeting look at some of the storage options for us in Azure and some Big Data concepts as well. We will learn about Copy Data Virtualization in Azure Market Place that can help you provision terabytes worth of information in matter of minutes. We will also learn about setting up teams and ways to train them(and yourself) in this fast evolving world of Azure.
Speaker(s): Paresh Motiwala,
Abstract:
Technical conferences generally have a paucity of women speakers. Many have none at all, some have a token woman, and most have a minority around the 10% mark. Only a very few conferences have a strong minority (>25%) of women speakers. Conferences with "soft" subject matter such as web design, user interfaces, or community management tend to have higher proportions of female speakers than those with "harder" subject matter. We’ve assembled a panel of presenters and women in tech to delve into the causes, solutions and provide tips for women or diversity of speakers at technical conferences. This session will be presented by Capital Region Women in Technology: https://www.meetup.com/CD-WiT/
Speaker(s): Vijaya Kokkili,
Abstract:
An estimated 2,000 new applications are released daily yet, the demand for new applications is increasing. Resulting in enterprises that lack sufficient resources to meet demand. Costly storage, compute and licenses required to maintain multiple copies of production databases are scarce. Delays in development cycles result as developers wait for DBAs, who in turn wait for storage administrators to provision the required space. The business suffers as project delays lead to deferred revenue or customer service impact. Actifio virtualizes production system data, delivering instant, non-disruptive access for application development and test without the need for additional storage. Virtually multiplying the output of a production environment, while simultaneously reducing costs. This session will provide an understanding of how to utilize Actifio for application development and test data automation to reduce application development cycle time, reduce costs and eliminate production impact.
Speaker(s): Andrew Cary,
Abstract:
With so many new technologies it can get confusing on the best approach to building a big data architecture. The data lake is a great new concept, usually built in Hadoop, but what exactly is it and how does it fit in? In this presentation I’ll discuss the four most common patterns in big data production implementations, the top-down vs bottoms-up approach to analytics, and how you can use a data lake and a RDBMS data warehouse together. We will go into detail on the characteristics of a data lake and its benefits, and how you still need to perform the same data governance tasks in a data lake as you do in a data warehouse. Come to this presentation to make sure your data lake does not turn into a data swamp!
Speaker(s): James Serra,
Abstract:
Azure Data Factory (ADF) has done some mileage since it's beginning in 2015. It has evolved and is now able to integrate your SSIS loads and do lots of work with your data in Azure. In this session, you will learn the new features of Azure Data Factory V2 and how SSIS packages can be triggered from it. This session will also introduce concepts like the modern data warehouse and what are the new challenges that comes with data integration both on-premise and cloud based.
Speaker(s): Christian Cote,
Abstract:
Do you know what your SQL Server environment looks like? Using PowerShell along with dbatools and PowerBI we will cover how to collect, store, and document this information. Finding a free and simple method to gather information about my SQL Server environment was difficult. Using a combination of PowerShell, the dbatools module, and a PowerBI report I finally found something that works for me. I hope it can be helpful for you as well.
Speaker(s): Matthew Anderson,
Abstract:
We are going to examine a variety of oopsies MANY developers fall prey too - some obvious, some pretty subtle and some down right sneaky! Lots of code examples with the bad AND good code presented. I GUARANTEE that you will find things here that will either prevent you from getting bad data, throwing unwanted errors or vastly improving your database application's performance. I have given this talk over 100 times now and it is always very highly rated!
Speaker(s): Kevin Boles,
Abstract:
SQL Server 2016 SP1 is probably one of the top 3 announcements for SQL Server ... EVER!! Many previously Enterprise Edition only features were opened up to lower SKUs, including SQL Express! Memory usage scenarios changed DRASTICALLY too! And SQL 2016 itself "Just Runs Faster"! This session will be a medium-to-high-level overview of these absolutely incredible changes. We will also talk about some of the awesomesauce released in SQL Server 2017 too! If you are like most entities and NOT on SQL Server Enterprise Edition you WILL want to be on SQL 2016 SP1 or 2017 after hearing this talk!
Speaker(s): Kevin Boles,
Abstract:
Five 10-minute sessions on a variety of topics: Bryan Cafferky: Cool PowerShell Tricks and Tips Paresh Motiwala: LinkedIn for Professional Success! Kevin Boles: Trouble With Triggers Alex Grinberg: SQL Server: XML and JSON technologies Michelle Gutzait: Performance Tuning
Speaker(s): Kevin Boles,
Abstract:
With the advent of the tabular model in SQL Server 2012, another analytical option has opened to the BI Specialist. We shall be looking at what critical factors should be analyzed prior to opting for the model and that done, how to extract data from a tabular model using Data Analysis Expressions (DAX). We shall discuss many of the often used functions, discuss their 'overloads' (utilizing several practical examples) and see how to turn the extracted data into valuable information that may be used by decision makers to help the enterprise achieve its corporate goals.
Speaker(s): Steve Simon,
Abstract:
This session is a compilation of extreme techniques I had to use over time to make very fast operations go a bit faster. It will cover multiple areas (indexing, table design, data access layer, schemas, object naming, datatypes, collations physical data placement and more. All examples given in this session are from real world cases of some of the most demaning workloads in the world.
Speaker(s): Thomas Grohser,
Abstract:
You have decided to migrate your on-premise SQL Server database to Microsoft Azure SQL Database and then realize you cannot restore a backup to Azure's Platform as a Service. Seriously!? In this talk, I will explain three different migration methods and demonstrate how they can be used to launch your database into the cloud.
Speaker(s): Derik Hammer,
Abstract:
So you've decided to take the leap into presenting. Maybe it's at your local user group, maybe it's at SQL Saturday. This talk will guide you through the process of selecting a topic, preparing for it and actually giving it. We'll talk about what can go wrong and how to handle that. We'll also talk about what can be done to prevent something from going wrong in the first place. What are some good guidelines to follow and when can, or even should, you break them. This will be partly interactive so come with questions and be prepared to be asked some.
Speaker(s): Greg Moore,
Abstract:
In this presentation we'll learn the basics of constructing a predictive model in the R programming language. We'll start by discussing visualizations that help us understand our data and then build and test a predictive model. Key points include selecting the model, training it, and evaluating the model's effectiveness. In the process, we'll learn about the R language and the popular integrated development environment RStudio. Find out what all the hype is about!
Speaker(s): Bryan Cafferky,
Abstract:
PCI-DSS, SOX, ISO, GDPR... What are the Cyber Standard regulation and how do we implement them in SQL Server? In this session I will cover the main security regulations and will discuss the security configuration required to comply with each one of them. The focus will be on the new GDPR standard.
Speaker(s): Michelle Gutzait,
Abstract:
On-premises data warehouse solutions are typically a large up-front capital expense which expensive boundaries to expansion. This led my organization to look to the cloud. In this session, I cover the basics of Azure SQL Data Warehouse, its architecture, and why you should be interested in combining the flexibility and scalability of the cloud with a massively parallel processing data warehouse.
Speaker(s): Derik Hammer,
Abstract:
This session will show a lot of things in the world of data that went very, very wrong... And yes you are welcome to have a laugh at the misfortune of other people (or as the german speaking population would call it: Let's have some "Schadenfreude"! After a log day, come in and have some fun before the evening event starts
Speaker(s): Thomas Grohser,
Abstract:
SQL Server does not support source safe control as the .NET application does. However, utilizing DDL trigger events makes it possible to capture when database users, ether one DBA or Developer, create, alter and drop the SQL Server objects. This session demonstrates the complete solution on how to set up SQL Server source safe control, log any changes and roll back to any historical point of changes.
Speaker(s): Alex Grinberg,
Abstract:
This is an open session where you may show up any time and ask any technical or professional questions of our panel of speakers. Ask the Experts is an opportunity to find answers and resources to address ongoing challenges, learn more about our speakers, and maybe stump them : )
Speaker(s): Bryan Cafferky,
Abstract:
This session is an introduction to tuning backups. Learn how to take those backup jobs to disk and change them from running for hours to running in minutes. We’ll be discussing the advantages disadvantages of using the following parameters: COMPRESSION, BUFFERCOUNT, MAXTRANSFERSIZE. We’ll also be covering the concept of striping database backups.
Speaker(s): Mike Hays,
Abstract:
How outsource administrative tasks to your end user groups in a safe, secure, and repeatable pattern. Now you no longer have to pause and stop what you are doing to create that new login, and replicate it to your Disaster Recovery. You do not have to stop and perform a backup/restore to refresh the development environment. Empower your end users, let them do this on their own without compromising your security. There will be a demo!
Speaker(s): Stephen Mokszycki,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/pub/bryancafferky
Contact: https://www.youtube.com/user/Bryancutube256123
Bryan Cafferky is a Big Data and AI consultant. Bryan was previously a Senior Data Science Training Content Developer for Microsoft Worldwide Learning. Prior to this he was a Microsoft Data and AI Enabler for healthcare customers. He is a Microsoft 2017 Data Platform MVP and a 2016 Cloud and Data Center Management MVP. Bryan is the author of Pro PowerShell for Database Developers by Apress, available on Amazon. He leads The RI Microsoft BI User Group, and The Greater Boston Area Data Science Group. He has been working with the SQL Server stack since 1997 and implemented projects in the banking, insurance, e-commerce, utility, and health care industries. He holds a bachelor of science in computer information systems and an MBA.
LinkedIn: https://www.linkedin.com/in/gregdmoore
Contact: https://blog.greenms.com
Greg Moore is a graduate of RPI. There, he majored in CompSci, but probably spent as much time hiking, canoeing, caving and rock-climbing as he did studying. He started working with SQL Server 4.21a in 1995 and has survived numerous upgrades. He's been a Director and later VP of IT at several startups including PowerOne Media, TownNews and Traffiq and now consults. These days, when he's not busy with playing with SQL Server or spending time with his family, he can often be found underground caving or teaching cave rescue with the NCRC. While his focus is on the operations side of DBA, his interests include DR, performance and general IT problem solving. He is the author of: IT Disaster Response: Lessons Learned in the Field.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
LinkedIn: https://www.linkedin.com/in/gregdmoore
Contact: https://blog.greenms.com
Greg Moore is a graduate of RPI. There, he majored in CompSci, but probably spent as much time hiking, canoeing, caving and rock-climbing as he did studying. He started working with SQL Server 4.21a in 1995 and has survived numerous upgrades. He's been a Director and later VP of IT at several startups including PowerOne Media, TownNews and Traffiq and now consults. These days, when he's not busy with playing with SQL Server or spending time with his family, he can often be found underground caving or teaching cave rescue with the NCRC. While his focus is on the operations side of DBA, his interests include DR, performance and general IT problem solving. He is the author of: IT Disaster Response: Lessons Learned in the Field.
LinkedIn: https://www.linkedin.com/in/minerjohn/
Contact: https://www.mssqltips.com/sqlserverauthor/154/john-miner/
John Miner is currently a Data Architect at BlueMetal advising corporations on how to solve their business needs with data platform solutions. He has over twenty five years of data processing experience, and his architecture expertise encompasses all phases of the software project life cycle, including design, development, implementation, and maintenance of systems. He has an undergraduate and graduate degrees in Computer Science from the University of Rhode Island. Other credentials include an up to date MCSE certificate and currently taking the Data Science program from EDX. Before joining BlueMetal, John won the Data Platform MVP award in 2014 and 2015 for his outstanding contributions to the SQL Server community.
LinkedIn: https://www.linkedin.com/profile/view?id=81593638
Contact: https://www.sqlshack.com/author/edward-pollack/
Ed Pollack has over 20 years of experience in database and systems administration, which has developed his passion for performance optimization, database design, and making things go faster. He has spoken at many SQLSaturdays, 24 Hours of PASS, and PASS Summit. This led him to organize SQLSaturday Albany, which has become an annual event for New York’s Capital Region. Sharing these experiences with the community is a top priority, and encouraging everyone to take the leap into public speaking and engaging others, a passion. In his free time, Ed enjoys video games, traveling, cooking exceptionally spicy foods, and hanging out with his amazing wife and sons.
LinkedIn: https://www.linkedin.com/in/sqlworldwide
Contact: http://www.sqlworldwide.com
Taiob Ali, MVP Data Platform, is an accomplished technical leader with a proven record of success. For 14 years, he has worked with the Microsoft Data Platform and MongoDB both on-premise and cloud. His experience includes all three major business sectors: finance, e-commerce, and healthcare. Taiob has hands-on experience in managing large database projects, massive data migration, intricate process design, testing and deployment, performance tuning, long term capacity planning. Taiob is currently working at “GMO LLC” as a Database Solution Manager, focusing on cloud migration, automation, improving, and streamlining operational workflow. He is a regular speaker at local and virtual PASS chapters, SQL Saturdays, and Azure conferences.
LinkedIn: http://linkedin.com/in/matthewandersonj
Matt is a new speaker and Microsoft SQL Server DBA with almost 10 years experience. He has managed databases for healthcare, manufacturing, and entertainment companies on traditional DBA teams and on BI teams.
Vijaya Kokkili is a QA Director at CommerceHub, where her team is responsible for the quality of CommerceHub#39;s external and internal applications. Building the automation from ground up at CommerceHub, she has stumbled upon every issue that you can think of, in the software testing and automation world. #39;Automation is a learning experience#39; is the philosophy she believes in.
LinkedIn: https://www.linkedin.com/in/thomasgrohser/
Thomas Grohser has spent most of the past 26+ years exploring the deeper inner workings of SQL Server and its features while working for entertainment, pharmaceutical, and financial services industries. His primary focus is to architect, plan, build, and operate reliable, highly available, secure, and scalable infrastructures for SQL Server. Over the years he has managed thousands of SQL Server instances, processing trillions of rows, taking up petabytes of storage. Thomas has been a Microsoft Data Platform MVP for 9 years and has spoken regularly at conferences, SQLSaturdays, and user groups for 12 years.
LinkedIn: https://www.linkedin.com/in/minerjohn/
Contact: https://www.mssqltips.com/sqlserverauthor/154/john-miner/
John Miner is currently a Data Architect at BlueMetal advising corporations on how to solve their business needs with data platform solutions. He has over twenty five years of data processing experience, and his architecture expertise encompasses all phases of the software project life cycle, including design, development, implementation, and maintenance of systems. He has an undergraduate and graduate degrees in Computer Science from the University of Rhode Island. Other credentials include an up to date MCSE certificate and currently taking the Data Science program from EDX. Before joining BlueMetal, John won the Data Platform MVP award in 2014 and 2015 for his outstanding contributions to the SQL Server community.
LinkedIn: https://www.linkedin.com/in/andrewfcary/
"insert bio when finished"
LinkedIn: https://www.linkedin.com/profile/view?id=2796867
Contact: http://Google me!
Involved in IT for more than 30 years as a developer, business analyst and database consultant. Worked exclusively with Microsoft SQL Server for the past 20+ years, consulting for many and diverse clients. Skills include everything related to SQL Server: infrastructure and database design, Performance tuning, security, High Availability, consolidation, Disaster Recovery, Cloud migrations and much more! Also active in the community as a speaker and a Blogger. One of the Organizers of the PASS Chapter in Montreal.
LinkedIn: http://www.linkedin.com/in/JamesSerra
Contact: http://www.JamesSerra.com
James Serra is a big data and data warehousing solution architect at Microsoft. He is a thought leader in the use and application of Big Data and advanced analytics. Previously, James was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 35 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker. He is the author of the book “Reporting with Microsoft SQL Server 2012”.
LinkedIn: https://www.linkedin.com/in/thomasgrohser/
Thomas Grohser has spent most of the past 26+ years exploring the deeper inner workings of SQL Server and its features while working for entertainment, pharmaceutical, and financial services industries. His primary focus is to architect, plan, build, and operate reliable, highly available, secure, and scalable infrastructures for SQL Server. Over the years he has managed thousands of SQL Server instances, processing trillions of rows, taking up petabytes of storage. Thomas has been a Microsoft Data Platform MVP for 9 years and has spoken regularly at conferences, SQLSaturdays, and user groups for 12 years.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
LinkedIn: https://www.linkedin.com/in/pianorayk
Contact: https://pianorayk.wordpress.com/
Ray Kim is an advocate for documentation and technical communication. He is a co-founder of the Albany, NY SQL group (CASSUG), a member of the AlbanyUX user group, and has spoken at numerous SQLSaturdays and at PASS Summit. He has worked various positions in technology, including as a developer, webmaster, analyst, technical writer, and instructor. He holds an MS in technical communication from Rensselaer Polytechnic Institute and a BS in computer science from Syracuse University. A musician in his spare time, Ray plays four different instruments. He also enjoys going to ball games and doing CrossFit, and is a two-time SQLServerCentral.com fantasy football champion. He lives in Troy, NY with his wife, Lianne, and their two cats.
LinkedIn: https://www.linkedin.com/in/mike-hays-21097419
Contact: http://www.thesqlreport.com/
Mike has been working with Microsoft SQL Server for the last twenty years. Currently working as a Database Administrator for a diversified energy company, he has also worked in the retail, manufacturing, banking sectors. He holds a Master’s degree in Computer Information Science from Cleveland State University.
LinkedIn: http://www.linkedin.com/in/JamesSerra
Contact: http://www.JamesSerra.com
James Serra is a big data and data warehousing solution architect at Microsoft. He is a thought leader in the use and application of Big Data and advanced analytics. Previously, James was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 35 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker. He is the author of the book “Reporting with Microsoft SQL Server 2012”.
LinkedIn: http://www.linkedin.com/in/pareshmotiwala
Paresh Motiwala a Azure/Big Data enthusiast, Manager of Database Platform teams has led several large SQL implementations, migrations and upgrades. He has managed multi terabyte OLTP databases. He has also been a Sr. SQL DBA and a Solutions Architect in Fortune 100 companies. He helps/organizes and speaks at many SQL Saturdays, Azure Bootcamp, Azure Datafests and User Groups(Boston BI UG, NESQL, PASS PD VG and PASS DBA VG). He is certified in Big Data Analytics, FinTech, PMP, Public Speaking, Business Communications. He is a avid singer, cook, open networker, and stand-up comedian. He teaches public speaking, debating, interviewing and group discussion skills and mentors children around the globe via www.circlesofgrowth.com
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
LinkedIn: https://www.linkedin.com/in/stephen-mokszycki-272b264a
<EMAIL_ADDRESS>DBA for ~4+years, IT Professional for 7.5 years. Currently I am a Data Architect Worked with SQL 2000/2005/2008/2012/2014 I’m currently working on a small environments: 5 instances, 60 databases, 1TB of data Previously I worked on a large environment: 300+ Instances, ~6000 databases, 10s TBs of data. Automation is my favorite tool.
LinkedIn: http://www.linkedin.com/in/stephenrsimon/
Contact: http://www.sqlservercentral.com/blogs/simon_says/
Steve Simon is a Database Solutions Architect with Business Knowledge Services Inc. He has been involved with database design and analysis for over 35 years. Steve has presented papers at numerous PASS Summits and PASS SQL Rallies. He is also regular presenter on the SQL Saturday circuit and he is a contributor on SQLShack.com
LinkedIn: https://www.linkedin.com/pub/bryancafferky
Contact: https://www.youtube.com/user/Bryancutube256123
Bryan Cafferky is a Big Data and AI consultant. Bryan was previously a Senior Data Science Training Content Developer for Microsoft Worldwide Learning. Prior to this he was a Microsoft Data and AI Enabler for healthcare customers. He is a Microsoft 2017 Data Platform MVP and a 2016 Cloud and Data Center Management MVP. Bryan is the author of Pro PowerShell for Database Developers by Apress, available on Amazon. He leads The RI Microsoft BI User Group, and The Greater Boston Area Data Science Group. He has been working with the SQL Server stack since 1997 and implemented projects in the banking, insurance, e-commerce, utility, and health care industries. He holds a bachelor of science in computer information systems and an MBA.
LinkedIn: https://www.linkedin.com/in/sunilkadimdiwan
Contact: http://www.infotrove.com/events.html
Sunil Kadimdiwan Sunil Kadimdiwan has 25+ years’ experience in architecting and implementing database solutions. He has deep knowledge of the Microsoft SQL Server and Business Intelligence technology stack. He is a frequent speaker at SQL Saturdays, Code Camps, User Group meetings
LinkedIn: http://www.linkedin.com/in/deborah-melkin-5ba4244
Contact: http://debthedba.wordpress.com
Deborah Melkin has been working as a database professional with SQL Server for almost 20 years. She spends her days helping programmers with all aspects of database design, queries, performance, and deployment. In 2016, she began her blog, Deb the DBA. Soon after that, she began speaking at SQL Saturdays and user groups. Deborah is a board member of the New England SQL Server User group (NESQL) and was recently named as an IDERA ACE Class of 2020. She also won Speaker Idol at PASS Summit 2019. In her spare time, Deborah can usually be found doing something musical.
LinkedIn: https://ca.linkedin.com/in/ccote
Contact: http://bi-blogger.typepad.com/
Christian Coté is an IT professional with more than 15 years of experience working in data warehouse and business intelligence projects. Christian developed an expertise in data warehousing over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter in Montreal as well as Global French SQL PASS Chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).
LinkedIn: https://www.linkedin.com/in/sqlhammer
Contact: http://www.sqlhammer.com
I am currently working as a Database Operations Team Lead with Subway World Headquarters. Server configuration, architecture, disaster recovery, high-availability, performance tuning, and maintenance automation form the bulk of my responsibilities. Almost all of my previous experience has resided firmly in the traditional / production DBA realm. I also spend as much time as I can spare attending SQL Server community functions. Currently chapter leader for FairfieldPASS.
LinkedIn: https://www.linkedin.com/in/sqlhammer
Contact: http://www.sqlhammer.com
I am currently working as a Database Operations Team Lead with Subway World Headquarters. Server configuration, architecture, disaster recovery, high-availability, performance tuning, and maintenance automation form the bulk of my responsibilities. Almost all of my previous experience has resided firmly in the traditional / production DBA realm. I also spend as much time as I can spare attending SQL Server community functions. Currently chapter leader for FairfieldPASS.
LinkedIn: http://www.linkedin.com/in/stephenrsimon/
Contact: http://www.sqlservercentral.com/blogs/simon_says/
Steve Simon is a Database Solutions Architect with Business Knowledge Services Inc. He has been involved with database design and analysis for over 35 years. Steve has presented papers at numerous PASS Summits and PASS SQL Rallies. He is also regular presenter on the SQL Saturday circuit and he is a contributor on SQLShack.com
LinkedIn: https://www.linkedin.com/in/alex-grinberg-36773a6/
I have more than 20 years of IT experience. My primary focus is with the latest Microsoft technologies including .NET (VB and C#), SSRS and SSIS. I provide services in tuning, optimization, analysis and development for the creation of new applications, converting legacy technologies (SQL Server, VB.NET and C# ) and site training. I have worked for CSC, VerticalNet, IDP, LSAC , and TMNAS (to name a few) and I am currently employed with Cox Automotive. I am Apress author book "XML and JSON Recipes for SQL Server", also wrote number of articles for Simple-Talk and SQLServerCentral.com
The following is a list of sponsors that helped fund the event.


Video: Climate Change Protesters Storm Field at Halftime of Harvard-Yale Football Game
NEW HAVEN, Conn. (AP) — The 136th edition of The Game between Harvard and Yale has been delayed at halftime after protesters took over the field.
by Breitbart NewsStudents from both schools occupied midfield after the Yale band had finished performing. Some held banners asking their colleges to act on climate change and Puerto Rican debt relief.
“Hey hey, ho ho, fossil fuels have got to go,” some protesters chanted.
After a few minutes, hundreds more people stream onto the field. A public address announcement asked them to leave “as a courtesy to the players.”
“As a courtesy to both teams, the game must resume.”
Police were on standby.
With Yale hoping to clinch an Ivy League title, Harvard led 15-3 at halftime.


| MPI_FILE_OPEN(comm, filename, amode, info, fh) | |
| IN comm | communicator (handle) |
| IN filename | name of file to open (string) |
| IN amode | file access mode (integer) |
| IN info | info object (handle) |
| OUT fh | new file handle (handle) |
int MPI_File_open(MPI_Comm comm, char *filename, int amode, MPI_Info info, MPI_File *fh)
MPI_FILE_OPEN opens the file identified by the file name
filename on all processes in the comm communicator group.
MPI_FILE_OPEN is a collective routine:
all processes must provide the same value for amode,
and all processes must provide filenames that
reference the same file.
(Values for info may vary.)
comm must be an intracommunicator;
it is erroneous to pass an intercommunicator to MPI_FILE_OPEN.
Errors in MPI_FILE_OPEN are raised
using the default file error handler
(see Section I/O Error Handling
, page I/O Error Handling
).
A process can open a file independently of other processes
by using the MPI_COMM_SELF communicator.
The file handle returned, fh,
can be subsequently used to access the file until the file is
closed using MPI_FILE_CLOSE.
Before calling MPI_FINALIZE,
the user is required to close (via MPI_FILE_CLOSE)
all files that were opened with MPI_FILE_OPEN.
Note that the communicator comm is unaffected by MPI_FILE_OPEN
and continues to be usable in all MPI routines (e.g., MPI_SEND).
Furthermore, the use of comm will not interfere with I/O behavior.
The format for specifying the file name in the filename
argument is implementation dependent
and must be documented by the implementation.
An implementation may require that filename include
a string or strings specifying additional information about the file.
Examples include the type of filesystem (e.g., a prefix of ufs:),
a remote hostname (e.g., a prefix of machine.univ.edu:),
or a file password (e.g., a suffix of /PASSWORD=SECRET).
( End of advice to implementors.)
On some implementations of MPI,
the file namespace may not be identical from all processes of all applications.
For example,
``/tmp/foo'' may denote different files on different processes,
or a single file may have many names, dependent on process location.
The user is responsible for ensuring that a single file
is referenced by the filename argument,
as it may be impossible for an implementation to detect
this type of namespace error.
( End of advice to users.)
The following access modes are supported
(specified in amode, a bit vector OR of the following
integer constants):
C/C++ users can use bit vector OR (
) to combine these constants;
Fortran 90 users can use the bit vector IOR intrinsic.
Fortran 77 users can use (nonportably) bit vector IOR
on systems that support it.
Alternatively,
Fortran users can portably use integer addition to OR the constants
(each constant should appear at most once in the addition.).
( End of advice to users.)
The values of these constants must be defined such that
the bitwise OR and the sum of any distinct set
of these constants is equivalent.
( End of advice to implementors.)
The MPI_MODE_DELETE_ON_CLOSE mode causes the file to be deleted
(equivalent to performing an MPI_FILE_DELETE)
when the file is closed.
The MPI_MODE_UNIQUE_OPEN mode allows an implementation to
optimize access by eliminating the overhead of file locking.
It is erroneous to open a file in this mode unless the file will
not be concurrently opened elsewhere.
For MPI_MODE_UNIQUE_OPEN, not opened elsewhere includes
both inside and outside the MPI environment.
In particular, one needs to be aware of potential external events
which may open files (e.g., automated backup facilities).
When MPI_MODE_UNIQUE_OPEN is specified,
the user is responsible for ensuring that no such external events take place.
( End of advice to users.)
Specifying MPI_MODE_APPEND only guarantees that all shared and individual
file pointers are positioned at the initial end of file when MPI_FILE_OPEN
returns.
Subsequent positioning of file pointers is application dependent.
In particular, the implementation does not ensure that all writes are
appended.
Errors related to the access mode are raised
in the class MPI_ERR_AMODE.
The info argument is used to provide information
regarding file access patterns and file system specifics
(see Section File Info
, page File Info
).
The constant MPI_INFO_NULL
can be used when no info needs to be specified.
Some file attributes are inherently implementation dependent
(e.g., file permissions).
These attributes must be set using either
the info argument or facilities outside the scope of MPI.
( End of advice to users.)
MPI_FILE_OPEN(COMM, FILENAME, AMODE, INFO, FH, IERROR)
CHARACTER*(*) FILENAME
INTEGER COMM, AMODE, INFO, FH, IERROR
{ static MPI::File MPI::File::Open(const MPI::Intracomm& comm, const char* filename, int amode, const MPI::Info& info) (binding deprecated, see Section Deprecated since MPI-2.2
) }
Advice
to implementors.
Advice to users.
Initially, all processes view the file as a linear byte stream,
and each process views data in its own native representation
(no data representation conversion is performed).
(POSIX files are linear byte streams in the native representation.)
The file view can be changed
via the MPI_FILE_SET_VIEW routine.
Advice to users.
Advice
to implementors.
The modes MPI_MODE_RDONLY, MPI_MODE_RDWR,
MPI_MODE_WRONLY,
MPI_MODE_CREATE, and MPI_MODE_EXCL have identical semantics
to their POSIX counterparts [29].
Exactly one of MPI_MODE_RDONLY, MPI_MODE_RDWR,
or MPI_MODE_WRONLY,
must be specified.
It is erroneous to specify MPI_MODE_CREATE
or MPI_MODE_EXCL
in conjunction with MPI_MODE_RDONLY;
it is erroneous to specify MPI_MODE_SEQUENTIAL
together with MPI_MODE_RDWR.
Advice to users.
The MPI_MODE_SEQUENTIAL mode allows an implementation to
optimize access to some sequential devices (tapes and network streams).
It is erroneous to attempt nonsequential access to a
file that has been opened in this mode.
Advice to users.
Files are opened by default using nonatomic mode file consistency semantics
(see Section File Consistency
,
page File Consistency
).
The more stringent atomic mode consistency semantics,
required for atomicity of conflicting accesses,
can be set using MPI_FILE_SET_ATOMICITY.
Up: File Manipulation
Next: Closing a File
Previous: File Manipulation
Return to MPI-2.2 Standard Index
Return to MPI Forum Home Page
(Unofficial) MPI-2.2 of September 4, 2009
HTML Generated on September 10, 2009


--- date: 2016-07-10T16:30:13+08:00 title: 'Documentation' weight: 10 ---
Find out more on https://guangchuangyu.github.io/tags/clusterprofiler.


In the context of a web application what would you consider a Go best practice for accessing the database in (HTTP or other) handlers?
The replies it got were a genuinely interesting mix. Some people advised using dependency injection, a few espoused the simplicity of using global variables, others suggested putting the connection pool pointer into x/net/context.
Me? I think the right answer depends on the project.
What's the overall structure and size of the project? What's your approach to testing? How is it likely to grow in the future? All these things and more should play a part when you pick an approach to take.
So in this post I'll take a look at four different methods for organising your code and structuring access to your database connection pool.
Global variables
The first approach we'll look at is a common and straightforward one – putting the pointer to your database connection pool in a global variable.
To keep code nice and DRY, you'll sometimes see this combined with an initialisation function that allows the connection pool global to be set from other packages and tests.
I like concrete examples, so let's carry on working with the online bookstore database and code from my previous post. We'll create a simple application with an MVC-like structure – with the HTTP handlers in main and a models package containing a global DB variable, InitDB() function, and our database logic.
If you run the application and make a request to /books you should get a response similar to:
Using a global variable like this is potentially a good fit if:
All your database logic is contained in the same package.

Your approach to testing means that you don't need to mock the database or run tests in parallel.
For the example above using a global works just fine. But what happens in more complicated applications where database logic is spread over multiple packages?
One option is to have multiple InitDB calls, but that can quickly become cluttersome and I've personally found it a bit flaky (it's easy to forget to initialise a connection pool and get nil-pointer panics at runtime). A second option is to create a separate config package with an exported DB variable and import "yourproject/config" into every file that needs it. Just in case it isn't immediately understandable what I mean, I've included a simple example in this gist.
Dependency injection
The second approach we'll look at is dependency injection. In our example, we want to explicitly pass a connection pool pointer to our HTTP handlers and then onward to our database logic.
In a real-world application there are probably extra application-level (and concurrency-safe) items that you want your handlers to have access to. Things like pointers to your logger or template cache, as well as the database connection pool.
So for projects where all your handlers are in the same package, a neat approach is to put these items into a custom Env type:
… and then define your handlers as methods against Env. This provides a clean and idiomatic way of making the connection pool (and potentially other items) available to your handlers. Here's a full example:
Or using a closure…
If you don't want to define your handlers as methods on Env an alternative approach is to put your handler logic into a closure and close over the Env variable like so:
Dependency injection in this way is quite a nice approach when:
All your handlers are contained in the same package.
There is a common set of dependencies that each of your handlers need.
Your approach to testing means that you don't need to mock the database or run tests in parallel.
Again, you could still use this general approach if your handlers and database logic are spread across multiple packages. One way to achieve this would be to setup a separate config package exporting the Env type and close overconfig.Env in the same way as the example above. Here's a basic gist.
Using an interface
We can take this dependency injection example a little further. Let's change the models package so that it exports a custom DB type (which embeds *sql.DB) and implement our database logic as methods against the DB type.
The advantages of this are twofold: first it gives our code a really clean structure, but – more importantly – it also opens up the potential to mock our database for unit testing.
Let's amend the example to include a new Datastore interface, which implements exactly the same methods as our new DB type.
We can then use this interface instead of the direct DB type throughout our application. Here's the updated example:
Because our handlers are now using the Datastore interface we can easily create mock database responses for any unit tests:
Request-scoped context
Finally let's look at using request-scoped context to store and pass around the database connection pool. Specifically, we'll make use of the x/net/context package.
Personally I'm not a fan of storing application-level variables in request-scoped context – it feels clunky and burdensome to me. The x/net/context documentation kinda advises against it too:
Use context Values only for request-scoped data that transits processes and APIs, not for passing optional parameters to functions.
That said, people do use this approach. And if your project consists of a sprawling set of packages – and using a global config is out of the question – it's quite an attractive proposition.
Let's adapt the bookstore example one last time, passing context.Context to our handlers using the pattern suggested in this excellent article by Joe Shaw.


{% extends "index.html" %} {% block body %}
{%- include "release.html" %}
You can install ProDy and Evol using
pip,
pip install -U ProDy
.
Please note that you may have to manually remove previous versions (<1.10.3) of
ProDy first.
If you have pip, you can simply install ProDy as follows:
$ pip install prody
If you don't, you can manually download and extract tarball contents from PyPI website and run setup.py as follows:
$ tar -xzf ProDy-{{ version }}.tar.gz $ cd ProDy-{{ version }} $ python setup.py build $ python setup.py installIf you need root access for installation, try ``sudo python setup.py install``. If you don’t have root access, see alternate installation schemes in Installing Python Modules.
Since version 1.10.3, ProDy does not provide a binary installer anymore. Instead, please install ProDy through pip:
$ pip install prody


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This is a proof that the static webserver works :)
Add your files and serve!
Hit a buzzer and you will see the messages below.
Either a hardware buzzer or you connect via telnet (on the configured port) to the software buzzer emulation (see README.md for detailed instructions).


PLOT: The world's most "private" detective Daryl Zero is hired by a rich man named Stark, to find his lost keys to a security box which contains information that could be used against him, and to figure out the identity of the person who is also blackmailing him. Zero's faithful assistant, Arlo, acts as the middleman between the two men, since dick Zero does not believe in meeting his clients. Let the unraveling begin.
CRITIQUE: Quirky, original, but ultimately overlong and not so interesting tale of the self-proclaimed "world's greatest private investigator." Bill Pullman has never really excited me in any of his works (even my favourite film of 1997, LOST HIGHWAY (8.5/10)), and continues to do his humdrum work in this "trying to be hip" crime film, that never really grabs a hold of anyone or anything. The film's premise is certainly very cute, with the detective not wanting to meet any of his clients, and being some sort of an acutely sensitive psycho-analyst who could tell almost everything about a person after meeting them for only thirty seconds.
But ultimately, the film's plot and execution never really generate enough drama, interest or zing to keep the film enjoyable at any level. It seemed like a quirky film at times, a crime drama at others, and ultimately degenerated into some half-assed romantic crime tale, which didn't seem to know which end was up anymore. There were some original points in the script, and even some clever moments about the detective, his methods and motivations, but not enough to constitute anything close to a successful movie.
Even Ben Stiller seemed wasted in his underplayed role of the assistant who was torn between his love and his job. On top of everything, the film packed it in a little under the two-hour mark, without justifying at least thirty minutes of that lengthy total. In the end, I believe that your enjoyment of this film will be strongly correlated to your appreciation of the work of Bill Pullman, your desire to see experimental films that may quirk your interest, and the unimportance of the money that you are willing to invest in this video pick. If all three traffic lights seem green to you, then please go ahead and watch this movie and try to enjoy your time on board. If your interest is not peaked by my guidelines, then I suggest you go out and rent the ultimate hip, quirky, crime film: RESERVOIR DOGS (9/10), by Quentin Tarantino, and have a blast!
Little Known Facts: Bill Pullman made his big screen debut in the Danny DeVito / Bette Midler comedy RUTHLESS PEOPLE (7.5/10) in 1986 and followed that with two lead roles in SPACEBALLS (8/10) and THE SERPENT AND THE RAINBOW. Pullman has a Master of Arts in theater studies, and while teaching at Montana State University, one of his students was director John Dahl, who subsequently gave him a role in his 1994 film THE LAST SEDUCTION (7.5/10). Ryan O'Neal is the father of actress Tatum O'Neal, who was once married to tennis great John McEnroe.
Review Date: August 2, 1998 Director: Jake Kasdan Writer: Jake Kasdan Producers: Lisa Henson, Janet Yang, Jake Kasdan Actors: Bill Pullman as Daryl Zero Ben Stiller as Steve Arlo Ryan O'Neal as Gregory Stark Genre: Crime Year of Release: 1998
Visit JoBlo's Movie Emporium http://surf.to/joblo
(c) 1998 Berge Garabedian
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Related links: index of all rec.arts.movies.reviews reviews


The Birthday Calculator can be used to calculate the day of the week when a user was born.
The user is required to enter his day, month, year of birth, and gender through a form then click the submit button to find out the user's Akan name.
Akan names are Ghanaian names given during birth according to the day of the week a child is born and are also given according to the gender of the born child.


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