6.7 Queue Example: Event
Handling
One popular application of queues is
handling events in event-driven applications. Event-driven
applications execute largely under the direction of real-time
occurrences called events. In a graphical user interface developed
in Java, X,
or Windows, for example, the behavior of an application
depends a great deal on key presses, mouse movements, and
other events triggered by the user. Other examples of
event-driven applications occur frequently in control systems
such as those found in aircraft or factory equipment.
In nearly all event-driven applications, events can occur at any moment, so
queues play an important role in storing events until an
application is ready to deal with them. A queue works well for
this because applications handle events more or less in the
same order as they occur.
Example
6.5 presents two functions for handling events: receive_event and process_event. Both functions operate on a queue
containing events of type Event.
Event is defined in event.h, which is
not shown. An application calls receive_event to enqueue an event it has been
notified about. Exactly how an application is notified of an
event varies, but notification often begins with a hardware
interrupt. When the application decides it is time to process
an event, it calls process_event. Inside of process_event, an event is dequeued
from the event queue and is passed to an application-specific
dispatch function. The dispatch
function is passed to process_event as the parameter
dispatch. The purpose of the dispatch function
is to take the appropriate action to handle the event. There
are two approaches dispatch can take to do
this: it can process the event synchronously, so that no other
processing is performed until handling the event is completed;
or it can process the event asynchronously, in which case it
starts a separate process to handle the event while the main
process moves on. Asynchronous event handling usually is more
efficient, but it requires particularly careful coordination
between the main and subordinate processes.
The runtime complexity of receive_event is O (1) because it simply calls the
O (1) queue operation queue_enqueue. The runtime complexity
of process_event depends on the
dispatch function it invokes. The rest of process_event runs in a constant
amount of time.
Example 6.5.
Implementation of Functions for Handling Events /*****************************************************************************
* *
* ------------------------------- events.c ------------------------------- *
* *
*****************************************************************************/
#include <stdlib.h>
#include <string.h>
#include "event.h"
#include "events.h"
#include "queue.h"
/*****************************************************************************
* *
* ---------------------------- receive_event ----------------------------- *
* *
*****************************************************************************/
int receive_event(Queue *events, const Event *event) {
Event *new_event;
/*****************************************************************************
* *
* Allocate space for the event. *
* *
*****************************************************************************/
if ((new_event = (Event *)malloc(sizeof(Event))) == NULL)
return -1;
/*****************************************************************************
* *
* Make a copy of the event and enqueue it. *
* *
*****************************************************************************/
memcpy(new_event, event, sizeof(Event));
if (queue_enqueue(events, new_event) != 0)
return -1;
return 0;
}
/*****************************************************************************
* *
* ---------------------------- process_event ----------------------------- *
* *
*****************************************************************************/
int process_event(Queue *events, int (*dispatch)(Event *event)) {
Event *event;
if (queue_size(events) == 0)
/**************************************************************************
* *
* Return that there are no events to dispatch. *
* *
**************************************************************************/
return -1;
else {
if (queue_dequeue(events, (void **)&event) != 0)
/***********************************************************************
* *
* Return that an event could not be retrieved. *
* *
***********************************************************************/
return -1;
else {
/***********************************************************************
* *
* Call a user-defined function to dispatch the event. *
* *
***********************************************************************/
dispatch(event);
free(event);
}
}
return 0;
}
|


June 14, 2015
Pitching to
{{pa.pitcher.pl_fName + ' ' + pa.pitcher.pl_lName}}
pitching to
{{pa.batter.pl_fName + ' ' + pa.batter.pl_lName}}
{{pa.side}} of the {{pa.inning | ordinal}}
Astros {{pa.home_team_runs}}, Mariners {{pa.away_team_runs}}
{{p.balls}}-{{p.strikes}}, {{pa.outs}} {{pa.outs == 1 ? 'out' : 'outs'}}
{{pa.side}} of the {{pa.inning | ordinal}}
Astros {{pa.home_team_runs}}, Mariners {{pa.away_team_runs}}
{{p.balls}}-{{p.strikes}}, {{pa.outs}} {{pa.outs == 1 ? 'out' : 'outs'}}
{{p.result.description}}
{{pa.description}}


My initial thoughts on the demos was something like, "gee wiz, this class is awesome!" The first thing I went to was the HTC Vive. The Vive is really cool because it tracks all of your movement based on two hands and a headset. And then all the extrapolated data that comes with it: wingspan, height, shoulder distance, and other areas of measurement. It was a fun experience and I understand why people would fall down while trying to navigate through Google Earth. It feels like you are in a different space and that the you have a lot of control of what your seeing through the Vive. There is not that much that is holding you back from flying around the world; it all comes down to imagination and how you use it to navigate through a virtual world.
To Compare the Google Earth VR and the Circus Games VR, they both use the controls in different ways. The Google Earth VR uses the hand controls to navigate around the map, whereas the Circus Games uses it to actually be your hands in virtual space. It is some weird emulation that is being occured to allow someone to think that their physics hands are actually being used in virtual space like that. It kind of gives a sense of a false reality. Some negative to come from that would be that the user would actually choose to stay in virtual space rather than in reality. There are a lot of movies that have the idea of being "plugged in", and I think that that is becoming more and more prominent in the reality that we live in right now with all the new technologies that allow people to feel like that.
But moving from VR, I want to talk about the AR. The HoloLens is really bringing reality in virtual world. The game that we played, some space alien shooter game, was a cool way to integrate the real world with a virtual world. I am not sure why but it felt like it was the norm of how people should live. Having something be augmented over the real world, visually, can become very handy in more than one case. For construction workers to be able to see what they are working with or if they need to take things apart, they can see that in augmented reality before acually doing something. Something like this would be good in the medical field to show a body while in surgery to make better educated decisions on where to have the surgery.
Moving on from AR and VR, I played with the SAGE2 Wall and the Cave 2. Both of them are very unique in their own way and they provide ways of visualizing things that were previously very difficult to view. In the Cave, we were shown a demo about the the inside of the brain with the connections. We were able to move in close and view the different directions of connections that were in the brain. That is very useful in the medical field. They can teach classes in different ways. Before, students would have to imagine what the demos would look like, but being inside of an environment where the users can see, in real time, the brain and see what they are learning. I was also shown that a team from NASA was in the Cave and they were testing out a robot probe that would send signals out and map the bottom of the ocean. That is a very unique thing to be able to visualize in a space that is all around you rather than just in a small rectangle that is infront of your face.
To talk more about the SAGE wall, in a classroom, that is phenominal. It really helps students be able to see what a professor is talking about and be able to see up close what is happening. Having such a big screen to display a lot of information to the students all at once gives a student time to digest the information and be able to know what they are learning at a faster rate. For me personally, if I can see a big set of information and be able to work through it whilst the professor is talking about it, it gives me a chance to test myself as well as learn from the professor if I do not understand. Its different than having to go from one slide to another because I do not see the whole picture. If I can see more of what I am learning at once, then I can understand why I am learning something and how it applies.
All in all, the demos really showed me some cool things about what modern technology can do and what it can improve on. I like the fact that a user can visually be somewhere else while their body is here. Its a unique experience to be able to emulate and visually show. Pros I can see that the Cave2 Or SAGE2 being used in education based situations. Where you have a class and the professor is trying to demo a lot of things, or show a lot of information to students. The cons would be that the students would have a lot of information inf the professor did not manage the space properly. The professor could display the entire day's course work and work through it around the room. The Cave could be used in a similar way to enable students to be able to interact with the information that the professor is giving to their students. Pros of AR and VR is that AR could be used to visualize before doing anything. Being able to see diagnostics information before and whie doing surgery would enable the doctor to do more precise work and be able to adjust his or her surgery to accomodate to the patient. For a car repair shop, be able to display a broken down version of an engine and see the part that is not working properly and repair it properly without wasting extra time. Cons would be a world where everything is virtual. There would be less and less human interaction and more and more virtual interaction. Losing the human sense of life and enabling and more robotic sense of life.
What an interesting comparison: to compare AR in HoloLens vs phone. I think that the idea of the comparison is actually pretty cool. Using AR on the phone to test the Google Translate feature on the phone proved to not be the best thing. As you can see, it is not perfect. It could be because the Korean translate feature is difficult to work with, but to show another example of Google translate: . As you can see, the Korean translate on Google Translate is not really working. I am not sure why it does not work, but as you can see, the translate is not that fluid, or even working.
Now, I have not tested AR translate within a HoloLens, but I would assume it would work a little bit similar but also completely different. How it would be similar, is that AR in glasses are hard to portray in a neat manner. You would either have to show the translation over the words or next to the words that is being translated. There area that makes me most concerened about having translation in AR is that it would definitely obscure the view of the user as the user would have to read the translations of the words as well as the area around the user.
Some benifits of AR in glasses though, is that it can display translation while some one is speaking. That would be really difficult to do on a phone device because the user would have to look at the phone device while getting the translations of the speaker. It is much easier to do that on a HoloLens because the HoloLens enables the user to get direct translations from the speaker that is infront of the user. I think that that would be a really useful tool for people who are traveling and for those who are on either medical missions or out on the field for combat or something.
Overall, I think that AR in a headset and AR in a phone are different in their own ways. I think that the AR in a headset is good in the fact that it allows for hands-free usage and allows for a more immersive experience. The phone is good if there is something fast that needs to be augmented. The phone can be used for other things but it is limited to what it provides. The AR experience can help in many ways but between the two things that are available currently, the experience is quite limited.
This project was a very well made project. The interactions with the items are very good and it seems as though almost every object that is able to be picked up within the VR. The interaction with some items, like the coffee maker, is well made and it interacts with the remote quite well. There is not really a glich that can happen with the coffee maker, being where you touch it with the remote, but more of a possible interaction with a standard coffee maker. It would be really cool if some physical liquid flowed out of it to show a more realistic version, but that might be too much to do in the amount of knowledge we have right now. I also liked their building of the bathroom. They used the interactions and sounds well. The biggest thing about that was that they knew that their knowledge was limited to being able to interact with objects with wither a grab or a collider and used their knowledge to be able to use colliders to interact with the sink and made it motion sensing . It was unique from other groups because they addressed the problem that they had, with the current limitations of controls, and used it to their advantage.
The ambiance of the room is also very pleasant. The lighting was nice and full and it did not feel as though there was actualy false lighting. The sound that played along with the room was just as much an ambiant room sound rather than something that seemed out of place. The sounds that were activated by triggers were also well placed and seemed as though they belonged to the object. As I was saying before, the interactions were well placed and seemed as though they knew their limitations and they used it well.
Some other VR tools that they used well was that they were able to get teleportation to work with the controls. Many groups were not able to do that and it made watching their presentation very nausiating, especially when the presenter would turn around quickly. The frame rate for this group was a little slow. I think that this group probably did a little bit of optimization either with the objects that they were using or by reducing the size of the current 3D model of the EVL. Their scaling for objects is also much to scale. It is visible that the scaling was made to work with the physical representation of the objects that they have used. The way that they used the drone and provided different physics for the drone because the blades were on. It's a cool experience to see that people knew how to change physics and play around with different settings of tools provided by Unity.
This project was also well made. There were able to implement many of the same features as Group 3, being controller interaction with colliders, teleportation, good sound effects, good lighting, and good ambient sounds. This group also did a good job on creating physics for a majority of the objcts that were present. They made it so most items that would have physics in the real world, would be portrayed in a similar fashion in the virtual world. I think that this team did a good job on interactions of objects and everything seemed to be of scale to be shown as proper.
I enjoyed that they were able to do basketball and skee ball. It's a good use of physics albeit the skee ball was a little iffy with the colliders. As stated previously, the had a good amount of items with physics on them. Another cool item with physics on them was their file cabinet. They were able to play with each individual drawer and put them back accordingly. They also had some weapons with physics on them, which seemed as though they added a heaver gravity force to it to be realistic in the sense that metal weapons would have a stronger graviational pull to it because of the mass. It would have been really cool if they made it so that things had cloth physics and could be cut up, but based on the time, I'm sure they could have done that if they had more time.
Some other things was the adjustable light that they had added. Providing a different feel for the interaction of the room. It's not really realistic, but it was a nice feature to have regardless. I also liked how there were targeted areas with their own lights and then there was the ambient lighting of the room. There was a lamp that casted proper shadows, obviously using the added Unity tools, but it was nice to see that they had added the proper tools to their objects to be able to do that well. They also have a light on the desk that was a targeted light. it was unique because, again, they have targeted lights that work as expected. They would focus the lights on the direction of actual travel.
Something like the augmented reality experience with this shows that companies are trying to get users to view furnature before someone buys. It's a unique experience that I can try and see what works in a place before I go out and buy it. Seeing from my picture you can see that this is a perfect example of being able to see the position of a potential small table that I can add to my room. It fits nicely but it is slightly slanted, or it just might be me seeing it at a weird angle like that. But it does fit in very nicely. But yes, from here I can see where I can place a table as such and see what I could do with it. I might use it as a place to hold my keys, or with the season of Holloween, a place to put the candy that I will be giving out during the holiday. At least from this app, I can get an accurate idea of what its for.
But another thing that this app has shown, is that the app can be quite the goofball. As you can see in this here picture , there is something that is quite off of the placement of the bed.  Yes, it is a strange thing to see, but that is the power of augmented reality! You can take any space and turn it in to whatever you want! It is a very odd thing to be able to do that, but for an app to track the ground that is outside, it is pretty nice. Everything is tracked pretty well, so it seems realistic in a sense that it is well tracked.
These are my two pictures from the SkyView app. Based on these shots, the Moon and Jupiter are very close together... except in reality, they are very, very far apart. I think one thing that this app is missing is relative distances between the user, the different locations, etc. As an improvement, that would be one thing to reconsider for making an app like that.  With the question that you proposed, 'What is that?', this app would help point out what is in the sky in that location! Today, according to Facebook, there is a meteor shower called Orionid Meteor Shower. Being able to see that through an app that is connected to a camera that is tracking the meteor shower would also be a really cool. Being able to see a meteor shower from your phone because you can't make it out to go see the meteor shower in person, is a neat feature. Plus, just being able to track the meteor shower from your phone to know when to go out and prepare your cameras and what not, is also a cool idea.
The app also provides a basic understanding of constilations. It shows the basic path of the planets that are circulating around your current location. That is really helpful in trying to understand the galaxy around you. It also is a cool feature to show off when you're hanging out with your friends and want to show something cool about constilations and things around you that are thousands of miles away.
I am familiar with the product that was presented in class, the Omni. I found out about it during their Kickstarter campaign. If I wasn't broke and could afford both the Omni as well as any VR headset, then I would have totally gone for it. I agree with what was said about it, it is not the most fluid of technologies, hence why they stopped their production of it, but it was still a cool idea. To go deeper into this, I think that the application of this tool allows for many unique ideas for games to come out. This allows for a more realistic sense of movement as well as giving the user a small play area while still feeling like there is infinite space to play with. The product itself also seemed a little advanced for its time: the way that they handled the infinite movement space by having the play area be a concave dish and the shoes had magnets to enable a fluid movement within the shoes and the play area. Meaning that if you ever wanted to use it, you would have to get the special shoes for every time you play.
Aside from that though, the product targets a very niche market. Not many people want to play a game where their physical movements actually determine the outcome of the game, but there is still the other group that does. For those that do not, it is difficult to sell them on this product. But, for the other side, it could be easy to get them to use this. It provides a physical sense of movement; on the website of the presenter, there is a one game that was played, Skyrim. That game has a unique system where it is known for its immersive RPG elements. Having an additional element of physical walking and running would easily tire someone out because of the big, open world that the game was made in. On top of that, even if you did want to play with the Omni for native VR games, it could also be difficult.
From personal experience, I have played with a game called Holopoint, a game that tracks physical movement based from the headset and the remotes to guess where the body is at. But the game requires physical movement to dodge the incoming objects, many other games do this as well such as Space Pirate Trainer. From looking at the Omni, it does not seem like you could bend over or crouch as much as an open floor.
With the presentation of this product, the first thing I thought about was how expensive this setup would be. I have known about RED Dragon cameras through some film knowledge that I have obtained through hours and hours on YouTube, and the cameras are really expensive to initially buy, the accessories are also really expensive, and to maintain it and keep it up to date is slightly cheaper than buying a new one. Plus, to get a VR set is at least $400, with the current price points. This setup is unique because of the quality that it provides, but it is a really expensive solution to being at the event.
To talk about the product itself, it really cool to see that there are alternatives to actually being at an event. Having to not go to an event and just see it in my living room is such a convenience. The unique experience allows me to see an event without dealing with all of the people. It is really immersive, I would think, because you are put directly into a position that is ideal. Another downside though is that the location of the cameras are locked into one place, so you can't really move around or walk around, just look through a 180 degree field of vision that is offered by an ultra high resolution camera.
For some events, I feel like I would try and use NextVR. I enjoy watching some sports in person, but being able to visually be there could offer the same experience for me as it is fairly close to being at an event in real life. So, NextVR is a unique experience that can put someone into the middle of an event, it's just a big expense upfront cost for the company, and a limited experience in terms of a limited field of vision.


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Appendix F. Additional Supplied Modules | Next |
pg_upgrade (formerly called pg_migrator) allows data stored in PostgreSQL data files to be migrated to a later PostgreSQL major version without the data dump/reload typically required for major version upgrades, e.g. from 8.4.7 to the current major release of PostgreSQL. It is not required for minor version upgrades, e.g. from 9.0.1 to 9.0.4.
pg_upgrade works because, though new features are regularly added to PostgreSQL major releases, the internal data storage format rarely changes. pg_upgrade does its best to make sure the old and new clusters are binary-compatible, e.g. by checking for compatible compile-time settings, including 32/64-bit binaries. It is important that any external modules are also binary compatible, though this cannot be checked by pg_upgrade.
pg_upgrade supports upgrades from 8.3.X and later to the current major release of PostgreSQL, including snapshot and alpha releases.
pg_upgrade accepts the following command-line arguments:
specify the old cluster executable directory
specify the new cluster executable directory
check clusters only, don't change any data
specify the old cluster data directory
specify the new cluster data directory
enable debugging
output debugging activity to file
use hard links instead of copying files to the new cluster
log session activity to file
specify the old cluster port number
specify the new cluster port number
clusters superuser
enable verbose output
display version information, then exit
show help, then exit
Optionally move the old cluster
If you are using a version-specific installation directory, e.g. /opt/PostgreSQL/8.4, you do not need to move the old cluster. The one-click installers all use version-specific installation directories.
If your installation directory is not version-specific, e.g. /usr/local/pgsql, it is necessary to move the current PostgreSQL install directory so it does not interfere with the new PostgreSQL installation. Once the current PostgreSQL server is shut down, it is safe to rename the PostgreSQL installation directory; assuming the old directory is /usr/local/pgsql, you can do:
mv /usr/local/pgsql /usr/local/pgsql.old
to rename the directory.
For source installs, build the new version
Build the new PostgreSQL source with configure flags that are compatible with the old cluster. pg_upgrade will check pg_controldata to make sure all settings are compatible before starting the upgrade.
Install the new PostgreSQL binaries
Install the new server's binaries and support files. You can use the same port numbers for both clusters, typically 5432, because the old and new clusters will not be running at the same time.
For source installs, if you wish to install the new server in a custom location, use the prefix variable:
gmake prefix=/usr/local/pgsql.new install
Install pg_upgrade and pg_upgrade_support
Install pg_upgrade and pg_upgrade_support in the new PostgreSQL cluster
Initialize the new PostgreSQL cluster
Initialize the new cluster using initdb. Again, use compatible initdb flags that match the old cluster. Many prebuilt installers do this step automatically. There is no need to start the new cluster.
Install custom shared object files
Install any custom shared object files (or DLLs) used by the old cluster into the new cluster, e.g. pgcrypto.so, whether they are from contrib or some other source. Do not install the schema definitions, e.g. pgcrypto.sql, because these will be migrated from the old cluster.
Adjust authentication
pg_upgrade will connect to the old and new servers several times, so you might want to set authentication to trust in pg_hba.conf, or if using md5 authentication, use a ~/.pgpass file (see Section 31.14) to avoid being prompted repeatedly for a password.
Stop both servers
Make sure both database servers are stopped using, on Unix, e.g.:
pg_ctl -D /opt/PostgreSQL/8.4 stop pg_ctl -D /opt/PostgreSQL/9.0 stop
or on Windows, using the proper service names:
NET STOP postgresql-8.4 NET STOP postgresql-9.0
or
NET STOP pgsql-8.3 (PostgreSQL 8.3 and older used a different service name)
Run pg_upgrade
Always run the pg_upgrade binary of the new server, not the old one. pg_upgrade requires the specification of the old and new cluster's data and executable (bin) directories. You can also specify user and port values, and whether you want the data linked instead of copied (the default).
If you use link mode, the upgrade will be much faster (no file copying), but you will not be able to access your old cluster once you start the new cluster after the upgrade. Link mode also requires that the old and new cluster data directories be in the same file system. See pg_upgrade --help for a full list of options.
For Windows users, you must be logged into an administrative account, and then start a shell as the postgres user and set the proper path:
RUNAS /USER:postgres "CMD.EXE" SET PATH=%PATH%;C:\Program Files\PostgreSQL\9.0\bin;
and then run pg_upgrade with quoted directories, e.g.:
pg_upgrade.exe --old-datadir "C:/Program Files/PostgreSQL/8.4/data" --new-datadir "C:/Program Files/PostgreSQL/9.0/data" --old-bindir "C:/Program Files/PostgreSQL/8.4/bin" --new-bindir "C:/Program Files/PostgreSQL/9.0/bin"
Once started, pg_upgrade will verify the two clusters are compatible and then do the migration. You can use pg_upgrade --check to perform only the checks, even if the old server is still running. pg_upgrade --check will also outline any manual adjustments you will need to make after the migration. pg_upgrade requires write permission in the current directory.
Obviously, no one should be accessing the clusters during the migration. Consider using a non-default port number, e.g. 50432, for old and new clusters to avoid unintended client connections during the upgrade.
If an error occurs while restoring the database schema, pg_upgrade will exit and you will have to revert to the old cluster as outlined in step 14 below. To try pg_upgrade again, you will need to modify the old cluster so the pg_upgrade schema restore succeeds. If the problem is a contrib module, you might need to uninstall the contrib module from the old cluster and install it in the new cluster after the migration, assuming the module is not being used to store user data.
Restore pg_hba.conf
If you modified pg_hba.conf to use trust, restore its original authentication settings.
Post-migration processing
If any post-migration processing is required, pg_upgrade will issue warnings as it completes. It will also generate script files that must be run by the administrator. The script files will connect to each database that needs post-migration processing. Each script should be run using:
psql --username postgres --file script.sql postgres
The scripts can be run in any order and can be deleted once they have been run.
| Caution |
In general it is unsafe to access tables referenced in rebuild scripts until the rebuild scripts have run to completion; doing so could yield incorrect results or poor performance. Tables not referenced in rebuild scripts can be accessed immediately. |
Statistics
Because optimizer statistics are not transferred by pg_upgrade, you will be instructed to run a command to regenerate that information at the end of the migration.
Delete old cluster
Once you are satisfied with the upgrade, you can delete the old cluster's data directories by running the script mentioned when pg_upgrade completes. You can also delete the old installation directories (e.g. bin, share).
Reverting to old cluster
If, after running pg_upgrade, you wish to revert to the old cluster, there are several options:
If you ran pg_upgrade with --check, no modifications were made to the old cluster and you can re-use it anytime.
If you ran pg_upgrade with --link, the data files are shared between the old and new cluster. If you started the new cluster, the new server has written to those shared files and it is unsafe to use the old cluster.
If you ran pg_upgrade without --link or did not start the new server, the old cluster was not modified except that an .old suffix was appended to $PGDATA/global/pg_control and perhaps tablespace directories. To reuse the old cluster, remove the .old suffix from $PGDATA/global/pg_control. and, if migrating to 8.4 or earlier, remove the tablespace directories created by the migration and remove the .old suffix from the tablespace directory names; then you can restart the old cluster.
Upgrading from PostgreSQL 8.3 has additional restrictions not present when upgrading from later PostgreSQL releases. For example, pg_upgrade will not work for a migration from 8.3 if a user column is defined as:
a tsquery data type
data type name and is not the first column
pg_upgrade will not work if the ltree contrib module is installed in a database.
You must drop any such columns and migrate them manually.
pg_upgrade will require a table rebuild if:
a user column is of data type tsvector
pg_upgrade will require a reindex if:
an index is of type hash or GIN
an index uses bpchar_pattern_ops
Also, the default datetime storage format changed to integer after PostgreSQL 8.3. pg_upgrade will check that the datetime storage format used by the old and new clusters match. Make sure your new cluster is built with the configure flag --disable-integer-datetimes.
For Windows users, note that due to different integer datetimes settings used by the one-click installer and the MSI installer, it is only possible to upgrade from version 8.3 of the one-click distribution to version 8.4 or later of the one-click distribution. It is not possible to upgrade from the MSI installer to the one-click installer.
pg_upgrade does not support migration of databases containing these reg* OID-referencing system data types: regproc, regprocedure, regoper, regoperator, regconfig, and regdictionary. (regtype can be migrated.)
All failure, rebuild, and reindex cases will be reported by pg_upgrade if they affect your installation; post-migration scripts to rebuild tables and indexes will be generated automatically.
For deployment testing, create a schema-only copy of the old cluster, insert dummy data, and migrate that.
If you want to use link mode and you don't want your old cluster to be modified when the new cluster is started, make a copy of the old cluster and migrate that with link mode. To make a valid copy of the old cluster, use rsync to create a dirty copy of the old cluster while the server is running, then shut down the old server and run rsync again to update the copy with any changes to make it consistent.


Q. 74. What do the first four commandments teach? A. Our duty to God.
Q. 75. What do the last six commandments teach? A. Our duty to our fellow men.


Printing requires rendering all the graph rows, for large genomes this may take several.
This takes time roughly linear to the number of rows. Narrowing the range (start and end base) or zooming out by using a larger bases/graph will both lower the time required.


2 references to Trigger
System.Management.Automation (2)
engine\debugger\Breakpoint.cs (1)
343
return
Trigger
() == BreakpointAction.Break;
engine\debugger\debugger.cs (1)
1500
if (breakpoint.
Trigger
() == Breakpoint.BreakpointAction.Break)


We recommend you to link every Octommerce related pages to this settings to make all navigations and redirections work well.


This feature allow users to group data into separate categories and show them in the same Dropdown. please note item grouping is possible when only one or more data is available.
For enable multiple item grouping, it is required to bind a specific string field name into
groupByField
property. by default it is set to undefined.
{{demoSnippet.itemGrouping}}


EATR
a Mobile App Designed for Promoting Healthy Eating Through Engaging Communities
ABOUT
Planning and budgeting for meals can be a huge challenge for low-income college students. Oftentimes, given a strict budget, students will have to make compromises. Oftentimes, this means sacrificing healthy foods for cheaper alternatives, or skipping expensive social events like group dinners.
To help users avoid such sacrifices, we developed Eatr, an application geared towards helping users quickly find cheap and healthy recipes, and connecting users with peers to help them cook together. Our ultimate goal is to foster communities that promote and celebrate healthy eating.In this project, we followed the guildeline of 2018 CHI design competition. This project is focusing on ‘Engaging Communities’: use human-centred design approaches to develop a new way to support, empower, or change the behaviour of a group around a shared area of interest.
During the design process, we went through three rounds of iteration.
First Round Of Iteration
Contextual Interview and Data Synthesize
In the first round of iteration, we did 5 contextual interview and gathered 57 effective surveys . We mainly used hierarchical model and affinity diagrams to synthesize our data.
Persona
Based on our interview participants’ goals, behaviors, frustrations,and backgrounds to create a user we’re designing for. Samantha, our hypothetical user, is a typicaluniversity student at a northeastern college where she is juggling an intense course load and manysocial obligations.
Design Ideation
Based on the findings, each team member individually brainstormed 20 distinctly different design solutions. We speed dating all ideas with our user to compare and combine the best ones and create our initial design.
Paper Prototyping
Our initial design is a mobile application that allows users to post and search for recipes and cooking/ shopping advice. Additionally it allows user to sign up or host ‘dinners’ which allows for interactive cooking. I made the paper prototyping for our design.
User Feedback
We invited three students to get user feedback about Eatr. All were students at Cornell who cooked for themselves on a low budget. We asked them to explore about the prototype and interviewed them with some questions. In sum, we took away from clear lessons that will be ideated into future design proposals, chiefly that our design must clearly indicate certain features that were includes but hard to access. This feedback was greatly appreciated and directly inform following design iterations to better serve the user’s needs/goals.
Second Round Of Iteration
Mid-fi Prototype
After gathering the user feedback, our group developed a mid-fidelity digital prototype using Balsamiq.
Check the Interactive Balasamiq prototype here.
Heuristic Evaluation
After each design iteration we conducted a user evaluation to fix user frustrations with the UI. For our mid-fidelity prototype our group conducted a heuristic evaluation in accordance with Nielsen’s guidelines. Some of the changes we decided to iterate on included: improving the visibility of the system status in the menu bar, incorporating a unified aesthetic and minimalist design, and allowing for better error prevention, and re-working the information architecture when adding posts.
Hi-Fi prototype
Finally, our group formalized all of our user feedback and heuristic evaluation findings into a coherent high-fidelity prototype which was created using the Sketch and InVision platforms. Besides the user experience, this prorotype also focused on the visual elements of the application.
User Evaluation
After creating out Invision Prototype, we brought our designs back to users. We conducted a second set of user testing session, and developed the following key findings based on feedback from our user base:
- Users wanted to learn more about events and posts, and expected to be able to click on an event or post, similar to a recipe
- Users expected to be able to able to edit posts once they posted something, not just delate and read only
- Many users struggled when trying to remove themselves from an event
- Many users did not realize if the search function was working
- Users of the general newsfeed were confused as to whether they were looking at a recipe, event, or general post.
Thus, in our final design iterations we focused on improving the aforementioned user feedback critiques. We thought about the affordances our prototype allowed in each interaction.
Third Round Of Iteration
In this iteration, we came up with our final Invision prototype. It demonstrates our final design implementation based on our user-testing and evaluation critiques..
We set out to analyze the problems facing college students on a budget. We found that they face two major frustrations, 1. They cannot take risks trying complicated recipes, and 2. They often have to compromise and skip social gatherings because of the expensive costs of eating at restaurants.
We designed an application that solves these problems by leveraging the power of the community. By allowing users to share recipes on Eatr, users can find the simple recipes that fit their budgets and constraints. By using the social event posts, users can eat with peers and try new recipes without worrying about expensive costs. Through Eatr, the power of community eases the individual’s monetary struggles while strengthening social bonds.


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 4
Deeply savoury and crisp, this Italian-style fried chicken will please the whole family.
For the roasted tomatoes, preheat the oven to 150C/300F/Gas 1.
Place the tomatoes, cut-sides facing upwards, onto a roasting tray. Drizzle with the olive oil and season, to taste, with salt and freshly ground black pepper. Scatter over the thyme sprigs.
Roast the tomatoes in the oven for two hours, or until slightly dried out. Remove from the oven and set aside to cool.
For the mozzarella-stuffed chicken, increase the oven temperature to 200C/400F/Gas 6. Heat the oil in a deep fat fryer to 190C. (CAUTION: Hot oil can be dangerous. Do not leave unattended.)
Cut a deep slit in the side of each chicken breast, then ease the knife around to the edges of the breast to create a ‘pocket’ in the centre.
Season the mozzarella slices, to taste, with salt and freshly ground black pepper. Insert two mozzarella slices into the pocket in each chicken breast.
Sprinkle the flour onto a plate. Beat the eggs in a bowl. Sprinkle the breadcrumbs onto another plate.
Dredge each stuffed chicken breast first in the flour, then dip them in the egg, then roll them in the breadcrumbs until completely coated.
Carefully lower the coated chicken breasts into the hot oil and fry for 2-3 minutes, or until golden-brown. Remove from the pan using a slotted spoon and transfer to a roasting tray. Bake in the oven for 15-20 minutes, or until the chicken is cooked through.
For the aubergine, mix together the aubergine pieces, rosemary leaves and olive oil until the oil coats the aubergines. Season, to taste, with salt and freshly ground black pepper.
Heat a griddle pan until hot, then cook the aubergine pieces for 30-45 seconds on each side, turning regularly, until charred griddle marks appear on the aubergine pieces and they are cooked through.
For the pesto, blend the basil, pine nuts, parmesan and garlic in a food processor to a textured purée. (Alternatively, crush the pesto in a pestle and mortar)
Add olive oil to loosen the mixture and blend again until well combined.
To serve, place one mozzarella-stuffed chicken breast into the centre of each of four serving plates. Pile the aubergines and roasted tomatoes alongside. Drizzle over the pesto.


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Event Location:
Lawrence Technological University
21000 West Ten Mile Road
Southfield, Michigan
Abstract:
Hierarchical data sets are everywhere. If you haven't worked with one yet, you will. If you're already working with them, you know they can be horribly complex, slow performing, difficult to maintain resource hogs that can really take the steam out of any GUI or batch process. This simple but code intensive "black arts" session shows you how to quickly and easily get around all of that using all 3 common hierarchical structures and a new structure that just might make Nested Sets obsolete. For stalwarts, it also includes a very high performance method (100,000 nodes in 6 seconds) for converting Adjacency Lists to Nested Sets that even a beginner can understand. You just have to know that a Tally Table is involved somewhere in this. ;-)
Speaker(s): Jeff Moden,
Abstract:
With the release of SQL 2012, Analysis Services (SSAS) has seen some major changes. An entire new method of modelling analytic data has emerged and it's called Tabular Mode Analysis Services. In addition to that, a new semantic layer has been added to the tool, the Business Intelligence Semantic Model (BISM), which will help to bring the two modes -- Multidimensional and Tabular -- into one level playing arena. In this session, attendees will gain understanding of what Multidimensional and Tabular modelling IS, as well as how the BISM layer helps to translate user requests to ensure no confusion is made. Attendees will also learn how to BUILD a Tabular model, and will help design a solution live during the presentation.
Speaker(s): Josh Fennessy,
Abstract:
LinkedIn is more than an online resume!  Think of it as your professional online image. LinkedIn is rapidly becoming the de facto platform for business networking. There are many powerful, advanced features that most people don’t know how to use or even exist. It is also an online communication platform, professional networking portal, and contacts database. Takeaways include: how to optimize and polish your profile, how to get your profile to 100%, quality vs. quantity networking strategies, selecting of and the correct use of LinkedIn groups
Speaker(s): Craig Purnell,
Abstract:
Does your data sit around mocking your best attempts to support good data practices? Databases are also bound by the GIGO rule: Garbage In is Garbage Out. In this presentation, Karen shows you examples of the types of mistakes, misunderstandings and outright cheats that lead to poor data quality, mistrust in IT systems and overall smelliness in our IT solutions. Using real-life evidence of her own data in your systems.
Speaker(s): Karen Lopez,
Abstract:
For the first time since SQL 7 there is a compelling reason for EVERY SQL Server user to upgrade to the next version and this time around the reason is Windowing Functions. And these are NOT limited to Enterprise Edition, like so many other really useful and important features! The range of data processing needs that can be very efficiently and cleanly solved with these tools is stunning. In this demo-packed session we will cover as many features as we can pack into an hour's time, and you can take the demo code back home with you to review at your leisure!
Speaker(s): Kevin Boles,
Abstract:
Tired of clicking through all those setup screens and entering the same information over and over again? I know I am, so I'm doing something about it...I'm automating my installs! From base SQL Server installs to Service Packs, Cumulative Updates and even Client Tools for DBA's and Developers, I'll show you ways to automate your installs using SQL Server FineBuild (CodePlex Project). We'll cover many of the scenarios you may encounter and you'll walk away with some pre-built install scripts to help get you started.
Speaker(s): Brian Davis,
Abstract:
Managing data in ever-growing transaction and history tables can be challenging. Activities with large chunks of data such as moving data to archive tables, batch-importing many rows, or defragging an entire table when only the active portion changes introduces heavy I/O and blocking. Table partitioning seamlessly solves a host of headaches with minimal effort. Ever wanted to truncate or defrag part of a table, or insert an entire staging table of data into another table in milliseconds instead of hours? Come see what partitioning can provide for you.
Speaker(s): Eddie Wuerch,
Abstract:
Implimenting agility and leveraging tool to deliver cubes faster is the next generation for Data Warehousing initiatives. I'll show you how to generate C# applications for SSIS And Cubes, impliment a tool for generating the SSIS, Dimensional structures, and building the cubes. This is just the start because I'll be interjecting how to Model Data Warehouses for major companies and how your company needs to do it. You don't get hired for knowing Kimball and Inmon anymore.
Speaker(s): Jordan Martz,
Abstract:
This session provides a technical overview of Hadoop and HD Insight targeted for Microsoft DW/BI professionals. Emphasis will be on how Map/Reduce paradigms complement and extend BI architectures. Specifically highlighted will be the Hadoop ecosystem, HDFS, Cloud vs. On-Premise, and various strategies to integrate SQL and NoSQL technologies into cohesive solutions.
Speaker(s): Rob Kerr,
Abstract:
Introduction to spatial features in SQL Server: how to create, procure, integrate and leverage spatial data. Demo using SQL Server 2008 R2.
Speaker(s): Frank Murphy,
Abstract:
In this session we will review some example code of ways I use PowerShell to help me as a DBA. Bring your questions and we will work together see how PowerShell can be the "Super Glue" that can be used to solve some of your problems.
Speaker(s): Carlton Ramsey,
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 FORTY times now and it is always very highly rated!
Speaker(s): Kevin Boles,
Abstract:
You have more and more servers to manage and less time to accomplish everything. You're writing scripts to automate those tasks but they still take time to run. PowerShell remoting allows you to manage servers without the overhead of Remote Desktop, and allows you to run processes on all your servers simultaneously. In this session we'll walk through how PowerShell remoting works, how to set it up, and how you can save time getting things done more quickly.
Speaker(s): Allen White,
Abstract:
Sure, your SQL Server is up and running. Is it healthy? Is it performing the best that it can? Where are your performance bottlenecks? In an emergency, can you objectively demonstrate where a performance problem lies? This dynamic dialog session will present a solid process for checking your environment's overall health and performance levels as well as solutions for common problems. Some of the items focused on include dynamic management views (DMVs), Windows Perfmon, and disk performance tools such as IOMeter and SQLIO.
Speaker(s): David Klee,
Abstract:
Every SQL developer or DBA should have a fully stocked toolbox that they can turn to in times of need. SQL Server enjoys a wide variety of support from 3rd party vendors that provide tools to help us peek under the hood and pinpoint issues. Sometimes we either don't have the budget for everything we would like, or we need something for a one-off project. In this session we will examine some of the free tools published by members of the SQL community and 3rd party vendors.
Speaker(s): Kevin Bullen,
Abstract:
I will present INSERT, UPDATE, DELETE and INSTEAD OF triggers using T-SQL. I will not be talking about CLR triggers. I will compare triggers to constraints, discuss security, demonstrate what each kind of trigger does, explain T-SQL trigger specific statements, enabling and disabling, ordering the sequence of trigger execution, demonstrate how to use the INSERTED and DELETED tables available in a trigger.
Speaker(s): Tom Groszko,
Abstract:
Chris Hyde has been working with the Microsoft SQL Server stack for over twelve years and has completed certification exams in SQL versions 2012, 2008, 2005, and 2000. He is a Senior Consultant with maxIT-VCS, a subsidiary of SAIC that specializes in healthcare IT consulting for the healthcare market, which he particularly enjoys as he gets to tackle different types of SQL problems at each client. He has been previously employed at ABQ Health Partners, Thornburg Mortgage, and Presbyterian Health Services.
Speaker(s): Chris Hyde,
Abstract:
The best defense is a good offence. Learn how to practice hacking without going to jail or getting fired. In this presentation we'll be going over how to exploit weak SQL servers with actual tools of the penetration testing trade. You will learn why the SQL Service is a popular target on your network and how to defend against basic attacks. We will also attempt to snag some credentials from the SAM cache so we can go galavanting across the rest of the network.
Speaker(s): Dustin Prescott,
Abstract:
There are four basic tasks every DBA should know how to do. They are, in this order: Restore, Backup, Index and Stats maintenance, and Consistency Checking. After this session, beginning and "involuntary" DBAs will know the basic ins and outs of each of these four critical tasks, as well as how to set up recurring maintenance on their servers, and handle some of the common issues these tasks present
Speaker(s): David Maxwell,
Abstract:
Have you ever thought about speaking at a user group or SQLSaturday, but weren't quite sure how to get started? If so, this session is for you! Technical speaking is loads of fun, great for your career, and you get to hang out with some terrific people. This session will provide the tools necessary to get your first session off the ground, and prep you to be a great speaker. Attend this session and you'll be able to: * Identify your topic and build a killer abstract for it, * Design and build the presentation, and * Prepare and deliver your first session
Speaker(s): Eddie Wuerch,
Abstract:
The expression language in SQL Server Integration Services is rich, and there are many locations within a package where the expression language can be used to make packages more dynamic. Within Derived Column transformations, Precedence Constraint evaluation, Script Tasks, Connection Managers, Containers and more, expressions and variables can be used to increase the flexibility of an SSIS package. Remember, “Write once, run many!”
Speaker(s): George Squillace,
Abstract:
Let's face it, auditing isn't sexy.  Fortunately, SQL Audit makes it easy. In this session, we'll cover what you can and can't audit using SQL Audit, enhancements in 2012, configuring database and server audits, ways to process output, and ideas for how to implement SQL Audit on a larger scale. Auditing doesn't have to be hard. And with the help of a little custom coding, it can even be sexy.
Speaker(s): Colleen Morrow,
Abstract:
The FileStream feature was introduced with SQL Server 2008 allowing BLOBs to be managed by the DB. In 2012, FileTable expands on this feature by using specific tables for storing these BLOBs. This allows Windows apps to access these items as if there were stored on the file system.
Speaker(s): Sam Nasr,
Abstract:
Ever thought about trying your hand at blogging? Or maybe you've started a blog but struggle with what to write about. We'll take a beginner's look at blogging and examine common roadblocks, finding topics, building readership, and setting you on the road to blogging stardom.
Speaker(s): Colleen Morrow,
Abstract:
We will review the upgrade process to SQL Server 2012. An upgrade is 75% project planning and 25% execution. Everyone knows that, right? Actually, no. A checklist of considerations a company would likely encounter coming from SQL Server 2005/2008 or R2. The pros and cons of in place upgrade vs. the build out new approach. There will be many real world lessons learned sprinkled in as the presenter has led many upgrades and migrations of SQL Server. Key takeaways include: when to upgrade in place compared to build new, usage of and how to gauge the usefulness of Upgrade Advisor, deprecated features and how to test for them
Speaker(s): Craig Purnell,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://www.linkedin.com/pub/colleen-morrow/2a/95a/651/
Contact: http://colleenmorrow.com
Colleen Morrow is a database professional living in Cleveland, OH who has been working with database systems since 1996. For more than 12 years, she was a Database Administrator at a large law firm where she developed an appreciation for auditing, automation, and performance tuning. Since that time she has worked with clients in the healthcare, manufacturing, software, and distribution/freight delivery industries. Colleen is currently a Senior Consultant at Fortified Data. She is an active member of the Ohio North SQL Server User Group and has presented at many SQLSaturday events as well as PASS Summit 2014 and 2015.
LinkedIn: http://www.linkedin.com/in/davidaklee
Contact: http://davidklee.net
David Klee is a Microsoft Data Platform MVP and VMware vExpert with a lifelong passion for technology. David spends his days focusing on the convergence of data and infrastructure as the Founder of Heraflux Technologies. His areas of expertise include cloud, virtualization, performance, and business continuity. David speaks at a number of national and regional technology related events, including PASS Summit, VMware VMworld, SQLBits, SQLSaturday events, and many SQL Server User Groups.
LinkedIn: http://www.linkedin.com/pub/allen-white-sql-server-mvp/5/784/b08/
Contact: http://dataperfpro.com/blog/
Allen White is a Data Platform consultant. He has been both a developer and an administrator, so he understands both perspectives towards database technology. He loves sharing his experiences and helping people learn how to use SQL Server. Allen has spent over 40 years in IT, using SQL Server since 1992, and has been awarded Microsoft’s MVP Award for the last 13 years. Allen was a PASS Director from 2016 - 2018.
LinkedIn: http://www.linkedin.com/in/karenlopez
Contact: http://datamodel.com
Karen Lopez is a Sr. Project Manager and Architect for InfoAdvisors. A frequent speaker at conferences and local user groups, she has 20+ years of experience in project and data management on large, multi-project programs. Karen is a chronic volunteer, a Data Platform MVP, and an active advocate for science, technology, engineering, and mathematics (STEM) education and data quality. Karen’s presentations are known for their lively and interactive approach to learning. Her motto: “Love Your Data!”
LinkedIn: https://www.linkedin.com/in/dustinprescott
Contact: http://nujakcities.wordpress.com
Dustin has worked for a large insurance company since graduating from Western Michigan University in 2006. Dustin has certifications from Microsoft, EMC, VMWare and Cisco. He currently wears three hats as a SQL/Storage/Virtualization administrator but enjoys a large array of other infrastructure and automation topics. He blogs about these topics at http://nujakcities.wordpress.com.
LinkedIn: https://www.linkedin.com/pub/frank-murphy/7/6a4/396
Contact: http://www.baldmanrunning.com
Brotherhood Mutual is a nation-wide property/casualty insurer that focuses on churches and related organizations. Frank works in the Enterprise Risk Management department as a Geospatial Analyst, where a large portion of his duties involves manipulating spatial data.
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: http://www.linkedin.com/in/samsnasr
Contact: http://samnasr.blogspot.com/
Sam Nasr has been a software developer since 1995, focusing mostly on Microsoft technologies. He’s a Sr. Software Engineer with NIS Technologies where he consults and teaches clients about the latest .Net technologies. Sam has achieved multiple certifications from Microsoft (MCSA, MCAD, MCTS, MCT), and is the leader of the Cleveland C#/VB.Net User Group since 2003. In addition, he’s the leader of the .Net Study Group, an author for Visual Studio Magazine, and a Microsoft MVP since 2013. When not coding, Sam loves spending time with his family and friends or volunteering at his local church.
LinkedIn: https://www.linkedin.com/in/kevinbullen/
Kevin has been working with SQL Server since 2006, as a application developer, SQL developer, and Database Administrator. He is currently a Premiere Field Engineer at Microsoft. When he's not working, he's usually hiding in his garage working on one of his jeeps.
LinkedIn: https://www.linkedin.com/in/briandavis78
Contact: http://blogs.sqlsentry.com
Brian Davis is a Product Integration Engineer at SentryOne and has over 15 years in the IT field in multiple areas including software development, support, user training, and as a DBA. He has been working with SQL Server since 2003 and has hands-on experience with SQL Server 2000 through 2016. Brian is also a PASS Regional Mentor and an active member and leader of the Ohio North SQL Server User Group.
LinkedIn: http://www.linkedin.com/pub/colleen-morrow/2a/95a/651/
Contact: http://colleenmorrow.com
Colleen Morrow is a database professional living in Cleveland, OH who has been working with database systems since 1996. For more than 12 years, she was a Database Administrator at a large law firm where she developed an appreciation for auditing, automation, and performance tuning. Since that time she has worked with clients in the healthcare, manufacturing, software, and distribution/freight delivery industries. Colleen is currently a Senior Consultant at Fortified Data. She is an active member of the Ohio North SQL Server User Group and has presented at many SQLSaturday events as well as PASS Summit 2014 and 2015.
Contact: http://www.Halobi.com
Jordan is iQ for Business’ official “Big” thinker. Big Ideas, Big Picture, Big Data — you name it — with Jordan, whatever it is, it’s Big. As the chief evangelist, he’s responsible for spreading the word about Halo BI and helping people understand why it’s truly a revolution in business intelligence. Before joining iQ, Jordan was a senior consultant for enterprise data management firm Kalido where he developed advanced information architectures for multi-nat
LinkedIn: https://www.linkedin.com/in/carltonramsey/
Contact: http://www.eccentricDBA.com
Carlton B Ramsey has worked for Third Federal Savings and Loan in Cleveland Ohio for two decades as an Application Developer and Database Administrator. He is an active member of the North Ohio SQL Server User Group, frequent SQLSaturday Presenter and Past-President of the Akron-Canton Chapter of CompTIA AITP (Association of Information Technology Professionals). In addition, he has a MCSA SQL 2016 Database Development.
Contact: http://www.e-squillace.com
George has been in the I.T. industry for over twenty five years and has been a computer trainer for over twenty years, an MCT since 1997. He has certified in every version of Windows Server since Windows NT 4.0, several versions of Exchange Server, and every version of SQL Server since SQL Server 2000. He is very enthusiastic about the SQL Server product, especially the BI capabilities.
LinkedIn: http://linkedin.com/in/craigpurnell
Contact: http://www.craigpurnell.com/
Craig Purnell is a career database professional, trainer, and community activist. He has spent over 10 years as the Database Administrator at a large Midwestern law firm. He has been in IT for 15 years and has spent his entire career working with enterprise databases and ERP systems. Craig is an active member of the Ohio North SQL Server User Group and has presented at many user groups, SQLSaturdays, and the PASS Summit in 2012 and 2013
With more than 51,000 posts and 39 mostly 5 star articles, Jeff Moden is a strong contributor on SQLServerCentral.com where he coined the term “RBAR” (Row By Agonizing Row) and helped make the "Tally Table" a household name. Jeff has more than 2 decades of experience with SQL Server and is mostly self-trained in what he calls the “Black Arts” of T-SQL. He’s known worldwide for his informative articles, high performance T-SQL coding methods, and methods of mentoring. His dedication to helping others earned him the MS SQL Server MVP award for nine years and the RedGate Exceptional DBA Award in 2011. His mantra is "Performance is in the code".
LinkedIn: http://www.linkedin.com/in/eddiewuerch
Contact: http://www.indydba.com
Eddie Wuerch has 20 years of experience as a SQL Server specialist in a much-longer IT career. A Microsoft Certified Master, Eddie spends his days in the Salesforce Marketing Cloud, focusing on performance, scale, and uptime for the massive SQL Server backend. These SQL Servers churn billions of transactions daily against trillions of rows of data in a 24x7 continuously-available online system accessed by millions worldwide every day.
LinkedIn: http://www.linkedin.com/in/kerrrob/
Contact: http://www.robkerr.com
Rob is CTO with BlueGranite, is a Microsoft SQL Server MVP and holds top Microsoft certifications in both SQL Server Database Administration and BI Development. Rob has implemented data warehouse and business analytics systems for many Fortune 500 companies, and focuses on large-scale data warehousing, geospatial data analysis and mobile solutions. Rob is the lead contributor to msbiacademy.com, a site providing free on-demand training covering a variety of Microsoft BI topics.
LinkedIn: http://www.linkedin.com/in/joshuafennessy/
Contact: http://www.joshuafennessy.com
Josh Fennessy, Solution Architect at BlueGranite, has been building solutions with the SQL Server BI stack for 8 years. He is a Microsoft Certified Solutions Expert in Business Intelligence. Josh#39;s passions include manipulating data in novel ways to open analytic possibilities not before possible. Josh is active in the SQL Server and Open Source communities. Beyond relational and OLAP data projects, Josh is also involved in projects using cluster computing platforms such as Hadoop.
I have been working with MS SQL since 2000 and prior to that with Oracle and Sybase SQL. I have been working with a variety of databases for many years. I also develop desktop applications with C++ and C#.
LinkedIn: https://www.linkedin.com/in/chris-hyde-3803706
Chris Hyde is a Microsoft Data Platform MVP and Microsoft Certified Trainer based in Albuquerque, New Mexico. He works as an independent SQL Server BI and DBA consultant, and is the leader of the Albuquerque PASS local user group. He is also part of the Friends of Redgate program and was a member of the Idera ACE class of 2018. He loves loud music and cricket, but usually not at the same time.
LinkedIn: http://linkedin.com/in/craigpurnell
Contact: http://www.craigpurnell.com/
Craig Purnell is a career database professional, trainer, and community activist. He has spent over 10 years as the Database Administrator at a large Midwestern law firm. He has been in IT for 15 years and has spent his entire career working with enterprise databases and ERP systems. Craig is an active member of the Ohio North SQL Server User Group and has presented at many user groups, SQLSaturdays, and the PASS Summit in 2012 and 2013
LinkedIn: https://www.linkedin.com/in/davidmmaxwell
Contact: https://dmmaxwell.wordpress.com/
David Maxwell has almost 20 years of experience with SQL Server, with a keen interest in performance tuning, monitoring, and troubleshooting. He has experience in environments as diverse as health care institutions, auto manufacturers, and insurance companies. David has been a frequent presenter at SQLSaturday events around the United States since 2012, as well as a presenter for the DBA Fundamentals Virtual Group, the Performance Virtual Group, 24 Hours of PASS, and the annual PASS Summit. David participates in his local Columbus Ohio PASS Local Group, where he serves on the board of directors as SQLSaturday coordinator.
LinkedIn: http://www.linkedin.com/in/eddiewuerch
Contact: http://www.indydba.com
Eddie Wuerch has 20 years of experience as a SQL Server specialist in a much-longer IT career. A Microsoft Certified Master, Eddie spends his days in the Salesforce Marketing Cloud, focusing on performance, scale, and uptime for the massive SQL Server backend. These SQL Servers churn billions of transactions daily against trillions of rows of data in a 24x7 continuously-available online system accessed by millions worldwide every day.
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.
The following is a list of sponsors that helped fund the event.
New Horizons Computer Learning Centers


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Write a function that checks if the element at given position in given array of integers is bigger than its two neighbors (when such exist).
== use spaces to separate the elements of the array
== Example: 1 5 -6 7 5 ==


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1/4 Cup of Water
1/3 of Cup Vegetable Oil
1 Egg
Ghirardelli Brownie Mix
Preheat oven to 325°F.
Prepare baking pan by lightly greasing or spraying with non-stick cooking spray.
Place water, oil and egg in medium bowl.
Stir until fully mixed.
Add brownie mix and stir until well blended.
Spread in prepared pan.
Bake for 40-45 minutes.
Cool completely in pan before cutting.
Do not overbake. Fresh-baked brownies appear underbaked but cool to doneness.
For thicker brownies, make batter using 2 tablespoons of water, 1/3 cup of vegitable oil and 2 eggs.
HIGH ALTITUDE: Add 1/4 cup all-purpose flour and an additional 2 tablespoons of water.


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Integrated Data, Energy Analysis + Simulation
A Passion for Better Buildings
IDEAS Lab is a research group in the Department of Building at the National University of Singapore (NUS) that engages in the integration building performance simulation with real-time data and machine learning. The group focuses on various aspects of building performance simulation including uncertainty quantification, model calibration, and building data analytics with the aim of creating energy efficient and healthier buildings.
Also, check out our two sibling labs: the Building and Urban Data Science (BUDS) Lab and the Urban Analytics Lab (UAL), with whom we collaborate closely within NUS. .
Advanced machine learning based control for the HVAC systems
This study aims at improving the scalability of MPC by addressing modeling-related issues and establishing an automated framework.
An R package for creating future weather files under climate changes for building energy simulation
Life cycle cost optimization
A framework for seamless integration between Building Energy Simulation (BES) and data-driven analytics.
Generating certified energy models in Singapore through an M&V framework.An NUS project in collaboration with Professor Godfried L. Augenbroe (Georgia Institute of Technology)
Dr. Adrian Chong is an Assistant Professor in the Department of the Built Environment at the National University of Singapore (NUS). His research interest is in building energy modeling and simulation, focusing on model calibration and uncertainty quantification. At NUS, he leads the Integrated Data, Energy Analysis + Simulation (IDEAS) lab, a multidisciplinary group researching the interaction between building performance simulation, measured data, and machine learning. Adrian is also the subject editor (validation, calibration, and uncertainty) for the journal Building Simulation and an NUS principal investigator at the SinBerBEST program Theme E - Cyber-Physical Testbed.
PhD in Building Performance and Diagnostics, 2017
Carnegie Mellon University


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Embroidery is typically thought of as a needle and thread that is stitched on fabric, although it can encompass beads, metal, and other objects. To secure the fabric and keep it taut, it is stretched between two hoops—most of the time. Some artists go beyond the hoop to embroider in places you’d never expect, such as metal surfaces or even tennis rackets.
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Provides interface to Google Fit REST API v1 (see <https://developers.google.com/fit/rest/v1/reference/>).
| Version: | 0.3.1 |
| Depends: | R (≥ 3.0), RCurl, jsonlite, bit64, httr |
| Imports: | utils |
| Published: | 2017-05-29 |
| Author: | Marcin Szymanski |
| Maintainer: | Marcin Szymanski <ms32035 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | WebTechnologies |
| CRAN checks: | RGoogleFit results |
| Reference manual: | RGoogleFit.pdf |
| Package source: | RGoogleFit_0.3.1.tar.gz |
| Windows binaries: | r-devel: RGoogleFit_0.3.1.zip, r-release: RGoogleFit_0.3.1.zip, r-oldrel: RGoogleFit_0.3.1.zip |
| OS X binaries: | r-release: RGoogleFit_0.3.1.tgz, r-oldrel: RGoogleFit_0.3.1.tgz |
| Old sources: | RGoogleFit archive |
Please use the canonical form https://CRAN.R-project.org/package=RGoogleFit to link to this page.


This document describes the design of the POIFS system. It is organized as follows:
This document is written as part of an iterative process. As that process is not yet complete, neither is this document.
The design of POIFS is not dependent on the code written for the proof-of-concept prototype POIFS package.
As usual, the primary considerations in the design of the POIFS assumption involve the classic space-time tradeoff. In this case, the main consideration has to involve minimizing the memory footprint of POIFS. POIFS may be called upon to create relatively large documents, and in web application server, it may be called upon to create several documents simultaneously, and it will likely co-exist with other Serializer systems, competing with those other systems for space on the server.
We've addressed the risk of being too slow through a proof-of-concept prototype. This prototype for POIFS involved reading an existing file, decomposing it into its constituent documents, composing a new POIFS from the constituent documents, and writing the POIFS file back to disk and verifying that the output file, while not necessarily a byte-for-byte image of the input file, could be read by the application that generated the input file. This prototype proved to be quite fast, reading, decomposing, and re-generating a large (300K) file in 2 to 2.5 seconds.
While the POIFS format allows great flexibility in laying out the documents and the other internal data structures, the layout of the filesystem will be kept as simple as possible.
The design of the POIFS is broken down into two parts: discussion of the classes and interfaces, and discussion of how these classes and interfaces will be used to convert an appropriate Java InputStream (such as an XML stream) to a POIFS output stream containing an HSSF document.
Classes and InterfacesThe classes and interfaces used in the POIFS are broken down as follows:
| Package | Contents |
|---|---|
| net.sourceforge.poi.poifs.storage | Block classes and interfaces |
| net.sourceforge.poi.poifs.property | Property classes and interfaces |
| net.sourceforge.poi.poifs.filesystem | Filesystem classes and interfaces |
| net.sourceforge.poi.util | Utility classes and interfaces |
The block classes and interfaces are shown in the following class diagram.
| Class/Interface | Description |
|---|---|
| BATBlock | The BATBlock class
represents a single big block
containing 128 BAT
entries. Its _fields array is
used to read and write the BAT entries
into the _data
array.Its createBATBlocks
method is used to create an array of
BATBlock instances from an array of
int BAT entries.Its calculateStorageRequirements
method calculates the number of BAT
blocks necessary to hold the specified
number of BAT entries. |
| BigBlock | The BigBlock class is an
abstract class representing the common
big block of 512 bytes. It implements
BlockWritable,
trivially delegating the
writeBlocks method
of BlockWritable to its own abstract
writeData
method. |
| BlockWritable | The BlockWritable interface
defines a single method,
writeBlocks , that
is used to write an implementation's
block data to an
OutputStream . |
| DocumentBlock | The DocumentBlock class is
used by a Document to holds
its raw data. It also retains the
number of bytes read, as this is used
by the Document class to determine the
total size of the data, and is also
used internally to determine whether
the block was filled by the
InputStream or
not.The DocumentBlock
constructor is passed an
InputStream from which to
fill its _data
array.The size
method returns the number of bytes
read (_bytes_read
when the instance was
constructed.The partiallyRead
method returns true if the
_data array was
not completely filled, which may be
interpreted by the Document as having
reached the end of file
point.Typical use of the DocumentBlock class is like this: while
(true) |
| HeaderBlock | The HeaderBlock class is
used to contain the data found in a
POIFS header. Its IntegerField members are used to read and write the appropriate entries into the _data
array.Its setBATBlocks ,
setPropertyStart ,
and setXBATStart
methods are used to set the
appropriate fields in the
_data
array.The calculateXBATStorageRequirements
method is used to determine how many
XBAT blocks are necessary to
accommodate the specified number of
BAT blocks.
|
| PropertyBlock | The PropertyBlock class is
used to contain Property
instances for the PropertyTable
class. It contains an array, _properties of 4
Property instances, which together
comprise the 512 bytes of a BigBlock.The createPropertyBlockArray
method is used to convert a
List of Property
instances into an array of
PropertyBlock instances. The number of
Property instances is rounded up to a
multiple of 4 by creating empty
anonymous inner class extensions of
Property. |
The property classes and interfaces are shown in the following class diagram.
| Class/Interface | Description |
|---|---|
| Directory | The Directory interface is
implemented by the RootProperty
class. It is not strictly necessary
for the initial POIFS implementation,
but when the POIFS supports directory
elements, this interface will be
more widely implemented, and so is
included in the design at this point
to ease the eventual support of
directory elements. Its methods are a getter/setter pair, getChildren ,
returning an Iterator of
Property
instances; and
addChild , which
will allow the caller to add another
Property instance to the Directory's
children. |
| DocumentProperty | The DocumentProperty class
is a trivial extension of Property and is
used by Document to keep
track of its associated entry in the
PropertyTable. Its constructor takes a name and the document size, on the assumption that the Document will not create a DocumentProperty until after it has created the storage for the document data and therefore knows how much data there is. |
| File | The File interface specifies the behavior of reading and writing the next and previous child fields of a Property. |
| Property | The Property class is an
abstract class that defines the basic
data structure of an element of the Property
Table. Its ByteField, ShortField, and IntegerField members are used to read and write data into the appropriate locations in the _raw_data
array.The _index member is
used to hold a Propery instance's
index in the List of
Property instances maintained by PropertyTable,
which is used to populate the child
property of parent Directory
properties and the next property and
previous property of sibling File
properties.The _name ,
_next_file , and
_previous_file
members are used to help fill the
appropriate fields of the _raw_data
array.Setters are provided for some of the fields (name, property type, node color, child property, size, index, start block), as well as a few getters (index, child property). The preWrite method is
abstract and is used by the owning
PropertyTable to iterate through its
Property instances and prepare each
for writing.The shouldUseSmallBlocks
method returns true if the Property's
size is sufficiently small - how small
is none of the caller's business.
|
| PropertyBlock | See the description in PropertyBlock. |
| PropertyTable | The PropertyTable class
holds all of the DocumentProperty
instances and the RootProperty
instance for a Filesystem
instance. It maintains a List of its Property
instances
(_properties ), and
when prepared to write its data by a
call to preWrite ,
it gets and holds an array of PropertyBlock
instances
(_blocks .It also maintains its start block in its _start_block
member.It has a method, getRoot , to get
the RootProperty, returning it as an
implementation of Directory, and a
method to add a Property,
addProperty , and a
method to get its start block,
getStartBlock . |
| RootProperty | The RootProperty class acts
as the Directory for
all of the DocumentProperty
instance. As such, it is more of a
pure directory
entry than a proper root
entry in the Property
Table, but the initial POIFS
implementation does not warrant the
additional complexity of a full-blown
root entry, and so it is not modeled
in this design. It maintains a List of its children,
_children , in
order to perform its
directory-oriented duties. |
The property classes and interfaces are shown in the following class diagram.
| Class/Interface | Description |
|---|---|
| Filesystem | The Filesystem class is the
top-level class that manages the
creation of a POIFS document. It maintains a PropertyTable instance in its _property_table
member, a HeaderBlock
instance in its
_header_block
member, and a List of its
Document
instances in its
_documents
member.It provides methods for a client to create a document ( createDocument ),
and a method to write the Filesystem
to an OutputStream
(writeFilesystem ). |
| BATBlock | See the description in BATBlock |
| BATManaged | The BATManaged interface
defines common behavior for objects
whose location in the written file is
managed by the Block
Allocation Table. It defines methods to get a count of the implementation's BigBlock instances ( countBlocks ), and
to set an implementation's start block
(setStartBlock ). |
| BlockAllocationTable | The BlockAllocationTable is
an implementation of the POIFS Block
Allocation Table. It is only
created when the Filesystem is
about to be written to an
OutputStream .It contains an IntList of block numbers for all of the BATManaged implementations owned by the Filesystem, _entries , which is
filled by calls to
allocateSpace .It fills its array, _blocks , of BATBlock
instances when its
createBATBlocks
method is called. This method has to
take into account its own storage
requirements, as well as those of the
XBAT blocks, and so calls
BATBlock.calculateStorageRequirements
and
HeaderBlock.calculateXBATStorageRequirements
repeatedly until the counts returned
by those methods stabilize.The countBlocks method
returns the number of BATBlock
instances created by the preceding
call to createBlocks. |
| BlockWritable | See the description in BlockWritable |
| Document | The Document class is used
to contain a document, such as an HSSF
workbook. It has its own DocumentProperty ( _property ) and
stores its data in a collection of DocumentBlock
instances
(_blocks ).It has a method, getDocumentProperty ,
to get its DocumentProperty. |
| DocumentBlock | See the description in DocumentBlock |
| DocumentProperty | See the description in DocumentProperty |
| HeaderBlock | See the description in HeaderBlock |
| PropertyTable | See the description in PropertyTable |
The utility classes and interfaces are shown in the following class diagram.
| Class/Interface | Description |
|---|---|
| BitField | The BitField class is used primarily by HSSF code to manage bit-mapped fields of HSSF records. It is not likely to be used in the POIFS code itself and is only included here for the sake of complete documentation of the POI utility classes. |
| ByteField | The ByteField class is an
implementation of FixedField for
the purpose of managing reading and
writing to a byte-wide field in an
array of bytes . |
| FixedField | The FixedField interface
defines a set of methods for reading a
field from an array of
bytes or from an
InputStream , and for
writing a field to an array of
bytes . Implementations
typically require an offset in their
constructors that, for the purposes of
reading and writing to an array of
bytes , makes sure that
the correct bytes in the
array are read or written. |
| HexDump | The HexDump class is a
debugging class that can be used to
dump an array of bytes to
an OutputStream . The
static method dump
takes an array of bytes ,
a long offset that is
used to label the output, an open
OutputStream , and an
int index that specifies
the starting index within the array of
bytes .The data is displayed 16 bytes per line, with each byte displayed in hexadecimal format and again in printable form, if possible (a byte is considered printable if its value is in the range of 32 ... 126). Here is an example of a small array of bytes
with an offset of
0x110:00000110 C8 00 00 00 FF 7F 90 01 00 00 00 00 00 00 05 01 ................ |
| IntegerField | The IntegerField class is
an implementation of FixedField for
the purpose of managing reading and
writing to an integer-wide field in an
array of bytes . |
| IntList | The IntList class is a
work-around for functionality missing
in Java (see http://developer.java.sun.com/developer/bugParade/bugs/4487555.html
for details); it is a simple growable
array of ints that gets
around the requirement of wrapping and
unwrapping ints in
Integer instances in
order to use the
java.util.List
interface.IntList mimics the functionality of the java.util.List interface
as much as possible. |
| LittleEndian | The LittleEndian class
provides a set of static methods for
reading and writing
shorts ,
ints , longs ,
and doubles in and out of
byte arrays, and out of
InputStreams , preserving
the Intel byte ordering and encoding
of these values. |
| LittleEndianConsts | The LittleEndianConsts
interface defines the width of a
short , int ,
long , and
double as stored by Intel
processors. |
| LongField | The LongField class is an
implementation of FixedField for
the purpose of managing reading and
writing to a long-wide field in an
array of bytes . |
| ShortField | The ShortField class is an
implementation of FixedField for
the purpose of managing reading and
writing to a short-wide field in an
array of bytes . |
| ShortList | The ShortList class is a
work-around for functionality missing
in Java (see http://developer.java.sun.com/developer/bugParade/bugs/4487555.html
for details); it is a simple growable
array of shorts that gets
around the requirement of wrapping and
unwrapping shorts in
Short instances in order
to use the java.util.List
interface.ShortList mimics the functionality of the java.util.List interface
as much as possible. |
| StringUtil | The StringUtil class manages the processing of Unicode strings. |
This section describes the scenarios of how the POIFS classes and interfaces will be used to convert an appropriate XML stream to a POIFS output stream containing an HSSF document.
It is broken down as suggested by the following scenario diagram:
| Step | Description |
|---|---|
| 1 | The Filesystem is created by the client application. |
| 2 | The client
application tells the Filesystem to create a
document, providing an
InputStream and the name of the
document. This may be repeated several
times. |
| 3 | The client
application asks the Filesystem to write its
data to an OutputStream . |
Initialization of the POIFS system is shown in the following scenario diagram:
| Step | Description |
|---|---|
| 1 | The Filesystem object, which is created for each request to convert an appropriate XML stream to a POIFS output stream containing an HSSF document, creates its PropertyTable. |
| 2 | The PropertyTable
creates its RootProperty
instance, making the RootProperty the
first Property
in its List of Property
instances. |
| 3 | The Filesystem creates its HeaderBlock instance. It should be noted that the decision to create the HeaderBlock at Filesystem initialization is arbitrary; creation of the HeaderBlock could easily and harmlessly be postponed to the appropriate moment in writing the filesystem. |
Creating and adding a document to a POIFS system is shown in the following scenario diagram:
| Step | Description |
|---|---|
| 1 | The Filesystem
instance creates a new Document
instance. It will store the newly
created Document in a
List of BATManaged
instances. |
| 2 | The Document reads
data from the provided
InputStream , storing the
data in DocumentBlock
instances. It keeps track of the byte
count as it reads the data. |
| 3 | The Document creates a DocumentProperty to keep track of its property data. The byte count is stored in the newly created DocumentProperty instance. |
| 4 | The Filesystem requests the newly created DocumentProperty from the newly created Document instance. |
| 5 | The Filesystem
sends the newly created DocumentProperty
to the Filesystem's PropertyTable
so that the PropertyTable can add the
DocumentProperty to its
List of Property
instances. |
| 6 | The Filesystem gets the RootProperty from its PropertyTable. |
| 7 | The Filesystem adds the newly created DocumentProperty to the RootProperty. |
Although typical deployment of the POIFS system will only entail adding a single Document (the workbook) to the Filesystem, there is nothing in the design to prevent multiple Documents from being added to the Filesystem. This flexibility can be employed to write summary information document(s) in addition to the workbook.
Writing the filesystem is shown in the following scenario diagram:
| Step | Description | |
|---|---|---|
| 1 | The Filesystem adds
the PropertyTable
to its List of BATManaged
instances and calls the
PropertyTable's
preWrite
method. The action taken by the
PropertyTable is shown in the PropertyTable
preWrite scenario diagram. |
|
| 2 | The Filesystem creates the BlockAllocationTable. | |
| 3 | The Filesystem gets the block count from the BATManaged instance. | These three steps are
repeated for each BATManaged
instance in the Filesystem's
List of BATManaged
instances (i.e., the Documents, in
order of their addition to the
Filesystem, followed by the PropertyTable). |
| 4 | The Filesystem sends the block count to the BlockAllocationTable, which adds the appropriate entries to is IntList of entries, returning the starting block for the newly added entries. | |
| 5 | The Filesystem gives the start block number to the BATManaged instance. If the BATManaged instance is a Document, it sets the start block field in its DocumentProperty. | |
| 6 | The Filesystem tells the BlockAllocationTable to create its BatBlocks. | |
| 7 | The Filesystem gives the BAT information to the HeaderBlock so that it can set its BAT fields and, if necessary, create XBAT blocks. | |
| 8 | If the filesystem is unusually large (over 7MB), the HeaderBlock will create XBAT blocks to contain the BAT data that it cannot hold directly. In this case, the Filesystem tells the HeaderBlock where those additional blocks will be stored. | |
| 9 | The Filesystem gives the PropertyTable start block to the HeaderBlock. | |
| 10 | The Filesystem
tells the BlockWritable
instance to write its blocks to the
provided
OutputStream .This step is repeated for each BlockWritable instance, in this order:
|
PropertyTable preWrite scenario diagram
| Step | Description |
|---|---|
| 1 | The PropertyTable
calls setIndex for
each of its Property
instances, so that each Property now
knows its index within the
PropertyTable's List of
Property instances. |
| 2 | The PropertyTable requests the PropertyBlock class to create an array of PropertyBlock instances. |
| 3 | The PropertyBlock
calculates the number of empty Property
instances it needs to create and
creates them. The algorithm for the
number to create is:block_count = (properties.size()
+ 3) / 4; |
| 4 | The PropertyBlock
creates the required number of PropertyBlock
instances from the List
of Property
instances, including the newly created
empty Property
instances. |
| 5 | The PropertyTable
calls preWrite on
each of its Property
instances. For DocumentProperty
instances, this call is a no-op. For
the RootProperty,
the action taken is shown in the RootProperty
preWrite scenario diagram. |
RootProperty preWrite scenario diagram
| Step | Description | |
|---|---|---|
| 1 | The RootProperty
sets its child property with the index
of the child Property that is
first in its List of
children. |
|
| 2 | The RootProperty
sets its child's next property field
with the index of the child's next
sibling in the RootProperty's
List of children. If the
child is the last in the
List , its next property
field is set to -1 . |
These two steps are
repeated for each File in the RootProperty's
List of
children. |
| 3 | The RootProperty
sets its child's previous property
field with a value of
-1 . |


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@* * Copyright 2019 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.testuser.models.TestOrganisation @(organisation: TestOrganisation)
Use these credentials in the OAuth Authorize flow to generate an OAuth access token for this organisation.
@organisation.userId
@organisation.password
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