Operational FAQs
Why is my process hanging when I try to start it in the background?
The first question that needs to be asked is whether or not you have previously run a multi-node cluster using the same data directory. If you haven't, then you should check out our Cluster Setup Troubleshooting docs. If you have previously started and stopped a multi-node cluster and are now trying to bring it back up, you're in the right place.
In order to keep your data consistent, CockroachDB only works when at least a majority of its nodes are running. This means that if only one node of a three node cluster is running, that one node will not be able to do anything. The --background flag of cockroach start causes the start command to wait until the node has fully initialized and is able to start serving queries.
Together, these two facts mean that the --background flag will cause cockroach start to hang until a majority of nodes are running. In order to restart your cluster, you should either use multiple terminals so that you can start multiple nodes at once or start each node in the background using your shell's functionality (e.g., cockroach start &) instead of the --background flag.
Why is memory usage increasing despite lack of traffic?
Like most databases, CockroachDB caches the most recently accessed data in memory so that it can provide faster reads, and its periodic writes of timeseries data cause that cache size to increase until it hits its configured limit. For information about manually controlling the cache size, see Recommended Production Settings.
Why is disk usage increasing despite lack of writes?
The timeseries data used to power the graphs in the Admin UI is stored within the cluster and accumulates for 30 days before it starts getting truncated. As a result, for the first 30 days or so of a cluster's life, you will see a steady increase in disk usage and the number of ranges even if you aren't writing data to the cluster yourself.
Can I reduce or disable the storage of timeseries data?
Yes. By default, CockroachDB stores timeseries data for the last 30 days for display in the Admin UI, but you can reduce the interval for timeseries storage or disable timeseries storage entirely.
After reducing or disabling timeseries storage, it can take up to 24 hours for timeseries data to be deleted and for the change to be reflected in Admin UI metrics.
Reduce the interval for timeseries storage
To reduce the interval for storage of timeseries data, change the timeseries.storage.resolution_10s.ttl cluster setting to an INTERVAL value less than 720h0m0s (30 days). For example, to store timeseries data for the last 15 days, run the following SET CLUSTER SETTING command:
> SET CLUSTER SETTING timeseries.storage.resolution_10s.ttl = '360h0m0s';
> SHOW CLUSTER SETTING timeseries.storage.resolution_10s.ttl;
(1 row)
Disable timeseries storage entirely
Disabling timeseries storage is recommended only if you exclusively use a third-party tool such as Prometheus for timeseries monitoring. Prometheus and other such tools do not rely on CockroachDB-stored timeseries data; instead, they ingest metrics exported by CockroachDB from memory and then store the data themselves.
To disable the storage of timeseries data entirely, run the following command:
> SET CLUSTER SETTING timeseries.storage.enabled = false;
> SHOW CLUSTER SETTING timeseries.storage.enabled;
(1 row)
If you want all existing timeseries data to be deleted, change the timeseries.storage.resolution_10s.ttl cluster setting as well:
> SET CLUSTER SETTING timeseries.storage.resolution_10s.ttl = '0s';
What happens when a node runs out of disk space?
When a node runs out of disk space, it shuts down and cannot be restarted until space is freed up. To prepare for this case, place a ballast file in each node's storage directory that can be deleted to free up enough space to be able to restart the node. If you did not create a ballast file, look for other files that can be deleted, such as log files.
In addition to using ballast files, it is important to actively monitor remaining disk space.
Why would increasing the number of nodes not result in more operations per second?
If queries operate on different data, then increasing the number of nodes should improve the overall throughput (transactions/second or QPS).
However, if your queries operate on the same data, you may be observing transaction contention. See Understanding and Avoiding Transaction Contention for more details.
Why does CockroachDB collect anonymized cluster usage details by default?
Collecting information about CockroachDB's real world usage helps us prioritize the development of product features. We choose our default as "opt-in" to strengthen the information we receive from our collection efforts, but we also make a careful effort to send only anonymous, aggregate usage statistics. See Diagnostics Reporting for a detailed look at what information is sent and how to opt-out.
What happens when node clocks are not properly synchronized?
CockroachDB requires moderate levels of clock synchronization to preserve data consistency. For this reason, when a node detects that its clock is out of sync with at least half of the other nodes in the cluster by 80% of the maximum offset allowed (500ms by default), it spontaneously shuts down. While serializable consistency is maintained regardless of clock skew, skew outside the configured clock offset bounds can result in violations of single-key linearizability between causally dependent transactions. It's therefore important to prevent clocks from drifting too far by running NTP or other clock synchronization software on each node.
The one rare case to note is when a node's clock suddenly jumps beyond the maximum offset before the node detects it. Although extremely unlikely, this could occur, for example, when running CockroachDB inside a VM and the VM hypervisor decides to migrate the VM to different hardware with a different time. In this case, there can be a small window of time between when the node's clock becomes unsynchronized and when the node spontaneously shuts down. During this window, it would be possible for a client to read stale data and write data derived from stale reads. To protect against this, we recommend using the server.clock.forward_jump_check_enabled and server.clock.persist_upper_bound_interval cluster settings.
When setting up clock synchronization:
 - All nodes in the cluster must be synced to the same time source, or to different sources that implement leap second smearing in the same way. For example, Google and Amazon have time sources that are compatible with each other (they implement leap second smearing in the same way), but are incompatible with the default NTP pool (which does not implement leap second smearing).
 - For nodes running in AWS, we recommend Amazon Time Sync Service. For nodes running in GCP, we recommend Google's internal NTP service. For nodes running elsewhere, we recommend Google Public NTP. Note that the Google and Amazon time services can be mixed with each other, but they cannot be mixed with other time services (unless you have verified leap second behavior). Either all of your nodes should use the Google and Amazon services, or none of them should.
 - If you do not want to use the Google or Amazon time sources, you can use chrony and enable client-side leap smearing, unless the time source you're using already does server-side smearing. In most cases, we recommend the Google Public NTP time source because it handles smearing the leap second. If you use a different NTP time source that doesn't smear the leap second, you must configure client-side smearing manually and do so in the same way on each machine.
 - Do not run more than one clock sync service on VMs where cockroach is running.
For guidance on synchronizing clocks, see the tutorial for your deployment environment:
Environment Featured Approach
On-Premises Use NTP with Google's external NTP service.
AWS Use the Amazon Time Sync Service.
Azure Disable Hyper-V time synchronization and use NTP with Google's external NTP service.
Digital Ocean Use NTP with Google's external NTP service.
GCE Use NTP with Google's internal NTP service.
How can I tell how well node clocks are synchronized?
As explained in more detail in our monitoring documentation, each CockroachDB node exports a wide variety of metrics at http://:/_status/vars in the format used by the popular Prometheus timeseries database. Two of these metrics export how close each node's clock is to the clock of all other nodes:
Metric Definition
clock_offset_meannanos The mean difference between the node's clock and other nodes' clocks in nanoseconds
clock_offset_stddevnanos The standard deviation of the difference between the node's clock and other nodes' clocks in nanoseconds
As described in the above answer, a node will shut down if the mean offset of its clock from the other nodes' clocks exceeds 80% of the maximum offset allowed. It's recommended to monitor the clock_offset_meannanos metric and alert if it's approaching the 80% threshold of your cluster's configured max offset.
You can also see these metrics in the Clock Offset graph on the Admin UI's Runtime dashboard.
How do I prepare for planned node maintenance?
> SET CLUSTER SETTING server.time_until_store_dead = '15m0s';
> RESET CLUSTER SETTING server.time_until_store_dead;
 > SET CLUSTER SETTING server.shutdown.drain_wait = '10s';
See also
YesYes NoNo


What happends if urine or alchol get into your eyes?
i want pink eye what wi;; hapend if urine or alchohol gets in to my eyes
Pink eye is when you have feces particles in your eye.
So. do that? ROFL.
umm if you put alcohol in yer eye you'll dance blind. spray perfume in yer eyes, it'll make em look like youu own pink eye xD
It would probably sting badly. Alcohol does when you catch it on your skin (I think) and urine has uric acid.
Related Questions:
 - Do you know what this ability: right bundle branch block?
 - What is flaky skin.?
 - Is it possible to enjoy pneumonia or bronchitis lacking a confusion or have a cold/flu first?
 - Is within a means of access of contracting genital herpes minus have intercourse?
 - I hold be diagnosed beside depression?
 - Diseases Conditions


text:
Skip to Main Content
This brief paper considers multirate control from the viewpoint of computation saving. When a digital control system involves multiple actuators with different bandwidths, feedback loops may be closed at different rates: a fast rate for a high bandwidth loop and a slow rate for a low bandwidth loop. Multirate implementation of a single loop controller is possible by decomposing the control algorithm to fast and slow rate blocks. Such implementations of digital controllers will reduce the total amount of computation. The slow rate part of the controller may be further decomposed and interlaced so that computation saving by multirate control may be distributed uniformly at all fast rate sampling instances. The performance of multirate control implementations for computation saving are applied to the dual actuator track following problem of computer hard disk drives (HDDs). The experimental results show that the multirate implementations achieve regulation performance of the position error signal at about the same level as the single-rate implementation while realizing significant computation saving.

source: openbmb/Ultra-FineWeb


Chanting Nam Myoho Renge Kyo
Nichiren (1222-82) established the chanting of Nam-myoho-renge-kyo as the way to awaken one's Buddha nature and tap into the deepest level of our existence, where our own lives and that of the universe are one. He first taught the invocation of the phrase to a small group at Seicho-ji temple in Awa province, Japan, on April 28, 1253.
Nam derives from the Sanskrit word namu , meaning "to devote oneself." Nichiren established the practice of chantingNam-myoho-renge-kyo as a means to enable all people to put their lives in harmony or rhythm with the Buddhist law, or Dharma. In the original Sanskrit, namu indicates the elements of action and attitude, and refers therefore to the correct action one needs to take and the attitude one needs to develop in order to attain Buddhahood in this lifetime.
The lotus flower grows and blooms in a muddy pond, and yet remains pristine and free from any defilement,symbolising the emergence of Buddhahood from within the life of an ordinary person in the midst of the struggles of day-to-day existence.
Kyo literally means sutra, the voice or teaching of a Buddha. In this sense, it also means sound, rhythm or vibration. In a broad sense kyo conveys the concept that all things in the universe are a manifestation of the Mystic Law.
SGI President Daisaku Ikeda on chanting daimoku:
"Being human, it's quite natural for our minds to wander, for all sorts of thoughts and memories to surface. [...] There is no set form or pattern for how we should pray. Buddhism emphasises being natural. Therefore, simply chant earnestly without pretence or artifice, just as you are. In time, as your faith develops, you'll naturally find it easier to focus your mind when you chant.
"It's natural for prayers to centre on your own desires and dreams. [...] By chanting very naturally, without affectation or reservation, for what you seek most of all you'll gradually come to develop a higher and more expansive life-condition. Of course, it's perfectly fine as well to chant with the resolve to become a bigger-hearted person or for the welfare of your friends and for kosen-rufu - the happiness and flourishing of all humankind."


text:
The Sampling check generates a set of features from one or more layers that you can step through to visually inspect. The sample is generated from the feature classes you choose to include based on what is loaded in the map. You can also assign weights to the feature classes, which increases or decreases the number of features for the feature classes that are included in the sample. A value of 1 is the highest weight; 5 is the lowest.
The sample is calculated based on one of the following methods:
- A fixed number of features
- A percentage of all the features in the specified extent
- A number derived from a calculation based on the confidence level, margin of error, and acceptance level
- A polygon grid that is loaded in the map or from a geodatabase
You can choose to run this check on any of the extents that are usually available with checks, such as the selection set, current extent, or the full database.
Once you have defined the criteria for the check, you can configure the notes and a severity rating. The notes allow you to provide a more specific description for the feature that has been written to the Reviewer table and are copied to the Notes field in the Reviewer table. The severity rating allows you to indicate how important the results from a check are in terms of your quality assurance/quality control processes. The lower the number, the greater the priority the check's results have.
- Start ArcMap.
- Open a map document or load data in the map.
- On the main menu, click Customize > Toolbars > Data Reviewer.
- Start a Reviewer session in one of the following:
- Click the Select Data Check drop-down arrow on the Data Reviewer toolbar, click the plus sign next to Advanced Checks, then click Sampling Check.
The Sampling Check Properties dialog box appears. All the visible layers that are currently loaded in the map appear in the Choose Layers list.
- If necessary, type a unique name for the check in the Check Title text box.Note:
The check title can be used to describe the conditions you are looking for with the check. This is useful when you have multiple instances of the same check to validate the same feature classes or tables but with different validation parameters.
- Uncheck the check boxes next to the names of the layers you do not want to include in the sample.
By default, all the visible layers are included in the sample.Tip:
You can click Select All or Clear All to check or uncheck all the check boxes next to the layer names, respectively.
- To adjust the weight, or the significance of the layer in the sample, right-click the layer name in the Choose Layers list and choose a weight option.
- Weight 1 (highest)—The layer is going to have more features included in the sample than other layers with weight values of 2, 3, 4, or 5.
- Weight 2—The layer is going to have more features included in the sample than other layers with weight values of 3, 4, or 5.
- Weight 3—The layer is going to have more features included in the sample than other layers with weight values of 4 or 5.
- Weight 4—The layer is going to have more features included in the sample than other layers with a weight value of 5.
- Weight 5—The layer is going to have the fewest features included in the sample.
- Chose a method for generating the sample.
- Number—A specified number of features from the feature classes chosen in the Choose Layers list is included in the sample.
- Percentage—A specified percentage of the features from the feature classes chosen in the Choose Layers list are included in the sample.
- Auto Calculate—The number of features included in the sample is determined by the following:
- Confidence Level—The level of confidence that the sample size is statistically significant. The default value is 95%, but you can also choose 90%, 98%, or 99%
- Margin Of Error—The acceptable margin of error in the confidence level. The default value is 4%, but you can also choose other values that range from 1% to 10%.
- Acceptable Error—Indicates the acceptable error ratio. The default value is 2%, but you can also choose 1%, 5%, or 10%.
- Do one of the following to configure the calculation method:
To create the sample based on a specific number of features
Click the Number option, then type the number of features you want to include in the sample in the text box.
To create the sample based on a percentage
Click the Percentage option, then type the value that represents the percentage of all the features you want to include in the sample in the text box.Note:
The value specified for the percentage is divided by 100. For example, if you want to sample 50 percent of the features, type 50 not.5.
To create the sample based on automatic calculation
Click the Auto Calculate option, then click the Confidence Level drop-down arrow to choose the confidence level for the data, click the Margin Of Error drop-down arrow to choose the acceptable margin of error for the data, or click the Acceptable Error drop-down arrow and choose the acceptable level of error for the sample.
To create the sample using a polygon grid
Click the Use Grid option. Click the drop-down arrow in the Grid Parameters area to choose the polygon grid or click Browse to load one. Click the Unique ID Field drop-down arrow and choose the field that contains the field you want to use to identify the grid cell. Type the number of cells you want to use in the sample in the Number of grids to sample text box.Tip:
The value you choose from the Unique ID Field drop-down list populates the QC_GRID cell in the Reviewer table.
- If necessary, type descriptive text for the check results in the Notes text box in the Reviewer Remarks area.
If necessary, click the Severity drop-down arrow and choose a value that indicates the priority of the check's results in the Reviewer Remarks area.
The severity indicates the importance of the check result. The values range from 1 to 5, with 1 being the highest priority and 5 being the lowest.
Click the Run Data Check button on the Data Reviewer toolbar.
The Features to Validate dialog box appears.
Choose an option in the Features to Validate area.
- Selection Set—The check is run on the features that are currently selected in the map.
- Current Extent—The check is run on the current map extent, which is controlled by the map scale.
- Definition Query—The check is run on the features that are displayed based on definition queries that have been created for the feature class.
- Full Database—The check is run on all the features in the feature class.
To run the check only on features that have been edited in a versioned workspace, check the Changed Features Only check box.
The Changed Features Only option is available only for a versioned database.
- Click OK.
A progress window appears while the sample is being generated. The results dialog box appears once the check is finished running.
- Choose the Write to Reviewer Table option.
- Click OK.
The sampling check records are written to the Reviewer table.

source: HuggingFaceFW/fineweb-edu


text:
General Internal Medicine (FMH)
Praxis Dr. Wagener offers you not only GP services, but also treatments for all disorders and illnesses from the entire spectrum of general internal medicine.Schedule an appointment
Holistic medicine for your well-being
In the case of acute or chronic complaints, the Praxis Dr. Wagener team will conduct comprehensive medical tests to diagnose the exact problem. For the best possible individualised therapy, we can refer you to a recognised specialist in their field according to your diagnosis. Our medical expertise is complemented by components from complementary healing methods in order to best support your journey to recovery.
What we offer:
- Pulmonary function
- 24-hour blood pressure measurements
Areas of application
In the field of general internal medicine, we offer our patients a comprehensive range of treatments. This includes the following illnesses:
- DISEASES OF THE RESPIRATORY ORGANS (E.G. PNEUMONIA, BRONCHITIS, ASTHMA)
- DISEASES OF THE HEART
- DISEASES OF THE GASTROINTESTINAL TRACT
- DISEASES OF THE KIDNEY
- METABOLIC DISORDERS (E.G. DIABETES)
- VARIOUS ONCOLOGICAL DISEASES
Types of treatment
Our basic principles are aligned towards the individual needs of our patients. At the same time, we utilise our collective experience to improve your well-being. This means that we employ medicines carefully and only where necessary, and also include additional complementary treatment methods where appropriate.
Information on treatment
Our primary aim is to guarantee competent assistance in the event of an illness. Hence, we make it a point to discuss the diseases and various therapy options with our patients in detail. We are also available to answer family members' questions and concerns.
We work together closely with specialists from various fields, such as cardiology, orthopaedics, and gastroenterology. This allows even complex clinical symptoms to be diagnosed and treated in a professional and well-founded manner. Where necessary, we ensure a rapid referral so that no precious time is lost for clarification and treatment for our patients.


text:
Design and Analysis of Engine Lubrication Systems 970637
Methods for the design and analysis of engine lubrication systems have been developed and illustrated in a case study - a four cylinder high speed direct injection (HSDI) diesel engine for passenger car applications. The paper gives design methods and strategies for pump sizing and flow balance, including allowance for the worn engine applicable to a variety of engine classes. In addition the paper gives mathematical models for oil flows through piston cooling jets and plain journal bearings - fully grooved, partially grooved and plain bearings with a single oil hole feed. Methods presented can be used to design lubrication systems for optimum and practical specification of oil pump size, pressure relief valves, by-pass filtration, gallery sizes, oil flow through bearings in the cylinder head and cylinder block and piston cooling jets as well as calculating parasitic losses in the engine due to hydrodynamic pumping.

source: m-a-p/FineFineWeb


text:
Analyze the IP address, browser version, and other visitor details from the last seven days.
The Activity log panel in Squarespace analytics is a searchable list of every time a visitor accessed a URL (a page or post) on your site in the past seven days. Each page visit is its own entry with detailed information such as:
- IP address
- Browser version
- Operating system
The activity log helps you review traffic in granular detail, which can give you insight into:
- The geographic location of your visitors by IP address
- How visitors in specific locations find your site
This may be useful if you've noticed an unusual spike in a short amount of time. It's also a great way to identify the geographical location of visitors by IP address.
The Activity log panel is available in all plans.
Before you begin
- The activity log only shows activity for the previous seven days.
- The activity log tracks visitor activity, not login or editing activity. If you access the site using your custom domain, that visit displays in your activity log.
- A browser's privacy settings could prevent the activity log from capturing every detail about the visitor.
- It's not possible to block specific IP addresses from your site.
Review the Activity log panel
- Open the Analytics panel, click Engagement, then click Activity log.
- The activity log shows the most recent 50 entries from the previous seven days. Each row in the table is a page visit. Scroll down to the bottom and click Load more to view the next 50.
- The Page visited column identifies pages by their page title. If you change a page's title, the Activity log will continue to show the old page title for up to seven days after the change.
Click the search / magnifying glass icon to find activity in the log by:
- Visitor IP address - The IP address, shown in the Visitor IP address column
- Page visited - The page or post title accessed, shown in the Page visited column
- Referrer - By the URL the visitor previously accessed, if this information is available to Squarespace. You can find each log's referrer by clicking on its row.
Tap Analytics, then tap Activity log.
- The activity log shows the most recent entries from the previous seven days.
- Location data is approximate based on the visitor's IP address.
- Each row is a page visit. Scroll to view more.
- Tap any visit to review the site path of every page or post visited, and the time they loaded each URL.
Disable activity log
Some countries have privacy laws about individuals' data, including data that websites collect from visitors. This may include the information which displays in the activity log. To disable the activity log:
- Open the Cookies & Visitor Data panel.
- Scroll down, and switch the Activity Log toggle off.
Disabling the activity log removes all data from the panel. To re-enable the activity log, switch the toggle on.
Note: This guide is available as a resource, but shouldn't be construed or relied upon in any way as legal advice. Per our Terms of Service, Squarespace doesn't provide advice or recommendations regarding laws applicable to your site or business.


text:
This is the wildflower for which the Burren in County Clare is famed. Although there are many startlingly attractive flowers growing in this wonderful limestone area of western Ireland, the Spring Gentian is the plant which has become best known of all by those seeking to see the Burren's great variety of flowers. Its pure, bright blue solitary flowers (20–25 mm across) are extremely beautiful. As each of the five petal tubes unfurl, they spread to reveal a little white throat. Each flower has small fringed lobes or scales between its petals. The flowers are borne on upright stems, the leaves being bright green, oval, mostly in a basal rosette. These exquisite flowers bloom from late April to June. They are best found on grassy areas, near sand dunes and rocky pastures. In Ireland they are confined to the Burren and parts of Counties Galway and Mayo. This native plant belongs to the Gentianaceae family.
I first identified this wildflower in 1979 near Bishop's Quarter in the Burren. I photographed it at the Rine, also in the Burren in 2004.
If you are satisfied you have correctly identified this plant, please record your sighting for the 2013 wildflower mapping survey at _URL_


text:
On the Feasibility of DHT Lookup in Ad-Hoc Networks
Date de parution
Various peer-to-peer (PIP) architectures for ad-hoc networks have been proposed over the last few years. Most of them are unstructured and use some form of flooding to locate content, because the physical constraints of the underlying network make the construction of arbitrary application-layer overlays impractical. In this paper, we study the problem of applying distributed hash tables (DHT) for mobile ad-hoc networks. Our approach to efficiently lookup content in such networks exploits physical proximity of peers when establishing and maintaining the DHT based routing tables. Tire efficiency of our method is demonstrated by simulation of large networks.
Type de publication
Dossier(s) à télécharger


text:
From Bulbapedia, the community-driven Pokémon encyclopedia.
- "Immunity" redirects here. For the type mechanic, see Damage modification → Not effective.
Immunity (Japanese: めんえき Immunity) is an Ability introduced in Generation III. Only three Pokémon can have this Ability.
Immunity prevents poisoning.
Outside of battle
Pokémon with this Ability can't take damage from poison outside of battle.
Pokémon with Immunity
In the manga
In the Pokémon Battle Frontier manga
- If a poisoned Munchlax evolves and gains Immunity, it will remain poisoned as a Snorlax despite its Ability.
- The reason why Zangoose has this Ability may be because of its rivalry with Seviper, a Pokémon known for its Poison-type attacks.
In other languages


text:
To follow along with the example, enter values or select options as shown in the instructions throughout the cue cards. Then you will be able to follow the steps in the cue cards exactly as written.
JSF page navigation is a set of navigation rules that determine the next page to be displayed when a user clicks a button or link on a page. The navigation rules are defined in the JSF application's configuration resource file, which is named
faces-config.xml by default.
All JSF applications have a
faces-config.xml file. The JSF configuration file contains details of your application, such as the locales you are supporting and the rules for navigating between application pages. The configuration file also holds details of the resources needed by your application, such as:
When you create an application in JDeveloper using a template for a JSF application or when you create a JSF page, a
faces-config.xml file is automatically created for you in the project. When you create an application without using a template, you can create the
faces-config.xml file using the Create JSF Configuration File dialog.
To open the Create JSF Configuration File dialog, in the Application Navigator, you will right-click the project and choose New. Then in the New Gallery, expand the Web Tier category and choose JSF, and in the Items list, choose JSF Page Flow & Configuration (faces-config.xml).
In the Create JSF Configuration File dialog, you will select the web application version, as this is the first JSF configuration file to be created in the project.
By default, JDeveloper opens a new
faces-config.xml file in the JSF navigation diagrammer.
In JDeveloper, there are three ways you can add information to or edit a JSF configuration file. In the editor window, you can click:
All these tools edit the same JSF configuration file; use whichever tool is most appropriate for each item you are adding or editing.
In the example, you will use the JSF navigation diagrammer. You will create three pages and define two possible ways to navigate from one of the pages to the other two pages. You will use JSF diagram objects from the Component Palette to draw the page representations and the navigation between the pages on the JSF navigation diagram.
Copyright © 1997, 2009, Oracle. All rights reserved.


A Lesson before Dying Short Answer Test - Answer Key
Buy the A Lesson before Dying Lesson Plans
1. Who says that all in the courtroom know what the outcome of the trial will be?
The unnamed narrator
2. Who is the young African American man at the center of the trial?
3. Which of the following men did not get into the car to go to the bar?
4. Where did the men in #3 end up going?
White Rabbit Bar and Lounge
5. Who was the owner of this bar?
Alcee Grope
6. Who grabs a gun and starts shooting?
7. Where does Grant drive Miss Emma and Tante Lou?
To Henri Pichot's home
8. Who is the maid at the house in #7?
9. What does Rougon's family own in a neighboring town?
A bank
(read all 180 Short Answer Questions and Answers)
This section contains 3,610 words
(approx. 13 pages at 300 words per page)
Buy the A Lesson before Dying Lesson Plans
A Lesson before Dying from BookRags. (c)2014 BookRags, Inc. All rights reserved.


Dumping Ticket Export to a CSV
1. Introduction
Objective: To download the data from the ticket export endpoint to a CSV file. The reason for this is because many customers want to analyze their Zendesk data in a secondary program (other then GoodData) such as Excel.
Notes: While we are developing and testing our code we'll want to use the sample endpoint which gives us the same sample data over and over. The purpose of this is that the sample endpoint is more forgiving and developed for this very purpose.
2. Setup
Let's get started with curlWrap.
 1. You can get the curlWrap function here:
 2. Put this in a new script file called csv.php
 3. We need to create a new file, of course. The code below will store our filename to a variable and create a file handler.
 $myFile = "tickets.csv";
 $fh = fopen($myFile, 'w');
 4. We now have a file handler that is stored in the variable $fh. When we refer to things we will be doing with our new CSV file we will use that variable.
 5. The ticket export endpoint requires a date/time stamp that is in a specific format called UTC Epoch time. Without getting overly technical this is a timestamp, in seconds, since some point in time long ago. To do this we'll use two functions.
 This sets the timezone to UTC:
 date_default_timezone_set('UTC');
 This tells our program how far back we want to go.
 $time = strtotime("-8 hours");
 You might be wondering what that means? The ticket export endpoint gives us all tickets that were touched between two time periods. The hitch is that the ending time period is always now (ie: when we run the command). The shortest increment we can go back is 5 minutes. In this case we are going to pull a list of tickets from the last 8 hours.
 6. Now we pull our data from the endpoint:
 $decoded = curlWrap("/exports/tickets/sample.json?start_time=_PHONE_", null, "GET");
3. Building the CSV
Let's build our CSV.
 1. Now we need to create the header of our CSV. The header usually contains all the column headings we want to use. To create this heading we'll copy the first row of data to a variable called $first. Then we'll convert this to an array (since it started out as an object, if this doesn't make sense, don't worry!) and finally, we'll flip it so that all the values are keys and the keys are values.
 $first = $decoded->results[0];
 $first = (array) $first;
 $keys = array_keys($first);
 2. Now we have a column headings in the array called $keys. We need to write this to our CSV. We use the function fputcsv:
 fputcsv($fh, $keys, ",", "\"");
 3. As you can see, fputcsv takes 4 arguments: the file handler ($fh), the array of data to write (in this case, the keys), the delimiter (ie: comma) and the character to use to encapsulate each field (you should stick with the quote mark ("). For the last paramater, you'll need to "escape" the quote. To do this simply but a backslash before the quote mark so php knows that the quote character is being referenced.
 4. Finally, we iterate through each result we got from Zendesk and write it to the file we are working on. We do this like so:
 foreach($decoded->results as $result){
 $result = (array) $result;
 fputcsv($fh, $result, ",", "\"");
 }
 5. As you can see above, we need to convert (like we did before) from an object to an array. We do this the same way as before by putting (array) infront of the variable. This is known as casting.
 6. The last thing we do is "close" the file we are working on. We do this with this command:
 fclose($fh);
4. The Final Product
When you run the script you will get a CSV file back with the ticket data we were interested in. I have added to the GitHub repository a sample of the kind of file we will get back from the process. It is called tickets.csv.
Have more questions? Submit a request
Comments
 - Avatar
 Lam Lnu
 I just downloaded the file in github and put it in htdocs folder then run. The return value $decode is not a Object and I got this error:
 Notice: Trying to get property of non-object in C:\xampp\htdocs\dev\csv.php on line 55
 Notice: Trying to get property of non-object in C:\xampp\htdocs\dev\csv.php on line 59
 Warning: Invalid argument supplied for foreach() in C:\xampp\htdocs\dev\csv.php on line 59

 Could you help me with this error?
 Thank you.
 - Avatar
 Adam
 @Lam, did you replace the define variables correctly? In addition, since you are using WAMP, did you enable curl correctly as well?
 - Avatar
 Benoit
 Thanks a lot Adam it is working fine ! :)
 - Avatar
 Morgan A
 Hi Adam,
 When running your script on a windows machine using Cygwin/Wamp server I get the same errors as Lam, I have curl installed and enabled with JSON also installed and enabled, when I run the same code on a unix/linux machine I get no errors but I see that I'm not getting all of my tickets.
 If i set the date back to 2 weeks it gets a couple of days worth of tickets (About 1000 lines), if I set it to a month I get the same number of lines back (1000 lines).
 Is there any way of changing this to get all my tickets which is stated in $time = strtitune("-2 weeks"); ?
 Also is there any work around to lines 60: $decoded->results[0]; and 64 foreach($decided->results as $result)?

 Thank you.

 - Avatar
 Adam
 Hi Morgan,

 yeah, in regards to the first issue, I just wouldn't use windows if you can help it. Even as a development environment. In regards to the second issue, it's because I never built this to do paging. We page out 1000 records at a time. If you want to get the next 1000 records, you have to get the end time from the previous run and re-run the script 5 minutes later with the end time as the new start time.

 I kind of built this to just do 1000 records at a time. It was also just written as a proof of concept.

 What's the problem with those lines? I'm not getting it.
 - Avatar
 Morgan A
 Is it possible to do more then 1000 records at a time without having to wait for 5 minutes? We deal with thousands of tickets daily and we use our own spread sheet to view the data.
 Or is there any way of getting the script to do paging?
 Thank you.
 - Avatar
 Brandon K.
 Hello Morgan,
 The rate limit should not be 1000 tickets every 5 minutes, it should be 1000 every minute. Additionally, we only return the tickets that have changed within that time frame. The documentation states this at developer.zendesk.com. The endpoint is designed so people can poll the next_page endpoint every minute to get another 1000 tickets per minute without having to calculate the next start value. Some of our largest customers use this endpoint extensively without issue, so hopefully knowing how it is supposed to work will help you in setting up your workflow.
 - Avatar
 Morgan A
 Thank you Brandon.
 I got it working but the only issue now is that it's pulling the times were tickets are updated, is it possible to dump the tickets by the created date field.
 So if i'm dumping 7 days worth of tickets it will get all tickets created from day 1 to 7.
 Thank you once again for the help.
 M.A
 - Avatar
 Brandon K.
 Hello Morgan,
 I checked with one of our engineers and unfortunately it is not possible to pull tickets by their created date. I'm very sorry.
 - Avatar
 Evelyn Yoder
 In Chrome, this page is formatted badly. See attached.
 - Avatar
 Laura D.
 Hi Evelyn,
 Looks like something extra got pasted in the article - I fixed it, thanks for the heads up :)
 - Avatar
 Armin Vazehgoo
 Could you provide an example of code that would replicate the repeated ticket export base on the end_time and next_page?
 I am trying to dump all the tickets into a CSV which is eventually being imported into a MySQL DB, therefore, I would like to be able to retrieve all the tickets every time I run the export through the API.
 - Avatar
 Adam
 Hi Armin,

 Unfortunately this was written to be a starting point for most projects. I understand that it lacks


text:
Columbia, SC (WLTX) -- A cold front moved through the state early this morning bringing with it some of the coldest temperatures we have seen in years.
High temperatures were already reached this morning and will only go down throughout the afternoon and especially tonight.
Winds will be strong at times too, blowing out of the west at 20-25 mph with gusts even stronger. Related Coverage: Cold Weather Safety Tips
The winds will make it feel even cooler at times during the day.
Tuesday morning we are expecting temperatures to drop into the middle teens. These cold temperatures combined with gusty winds will lead to dangerous wind chill temperatures. This means it will feel like 0° or even lower in some spots.
A wind chill advisory is in effect from 1AM - 10AM Tuesday.
The record low for Tuesday in Columbia is 16° and that was set in 1924, while the record minimum high temperature is 31° from 1988. Both of those records could be in jeopardy.
Wednesday morning will be very cold too with lows falling into the upper teens, but this would be above the record of 12° set in 1970.
Temperatures will begin to moderate closer to normal by the end of the workweek and by Saturday we may see temperatures in the lower 60s for highs.


text:
COLONIAL HACIENDAS, ROSE PLANTATIONS & MEDICINAL HERBAL PLANTS
KTQ102 - 2 Days / 1 Nights - Departures: daily except Sundays / from Quito
Nature & Wildlife, Volcanoes, Gastronomy, Anthropology, Train Tour, Ethnicities, Handicrafts, Community Projects
Day 1: Quito – Rose Plantation – Peguche – Otavalo
Leaving Quito north along the Panamerican Highway we drive across colorful valleys. Guayllabamba valley, an important area producing avocado and the local chirimoya fruit (custard apple). Cayambe valley on the other hand, traditionally dedicated to dairy cattle and manufacturing of dairy products, in the last three decades, has seen an important boom in rose farming. The region offers great photo opportunities. Arrival in the province of Imbabura, known as the "Ecuadorian lake province".
This tour will take us to one of the rose plantations of the region. Delight your senses in observation of the process of rose producing activity, from the hoop houses to the post-harvest rooms. Beauty in colors, perfume and the sizes of the roses will prove to be a tour for the senses!
Visit the village of Peguche, known for traditional weaving and the handcrafted Andean musical wind instruments. Time for lunch (not included). Overnight at nearby colonial hacienda.
Day 2: Otavalo – Magdalena – harvesting techniques - Quito
Breakfast. Continue to drive towards the indigenous community of Magdalena, located in rolling hills east of the Imbabura volcano. The women of the region traditionally have embroidered the blouses of their costumes, now you can purchase utilitarian goods with this beautiful multicolored embroidery.
Community members demonstrate local planting techniques, including the materials and animals used to farm a variety of products including potatoes, quinoa, lupin, corn, beans, wheat and other vegetables depending on their harvesting seasons.
To plow their land they use oxen, and have no need for fuel, thus protecting their environment. The Karanki culture creates their own "guachos" (rows of land for sowing), and use spades, curved shovels and yokes, or wooden rests with hoes attached to them that the ox pulls as it plows the land. Enjoy a traditional lunch prepared by the women of the community. Return to Quito.


Building a Source RPM from a Tarball
Onload User Guide (UG1586)
Document ID
UG1586
Release Date
2023-07-31
Revision
1.2 English
Alternatively, a source RPM can be built from the Onload tarball.
 1. Download the required tarball from the NIC Software and Drivers web page.
 2. As root, execute the following command:
 rpmbuild -ts onload-<version>.tgz*
 x86_64 Wrote: /root/rpmbuild/SRPMS/onload-<version>.src.rpm
 The output identifies the location of the source RPM. For instructions on installing this, see Building and Installing from a Source RPM.
 Note: Use the -ta option to generate a binary RPM.


Tangent Lines ( Read ) | Geometry | CK-12 Foundation
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Tangent Lines
Practice Tangent Lines
Practice Now
Tangent Lines
What if a line were drawn outside a circle that appeared to touch the circle at only one point? How could you determine if that line were actually a tangent? After completing this Concept, you'll be able to apply theorems to solve tangent problems like this one.
Watch This
Tangent Lines CK-12
First watch this video.
James Sousa: Tangent Lines to a Circle
Now watch this video.
James Sousa: Tangent Lines to a Circle Example Problems
There are two important theorems about tangent lines.
1) Tangent to a Circle Theorem: A line is tangent to a circle if and only if the line is perpendicular to the radius drawn to the point of tangency.
\overleftrightarrow{BC} is tangent at point B if and only if \overleftrightarrow{BC} \perp \overline{AB}.
This theorem uses the words "if and only if," making it a biconditional statement, which means the converse of this theorem is also true.
2) Two Tangents Theorem: If two tangent segments are drawn to one circle from the same external point, then they are congruent.
\overline{BC} and \overline{DC} have C as an endpoint and are tangent; \overline{BC} \cong \overline{DC}.
Example A
\overline{CB} is tangent to \bigodot A at point B. Find AC. Reduce any radicals.
\overline{CB} is tangent, so \overline{AB} \perp \overline{CB} and \triangle ABC a right triangle. Use the Pythagorean Theorem to find AC.
Example B
Using the answer from Example A above, find DC in \bigodot A. Round your answer to the nearest hundredth.
DC & = AC - AD\\DC & = \sqrt{89}-5 \approx 4.43
Example C
Find the perimeter of \triangle ABC.
AE = AD, \ EB = BF, and CF = CD. Therefore, the perimeter of \triangle ABC=6+6+4+4+7+7=34.
\bigodot G is inscribed in \triangle ABC. A circle is inscribed in a polygon if every side of the polygon is tangent to the circle.
Tangent Lines CK-12
Guided Practice
1. Find AB between \bigodot A and \bigodot B. Reduce the radical.
2. Determine if the triangle below is a right triangle.
3. If D and C are the centers and AE is tangent to both circles, find DC.
4. Find the value of x.
1. \overline{AD} \perp \overline{DC} and \overline{DC} \perp \overline{CB}. Draw in \overline{BE}, so EDCB is a rectangle. Use the Pythagorean Theorem to find AB.
2. Again, use the Pythagorean Theorem. 4\sqrt{10} is the longest side, so it will be c.
Does 8^2+10^2 \ & = \ \left ( 4\sqrt{10} \right )^2?\\64+100 & \ne 160
\triangle ABC is not a right triangle. From this, we also find that \overline{CB} is not tangent to \bigodot A.
3. \overline{AE} \perp \overline{DE} and \overline{AE} \perp \overline{AC} and \triangle ABC \sim \triangle DBE by AA Similarity.
To find DB, use the Pythagorean Theorem.
To find BC, use similar triangles. \frac{5}{10}=\frac{BC}{26} \longrightarrow BC=13. \ DC=DB+BC=26+13=39
4. \overline{AB} \cong \overline{CB} by the Two Tangents Theorem. Set AB = CB and solve for x.
Determine whether the given segment is tangent to \bigodot K.
Find the value of the indicated length(s) in \bigodot C. A and B are points of tangency. Simplify all radicals.
A and B are points of tangency for \bigodot C and \bigodot D.
 1. Is \triangle AEC \sim \triangle BED? Why?
 2. Find CE.
 3. Find BE.
 4. Find ED.
 5. Find BC and AD.
\bigodot A is inscribed in BDFH.
 1. Find the perimeter of BDFH.
 2. What type of quadrilateral is BDFH? How do you know?
 3. Draw a circle inscribed in a square. If the radius of the circle is 5, what is the perimeter of the square?
 4. Can a circle be inscribed in a rectangle? If so, draw it. If not, explain.
 5. Draw a triangle with two sides tangent to a circle, but the third side is not.
 6. Can a circle be inscribed in an obtuse triangle? If so, draw it. If not, explain.
 7. Fill in the blanks in the proof of the Two Tangents Theorem.
Given : \overline{AB} and \overline{CB} with points of tangency at A and C. \overline{AD} and \overline{DC} are radii.
Prove : \overline{AB} \cong \overline{CB}
Statement Reason
1. 1.
2. \overline{AD} \cong \overline{DC} 2.
3. \overline{DA} \perp \overline{AB} and \overline{DC} \perp \overline{CB} 3.
4. 4. Definition of perpendicular lines
5. 5. Connecting two existing points
6. \triangle ADB and \triangle DCB are right triangles 6.
7. \overline{DB} \cong \overline{DB} 7.
8. \triangle ABD \cong \triangle CBD 8.
9. \overline{AB} \cong \overline{CB} 9.
 1. Fill in the blanks, using the proof from #21.
 1. ABCD is a _____________ (type of quadrilateral).
 2. The line that connects the ___________ and the external point B __________ \angle ABC.
 2. Points A, \ B, and C are points of tangency for the three tangent circles. Explain why \overline{AT} \cong \overline{BT} \cong \overline{CT}.
point of tangency
point of tangency
The point where the tangent line touches the circle.
The distance from the center to the outer rim of a circle.
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Optical Surface Tension Measurement of Two-Dimensionally Confined Liquid Surfaces
Myungwha Chung, Christian Pigot, Sebastian Volz, Akihide Hibara
Research output: Contribution to journalArticlepeer-review
4 Citations (Scopus)
Abstract
Surface tension measurement based on spontaneous capillary wave resonance in confined micrometer-sized liquid interfaces was demonstrated. A single-beam quasi-elastic laser scattering method was used to detect the resonance. Characteristic resonant modes were observed on a 44-μm-sized circular water surface. The frequencies of the peaks agreed well with those simulated by assuming planar resonance, and the relationship was further confirmed for triangular, square, and pentagonal water surfaces. Then, the applicability of the method was successfully demonstrated by surface tension measurements of aqueous solutions of sodium dodecyl sulfate. The sensitive detection of capillary resonance opens new possibilities for the chemical and biochemical analysis of liquid interfaces.
Original languageEnglish
Pages (from-to)8092-8096
Number of pages5
JournalAnalytical Chemistry
Volume89
Issue number15
DOIs
Publication statusPublished - 2017 Aug 1
ASJC Scopus subject areas
 - Analytical Chemistry
Fingerprint Dive into the research topics of 'Optical Surface Tension Measurement of Two-Dimensionally Confined Liquid Surfaces'. Together they form a unique fingerprint.
Cite this


Ford Thunderbird makes sloshing water sound – causes and how to fix it
Sloshing sounds in the cabin of Ford Thunderbird should not be ignored. If the noise is due to accumulation of water somewhere, it can lead to unwanted bacteria growth like mold or mildew, which can cause musty odor in your vehicle.
Ford Thunderbird
Ford Thunderbird – (Stasiuk / Shutterstock)
The most common causes of sloshing sound in Ford Thunderbird are clogged evaporator condensate drain, low coolant, air in coolant system, clogged door drain, and clogged windshield drain.
1. Clogged evaporator drain
When you turn on the air conditioning system in your Thunderbird, moisture develops along the evaporator coil and then drips down into a condensate drain pan, which then drips under the vehicle. If the drain is clogged or is not draining properly, water will accumulate in the pan and make sloshing sound when the vehicle is moving.
Risk of mold growth
The stagnant water in the evaporator condensate pan becomes a perfect breeding ground for mold growth and can also cause the water to leak on the floorboard of your Ford Thunderbird. When the AC is in operation, air passes through the evaporator area and if there is mold growth, the air from the AC vents will smell bad. Inhaling these unpleasant musty odors is not only irritating, breathing the airborne microscopic mold spores can cause allergic reactions in sensitive individuals; such as sneezing, runny nose, red eyes, nausea, and skin rash.
Symptoms of clogged drain
If the moisture/water is accumulating in the condensate pan due to clogged drain, you may hear a sloshing water sound coming from behind the dashboard and is especially noticeable when making turns and when braking. If left unchecked, the interior of your Thunderbird may develop bad moldy smell especially when you turn on the AC. Another symptom is damp floorboard; if too much water accumulates in the pan, it can overspill into the interior of your vehicle.
How to unclog the drain
The easiest method to unclog a condensate drain in Thunderbird is by using compressed air. Locate the evaporator drain tube under your vehicle and blow compressed air into the tube hole. Dirty moldy water may gush out as soon as you blow in compressed air, so wear safety glasses and keep your face away from under the drain tube.
If you don't have compressed air, you can try unclogging the drain by inserting a flexible wire into the tube hole. Give it a good wiggle to loosen up any caked-in dirt and grime in the drain.
2. Low coolant
Low coolant level in Thunderbird can cause sloshing sound from behind the dashboard when the engine is running. The sound is most prominent right after you start the vehicle.
Why low coolant causes sloshing sound in Thunderbird
The heating system in Thunderbird uses warm coolant/antifreeze from the engine block to heat the interior of the vehicle. The warm coolant is pumped through the heater core located behind the dashboard. When you turn on the heating, air gets blown through the heater core, warming the air in the cabin. When the coolant level is low, air bubbles may form in the system which can cause sloshing sound from the heater core.
Check the coolant level in your vehicle. If the level is low, pour some coolant into the coolant reservoir until its filled to the recommended level. If the coolant level goes down again after driving for a few days or weeks, there may be a leak in the cooling system.
3. Air in the coolant system
Even if the coolant level is normal in Thunderbird, air pockets can still form in the cooling system due to a leak (for example, when the radiator cap does not seal properly), and may cause sloshing sound from the heater core behind the dashboard.
Leaking radiator cap is one of the common cause of air leaks in the cooling system.
If the sloshing sound in your Thunderbird is noticeable when you start the engine or when idling (vehicle is stationary), the culprit is most probably air pockets in the heater core.
Is it safe to drive Thunderbird with sloshing sound from the heater core?
Since sloshing sound from the heater core indicates air pockets in the cooling system of Thunderbird, it can cause the engine to work at higher than normal operating temperatures. To prevent engine damage, it is recommended to bleed the air from the cooling system.
4. Clogged door drain
The doors on Ford Thunderbird are not waterproof, water can enter inside the doors from the window seals when its raining or when going through a carwash. The water then flows out of the vehicle from the drain holes at the bottom of the doors. Over time, dirt and debris can build up and clog the drains. If you hear sloshing sound when the vehicle is moving, especially when braking or accelerating, it could be due to clogged door drains.
How to check for clogged door drain
Checking for clogged door drain is easy. Park your Thunderbird in a quiet place. Open the doors and sway each door back and forth quickly. If you hear sloshing sound, it indicates water accumulation inside the door due to clogged drain.
How to unclog a door drain
In most cases, you do not need to open the door panel to unclog the drains in your Thunderbird. Locate the drain holes under the door and blow compressed air in each hole. If you do not have access to compressed air, you can insert flexible wire inside the holes and give it a good wiggle. Dirty water will gush out of the holes, so keep your face away from under the drains.
5. Clogged windshield drain
If you hear sloshing sound from the front of your Thunderbird or from behind the dashboard when the vehicle is moving, it could be due to clogged windshield drain in the cowl/firewall area.
If too much water accumulates in the cowl area of Thunderbird, it can leak into the vehicle interior and cause mustiness and fungal growth in upholstery and carpets. If this happens a lot, the floorboard will rust through from the inside. In the worst case, damage to control units is also conceivable.
Inspect the cowl area
If you suspect clogged windshield drain to be the cause of sloshing sound, disassemble the cowl components and inspect the area for water accumulation. Remove any dirt and debris that may be clogging the drain.
Conclusion
There are many reasons why your Ford Thunderbird makes water sloshing sound. When looking for the reason, you should start with the most obvious causes that are easy to diagnose: clogged evaporator drain, and clogged door drain.
In any case, it is advisable for laypersons to visit a workshop. A professional mechanic can swiftly diagnose the sloshing sound issue for you.
Author: Nabeel K
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text:
a result. When working with the ROWS clause this must be taken into account.
Aggregates with RANGE
Lastly, adding the RANGE to the OVER clause allows you to create aggregates which go to the beginning or end of the partition. RANGE is commonly used with UNBOUNDED FOLLOWING which goes to the end of the partition and UNBOUNDED PRECEDING which goes to the beginning of the partition. One of the most common use would be to specify the rows from the beginning of the partition to the current row which allows for aggregations such as year to date.
In the example below, we are calculating the average order size over time to the current row. This could be a very effective in a trending report.
,AVG(OrderAmt) OVER (ORDER BY OrderID RANGE BETWEEN UNBOUNDED PRECEDING and CURRENT ROW) as AvgOrderAmt
order by OrderDate;
As you can see, the latest versions of OVER clause supports powerful yet simple aggregations which can help in a multitude of reporting and business solutions. Up next, the last blog in the series – Analytic Functions which are all new in SQL Server 2012.


FORMAT
By default, queries return data in JDBC format, but you can also return data in standard Elasticsearch JDBC, JSON, CSV, YAML or raw formats (only JSON and JDBC are currently supported).
Possible ValuesDefault in DevelopmentDefault in Production
json, jdbcN/AN/A
CUBEJS_DB_EXPORT_BUCKET
The name of a bucket in cloud storage to store the database export snapshots.
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
A valid bucket in the configured cloud storageN/AN/A
CUBEJS_DB_EXPORT_BUCKET=exports-20210505
# Decorated with a data source named 'datasource1'
CUBEJS_DS_DATASOURCE1_DB_EXPORT_BUCKET=exports-20210505
CUBEJS_DB_EXPORT_BUCKET_TYPE
The cloud provider where the bucket is hosted.
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
gcp, s3N/AN/A
CUBEJS_DB_EXPORT_BUCKET_TYPE=gcp
# Decorated with a data source named 'datasource1'
CUBEJS_DS_DATASOURCE1_DB_EXPORT_BUCKET_TYPE=gcp
CUBEJS_DB_EXPORT_BUCKET_AWS_KEY
The AWS Access Key ID to use for the export bucket.
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
A valid AWS Access Key IDN/AN/A
CUBEJS_DB_EXPORT_BUCKET_AWS_SECRET
The AWS Secret Access Key to use for the export bucket.
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
A valid AWS Secret Access KeyN/AN/A
CUBEJS_DB_EXPORT_BUCKET_AWS_REGION
The AWS region of the export bucket.
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
A valid AWS region (opens in a new tab)N/AN/A
CUBEJS_DB_EXPORT_BUCKET_MOUNT_DIR
The mount path to use for a Databricks DBFS mount (opens in a new tab).
Possible ValuesDefault in DevelopmentDefault in Production
A valid mount pathN/AN/A
CUBEJS_DB_EXPORT_BUCKET_REDSHIFT_ARN
An ARN of an AWS IAM role with permission to write to the configured bucket (see CUBEJS_DB_EXPORT_BUCKET).
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
A valid ARN to an IAM Role associated with the target Redshift data sourceN/AN/A
CUBEJS_DB_EXPORT_GCS_CREDENTIALS
A Base64 encoded JSON key file for connecting to Google Cloud.
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
A valid Google Cloud JSON key file encoded as a Base64 stringN/AN/A
CUBEJS_DB_EXPORT_INTEGRATION
The name of the integration used in the database. Only required when using Snowflake and Google Cloud Storage.
When using multiple data sources, this environment variable can be decorated with a data source.
Possible ValuesDefault in DevelopmentDefault in Production
A valid string matching the name of the integration in SnowflakeN/AN/A
CUBEJS_DB_HOST
The host URL for a database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid database host URLN/AN/A
CUBEJS_DB_SOCKET_PATH
The path to a Unix socket that is used to connect to a data source, e.g., MySQL.
Possible ValuesDefault in DevelopmentDefault in Production
A valid path to a socketN/AN/A
CUBEJS_DB_MAX_POOL
The maximum number of concurrent database connections to pool.
Possible ValuesDefault in DevelopmentDefault in Production
A valid numberSee database-specific pageSee database-specific page
CUBEJS_DB_NAME
The name of the database to connect to.
Possible ValuesDefault in DevelopmentDefault in Production
A valid database nameN/AN/A
CUBEJS_DB_PASS
The password used to connect to the database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid database passwordN/AN/A
CUBEJS_DB_PORT
The port for the database connection.
Possible ValuesDefault in DevelopmentDefault in Production
A valid port numberN/AN/A
CUBEJS_DB_PRESTO_CATALOG
The catalog within Presto/Trino to connect to.
Possible ValuesDefault in DevelopmentDefault in Production
A valid catalog name within a Presto/Trino databaseN/AN/A
CUBEJS_DB_QUERY_TIMEOUT
The timeout value for any queries made to the database by Cube.
Possible ValuesDefault in DevelopmentDefault in Production
A number in seconds or a duration string10m10m
CUBEJS_DB_FETCH_COLUMNS_BY_ORDINAL_POSITION
Force fetching of columns by ordinal positions. Certain data-providers (e.g., Redshift) do not guarantee columns in the same order on each request (e.g., SELECT * FROM foo). This flag ensures that columns will be fetched in proper order for pre-aggregation generation.
Possible ValuesDefault in DevelopmentDefault in Production
Whether to force fetch columns in ordinal positiontruetrue
CUBEJS_DB_MATERIALIZE_CLUSTER
The cluster name to use when connecting to Materialize.
Possible ValuesDefault in DevelopmentDefault in Production
A valid Materialize cluster nameN/AN/A
CUBEJS_DB_SNOWFLAKE_ACCOUNT
The Snowflake account identifier to use when connecting to the database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid Snowflake account ID (opens in a new tab)N/AN/A
CUBEJS_DB_SNOWFLAKE_AUTHENTICATOR
The type of authenticator to use with Snowflake. Use SNOWFLAKE with username/password, or SNOWFLAKE_JWT with key pairs.
Possible ValuesDefault in DevelopmentDefault in Production
SNOWFLAKE, SNOWFLAKE_JWTSNOWFLAKESNOWFLAKE
CUBEJS_DB_SNOWFLAKE_CLIENT_SESSION_KEEP_ALIVE
If true, keep the Snowflake connection alive indefinitely (opens in a new tab).
Possible ValuesDefault in DevelopmentDefault in Production
true, falsetruetrue
CUBEJS_DB_SNOWFLAKE_PRIVATE_KEY_PASS
The password for the private RSA key. Only required for encrypted keys.
Possible ValuesDefault in DevelopmentDefault in Production
A valid password for the encrypted private RSA keyN/AN/A
CUBEJS_DB_SNOWFLAKE_PRIVATE_KEY_PATH
The path to the private RSA key folder.
Possible ValuesDefault in DevelopmentDefault in Production
A valid path to the private RSA keyN/AN/A
CUBEJS_DB_SNOWFLAKE_REGION
The Snowflake region to use when connecting to the database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid Snowflake region (opens in a new tab)N/AN/A
CUBEJS_DB_SNOWFLAKE_ROLE
The Snowflake role to use when connecting to the database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid Snowflake role (opens in a new tab) in the accountN/AN/A
CUBEJS_DB_SNOWFLAKE_WAREHOUSE
The Snowflake warehouse to use when connecting to the database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid Snowflake warehouse (opens in a new tab) in the accountN/AN/A
CUBEJS_DB_SSL
If true, enables SSL encryption for database connections from Cube.
Possible ValuesDefault in DevelopmentDefault in Production
true, falseN/AN/A
CUBEJS_DB_TYPE
A database from the list of supported databases.
Possible ValuesDefault in DevelopmentDefault in Production
Any valid database supported by CubeN/AN/A
CUBEJS_DB_URL
The URL for a database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid database URLN/AN/A
CUBEJS_DB_USER
The username used to connect to the database.
Possible ValuesDefault in DevelopmentDefault in Production
A valid database usernameN/AN/A
CUBEJS_DB_QUERY_DEFAULT_LIMIT
The default row limit in the result set if it's not explicitly specified in an API query.
Possible ValuesDefault in DevelopmentDefault in Production
A positive integer number1000010000
CUBEJS_DB_QUERY_LIMIT
The maximum row limit in the result set.
Possible ValuesDefault in DevelopmentDefault in Production
A positive integer number5000050000
Increasing the maximum row limit may cause out-of


A Data Exploration of Jeopardy! from 1984 to the Present
Brian Hamilton
This project is an analysis of a dataset I created by scraping the HTML from the crowdsourced Jeopardy! archive J! Archive. Read more about the impetus to this project on the About page and the methods I took for building the dataset, analyzing it, and visualizing it on the Methods page.
Topic Modeling
Using MALLET, I built a topic model for the clues on J! Archive. Below is a visual representation of the change in topic usage over the course of the show's run. My hope from this is to see trends in topic usage. For example, I noticed that "History/War" spikes to its highest usage during the Gulf War.
Hover over the line on the graph or the topic key in the legend to isolate each individual topic for viewing. You can also click on the line or legend text to hold it in place.
State-by-State Contestants
While looking at the data I collected from the archive, I noticed that most contestants were identified by their name, hometown, and profession. I stripped out their local town and isolated each one that was from the fifty U.S. states and the District of Columbia. From here, I took a count of how many came from each state and how many won at least one game, making sure to only count each contestant once.
After I had this list, I compared it to population estimates made by the U.S. Census Bureau for 2019, creating a proportion of number of contestants/winners to the total population. Below, I created a map of the United States and the District of Columbia, shading each state by the size of the proportion; the darker shade, the larger the proportion, and vice versa. Use the two buttons to switch between the two views and hover over each state to see more detailed information.
Gender in Jeopardy!
Past studies of gender in Jeopardy! has taken a few different forms over the years. They have either looked at the different kinds of topics men and women may have chosen to respond to or how they act during the game. While J! Archive does not include a reference to a contestant's gender in their description, I was able to use the third-party API Genderize.io to determine the most likely gender from their first name.
Gender By Series
Before looking at more in depth analysis of gender in Jeopardy!, it's important to know how many men and women have actually been on the show. I grouped together contestants by their gender (removing any contestants that Genderize.io was not able to determine) and took a count of each. I created a donut char for those numbers, showing that 42.5% of contestants are women and 57.5% are men. These numbers line up almost exactly with studies that used a small number of episodes to conduct their research.
Hover over the slices or the legend to get a more detailed view of the numbers.
Gender By Episode
During an actual episode of Jeopardy!, there are three contestants competing against each other. One of them is the winner from the previous episode (if there was one) and the other two are new contestants. I was able to determine the breakdown of those three contestants by gender, only including episodes where all three contestants had a known gender. A makeup of two men and one woman takes up the majority of episodes, with all three being women happening the least. Below is a donut chart showing the breakdown.
Are Topics Gendered?
I wanted to see if the topics that I generated using the topic modeling were gendered--as in, are certain genders more likely to both know the answer and get it right. My database includes information on which clues a contestant got right and which they got wrong. I grouped this all together by gender and did a chi-squared test to see if the difference between the genders is significant.
Use the select field below to update the stacked bar chart and show the results of the chi-squared test for each topic. Hover over the bars to get more detailed numbers.
Critical Value
Who Wins?
By the end of an episode, the contestant with the most money is declared the winner. They are allowed to come back to the next game and defend their win. Some are good enough to win multiple games and continue on and on until they lose. I grouped together the data in a way that shows the gender disparity in number of wins.
There is some disparity in the data between this and the total number of contestants by gender. Some games on J! Archive (and by extension, my own database) are incomplete. I did my best to account for this by having a boolean field in the database for indicating that the game had an unknown winner. Even with that, some contestants may be counted twice. However, it should be a very small number.
I created a stacked bar chart to show this breakdown. Hover over the bars to get more detailed numbers.
And Roughly How Much Do They Win?
For each game, I looked at the final total for the winning contestant. Grouping by year and gender, I took the median amount to determine a how much was roughly won each game. A time series chart below shows this relationship. Hover over the lines or the legend to isolate the lines.
The three most obvious points of reference are 2001-2002, 2004, and 2019. Between 2001 and 2002, the dollar amounts for each clue were doubled. During 2004 and 2019, two of the most successful contestants competed; Ken Jennings in 2004 and James Holzhauer in 2019. James Holzhauer was known for winning by a large margin, racking up a lot of money each game. 2011 and 2019 also saw an increase in median winnings for women. However, while I looked for a specific contestant that could've caused this, there were no long-term female winners in those years. The most successful female contestant, Julia Collins, competed in 2014--a year with no major change.


text:
Today we'll address the fourth of our proposed Stage 3 objectives, "CPOE" (Computerized Provider/Physician Order Entry). As a reminder, the complete Stage 3 proposed rule can be downloaded here.
CPOE (Page 81)
- 3 Measures; All three must be met
- Medication Orders
- Laboratory Orders
- Diagnostic Imaging Orders
- Thresholds: 80% Med Orders; 60% Lab Orders; 60% Imaging Orders
This objective includes additional metrics (and higher thresholds) when compared to the similar Stage 2 metric (which did not include diagnostic imaging orders).
- CMS defers to the provider's discretion to determine which staff members are appropriate to enter the three order types. They do note that staff entering orders must have the requisite clinical training and knowledge required, and that providers should ensure they (and their staff) are complying with all appropriate Federal and State statutes when determining who is qualified to enter orders.
- However, CMS further elaborates by stating that a layperson is not qualified to perform order entry, and that if the individual entering the order is not licensed, that they must receive direct supervision by a licensed professional.
- Once again, this should be a very familiar and "comfortable" metric for all EPs and EHs.
- Exclusions are still available for EPs ordering <100 orders of each type during the reporting period.
- "Protocol" or "Standing" orders may be excluded from this objective (this is an option for the provider), although this may not be a "blanket" exclusion for patients presenting with a specific diagnosis or symptom.
- There are 3 measures, each with different thresholds, and all three must be met in order to satisfy the objective:
- Medication Orders (80% threshold)
- Laboratory Orders (60% threshold)
- Diagnostic Imaging Orders (60% threshold)
- Paper orders do not count for CPOE, even if they are transferred to CEHRT at a later time.
- Thresholds have been increased from those of Stage 2
- Similar to our concerns with how CMS has calculated thresholds for ePrescribing, CMS has relied on reported results for Stage 2 in order to set new thresholds for this Stage 3 Objective. Given that these results only sample those who have attested, using Stage 2 results may not be an appropriate harbinger for Stage 3 performance, and may result in thresholds that are set inappropriately high for Stage 3.
Objective 5–Patient Electronic Access to Health Information.
Thanks for reading, and see you next time!


text:
Impressive white oak forests near Karitena, black pines on Mount Parnon, and protected plane trees in village squares (e.g. Dimitsana), mountainous Arcadia (Orini Arkadia) is a treasure of flowing rivers, amazing gorges and nature. Indigenous plants and animals, different rock formations, unique wildlife and rare mountain herbs represent the best of the Mediterraean fauna and flora at different elevations. Check out our Birdwatching section in Arkadia to learn more about all the birds there.
There are several areas in Mount Parnon that are considered ecologically very important: the resort area of Paralia Astros, Mount Oriondas, Moustos Lake, the gorge of Leonidi, the Eloni Monastery, the Monastery of Malevi, and the summits of Mount Parnon.
Photos: Municipality of Megalopolis


Data Transfer
Definition of Data Transfer
Data transfer is the process of transmitting digital information between devices, systems, or over a network. This can occur via various channels such as wired connections such as Ethernet cables, or wirelessly through technologies like Wi-Fi and Bluetooth. The speed and efficiency of data transfer are often measured in bits per second (bps) or bytes per second (B/s).
Phonetic
The phonetic spelling of the keyword "Data Transfer" is:/ˈdeɪtə/ /ˈtrænsfɝ/Dey-tuh Trans-fur
Key Takeaways
 1. Data transfer refers to the process of moving data between devices, applications, or systems, involving various communication protocols and formats.
 2. Factors that influence data transfer rates include bandwidth, latency, file sizes, and network conditions, which can impact the overall efficiency and speed of a transfer.
 3. Common data transfer methods include FTP, API integrations, cloud-based solutions, and peer-to-peer networks, each with their own set of advantages and limitations based on the specific use case.
Importance of Data Transfer
Data transfer is a crucial aspect of technology as it facilitates the seamless exchange of information between devices, systems, and networks.
It enables communication and collaboration, allowing individuals and businesses to access, share, and process vast amounts of data efficiently.
The speed and reliability of data transfer impact the overall user experience and productivity, affecting the quality of services, such as streaming content, conducting online transactions, or using cloud-based applications.
Furthermore, as technology continues to advance, the ability to transmit massive volumes of data securely and swiftly has become vital for optimizing our digital ecosystem, leading to the development of increasingly sophisticated data transfer protocols and technologies.
Explanation
Data transfer serves a crucial purpose in the digital world, enabling the smooth transmission of information between various devices and systems, as well as refining the interactions and communication processes between people, businesses, and organizations. Its primary aim is to streamline the exchange of data, whereby different elements such as text, images, audio, and video are sent from one source to another over a communication pathway, including both wired and wireless mediums.
The relevance of data transfer in modern life is extensive, spanning from simple file sharing between friends or colleagues to elaborate corporate networks and support systems that keep a business running with efficiency. Furthermore, data transfer facilitates cooperation and seamless data exchange among various applications and platforms, which is vital for the enhanced functionality of contemporary technologies, such as cloud computing and the Internet of Things (IoT).With the exponential rise of digital data and users' demand for high-speed and real-time access, data transfer has spurred a plethora of advancements, notably in transmission methods, making it more efficient, reliable, and secure.
Examples of such techniques include moving data through protocols like File Transfer Protocol (FTP), peer-to-peer and cloud-based file sharing services, near-field communication (NFC), and fiber optics, each catering to different needs and environments. Moreover, data transfer has paved the way for innovations encompassing real-time communication and collaboration tools, online gaming, and video streaming platforms, which have uplifted the overall user experience.
As data transfer continues to improve and with the imminent advent of 5G technology slated to revolutionize communication systems globally, we can expect faster, more secure, and seamless data exchange in both personal and professional realms.
Examples of Data Transfer
File Sharing Services: Services like Google Drive, Dropbox, and WeTransfer are examples of technology used for data transfer in the real world. They allow users to upload, store, and share files such as documents, images, and videos with other users. These services use cloud-based storage to facilitate seamless data transfer across different devices and locations.
Email Attachments: Email clients like Gmail, Yahoo Mail, and Outlook offer data transfer capabilities by allowing users to attach files to their email messages. These files can be of any format, including documents, images, videos, and audio files. The recipient can then download the attachments, enabling efficient data transfer between two or more parties.
Messaging Apps: Instant messaging applications like WhatsApp, Telegram, and Facebook Messenger not only allow users to communicate via text, voice, or video but also support sharing various forms of data, including documents, images, and multimedia files. These applications use their servers to facilitate the data transfer process, enabling users to exchange information in real-time.
Data Transfer FAQ
1. What is data transfer?
Data transfer refers to the process of moving data between different devices, systems, or networks, often in the context of an Internet connection. This includes the uploading and downloading of files, streaming content, and other forms of data exchange between users or devices.
2. What are the most common methods of data transfer?
Common methods of data transfer include file transfer protocols (FTP), HTTP, SFTP, SCP, and protocols used by cloud storage services like Google Drive and Dropbox. Wireless transfer methods like Bluetooth and Wi-Fi are also popular for local transfers between devices.
3. How is data transfer speed measured?
Data transfer speed is typically measured in bits per second (bps) or bytes per second (B/s). Commonly used units include kilobits per second (Kbps), megabits per second (Mbps), gigabits per second (Gbps), kilobytes per second (KB/s), megabytes per second (MB/s), and gigabytes per second (GB/s).
4. What factors affect data transfer speed?
Factors that affect data transfer speed include the bandwidth of the connection, latency, network congestion, hardware capabilities, and software limitations. The physical distance between the sender and receiver can also play a significant role in overall transfer speed.
5. How can I improve my data transfer speed?
To improve data transfer speed, consider upgrading your network equipment, such as routers and modems, or updating your device's software. Additionally, using wired connections instead of wireless connections often results in a faster transfer. Choosing more efficient data transfer protocols and methods can also help increase transfer speed.
6. What is the difference between data transfer and data storage?
Data transfer refers to the process of moving data from one place to another, while data storage refers to the retention of information in a persistent storage medium, like disk drives and other storage devices. Although they are related, data transfer and data storage serve different purposes and have distinct technologies and processes involved.
Related Technology Terms
 - Bandwidth
 - File Transfer Protocol (FTP)
 - Download/Upload Speed
 - Data Encoding
 - Peer-to-Peer (P2P) Networking
Sources for More Information
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Table of Contents


text:
This paper estimates the future mitigation potential and costs of CO2 reduction technology options to the electricity generation facility in Korea. The monoethanolamine (MEA) absorption, membrane separation, pressure swing adsorption, and O2/CO2 input system were selected as the representative CO2 reduction technology options. In order to analyze the mitigation potential and cost of these options, it uses the long-range energy alternative planning (LEAP) framework for setting future scenarios and assessing the technology options implication. The baseline case of energy planning scenario in Korea is determined in a business-as-usual (BAU) scenario. A BAU scenario is composed of the current account (2003) and future projections for 20 years. Alternative scenarios mainly deal with the installation planning options of CO2 reduction technology (exogenous capacity, planning time, and existing electric plants). In each alternative scenario analysis, an alternation trend of existing electricity generation facilities was analyzed and the cost of installed CO2 reduction plants and CO2 reduction potential was assessed quantitatively.
Bibliographical noteFunding Information:
The authors are grateful to the Korea Energy Management Cooperation (KEMCO) for funding this research work.
All Science Journal Classification (ASJC) codes
- Management, Monitoring, Policy and Law


text:
The Bridge Trail is this Thursday's destination in the lesser-known backcountry of Beacon Rock. Deep in the heart of the park, the intrepid hiker will discover solitude, fire scarred remnants of old-growth giants from the Yacolt Burn (1902), crystal clear waters of Hardy Creek and a beautiful trail built by WTA volunteers!
"Beacon Rock" was originally named by Lewis and Clark on their expedition to the Pacific Ocean on October 31, 1805. It was near Beacon Rock that they first measured tidal influences from the ocean on the Columbia River. In 1811, Alexander Ross of the John Jacob Astor expedition called the rock "Inoshoack Castle." The rock was known as "Castle Rock" until, in 1916, the United States Board of Geographic Names restored the name "Beacon Rock." Henry J. Biddle purchased the rock in order to build a trail to the top. The trail was built, and in 1935 his heirs turned the rock over to the state for use as a park. Additional development was done by the Civilian Conservation Corps. The park is situated alongside the Columbia River, within the Columbia River Gorge National Scenic Area. In addition to the picnic and camping facilities there are several miles of pedestrian and equestrian trails that lead away from the river and into the foothills.
GPS coordinates are only approximate, please always use the written driving directions when trying to find a trail head


text:
Greenbelt Lake, also known as Greenbelt Reservoir, is located 4 miles north of the city of Clarendon, Texas in Donley County. Kelly Creek and Salt Fork are tributaries of Greenbelt Lake and all are part of the Red River Basin. The compacted-earth dam is used for municipal, industrial and mining water supply and is owned by Greenbelt Municipal and Industrial Water Authority.
Construction of the dam and reservoir was authorized by the Texas Water Commission in August of 1958 (Permit No. 1917). Freese, Nichols and Endress began construction of the dam in April of 1966 and was completed in March of 1968 by Adams Construction Company. The dam measures 5,800 feet long by 110 feet high and controls a drainage area of 288 square miles. The reservoir has a storage capacity of 59,800 acre-feet and a surface area of 1,990 acres.
The dam features two spillways; one for emergencies and one for services. The service spillway features an uncontrolled drop inlet; a type of catch basin that connects above and below-ground water flow. The maximum depth of the reservoir is 84 feet with an average depth of 30 feet. Greenbelt Lake supplies popular sportfishing breeds: bass, crappie, walleye and catfish. This area has experienced some intermittent drought conditions and boat access has been limited to one low water ramp. The lake houses aquatic vegetation including pondweed, coontails and cattails. Vegetation is dense around shoreline areas and coves.


The maprcli dump cldbnodes command lists the nodes that contain container location database (CLDB) data. For best results, use the -json option when running dump cldbnodes from the command line.
The CLDB is a service running on one or more MapR nodes that maintains the location of cluster containers, services, and other information. The CLDB automatically replicates its data to other nodes in the cluster, preserving at least two (and generally three) copies of the CLDB data. If the CLDB process dies, it is automatically restarted on the node.
Syntax
CLI
maprcli dump cldbnodes
 [-cluster <cluster name>]
 -zkconnect <ZooKeeper Connect String>
 -json | -long
RESTN/A
Parameters
Parameter
Description
-cluster <cluster name>
The cluster on which to run the command. If this parameter is omitted, the command is run on the same cluster where it is issued. In multi-cluster contexts, you can use this parameter to specify a different cluster on which to run the command.
-zkconnect <ZooKeeper connection string
A ZooKeeper connect string, which specifies a list of the hosts running ZooKeeper, and the port to use on each, in the format: '<host>[:<port>][,<host>[:<port>]...]'. To obtain zookeeper connection strings, use the maprcli node listzookeepers command.
-json | -longThis command returns multiple levels of data. You need to specify either JSON format or "long" format to see the full output.
Output
The maprcli dump cldbnodes command returns the IP address and port number of the CLDB nodes on the cluster.
$ maprcli dump cldbnodes -zkconnect centos23.lab:5181 -json
{
 "timestamp":1433270634424,
 "timeofday":"2015-06-02 06:43:54.424 GMT+0000",
 "status":"OK",
 "total":1,
 "data":[
 {
 "valid":[
 "10.10.82.23:5660-",
 "10.10.82.28:5660-",
 "10.10.82.29:5660-",
 "10.10.82.22:5660-"
 ]
 }
 ]
}
Example
CLI
maprcli dump cldbnodes -zkconnect centos23.lab:5181 -json


These are the current rules around going on holiday in the UK - and when foreign trips could be allowed
Tuesday, 2nd June 2020, 4:18 pm
Updated Tuesday, 2nd June 2020, 4:18 pm
Overnight stays outside of your home are still not allowed (Photo: Shutterstock)
Across the UK, lockdown restrictions are gradually starting to ease, with people given more freedom to spend time outdoors and meet loved ones from a safe distance.
As freedom of movement becomes slightly more relaxed, many may be looking forward to the prospect of holidaying again, particularly given the current warm weather.
But are holidays allowed yet?
Can I go on holiday in the UK?
Since the UK government relaxed restrictions in May, people in England are allowed to travel to other destinations irrespective of distance.
However, people must not travel to destinations outside of England, as Scotland, Wales and Northern Ireland are each following different government guidance.
Current rules state that day trips to an outdoor space are acceptable, providing you are able to return home on the same day.
As such, an overnight stay away from the place you are living for a holiday, or similar purpose, is not permitted. This includes staying overnight in a second home.
In circumstances where your job requires you to stay away from home, this is acceptable, providing social distancing is maintained.
Hotels and bed and breakfasts still remain closed, except when providing accommodation for specific reasons set out in law, such as for work.
What are the travel rules across the UK?
In Scotland, only recreational trips that are "broadly within five miles" from your home are allowed, and these should be done by walking or cycling wherever possible.
In Wales, people are still advised to stay at home as much as possible and while outdoor exercise can be done more than once per day, it must be done locally.
In Northern Ireland, driving for daily exercise is allowed, although day trips have not been specified in the government guidance.
Instead, people have been urged to "be sensible and limit the number of journeys" that they take.
Indoor gatherings of different households are still banned, but this is being kept under review.
When will holidays be allowed?
Culture secretary Oliver Dowden recently suggested that holidays in the UK could be permitted at the beginning of July, which could see rules change to allow overnight stays.
Self-catering cottages, Airbnb properties, campsites, hotels and holiday parks will still remain closed until at least July.
If the UK government believes enough progress has been made against its five key tests, England could move into phase three of lifting lockdown in July.
In this phase, other parts of the hospitality and leisure sector could be permitted to reopen, including hotels and holiday resorts. However, this phase is not expected to begin until 4 July.
When will foreign holidays be allowed?
Spain's tourism minister confirmed that foreign tourists can book holidays in the country from 1 July, with the mandatory 14 day quarantine rule for foreign tourists to be lifted from this point.
Jet2 will restart its flights and holidays from 1 July, along with Ryanair, while easyJet willresume a number of limited flights from 22 airports across the UK and Europe from 15 June.
The UK government has not yet confirmed when travel bans are likely to be lifted.


text:
AN INTRODUCTION TO MEZCAL
Mezcal can be made from dozens of varieties of agaves,
the hearts of which are roasted in underground pits,
imparting a signature smoky flavor.
WE RAISE OUR MACHETE
Once the agave reaches maturity a quiote (flowering stalk) rises from the heart of the plant, indicating that it is ready to be harvested. The leaves are shaved off and the hearts of the agave (piñas) are taken to the palenque (distillery) to be roasted.
WE LIGHT THEIR HEARTS ON FIRE
Once the piñas arrive at the palenque, a large fire is built in an underground pit using Mesquite and Encino woods native to the area. This fire heats large volcanic rocks that line the pit and act as an oven, roasting the piñas for four to six days.
WE CRUSH THEIR SPIRIT
The newly baked agaves are then put into a circular stone pit and crushed using a heavy stone wheel (tahona) drawn by a horse.
WE WATCH THEM SIMMER
The crushed agaves are then placed in large open fermentation vats. Wild yeast in the air kick starts the fermentation process, converting the sugars into alcohol. The fibers and liquid are then double distilled using small copper pot stills.
WE PERFECT THE ESSENCE
In the case of Silencio's Joven expression, the Tobasiche and Mexicano agaves are produced separately and then blended by the mezcalero.
WE DRINK THEIR BLOOD
El Silencio is bottled at the palenque, using materials sourced from Mexico. The entire process from harvest to bottle takes roughly three to four weeks.


text:
Permanent URL to this publication: _URL_
Zaborowski, Christoph; Zweifel, Peter (1998). Getting Out of Debt: Attachment of wage in whose interest? Working paper series / Socioeconomic Institute No. 9802, University of Zurich.
Attachment of wage as a way for creditors to enforce payment by unwilling or insolvent debtors is not very successful in several countries. Based on a dynamic model of debtor behaviour, this paper explores two alternatives of reform. One is to reduce the rate of attachment, which at present amounts to 100 percent of the wage income exceeding the subsistence level, thus probably destroying incentives to work. According to model simulations, reducing the attachment rate is likely to result in an increase of labour supply but a decrease of attachment revenue per period. Second, the introduction of a debt release would have an ambiguous effect on labour supply. While resulting in a partial loss for creditors, it would permit debtors to get out of debt. A Pareto improvement thus does not seem to be possible. When taking the taxpayers as an involved third party into account, however, a potential Pareto improvement appears attainable.
1082 downloads since deposited on 29 Nov 2011
125 downloads since 12 months
|Item Type:||Working Paper|
|Communities & Collections:||03 Faculty of Economics > Department of Economics
Working Paper Series > Socioeconomic Institute (former)
|Dewey Decimal Classification:||330 Economics|
|JEL Classification:||D91, J22, K29|
|Deposited On:||29 Nov 2011 19:45|
|Last Modified:||05 Apr 2016 15:09|
|Series Name:||Working paper series / Socioeconomic Institute|
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text:
Eight members of a youth group from Berkhamsted's Sunnyside Church have lobbied South West Herts MP David Gauke to urge the government to end tax trickery by multinational companies.
They told Mr Gauke, who is also a treasury minister, that tax avoidance tactics are costing developing countries an estimated $160 billion every year – money that would be better spent on essential services such as schools and hospitals.
After a session led by Christian Aid about the impact of tax avoidance on the world's poorest communities, the group was inspired to take action and arranged to speak with their MP about the issue.
Christian Aid believes that poor countries struggle to access the information needed to counteract tax avoidance by multinational companies.
The youth group asked Mr Gauke how he aims to encourage greater disclosure of information and what measures the government is taking to support developing countries in recouping tax revenue they are owed.
Group member Naomi Pyburn said: "Our generation is responsible for shaping the future of our world, so it is vital, as young people, to get political and take action against injustice.
"How can we expect David Gauke to be our voice if we don't tell him what issues we are passionate about?"
Fellow group member Callum Scott added: "If you want to be listened, get involved."


text: RailCab is a research project by the University of Paderborn, Germany. Its purpose is the examination of the use of linear engines for the propulsion of autonomous, rail mounted vehicles. Similar to the Transrapid the coaches are moved by linear motors, which have a very low need for maintenance. In contrast to Transrapid a magnetic field is only used for acceleration, the vehicles run on wheels on tracks. This concept allows for modification of existing conventional railway tracks.