peewee¶
Peewee is a simple and small ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use.
- A small, expressive ORM
- Written in python with support for versions 2.6+ and 3.2+.
- built-in support for sqlite, mysql and postgresql
- tons of extensions available in the Playhouse, a collection of addons (postgres hstore/json/arrays, sqlite full-text-search, schema migrations, and much more).
Peewee’s source code hosted on GitHub.
New to peewee? Here is a list of documents you might find most helpful when getting started:
- Quickstart guide – this guide covers all the bare essentials. It will take you between 5 and 10 minutes to go through it.
- Guide to the various query operators describes how to construct queries and combine expressions.
- Field types table lists the various field types peewee supports and the parameters they accept.
Contents:¶
- Installing and Testing
- Quickstart
- Example app
- Additional Resources
- Contributing
- Managing your Database
- Creating a database connection and tables
- Using Postgresql
- Using SQLite
- Using BerkeleyDB
- Using MySQL
- Connecting using a Database URL
- Multi-threaded applications
- Run-time database configuration
- Dynamically defining a database
- Connection Pooling
- Read Slaves
- Schema migrations
- Generating Models from Existing Databases
- Adding Request Hooks
- Additional connection initialization
- Advanced Connection Management
- Using multiple databases
- Logging queries
- Generating skeleton code
- Adding a new Database Driver
- Models and Fields
- Querying
- Creating a new record
- Bulk inserts
- Updating existing records
- Atomic updates
- Deleting records
- Selecting a single record
- Get or create
- Selecting multiple records
- Filtering records
- Sorting records
- Getting random records
- Paginating records
- Counting records
- Aggregating records
- Retrieving Scalar Values
- SQL Functions, Subqueries and “Raw expressions”
- Security and SQL Injection
- Window functions
- Retrieving raw tuples / dictionaries
- Query operators
- Foreign Keys
- Performance Techniques
- Transactions
- API Reference
- Playhouse, a collection of addons
- apsw, an advanced sqlite driver
- Postgresql Extensions
- Sqlite Extensions
- BerkeleyDB backend
- Sqlcipher backend
- DataSet
- Django Integration
- Generic foreign keys
- Hybrid Attributes
- Key/Value Store
- Shortcuts
- Signal support
- pwiz, a model generator
- Schema Migrations
- Reflection
- Database URL
- CSV Utils
- Connection pool
- Read Slaves
- Test Utils
- pskel
- Flask Utils
- Hacks
Note¶
If you find any bugs, odd behavior, or have an idea for a new feature please don’t hesitate to open an issue on GitHub or contact me.


Lemming
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Lemming
A simple to use builder api for asynchronously collecting results in Java or Groovy.


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The Paper Trail
an interactive travelling album by
The Papers
Begin


The XQC_InputStream struct is designed to be populated by users for the purpose of streaming data into an XQC implementation. More...
#include <xqc.h>
Public Attributes | |
| const char * | encoding |
| The text encoding of the input data as a UTF-8 string, or 0 if unknown. | |
| void * | user_data |
| Can be used for user specific purposes. | |
| unsigned int(* | read )(XQC_InputStream *stream, void *buffer, unsigned int length) |
| The function called to read more of the input query. | |
| void(* | free )(XQC_InputStream *stream) |
| Called to free the resources associated with the XQC_InputStream. |
The XQC_InputStream struct is designed to be populated by users for the purpose of streaming data into an XQC implementation.
| const char* XQC_InputStream_s::encoding |
The text encoding of the input data as a UTF-8 string, or 0 if unknown.
The value of the string should conform to the EncName
grammar production as specified in XML 1.0:
| void(* XQC_InputStream_s::free)(XQC_InputStream *stream) |
Called to free the resources associated with the XQC_InputStream.
| stream | The XQC_InputStream that this function pointer is a member of |
| unsigned int(* XQC_InputStream_s::read)(XQC_InputStream *stream, void *buffer, unsigned int length) |
The function called to read more of the input query.
The function should read the next chunk of input into the buffer provided, returning the length of the data read.
| stream | The XQC_InputStream that this function pointer is a member of | |
| [out] | buffer | The buffer to read the data into |
| length | The length of the buffer |
Can be used for user specific purposes.


{% load static %}
Culture Of India
Home
(current)
Logout
cart
Orders
Home
Handicraft
Books
Miscellaneous
{% load staticfiles %}
Previous
Next
{% for p in products %}
{{p.title}}
₹{{p.price}}
{{p.description}}
{% endfor %}


| 016:072 Khan | : |
And Allah has made for you wives of your own kind, and has made for you, from your wives, sons and grandsons, and has bestowed on you good provision. Do they then believe in false deities and deny the Favour of Allah (by not worshipping Allah Alone). |
| 016:072 Maulana | : |
And Allah has made wives for you from among yourselves, and has given you sons and daughters from your wives, and has provided you with good things. Will they then believe in falsehood and deny the favor of Allah? |
| 016:072 Pickthal | : |
And Allah hath given you wives of your own kind, and hath given you, from your wives, sons and grandsons, and hath made provision of good things for you. Is it then in vanity that they believe and in the grace of Allah that they disbelieve? |
| 016:072 Rashad | : |
And GOD made for you spouses from among yourselves, and produced for you from your spouses children and grandchildren, and provided you with good provisions. Should they believe in falsehood, and turn unappreciative of GOD's blessings? |
| 016:072 Sarwar | : |
God has created spouses for you from your own selves. He has created your sons and grandsons from your spouses and has given you pure things for your sustenance. Do they then believe in falsehood and reject the bounties of God?. |
| 016:072 Shakir | : |
And Allah has made wives for you from among yourselves, and has given you sons and grandchildren from your wives, and has given you of the good things; is it then in the falsehood that they believe while it is in the favor of Allah that they disbelieve? |
| 016:072 Sherali | : |
And ALLAH has made for you mates from among yourselves, and has made for you, from your mates, sons and grandsons, and has provided you with good things. Will they then believe in that which perishes and deny the favour of ALLAH? |
| 016:072 Yusufali | : |
And Allah has made for you mates (and companions) of your own nature, and made for you, out of them, sons and daughters and grandchildren, and provided for you sustenance of the best: will they then believe in vain things, and be ungrateful for Allah's favours?- |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > وحدانيته Pillars of Islam> Islamic> Oneness of Allah> Singularity and Being Unique أركان الإسلام > التوحيد > الشرك والمشركون > تنزيه الله جلّ جلاله عن الشريك Pillars of Islam> Islamic> Polytheism and the Polytheists> Allah's Freedom from Partnership
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


layout: post title: ‘Javascript Framework mootools 1.1 released / draußen’ published: true author: admin comments: true date: 2007-05-29 03:05:57 tags: - Ajax (AJ) - DOM - framework - javascript - mootools - version categories: - mootools permalink: > /2007/05/29/mootools/javascript-framework-mootools-11-released-drausen image: thumb: mootools.jpg — > Nach mootools 1.0 ist nun die überarbeitete Version mootools 1.1 draußen.

Dokumentation zur aktuellen mootools Version
ADD: Added Number.js, with Number::times, ::limit, ::round and Number prototypes from String.js (jank, tomocchino, kamicane)
ADD: Added generics for native objects, Element and Elements (digitarald)
ADD: Added Element::cloneEvents to copy events from another element (digitarald)
ADD: Dom.js Filters made Public, as Elements Methods (Elements::filterByTag, filterByClass, filterById, filterByAttribute) (kamicane)
ADD: Added $defined to Core.js, returns true for objects that are not null/undefined (digitarald)
ADD: Added offset option to Fx.Scroll, also used in SmoothScroll (w00fz)
ADD: Added delay argument to Element::fireEvent
ADD: Added Hash::merge, merges objects into the Hash (kamicane, aaron)
ADD: Added Hash.Cookie, extends Hash to save/load a Hash via Json to/from a cookie, with autoSave or manual. (aaron, digitarald, kamicane)
ADD: Added window.webkit419 and window.webkit420 to differentiate between current safari and newer builds of webkit. (kamicane)
ADD: Added secure option for Json.evaluate, used in Hash.Cookie and in options for Json.Remote (aaron)
ADD: Added document.head to hold a shortcut to the element (kamicane)
ADD: Fx.Transitions allows now configurable transitions parameters for effects (kamicane)
ADD: Added Element::injectTop to inject Elements as first child (digitarald)
ADD: Added String::contains, which checks occurence of string, second parameter is an optional seperator. (kamicane)
ADD: Added String::escapeRegExp, escapes expression characters in string (digitarald)
ADD: Added Cookie option: secure for secure connections (digitarald)
ADD: Added Element::empty, trashes all child elements and sets innerHTML to '' (aaron)
ADD: Drag.Base grid option, for snap-to-grid movement, also accepts an object with the usual x/y values. (kamicane)
ADD: Slider with offset option for exact knob position (kamicane)
ADD: Added Element::removeProperty (kamicane)
ADD: Element::getStyle: Full paddings/margins/borders support, correct width/height for ie. (kamicane)
ADD: Added simple Abstract, to automatically add .extend to objects. Converted singletons to Abstract (Inviz)
ADD: Added global MooTools object, with version property
ADD: Added Array::getLast and getRandom (digitarald, kamicane)
ADD: Accordion now allows you to add elements to it after its creation (addSection) (aaron)
ADD: Added Group class to collect events from several class instances (kamicane)
ADD: Garbage.trash automatically cleans up the internal $tmp property for elements and fires 'trash' before cleaning elements
ADD: Implemented custom events, with some defaults as mouseenter, mouseleave and converted domready to a custom event (kamicane)
ADD: Added Array::merge and Array::include (similar to extend/push but with duplicate check) (kamicane)
ADD: Ajax::evalScripts with global eval and automated eval for javascript response, can be forced with evalResponse , added Ajax::getHeader (digitarald)
ADD: XHR now has a 'cancel' method, the option 'autoCancel' and the running property for active requests (digitarald, kamicane)
ADD: UrlEncoding moved from Ajax to XHR to allow get/post encoding for Xhr/Json.Request (digitarald, kamicane)
ADD: Added Element::hasChild() (kamicane)
ADD: DEPRECATED: Ajax: postBody renamed in data. It now works also with method=get. Compatibility is kept until v1.2 (kamicane)
ADD: Added $time (Utility.js) to return the current timestamp [#90] (Inviz)
ADD: Dom.js now uses Xpath if supported (window.xpath property), including selector caching and duplicate check
ADD: setOptions accepts now any number of arguments, this.options holds the default values (Inviz, kamicane)
ADD: f1-f12 keys for Event.key [#70] (Inviz)
ADD: Added Element::set, Element constructor now takes this argument, an object for setting 'styles', 'properties' and 'events' (ibolmo)
ADD: Added $merge, merging objects recursively (aaron)
ADD: Added Element::getStyles() (aaron)
ADD: $each iterates objects and arrays (aaron)
CHG: Fx.Scroll now stops if there's a scroll on the entire document, instead of the relevant element as before. (kamicane)
CHG: Class::implement now takes multiple arguments. (kamicane)
CHG: Merged Moo.js and Utility.js, now the file is Called Core.js, and does not contain Class. Class.js has now its own file, renamed Common.js in Class.Extras.js. (kamicane)
CHG: Added Elements contstructor to avoid directly calling $extend. (kamicane)
CHG: Splitted Dom.js in Element.Selectors and Element.Filters. Removed Dom.js (kamicane)
CHG: Garbage.trash event is now added beforeunload event to ensure its the last unload event to be called. (kamicane)
CHG: Elements methods overridden from Array methods in $$ are now added back with "Elements" appended to the name (e.g. Elements::removeElement, Elements::getLastElements). (kamicane)
CHG: Optimized Fx.Base to take advantage of the new Transition system so the transitions calculation is made only once per cycle, no matter the properties (tomocchino)
CHG: Refactord over-checks for Drag::Move, fires over/drop now only for the last element on the stack, not for all hovered elements (digitarald)
CHG: API CHANGE window.khtml to window.webkit. window.khtml is still kept for compatibility until 1.2.
CHG: String::capitalize doesn't force the string to lowerCase anymore. (kamicane)
CHG: API CHANGE: Completely refractored Fx.Transitions and changed API. It's now better, cleaner, smaller, more modular and a bit faster. Also added the set property, to allow configurable transitions parameters for effects. Refer to the docs to see how it works. Old transition syntax is kept until v1.2 (blame kamicane)
CHG: Refractored Element::getStyle. Now smaller, safer, better, up to 40% faster. (kamicane)
CHG: API CHANGE Array::test is now Array::contains. Compatibility is kept till 1.2 (kamicane)
CHG: API CHANGE: Hash::empty now clears the Hash values (kamicane)
CHG: Drag.Base, return this to Drag::attach/detach (kamicane)
CHG: Behavior of fixed tooltips is different, is not anymore relative to the mouse position, but to the element position.
CHG: Element::inject allows 'top' (digitarald)
CHG: $type does now recognize 'regexp', 'collection', 'arguments', 'class' [#163] (kamicane, digitarald)
CHG: API CHANGE: Hash::each callback arguments are now (value, key) to be consistent with all each's (blame digitarald)
CHG: API CHANGE: Object.extend is now $extend, compatible till v1.2
CHG: API CHANGE: Object.native is now $native, compatible till 1.2
CHG: Renamed internal element properties with prepended $ ($events, $included) (digitarald)
CHG: Cookie.remove with paths and domains [#127] (kamicane)
CHG: Added $pick to bind argument in Function::create, to allow null binds (kamicane)
CHG: Added set and get Property cases for the attribute 'for' [#48] (kamicane)
CHG: Event.js mouse events now respond also to menu types and all click types (including dblclick) (kamicane)
CHG: Moved Event.js to Element.Event.js (kamicane)
CHG: Splitted Element.js in Element, Element.Dimensions and Element.Form, moved Files from Addons to Core/Native/Plugins (kamicane)
CHG: Fast Element.walk for getNext/Previous/Last/First (Inviz)
CHG: onProgress of Asset.Images is now binded to the current image and the index is passed. (kamicane)
CHG: In Event class keys are now only computed for 'keydown' (kamicane)
CHG: Element::setStyle does not require anymore "+ 'px'", automatically added to number values (kamicane)
CHG: API CHANGE window.onDomReady is no more. use window.addEvent('domready', fn). Compatible till 1.2
CHG: Window.Base.js renamed to Window.DomReady.js
CHG: Tips now use 'mouseenter' and 'mouseleave' instead of 'mouseover' and 'mouseout' (kamicane)
CHG: Moved 'get' fallback from Ajax to XHR (kamicane)
CHG: Garbage.trash now take as input an array of elements (kamicane)
CHG: Event onStateChange in XHR is gone (kamicane)
CHG: Garbage.unload is now Garbage.empty (kamicane)
CHG: Hash.remove now use delete operator, and Hash.each uses $each (digitarald)
CHG: Cookie has now Cookie.options, duration is false by default [for sessions] (digitarald)
CHG: Sortables are now independent from Drag.Base, also have their own ghosting behaviour (kamicane)
CHG: Element.setStyle also supports float now (kamicane)
CHG: Fx.Slide allows borders and margins. Positioning is now possible. (kamicane)
CHG: Ajax.request can take data as first argument to override options [#69] (Inviz)
CHG: Element.adopt allows multiple arguments including element collections [#71] (Inviz)
CHG: API CHANGE ? Removed new Element in adopt, inject and replaceWith, now only id's and element references are allowed (kamicane)
CHG: Fixed Element.getValue/Element.toQueryString with support for multiple-selects (digitarald)
FIX: WONTFIX: The Event::wheel is inverted for all opera version prior to 9.20, blame opera for their crazy idea
FIX: Fixed event conditions for out cases in Drag::Move, now 'emptydrop' is also called for draggables dropped outside of the container (digitarald)
FIX: Small fixes to Drag.Move, when position of element is absolute inside relative or absolutely relative. (kamicane)
FIX: IE-fix for Element::getProperty, so it does not return properties instead of attributes anymore (digitarald)
FIX: Fixed Element::clone to remove events from elements cloned with IE (digitarald)
FIX: Now XHR reinstantiates its transport when canceled, to avoid the delay in request. (kamicane)
FIX: Element::getStyle fixes for internet explorer, when it returned "medium" or "auto" on margins and paddings when not defined. (kamicane)
FIX: Added nullification of elements in Garbage.trash (digitarald)
FIX: Fixed mozilla bug that throws exceptions with input / textarea elements and Event related Targets. (fix by atany)
FIX: Pixel properties are now rounded in Effects, for a (slightly) better display. (kamicane)
FIX: String-type check for Json.evaluate, returns false for non-string parameters now (digitarald)
FIX: Fixed SmoothScroll and Window.Size to support newer builds of webkit. (kamicane)
FIX: Array::remove now also works with null/undefined/0
FIX: Fixed several bugs with Assets.image and Assets.images, cleaner and better behaviour (digitarald)
FIX: Better behvaiour for Fx.Scroll::toElement [#169] (Yuffster)
FIX: Couple of fixes to the Color class, now it also carries hex values. (kamicane)
FIX: String::toInt fixed [#125]
FIX: SmoothScroll now sets hash, not href [#149] (digitarald)
FIX: Fixed the drag bug about the element getting stuck to the cursor when right-clicking or clicking outside of the window [#84] (kamicane)
FIX: little fix for $each, provided default binding (kamicane)
FIX: Fixed domready problem in secure sites [#139]
FIX: Element::setOpacity with opacity/clear-type workaround for ie, when you are too lazy to put a bg-color (digitarald)
FIX: Fixed Safari relatedTarget for Text Nodes issue (kamicane)
FIX: Event.keyCode can also be 0 (kamicane)
FIX: Element::toQueryString takes empty values into account [#105] (kamicane)
FIX: Fixed a bug in Asset.image, the property to the object and only once (kamicane)
FIX: Fixed a bug in Element::getElements to avoid potentially return of duplicates (kamicane)
FIX: Fixed a possible warning in Array::remove (kamicane)
FIX: Fixed flickering in Sortables (kamicane)
FIX: $$ does not returns duplicate entries anymore (kamicane)
FIX: Exposed HTMLElement in safari, everything is now a lot faster (kamicane)
FIX: Array iterations in Array.js optimized (digitarald)
FIX: Accordion now resets paddings and margins (kamicane)
FIX: Optional isSuccess in XHR with correct this (kamicane)
FIX: Element was not extended in SmoothScroll [#45] (chris)
FIX: Fixed a bug in Fx.Slide() causing an error in Safari when first calling show() or hide() (Chris)
FIX: Fixed object key names not encoded correctly if they contained the " or \ special characters, in Json.toString (Chris)
FIX: PERL-Syntax for regexp in Json.toString for better perfomance (Chris)
FIX: Fixed Array methods behaviour [#43] (Chris)
FIX: Several minor documentation errors fixed and more examples
FIX: Several missing dependancies fixed


advanced/bootstrap/advanced-form-multi-input/advanced-form-autocomplete-multi-input.directive.ts
| Selector | [sqAdvancedFormAutocompleteMultiInput] |
Methods |
Inputs |
Outputs |
HostListeners |
| items | |
Type : AutocompleteItem[]
|
|
Default value : []
|
|
|
Stores the selected search terms selected via Tab |
| itemsUpdate | |
Type : EventEmitter
|
|
|
Event synchronizing the list of search terms in the parent component |
| blur |
Arguments : '$event'
|
blur(event: FocusEvent)
|
|
Listens to blur events (out of focus) on the host and overrides the parent blur events |
| keydown | ||||||||
keydown(event: KeyboardEvent)
|
||||||||
|
Listen to user's keyboard actions in the , in order to navigate and select the autocomplete suggestions. Overrides the parent keydown method, adds the management of the backspace key to remove items, enhance the enter key to support adding new items.
Parameters :
Returns :
any
|
import {
Directive,
Input,
Output,
EventEmitter,
HostListener,
} from "@angular/core";
import { AutocompleteItem } from "@sinequa/components/autocomplete";
import { BsAdvancedFormAutocomplete } from "../advanced-form-autocomplete.directive";
import { Keys } from "@sinequa/core/base";
@Directive({
selector: "[sqAdvancedFormAutocompleteMultiInput]",
})
export class BsAdvancedFormAutocompleteMultiInput extends BsAdvancedFormAutocomplete {
/** Event synchronizing the list of search terms in the parent component */
@Output() itemsUpdate = new EventEmitter<AutocompleteItem[]>();
/** Stores the selected search terms selected via Tab */
@Input() items: AutocompleteItem[] = [];
/**
* The setAutocompleteItem() method from the original directive is overriden to
* Sets the content of the <input> based on the given
* Autocomplete Item.
* @returns false since we don't need trigger search at this point of time
*/
protected setAutocompleteItem(item: AutocompleteItem): boolean {
if (item) {
// Store the autocomplete items that will be used to create a selection
this.items.push(item);
this.itemsUpdate.next(this.items);
this.setInputValue("");
}
return false;
}
/**
* Listen to user's keyboard actions in the <input>, in order to navigate
* and select the autocomplete suggestions.
* Overrides the parent keydown method, adds the management of the backspace key
* to remove items, enhance the enter key to support adding new items.
* @param event the keyboard
*/
keydown(event: KeyboardEvent) {
const keydown = super.keydown(event);
if (keydown === undefined) {
/** We can remove selections by typing <backspace> when the input is empty */
if (event.keyCode === Keys.backspace) {
if (this.getInputValue() === "") {
this.items.pop();
this.itemsUpdate.next(this.items);
}
}
/** Allow the selection one of new item */
if (event.keyCode === Keys.enter) {
this._manageSetAutocompleteItem();
}
}
return keydown;
}
/**
* Listens to blur events (out of focus) on the <input> host and overrides the parent blur events
*/
@HostListener("blur", ["$event"]) blur(event: FocusEvent) {
this._manageSetAutocompleteItem();
this.init();
}
private _manageSetAutocompleteItem(): void {
/** Always consider if there is text in the <input> and that it is not yet added in items */
if (!!this.getInputValue() && this.getInputValue() !== "") {
this.setAutocompleteItem({
display: this.getInputValue(),
normalized: this.getInputValue(),
category: "",
});
}
}
}


[pyNS] Simulation Results
View Results
Length
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Mean pressure
Mean flow
Mean wss
Mean reynolds


lib.sort module
Implementations of some algorithms related to sorting.
Each algorithm assumes a list of comparable items. Functions ending in _sort change the list in place. Functions ending in _sorted don’t change the unsorted list, and return a new sorted list. This matches the Python built-in functions: items.sort() sorts the list in-place, sorted(items) returns a new list.
- lib.sort.binary_search(items, item)
Return True if items includes the item, otherwise False.
Assume the items are in non-decreasing order. Assume item and items are all of the same type.
- lib.sort.bubble_sort(items)
Sort the list of items in place, in non-decreasing order.
Use the bubble sort algorithm.
- lib.sort.heap_sorted(items)
Return a list of all items, in non-decreasing order.
- lib.sort.insertion_sort(items)
Sort the list of items in place, in non-decreasing order.
Use the insertion sort algorithm.
- lib.sort.merge_sorted(items)
Return a new list of all items, in non-decreasing order.
Use the merge sort algorithm.
- lib.sort.nth_smallest(items, n)
Return the n-th smallest of the items.
For example, return the minimum if n is 1 and the maximum if n is len(items). Don’t change the order of the items. Assume n is an integer from 1 to len(items).
- lib.sort.quick_sorted(items)
Return a list of all items, in non-decreasing order.
- lib.sort.selection_sort(items)
Sort the list of items in place, in non-decreasing order.
Use the selection sort algorithm.


{% extends "admin/base_site.html" %} {% load i18n admin_urls static admin_list %} {% block extrastyle %} {{ block.super }} {% endblock %} {% block breadcrumbs %}
{% endblock %} {% block coltype %}flex{% endblock %} {% block content %}On this page you may import Test Lists, Test List Cycles, or individual Tests from a Test Pack.
Note that there is no need to select tests that are already included as part of a test list
Loading Test table...


Bio
Hi, I am Balqees Alfasatlah 23 years old . a recent graduate in computer information systems I seek to develop my scientific and practical skills and gain more experience in the field of work that guaranteses me a bright future . I try to find a job that makes me practice my creativity .
My Education
- Bachelors degree in computer information system from Al-Balqa University
- In training process as a full-stack developer in ASAC , LTUC.
Job Experience
I dont work in It-fileds so I dont have an experience yet
My goal
My main goal at this stage is to become a professional programmer to design and create distinctive websites that give me a good opportunity to find work in large technology companies.
Top Ten Movies
- Avengers
- John Wick
- A Quiet Place
- 500 Day Of Summer
- Hrry Potter
- The Maze Runner
- Twilight
- Titanic
- All The Bright Places
- Venom


Introduction to Puppet
Why Puppet
As system administrators acquire more and more systems to manage, automation of mundane tasks is increasingly important. Rather than develop in-house scripts, it is desirable to share a system that everyone can use, and invest in tools that can be used regardless of one’s employer. Certainly doing things manually doesn’t scale.
Puppet has been developed to help the sysadmin community move to building and sharing mature tools that avoid the duplication of everyone solving the same problem. It does so in two ways:
- It provides a powerful framework to simplify the majority of the technical tasks that sysadmins need to perform
- The sysadmin work is written as code in Puppet’s custom language which is shareable just like any other code.
This means that your work as a sysadmin can get done much faster, because you can have Puppet handle most or all of the details, and you can download code from other sysadmins to help you get done even faster. The majority of Puppet implementations use at least one or two modules developed by someone else, and there are already hundreds of modules developed and shared by the community.
Learning Recommendations
We’re glad you want to learn Puppet. You’re free to browse around the documentation as you like, though we generally recommend trying out Puppet locally first (without the daemon and client/server setup), so you can understand the basic concepts. From there, move on to centrally managed server infrastructure. Ralsh is also a great way to get your feet wet exploring the Puppet model, after you have read some of the basic information — you can quickly see how the declarative model works for simple things like users, services, and file permissions.
Once you’ve learned the basics, make sure you understand classes and modules, then move on to the advanced sections and read more about the features that are useful to you. Learning all at once is definitely not required. If you find something confusing, file a ticket or email us at<EMAIL_ADDRESS>to let us know.
System Components
Puppet is typically (but not always) used in a client/server formation, with all of your clients talking to one or more central servers. Each client contacts the server periodically (every half hour, by default), downloads the latest configuration, and makes sure it is in sync with that configuration. Once done, the client can send a report back to the server indicating if anything needed to change. This diagram shows the data flow in a regular Puppet implementation:
Puppet’s functionality is built as a stack of separate layers, each responsible for a fixed aspect of the system, with tight controls on how information passes between layers:
See also Configuring Puppet. For more information about components (puppetmasterd, puppetd, puppet, and so on), see the Tools section.
Features of the System
Idempotency
One big difference between Puppet and most other tools is that Puppet configurations are idempotent, meaning they can safely be run multiple times. Once you develop your configuration, your machines will apply the configuration often — by default, every 30 minutes — and Puppet will only make any changes to the system if the system state does not match the configured state.
If you tell the system to operate in no-op (“aka
dry-run”), mode, using the --noop
argument to one of the Puppet
tools, puppet will guarantee that no work happens on
your system. Similarly, if any changes do happen when running
without that flag, puppet will ensure those changes are logged.
Because of this, you can use Puppet to manage a machine throughout its lifecycle — from initial installation, to ongoing upgrades, and finally to end-of-life, where you move services elsewhere. Unlike system install tools like Sun’s Jumpstart or Red Hat’s Kickstart, Puppet configurations can keep machines up to date for years, rather than just building them correctly only the first time and then neccessitating a rebuild. Puppet users usually do just enough with their host install tools to boostrap Puppet, then they use Puppet to do everything else.
Cross Platform
Puppet’s Resource Abstraction Layer (RAL) allows you to focus on the parts of the system
you care about, ignoring implementation details like command
names, arguments, and file formats — your tools should treat all
users the same, whether the user is stored in NetInfo or
/etc/passwd
. We call these system entities
resources
.
Ralsh, listed in the Tools section is a fun way to try out the RAL before you get too deep into Puppet language.
Model & Graph Based
Resource Types
The concept of each resource (like service, file, user, group, etc) is modelled as a “type”. Puppet decouples the definition from how that implementation is fulfilled on a particular operating system, for instance, a Linux user versus an OS X user can be talked about in the same way but are implemented differently inside of Puppet.
See the types reference for a list of managed types and information about how to use them.
Providers
Providers are the fulfillment of a resource. For instance, for the package type, both ‘yum’ and ‘apt’ are valid ways to manage packages. Sometimes more than one provider will be available on a particular platform, though each platform always has a default provider. There are currently 17 providers for the package type.
Modifying the System
Puppet resource providers are what are responsible for directly managing the
bits on disk. You do not directly modify a system from Puppet language
— you use the language to specify a resource, which then
modifies the system. This way puppet language behaves exactly the same
way in a centrally managed server setup as it does locally without a server.
Rather than tacking a couple of lines onto
the end of your fstab
, you use the mount
type to create a new
resource that knows how to modify the fstab
, or NetInfo, or
wherever mount information is kept.
Resources have attributes called ‘properties’ which change the way a resource is managed. For instance, users have an attribute that specifies whether the home directory should be created.
‘Metaparams’ are another special kind of attribute, those exist on
all resources. This include things like
the log level for the resource, whether the resource should be in
noop
mode so it never modifies the system, and the relationships
between resources.
Resource Relationships
Puppet has a system of modelling relationships between resources — what resources should be evaluated before or after one another. They also are used to determine whether a resource needs to respond to changes in another resource (such as if a service needs to restart if the configuration file for the service has changed). This ordering reduces unneccessary commands, such as avoiding restarting a service if the configuration has not changed.
Because the system is graph based, it’s actually possible to generate a diagram (from Puppet) of the relationships between all of your resources.
Learning The Language
Seeing a few examples in action will greatly help in learning the system.
For information about the Puppet language, see the latest Puppet language reference


Map My Ride
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Class Plastic, that holds all the nessesary information for Plastic and it's types therefore we can use in the interface.
More...
#include <plastic.h>
|
|
std::ostream & | operator<< (std::ostream &os, const Plastic &obj) |
| | Shift operator overload for class Plastic, this will print all the nessesery informations.
|
| |
|
std::ostream & | operator<< (std::ostream &os, const Type &type) |
| | Shift operator overload for Types of Plastic, this will print the name in string.
|
| |
Class Plastic, that holds all the nessesary information for Plastic and it's types therefore we can use in the interface.
◆ Type
Enum that holds the Plastic types.
| Enumerator |
|---|
| P_ABS | - Todo:
Add a short summary brief for this type of metal alloy.
: Add source
|
| UNSPECIFIED | Unspecified metal alloy.
|
◆ getSpecificColor()
| std::string MassCalculator::Materials::Plastic::getSpecificColor |
( |
void |
| ) |
const |
Get the Specific Color object.
- Returns
- std::string Color of the material
◆ getSpecificDensity()
| kilograms_per_cubic_meter_t MassCalculator::Materials::Plastic::getSpecificDensity |
( |
void |
| ) |
const |
Get the Specific Density object.
- Returns
- kilograms_per_cubic_meter_t Density of the material
◆ getSpecificGravity()
| meters_per_second_squared_t MassCalculator::Materials::Plastic::getSpecificGravity |
( |
void |
| ) |
const |
Get the Specific Gravity object.
- Returns
- meters_per_second_squared_t Gravity of the material
◆ getSpecificMeltingPoint()
| kelvin_t MassCalculator::Materials::Plastic::getSpecificMeltingPoint |
( |
void |
| ) |
const |
Get the Specific Melting Point object.
- Returns
- kelvin_t The specific melting point of Aluminium type
◆ getSpecificModOfElasticityTension()
| pascal_t MassCalculator::Materials::Plastic::getSpecificModOfElasticityTension |
( |
void |
| ) |
const |
Get the Specific Modulus of Elasticity Tension object.
- Returns
- pascal_t The specific modulus of elasticity tension point of Aluminium type
◆ getSpecificModOfElasticityTorsion()
| pascal_t MassCalculator::Materials::Plastic::getSpecificModOfElasticityTorsion |
( |
void |
| ) |
const |
Get the Specific Modulus of Elasticity Torsion object.
- Returns
- pascal_t The specific modulus of elasticity torsion point of Aluminium type
◆ getSpecificPoissonsRatio()
| double MassCalculator::Materials::Plastic::getSpecificPoissonsRatio |
( |
void |
| ) |
const |
Get the Specific PoissonsRatio object.
- Returns
- double The specific poissons ratio of Aluminium type
◆ getSpecificThermalConductivity()
| watt_t MassCalculator::Materials::Plastic::getSpecificThermalConductivity |
( |
void |
| ) |
const |
Get the Specific Thermal Conductivity object.
- Returns
- watt_t The specific thermal conductivity of Aluminium type
◆ getType()
| std::pair< std::string, Plastic::Type > MassCalculator::Materials::Plastic::getType |
( |
void |
| ) |
const |
Get the Type object.
- Returns
- std::pair<std::string, Type> Pair with type name and type enum
◆ setType()
| bool MassCalculator::Materials::Plastic::setType |
( |
const Type & |
type | ) |
|
Set the Type object.
- Parameters
-
- Returns
- true If the type is set successfully
-
false If the type failed to set
The documentation for this class was generated from the following files:
- /home/runner/work/masscalculator.github.io/masscalculator.github.io/MassCalculator/masscalculator-core/libraries/masscalculator-core/include/masscalculator/masscalculator-core/materials/plastic.h
- /home/runner/work/masscalculator.github.io/masscalculator.github.io/MassCalculator/masscalculator-core/libraries/masscalculator-core/src/materials/plastic.cc


2 writes to UserDriveEnabled
System.Management.Automation (2)
engine\InitialSessionState.cs (1)
1643
ss.
UserDriveEnabled
= this.UserDriveEnabled;
engine\remoting\fanin\InitialSessionStateProvider.cs (1)
2397
iss.
UserDriveEnabled
= true;
2 references to UserDriveEnabled
System.Management.Automation (2)
engine\InitialSessionState.cs (2)
1643
ss.UserDriveEnabled = this.
UserDriveEnabled
;
2540
if (
UserDriveEnabled
)


The Truth About Cats & Dogs PG-13, 97 m, 1996 Uma Thurman Janeane Garofalo Ben Chaplin ***1/2 out of ****
Janeane Garofalo plays Abby, the host of a call in talk show about pets. She gives advice to people about cats and dogs and other creatures, great and small.
When a caller asks to meet with her, insecurity about her appearence causes her to lie about her looks and stand up the man. She describes Noelle (Uma Thurman), who lives down the hall from her, when asked what she looks like because she never plans on meeting the caller. The caller, Brian (Ben Chaplin), is persistent; he shows up at the station. As luck would have it, Noelle is seated at the mike and the die is cast on the deception: on the phone or radio, it's the real Abby; in person, it's Noelle standing in for her.
This Cyrano de Bergerac-like scheme just sort of naturally unfolds, but it can hardly be the basis for a real relationship.  He has most in common with the real Abby, and Noelle really can't keep up. When Brian gives her a book or asks what she thinks about a photograph, she can't relate the way the real Abby can. Abby and Noelle are different kinds of women. Abby is independent and is fine with her pets. Noelle can't imagine herself not being in a relationship and must use a check list from a magazine to experience the epiphany that, yes, indeed, her current boyfriend is an abusive loser.
The whole thing is unfortunate because Abby and Brian hit it off so well over the phone. Also, Brian seems like a nice guy and Abby is an attractive women with a pretty face and a warm smile, but next to the tall, thin, and exotic Uma Thurman she must feel short and dumpy looking. That's sad, because Brain doesn't seem like he is necessarily looking for a Vogue model for a girlfriend.
What's great about this movie is instead of degenerating into a farcical romp, the characters are developed and you instantly want to like all three. Brian connects with these two women at whatever level he can, which is very different depending on whether he's got Abby on the phone, or "Abby" in person. There is a great phone scene in which Abby and Brian have a long talk culminationg in phone sex. There is also a very erotic scene where he feeds Noelle -- the goody starved model -- some forbidden desert.
There is plenty to like in this movie.
Craig Franck.
-- Craig<EMAIL_ADDRESS>Manchester, NH
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Stephens eyes Olympics, return to form in 2020
Sloane Stephens said she is ready to turn the page on a disappointing 2019 and shift her focus to climbing the world tennis rankings to qualify for next year's Tokyo Olympics.
MARINA DEL REY, Calif.: Sloane Stephens said she is ready to turn the page on a disappointing 2019 and shift her focus to climbing the world tennis rankings to qualify for next year's Tokyo Olympics.
The 26-year-old American, who won the U.S. Open in 2017 and reached world number three in 2018, struggled this year, failing to make the final at any tournament and falling to world number 25.
"I'm excited to start a new season because midway through 2019, I was ready for it to be over," Stephens told Reuters in an interview after hosting a tennis clinic at the Ritz-Carlton in Marina del Rey, California.
"So I'm just looking forward to 2020 and I'm ready for a fresh start. I literally have nothing to lose, a lot in front of me and nowhere to go but up," she said.
"For me it's a good position to be in."
High on her list of goals for 2020 is making her second consecutive appearance for Team USA at the Olympics, she said.
"I made one before, which was really cool, and I'd obviously love to make a second one and play for my country," she said.
To do so, she will need to deal with a gruelling WTA schedule, made even more difficult with the extra playing time and travel needed in an Olympic year.
"Managing the ups and downs throughout the year is a pretty big goal," she said.
"It's about staying healthy and happy, enjoying my tennis and not getting too burnt out at the beginning of the year knowing that it is a very long season," she said.
Stephens said she has no lingering issues with the foot injury she suffered in 2017 that required surgery and sidelined her for 11 months.
Despite her on-court struggles, life off the court has been more upbeat with her engagement to U.S. men's national soccer team and Toronto FC forward Jozy Altidore, whom she began dating in 2016.
"I have a fresh mind and am feeling a lot better on and off the court," she said.
"I think will allow me to have better results."
(Editing by Sam Holmes)


---
layout: post
title: why arduino apps are called sketches
date: '2015-09-13T11:26:00.001-07:00'
author: gojimmypi
tags:
modified_time: '2015-09-13T11:26:28.536-07:00'
blogger_id: tag:blogger.com,1999:blog-4109066286647243251.post-891119949150381189
blogger_orig_url: https://gojimmypi.blogspot.com/2015/09/why-arduino-apps-are-called-sketches.html
---
While watching an Arduino class on PluralSight, I learned that the Arduino IDE is based on Processing
(an artist tool!).
Copyright (c) gojimmypi all rights reserved. Blogger Image Move Cleaned: 5/3/2021 1:35:50 PM


Useful Commands¶
Building and Running KUnit Manually¶
Sometimes for debugging kunit_tool or the interaction between the KUnit kernel and kunit_tool it is useful to build and run the tests manually:
cp kunitconfig .config
make ARCH=um -j 12
./linux mem=1G log_buf_len=2M
Cleaning the Kernel¶
As typical, cleaning object files can be accomplished with:
make clean
and the tree can be fully cleaned with:
make mrproper


Compute the fractional overlap of sel1 respective to sel2.
FO = Nc/Nt Nc is the number of atoms of sel1 in contact with sel2. Nt is the number of atoms of sel1. Hydrogen atoms are ignored. If the contact radius is 0 then the VdW radii will be used. The states are for select a single state from a multi-state objects. OPTIONS: sel1 ligand object. sel2 hotspot object. radius the radius so two atoms are in contact (default: 2). state1 state of sel1. state2 state of sel2. EXAMPLES: fo ref_lig, ftmap1234.D.003 fo ref_lig, ftmap1234.CS.000_016
Bind site identity analysis.
Compute the coefficient between aminoacids ids nearby two selections. OPTIONS sel1 Selection or object 1. sel2 Selection or object 2. polymer1 protein of sel1. polymer2 protein of sel2. radius Radius to look for nearby aminoacids. method 'overlap' or 'sorensen–dice' EXAMPLES nearby_aminoacids_similarity *CS.000_*, *CS.002_*, radius=4 nearby_aminoacids_similarity *D.001*, *D.002*, polymer1='obj1', polymer2='obj2' nearby_aminoacids_similarity 6y84.Bs.001, 6y84.B.004, method=sorensen-dice
Fetch similar structures using the 3D-Shape algorithm.
https://search.rcsb.org/ OPTIONS: pdb_id Reference PDB id. min_similarity 3D-Shape score threshold. max_resolution Fetch only structures up to such resolution. ligand Refrence ligand PDB id for apo evaluation. dist Distance cut-off around reference ligand for apo evaluation. Only used when ligand is given. compounds Selection that shold be considered ligands upon apo evaluation. Only used when ligand is given. prosthetic_groups List of ligands to be ignored when evaluating apo. EXAMPLES: fetch_similar_shape3d 2XY9 SEE ALSO: fetch_similar_blast
The cluster database needs to be updated before the first use of the
fetch_similar_blast feature. The database ftp://resources.rcsb.org/sequence/clusters/ is updated weekly, for new data is prudent to run this command weekly.
Fetch sequence similar structures from RCSB PDB and optionally keep only
apo structures. Apo are evaluated respective to a choosen ligand on the reference chain. On the first use update the database with the command `update_cluster_data`. Update the database weekly. OPTIONS chain_id Reference structure chain id. similarity Sequence similarity threshold (one of the available from RCSB PDB). ligand Reference ligand PDB id. dist Distance cut-off around reference ligand for apo evaluation. compounds Selection that should be considered ligands upon apo computation. Only used when ligand is given. prothestic_groups List of ligands to be ignored when evaluating apo. max_resolution Fetch only X-ray structures with up to such resolution. max_structures Fetch at most n structures. 0 for all structures. EXAMPLES fetch_similar_blast 2XY9_A, 100 fetch_similar_blast 2XY9_A, 95, 3ES, 3, organic fetch_similar_blast 6Y2F_A, max_structures=0 SEE ALSO update_cluster_data fetch_similar_shape3d
Load a FTMap PDB file and classify hotspot ensembles in accordance to
Kozakov et al. (2015). https://doi.org/10.1021/acs.jmedchem.5b00586 OPTIONS path PDB file path, glob or server result id. group optional group name to put objects in. max_cs the maximum number of consensus sites to consider. plot plot similarity matrix. plot_annot remove numbers on similarity matrix. plot_class filter to show only a specific hotspot class. plot_method see `help nearby_aminoacids_similarity`. EXAMPLES load_ftmap fftmap.1234.pdb load_ftmap fftmap.1111.pdb, fftmap.2222.pdb, group=GRP, max_cs=4 load_ftmap fftmap_*.pdb, plot_annot=0, plot_class=D
Calculate a hotspot following Kozakov et al (2015).
USAGE calculate_kozakov2015 sel1, ... EXAMPLES calculate_kozakov2015 *CS.000_*, *CS.002_* calculate_kozakov2015 *.000_*, *.001_*


Mourinho gives insight to new Tottenham mentality after win at West Ham
New Tottenham boss Jose Mourinho said winning was what mattered, not how, after Spurs’ 3-2 win at West Ham on Saturday.
First-half goals from Son Heung-min and Lucas Moura – both incisive attacks – were added to by Harry Kane’s header after the break as Tottenham won away in the Premier League for the first time in 308 days, even though late goals from Michail Antonio and Angelo Ogbonna skewed the scoreline.
And afterwards Mourinho, emphasised the mentality he is looking to bring to the club.
Mourinho speaking to BT Sport: “I was really happy before we conceded the two goals, we were playing well, bringing to the game things we had tried in training.
“We are lucky I have so many years in the Premier League so I told the players at half-time ‘even if we are 3-0 in the 85th minute the game will still be open’.
“But there were also many factors. The emotions of losing the previous manager, people coming back from national teams and fatigue in the last 20 minutes.
“The most important thing was to win, no matter how. The boys are happy and that’s what I really wanted.”
Speaking about Dele All, he added: “‘I’m happy with him, I spent a few minutes with him in training and outside the pitch. And we were saying that the best Dele Alli has to be back.
“He’s too good to not be one of the best players in the world and not playing with the national team.”


To use, enter as much data as you can from your own island. If you bought from Daisy on your own island for the first time this week leave the buy price blank. The tool will figure out all possible patterns and predict the lowest and highest prices for each day.
I couldn't have done this without Ninji's work extracting the code
| Pattern | Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Week Min | Week Max | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AM | PM | AM | PM | AM | PM | AM | PM | AM | PM | AM | PM |


ussl
– SSL/TLS module¶
|see_cpython_module| python:ssl
.
This module provides access to Transport Layer Security (previously and widely known as “Secure Sockets Layer”) encryption and peer authentication facilities for network sockets, both client-side and server-side.
Functions¶
-
ussl.
wrap_socket
(sock, server_side=False, keyfile=None, certfile=None, cert_reqs=CERT_NONE, ca_certs=None)¶ Takes a stream sock (usually usocket.socket instance of
SOCK_STREAM
type), and returns an instance of ssl.SSLSocket, which wraps the underlying stream in an SSL context. Returned object has the usual stream interface methods likeread()
,write()
, etc. In MicroPython, the returned object does not expose socket interface and methods likerecv()
,send()
. In particular, a server-side SSL socket should be created from a normal socket returned fromaccept()
on a non-SSL listening server socket.Depending on the underlying module implementation in a particular MicroPython port, some or all keyword arguments above may be not supported.
Warning
Some implementations of ussl
module do NOT validate server certificates,
which makes an SSL connection established prone to man-in-the-middle attacks.


---
title: "Get Where To Stream Logan Lucky Pictures"
description: "It has received mostly positive reviews from critics and viewers, who have given it an imdb score of 7.0 and a metascore of 78."
date: "2019-12-15"
categories:
- "template"
images:
- "https://pixel.nymag.com/imgs/daily/vulture/2017/08/17/17-logan-lucky.w710.h473.jpg"
featuredImage: "https://bingeddata.s3.amazonaws.com/uploads/2020/12/logan-lucky-1-768x432.jpg"
featured_image: "https://vf-stream.oneproxy.net/logo.png"
image: "https://m.media-amazon.com/images/M/MV5BMTYyODg0NDU1OV5BMl5BanBnXkFtZTgwNjcxMzU0MjI@._V1_UY1200_CR90,0,630,1200_AL_.jpg"
---
Get Where To Stream Logan Lucky Pictures. Stream logan lucky full movie two brothers attempt to pull off a heist during a nascar race in north carolina. Constable nick rowan is a english policeman in the 1960's who decides to be reassigned to the same small village where his wife was born.
You can also rent or buy it starting at $3.99. Here is a list of platforms where you can stream it right now. Stream logan lucky full movie two brothers attempt to pull off a heist during a nascar race in north carolina.
Empocher les recettes de la.
7.0 stars out of 10. The last scene seems to leave a door open for a sequel. Where do i stream logan lucky online? Logan lucky is first and foremost a heist movie.


Running Spark on Kubernetes
- Security
- Prerequisites
- How it works
- Submitting Applications to Kubernetes
- Configuration
Spark can run on clusters managed by Kubernetes. This feature makes use of native Kubernetes scheduler that has been added to Spark.
The Kubernetes scheduler is currently experimental. In future versions, there may be behavioral changes around configuration, container images and entrypoints.
Security
Security in Spark is OFF by default. This could mean you are vulnerable to attack by default. Please see Spark Security and the specific advice below before running Spark.
User Identity
Images built from the project provided Dockerfiles do not contain any USER
directives. This means that the resulting images will be running the Spark processes as root
inside the container. On unsecured clusters this may provide an attack vector for privilege escalation and container breakout. Therefore security conscious deployments should consider providing custom images with USER
directives specifying an unprivileged UID and GID.
Alternatively the Pod Template feature can be used to add a Security Context with a runAsUser
to the pods that Spark submits. Please bear in mind that this requires cooperation from your users and as such may not be a suitable solution for shared environments. Cluster administrators should use Pod Security Policies if they wish to limit the users that pods may run as.
Volume Mounts
As described later in this document under Using Kubernetes Volumes Spark on K8S provides configuration options that allow for mounting certain volume types into the driver and executor pods. In particular it allows for hostPath
volumes which as described in the Kubernetes documentation have known security vulnerabilities.
Cluster administrators should use Pod Security Policies to limit the ability to mount hostPath
volumes appropriately for their environments.
Prerequisites
- A runnable distribution of Spark 2.3 or above.
- A running Kubernetes cluster at version >= 1.6 with access configured to it using
kubectl. If you do not already have a working Kubernetes cluster,
you may set up a test cluster on your local machine using
minikube.
- We recommend using the latest release of minikube with the DNS addon enabled.
- Be aware that the default minikube configuration is not enough for running Spark applications. We recommend 3 CPUs and 4g of memory to be able to start a simple Spark application with a single executor.
 You can verify that you can list these resources
by running
kubectl auth can-i <list|create|edit|delete> pods
.- The service account credentials used by the driver pods must be allowed to create pods, services and configmaps.
- You must have Kubernetes DNS configured in your cluster.
How it works
spark-submit
can be directly used to submit a Spark application to a Kubernetes cluster.
The submission mechanism works as follows:
- Spark creates a Spark driver running within a Kubernetes pod.
- The driver creates executors which are also running within Kubernetes pods and connects to them, and executes application code.
- When the application completes, the executor pods terminate and are cleaned up, but the driver pod persists logs and remains in “completed” state in the Kubernetes API until it’s eventually garbage collected or manually cleaned up.
Note that in the completed state, the driver pod does not use any computational or memory resources.
The driver and executor pod scheduling is handled by Kubernetes. It is possible to schedule the driver and executor pods on a subset of available nodes through a node selector using the configuration property for it. It will be possible to use more advanced scheduling hints like node/pod affinities in a future release.
Submitting Applications to Kubernetes
Docker Images
Kubernetes requires users to supply images that can be deployed into containers within pods. The images are built to
be run in a container runtime environment that Kubernetes supports. Docker is a container runtime environment that is
frequently used with Kubernetes. Spark (starting with version 2.3) ships with a Dockerfile that can be used for this
purpose, or customized to match an individual application’s needs. It can be found in the kubernetes/dockerfiles/
directory.
Spark also ships with a bin/docker-image-tool.sh
script that can be used to build and publish the Docker images to
use with the Kubernetes backend.
Example usage is:
$ ./bin/docker-image-tool.sh -r <repo> -t my-tag build
$ ./bin/docker-image-tool.sh -r <repo> -t my-tag push
Cluster Mode
To launch Spark Pi in cluster mode,
$ bin/spark-submit \
--master k8s://https://<k8s-apiserver-host>:<k8s-apiserver-port> \
--deploy-mode cluster \
--name spark-pi \
--class org.apache.spark.examples.SparkPi \
--conf spark.executor.instances=5 \
--conf spark.kubernetes.container.image=<spark-image> \
local:///path/to/examples.jar
The Spark master, specified either via passing the --master
command line argument to spark-submit
or by setting
spark.master
in the application’s configuration, must be a URL with the format k8s://<api_server_url>
. Prefixing the
master string with k8s://
will cause the Spark application to launch on the Kubernetes cluster, with the API server
being contacted at api_server_url
. If no HTTP protocol is specified in the URL, it defaults to https
. For example,
setting the master to k8s://example.com:443
is equivalent to setting it to k8s://https://example.com:443
, but to
connect without TLS on a different port, the master would be set to k8s://http://example.com:8080
.
In Kubernetes mode, the Spark application name that is specified by spark.app.name
or the --name
argument to
spark-submit
is used by default to name the Kubernetes resources created like drivers and executors. So, application names
must consist of lower case alphanumeric characters, -
, and .
and must start and end with an alphanumeric character.
If you have a Kubernetes cluster setup, one way to discover the apiserver URL is by executing kubectl cluster-info
.
$ kubectl cluster-info
Kubernetes master is running at http://<IP_ADDRESS>:6443
In the above example, the specific Kubernetes cluster can be used with spark-submit
by specifying
--master k8s://http://<IP_ADDRESS>:6443
as an argument to spark-submit. Additionally, it is also possible to use the
authenticating proxy, kubectl proxy
to communicate to the Kubernetes API.
The local proxy can be started by:
$ kubectl proxy
If the local proxy is running at localhost:8001, --master k8s://http://<IP_ADDRESS>:8001
can be used as the argument to
spark-submit. Finally, notice that in the above example we specify a jar with a specific URI with a scheme of local://
.
This URI is the location of the example jar that is already in the Docker image.
Client Mode
Starting with Spark 2.4.0, it is possible to run Spark applications on Kubernetes in client mode. When your application runs in client mode, the driver can run inside a pod or on a physical host. When running an application in client mode, it is recommended to account for the following factors:
Client Mode Networking
Spark executors must be able to connect to the Spark driver over a hostname and a port that is routable from the Spark
executors. The specific network configuration that will be required for Spark to work in client mode will vary per
setup.  When deploying your headless service, ensure that
the service’s label selector will only match the driver pod and no other pods; it is recommended to assign your driver
pod a sufficiently unique label and to use that label in the label selector of the headless service. Specify the driver’s
hostname via spark.driver.host
and your spark driver’s port to spark.driver.port
.
Client Mode Executor Pod Garbage Collection
If you run your Spark driver in a pod, it is highly recommended to set spark.kubernetes.driver.pod.name
to the name of that pod.
When this property is set, the Spark scheduler will deploy the executor pods with an
OwnerReference, which in turn will
ensure that once the driver pod is deleted from the cluster, all of the application’s executor pods will also be deleted.
The driver will look for a pod with the given name in the namespace specified by spark.kubernetes.namespace
, and
an OwnerReference pointing to that pod will be added to each executor pod’s OwnerReferences list. Be careful to avoid
setting the OwnerReference to a pod that is not actually that driver pod, or else the executors may be terminated
prematurely when the wrong pod is deleted.
If your application is not running inside a pod, or if spark.kubernetes.driver.pod.name
is not set when your application is
actually running in a pod, keep in mind that the executor pods may not be properly deleted from the cluster when the
application exits. The Spark scheduler attempts to delete these pods, but if the network request to the API server fails
for any reason, these pods will remain in the cluster. The executor processes should exit when they cannot reach the
driver, so the executor pods should not consume compute resources (cpu and memory) in the cluster after your application
exits.
Authentication Parameters
Use the exact prefix spark.kubernetes.authenticate
for Kubernetes authentication parameters in client mode.
Dependency Management
If your application’s dependencies are all hosted in remote locations like HDFS or HTTP servers, they may be referred to
by their appropriate remote URIs. Also, application dependencies can be pre-mounted into custom-built Docker images.
Those dependencies can be added to the classpath by referencing them with local://
URIs and/or setting the
SPARK_EXTRA_CLASSPATH
environment variable in your Dockerfiles. The local://
scheme is also required when referring to
dependencies in custom-built Docker images in spark-submit
. Note that using application dependencies from the submission
client’s local file system is currently not yet supported.
Secret Management
Kubernetes Secrets can be used to provide credentials for a
Spark application to access secured services. To mount a user-specified secret into the driver container, users can use
the configuration property of the form spark.kubernetes.driver.secrets.[SecretName]=<mount path>
. Similarly, the
configuration property of the form spark.kubernetes.executor.secrets.[SecretName]=<mount path>
can be used to mount a
user-specified secret into the executor containers. Note that it is assumed that the secret to be mounted is in the same
namespace as that of the driver and executor pods. For example, to mount a secret named spark-secret
onto the path
/etc/secrets
in both the driver and executor containers, add the following options to the spark-submit
command:
--conf spark.kubernetes.driver.secrets.spark-secret=/etc/secrets
--conf spark.kubernetes.executor.secrets.spark-secret=/etc/secrets
To use a secret through an environment variable use the following options to the spark-submit
command:
--conf spark.kubernetes.driver.secretKeyRef.ENV_NAME=name:key
--conf spark.kubernetes.executor.secretKeyRef.ENV_NAME=name:key
Using Kubernetes Volumes
Starting with Spark 2.4.0, users can mount the following types of Kubernetes volumes into the driver and executor pods:
- hostPath: mounts a file or directory from the host node’s filesystem into a pod.
- emptyDir: an initially empty volume created when a pod is assigned to a node.
- persistentVolumeClaim: used to mount a
PersistentVolume
into a pod.
NB: Please see the Security section of this document for security issues related to volume mounts.
To mount a volume of any of the types above into the driver pod, use the following configuration property:
--conf spark.kubernetes.driver.volumes.[VolumeType].[VolumeName].mount.path=<mount path>
--conf spark.kubernetes.driver.volumes.[VolumeType].[VolumeName].mount.readOnly=<true|false>
Specifically, VolumeType
can be one of the following values: hostPath
, emptyDir
, and persistentVolumeClaim
. VolumeName
is the name you want to use for the volume under the volumes
field in the pod specification.
Each supported type of volumes may have some specific configuration options, which can be specified using configuration properties of the following form:
spark.kubernetes.driver.volumes.[VolumeType].[VolumeName].options.[OptionName]=<value>
For example, the claim name of a persistentVolumeClaim
with volume name checkpointpvc
can be specified using the following property:
spark.kubernetes.driver.volumes.persistentVolumeClaim.checkpointpvc.options.claimName=check-point-pvc-claim
The configuration properties for mounting volumes into the executor pods use prefix spark.kubernetes.executor.
instead of spark.kubernetes.driver.
. For a complete list of available options for each supported type of volumes, please refer to the Spark Properties section below.
Introspection and Debugging
These are the different ways in which you can investigate a running/completed Spark application, monitor progress, and take actions.
Accessing Logs
Logs can be accessed using the Kubernetes API and the kubectl
CLI. When a Spark application is running, it’s possible
to stream logs from the application using:
$ kubectl -n=<namespace> logs -f <driver-pod-name>
The same logs can also be accessed through the Kubernetes dashboard if installed on the cluster.
Accessing Driver UI
The UI associated with any application can be accessed locally using
kubectl port-forward
.
$ kubectl port-forward <driver-pod-name> 4040:4040
Then, the Spark driver UI can be accessed on http://localhost:4040
.
Debugging
There may be several kinds of failures. If the Kubernetes API server rejects the request made from spark-submit, or the connection is refused for a different reason, the submission logic should indicate the error encountered. However, if there are errors during the running of the application, often, the best way to investigate may be through the Kubernetes CLI.
To get some basic information about the scheduling decisions made around the driver pod, you can run:
$ kubectl describe pod <spark-driver-pod>
If the pod has encountered a runtime error, the status can be probed further using:
$ kubectl logs <spark-driver-pod>
Status and logs of failed executor pods can be checked in similar ways. Finally, deleting the driver pod will clean up the entire spark application, including all executors, associated service, etc. The driver pod can be thought of as the Kubernetes representation of the Spark application.
Kubernetes Features
Namespaces
Kubernetes has the concept of namespaces.
Namespaces are ways to divide cluster resources between multiple users (via resource quota). Spark on Kubernetes can
use namespaces to launch Spark applications. This can be made use of through the spark.kubernetes.namespace
configuration.
Kubernetes allows using ResourceQuota to set limits on resources, number of objects, etc on individual namespaces. Namespaces and ResourceQuota can be used in combination by administrator to control sharing and resource allocation in a Kubernetes cluster running Spark applications.
RBAC
In Kubernetes clusters with RBAC enabled, users can configure Kubernetes RBAC roles and service accounts used by the various Spark on Kubernetes components to access the Kubernetes API server.
The Spark driver pod uses a Kubernetes service account to access the Kubernetes API server to create and watch executor
pods. The service account used by the driver pod must have the appropriate permission for the driver to be able to do
its work. Specifically, at minimum, the service account must be granted a
Role
or ClusterRole
that allows driver
pods to create pods and services. By default, the driver pod is automatically assigned the default
service account in
the namespace specified by spark.kubernetes.namespace
, if no service account is specified when the pod gets created.
Depending on the version and setup of Kubernetes deployed, this default
service account may or may not have the role
that allows driver pods to create pods and services under the default Kubernetes
RBAC policies. Sometimes users may need to specify a custom
service account that has the right role granted. Spark on Kubernetes supports specifying a custom service account to
be used by the driver pod through the configuration property
spark.kubernetes.authenticate.driver.serviceAccountName=<service account name>
. For example, to make the driver pod
use the spark
service account, a user simply adds the following option to the spark-submit
command:
--conf spark.kubernetes.authenticate.driver.serviceAccountName=spark
To create a custom service account, a user can use the kubectl create serviceaccount
command. For example, the
following command creates a service account named spark
:
$ kubectl create serviceaccount spark
To grant a service account a Role
or ClusterRole
, a RoleBinding
or ClusterRoleBinding
is needed. To create
a RoleBinding
or ClusterRoleBinding
, a user can use the kubectl create rolebinding
(or clusterrolebinding
for ClusterRoleBinding
) command. For example, the following command creates an edit
ClusterRole
in the default
namespace and grants it to the spark
service account created above:
$ kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount=default:spark --namespace=default
Note that a Role
can only be used to grant access to resources (like pods) within a single namespace, whereas a
ClusterRole
can be used to grant access to cluster-scoped resources (like nodes) as well as namespaced resources
(like pods) across all namespaces. For Spark on Kubernetes, since the driver always creates executor pods in the
same namespace, a Role
is sufficient, although users may use a ClusterRole
instead. For more information on
RBAC authorization and how to configure Kubernetes service accounts for pods, please refer to
Using RBAC Authorization and
Configure Service Accounts for Pods.
Future Work
There are several Spark on Kubernetes features that are currently being worked on or planned to be worked on. Those features are expected to eventually make it into future versions of the spark-kubernetes integration.
Some of these include:
- Dynamic Resource Allocation and External Shuffle Service
- Local File Dependency Management
- Spark Application Management
- Job Queues and Resource Management
Configuration
See the configuration page for information on Spark configurations. The following configurations are specific to Spark on Kubernetes.
Spark Properties
| Property Name | Default | Meaning |
|---|---|---|
spark.kubernetes.namespace |
default |
The namespace that will be used for running the driver and executor pods. |
spark.kubernetes.container.image |
(none) |
Container image to use for the Spark application.
This is usually of the form example.com/repo/spark:v1.0.0 .
This configuration is required and must be provided by the user, unless explicit
images are provided for each different container type.
|
spark.kubernetes.driver.container.image |
(value of spark.kubernetes.container.image) |
Custom container image to use for the driver. |
spark.kubernetes.executor.container.image |
(value of spark.kubernetes.container.image) |
Custom container image to use for executors. |
spark.kubernetes.container.image.pullPolicy |
IfNotPresent |
Container image pull policy used when pulling images within Kubernetes. |
spark.kubernetes.container.image.pullSecrets |
|
Comma separated list of Kubernetes secrets used to pull images from private image registries. |
spark.kubernetes.allocation.batch.size |
5 |
Number of pods to launch at once in each round of executor pod allocation. |
spark.kubernetes.allocation.batch.delay |
1s |
Time to wait between each round of executor pod allocation. Specifying values less than 1 second may lead to excessive CPU usage on the spark driver. |
spark.kubernetes.authenticate.submission.caCertFile |
(none) |
Path to the CA cert file for connecting to the Kubernetes API server over TLS when starting the driver. This file
must be located on the submitting machine's disk. Specify this as a path as opposed to a URI (i.e. do not provide
a scheme). In client mode, use spark.kubernetes.authenticate.caCertFile instead.
|
spark.kubernetes.authenticate.submission.clientKeyFile |
(none) |
Path to the client key file for authenticating against the Kubernetes API server when starting the driver. This file
must be located on the submitting machine's disk. Specify this as a path as opposed to a URI (i.e. do not provide
a scheme). In client mode, use spark.kubernetes.authenticate.clientKeyFile instead.
|
spark.kubernetes.authenticate.submission.clientCertFile |
(none) |
Path to the client cert file for authenticating against the Kubernetes API server when starting the driver. This
file must be located on the submitting machine's disk. Specify this as a path as opposed to a URI (i.e. do not
provide a scheme). In client mode, use spark.kubernetes.authenticate.clientCertFile instead.
|
spark.kubernetes.authenticate.submission.oauthToken |
(none) |
OAuth token to use when authenticating against the Kubernetes API server when starting the driver. Note
that unlike the other authentication options, this is expected to be the exact string value of the token to use for
the authentication. In client mode, use spark.kubernetes.authenticate.oauthToken instead.
|
spark.kubernetes.authenticate.submission.oauthTokenFile |
(none) |
Path to the OAuth token file containing the token to use when authenticating against the Kubernetes API server when starting the driver.
This file must be located on the submitting machine's disk. Specify this as a path as opposed to a URI (i.e. do not
provide a scheme). In client mode, use spark.kubernetes.authenticate.oauthTokenFile instead.
|
spark.kubernetes.authenticate.driver.caCertFile |
(none) |
Path to the CA cert file for connecting to the Kubernetes API server over TLS from the driver pod when requesting
executors. This file must be located on the submitting machine's disk, and will be uploaded to the driver pod.
Specify this as a path as opposed to a URI (i.e. do not provide a scheme). In client mode, use
spark.kubernetes.authenticate.caCertFile instead.
|
spark.kubernetes.authenticate.driver.clientKeyFile |
(none) |
Path to the client key file for authenticating against the Kubernetes API server from the driver pod when requesting
executors. This file must be located on the submitting machine's disk, and will be uploaded to the driver pod as
a Kubernetes secret. Specify this as a path as opposed to a URI (i.e. do not provide a scheme).
In client mode, use spark.kubernetes.authenticate.clientKeyFile instead.
|
spark.kubernetes.authenticate.driver.clientCertFile |
(none) |
Path to the client cert file for authenticating against the Kubernetes API server from the driver pod when
requesting executors. This file must be located on the submitting machine's disk, and will be uploaded to the
driver pod as a Kubernetes secret. Specify this as a path as opposed to a URI (i.e. do not provide a scheme).
In client mode, use spark.kubernetes.authenticate.clientCertFile instead.
|
spark.kubernetes.authenticate.driver.oauthToken |
(none) |
OAuth token to use when authenticating against the Kubernetes API server from the driver pod when
requesting executors. Note that unlike the other authentication options, this must be the exact string value of
the token to use for the authentication. This token value is uploaded to the driver pod as a Kubernetes secret.
In client mode, use spark.kubernetes.authenticate.oauthToken instead.
|
spark.kubernetes.authenticate.driver.oauthTokenFile |
(none) |
Path to the OAuth token file containing the token to use when authenticating against the Kubernetes API server from the driver pod when
requesting executors. Note that unlike the other authentication options, this file must contain the exact string value of
the token to use for the authentication. This token value is uploaded to the driver pod as a secret. In client mode, use
spark.kubernetes.authenticate.oauthTokenFile instead.
|
spark.kubernetes.authenticate.driver.mounted.caCertFile |
(none) |
Path to the CA cert file for connecting to the Kubernetes API server over TLS from the driver pod when requesting
executors. This path must be accessible from the driver pod.
Specify this as a path as opposed to a URI (i.e. do not provide a scheme). In client mode, use
spark.kubernetes.authenticate.caCertFile instead.
|
spark.kubernetes.authenticate.driver.mounted.clientKeyFile |
(none) |
Path to the client key file for authenticating against the Kubernetes API server from the driver pod when requesting
executors. This path must be accessible from the driver pod.
Specify this as a path as opposed to a URI (i.e. do not provide a scheme). In client mode, use
spark.kubernetes.authenticate.clientKeyFile instead.
|
spark.kubernetes.authenticate.driver.mounted.clientCertFile |
(none) |
Path to the client cert file for authenticating against the Kubernetes API server from the driver pod when
requesting executors. This path must be accessible from the driver pod.
Specify this as a path as opposed to a URI (i.e. do not provide a scheme). In client mode, use
spark.kubernetes.authenticate.clientCertFile instead.
|
spark.kubernetes.authenticate.driver.mounted.oauthTokenFile |
(none) |
Path to the file containing the OAuth token to use when authenticating against the Kubernetes API server from the driver pod when
requesting executors. This path must be accessible from the driver pod.
Note that unlike the other authentication options, this file must contain the exact string value of the token to use
for the authentication. In client mode, use spark.kubernetes.authenticate.oauthTokenFile instead.
|
spark.kubernetes.authenticate.driver.serviceAccountName |
default |
Service account that is used when running the driver pod. The driver pod uses this service account when requesting
executor pods from the API server. Note that this cannot be specified alongside a CA cert file, client key file,
client cert file, and/or OAuth token. In client mode, use spark.kubernetes.authenticate.serviceAccountName instead.
|
spark.kubernetes.authenticate.caCertFile |
(none) | In client mode, path to the CA cert file for connecting to the Kubernetes API server over TLS when requesting executors. Specify this as a path as opposed to a URI (i.e. do not provide a scheme). |
spark.kubernetes.authenticate.clientKeyFile |
(none) | In client mode, path to the client key file for authenticating against the Kubernetes API server when requesting executors. Specify this as a path as opposed to a URI (i.e. do not provide a scheme). |
spark.kubernetes.authenticate.clientCertFile |
(none) | In client mode, path to the client cert file for authenticating against the Kubernetes API server when requesting executors. Specify this as a path as opposed to a URI (i.e. do not provide a scheme). |
spark.kubernetes.authenticate.oauthToken |
(none) | In client mode, the OAuth token to use when authenticating against the Kubernetes API server when requesting executors. Note that unlike the other authentication options, this must be the exact string value of the token to use for the authentication. |
spark.kubernetes.authenticate.oauthTokenFile |
(none) | In client mode, path to the file containing the OAuth token to use when authenticating against the Kubernetes API server when requesting executors. |
spark.kubernetes.driver.label.[LabelName] |
(none) |
Add the label specified by LabelName to the driver pod.
For example, spark.kubernetes.driver.label.something=true .
Note that Spark also adds its own labels to the driver pod
for bookkeeping purposes.
|
spark.kubernetes.driver.annotation.[AnnotationName] |
(none) |
Add the annotation specified by AnnotationName to the driver pod.
For example, spark.kubernetes.driver.annotation.something=true .
|
spark.kubernetes.executor.label.[LabelName] |
(none) |
Add the label specified by LabelName to the executor pods.
For example, spark.kubernetes.executor.label.something=true .
Note that Spark also adds its own labels to the driver pod
for bookkeeping purposes.
|
spark.kubernetes.executor.annotation.[AnnotationName] |
(none) |
Add the annotation specified by AnnotationName to the executor pods.
For example, spark.kubernetes.executor.annotation.something=true .
|
spark.kubernetes.driver.pod.name |
(none) | Name of the driver pod. In cluster mode, if this is not set, the driver pod name is set to "spark.app.name" suffixed by the current timestamp to avoid name conflicts. In client mode, if your application is running inside a pod, it is highly recommended to set this to the name of the pod your driver is running in. Setting this value in client mode allows the driver to become the owner of its executor pods, which in turn allows the executor pods to be garbage collected by the cluster. |
spark.kubernetes.executor.lostCheck.maxAttempts |
10 |
Number of times that the driver will try to ascertain the loss reason for a specific executor. The loss reason is used to ascertain whether the executor failure is due to a framework or an application error which in turn decides whether the executor is removed and replaced, or placed into a failed state for debugging. |
spark.kubernetes.submission.waitAppCompletion |
true |
In cluster mode, whether to wait for the application to finish before exiting the launcher process. When changed to false, the launcher has a "fire-and-forget" behavior when launching the Spark job. |
spark.kubernetes.report.interval |
1s |
Interval between reports of the current Spark job status in cluster mode. |
spark.kubernetes.driver.limit.cores |
(none) | Specify a hard cpu limit for the driver pod. |
spark.kubernetes.executor.request.cores |
(none) |
Specify the cpu request for each executor pod. Values conform to the Kubernetes convention.
Example values include 0.1, 500m, 1.5, 5, etc., with the definition of cpu units documented in CPU units.
This is distinct from spark.executor.cores : it is only used and takes precedence over spark.executor.cores for specifying the executor pod cpu request if set. Task
parallelism, e.g., number of tasks an executor can run concurrently is not affected by this.
|
spark.kubernetes.executor.limit.cores |
(none) | Specify a hard cpu limit for each executor pod launched for the Spark Application. |
spark.kubernetes.node.selector.[labelKey] |
(none) |
Adds to the node selector of the driver pod and executor pods, with key labelKey and the value as the
configuration's value. For example, setting spark.kubernetes.node.selector.identifier to myIdentifier
will result in the driver pod and executors having a node selector with key identifier and value
myIdentifier . Multiple node selector keys can be added by setting multiple configurations with this prefix.
|
spark.kubernetes.driverEnv.[EnvironmentVariableName] |
(none) |
Add the environment variable specified by EnvironmentVariableName to
the Driver process. The user can specify multiple of these to set multiple environment variables.
|
spark.kubernetes.driver.secrets.[SecretName] |
(none) |
Add the Kubernetes Secret named SecretName to the driver pod on the path specified in the value. For example,
spark.kubernetes.driver.secrets.spark-secret=/etc/secrets .
|
spark.kubernetes.executor.secrets.[SecretName] |
(none) |
Add the Kubernetes Secret named SecretName to the executor pod on the path specified in the value. For example,
spark.kubernetes.executor.secrets.spark-secret=/etc/secrets .
|
spark.kubernetes.driver.secretKeyRef.[EnvName] |
(none) |
Add as an environment variable to the driver container with name EnvName (case sensitive), the value referenced by key key in the data of the referenced Kubernetes Secret. For example,
spark.kubernetes.driver.secretKeyRef.ENV_VAR=spark-secret:key .
|
spark.kubernetes.executor.secretKeyRef.[EnvName] |
(none) |
Add as an environment variable to the executor container with name EnvName (case sensitive), the value referenced by key key in the data of the referenced Kubernetes Secret. For example,
spark.kubernetes.executor.secrets.ENV_VAR=spark-secret:key .
|
spark.kubernetes.driver.volumes.[VolumeType].[VolumeName].mount.path |
(none) |
Add the Kubernetes Volume named VolumeName of the VolumeType type to the driver pod on the path specified in the value. For example,
spark.kubernetes.driver.volumes.persistentVolumeClaim.checkpointpvc.mount.path=/checkpoint .
|
spark.kubernetes.driver.volumes.[VolumeType].[VolumeName].mount.readOnly |
(none) |
Specify if the mounted volume is read only or not. For example,
spark.kubernetes.driver.volumes.persistentVolumeClaim.checkpointpvc.mount.readOnly=false .
|
spark.kubernetes.driver.volumes.[VolumeType].[VolumeName].options.[OptionName] |
(none) |
Configure Kubernetes Volume options passed to the Kubernetes with OptionName as key having specified value, must conform with Kubernetes option format. For example,
spark.kubernetes.driver.volumes.persistentVolumeClaim.checkpointpvc.options.claimName=spark-pvc-claim .
|
spark.kubernetes.executor.volumes.[VolumeType].[VolumeName].mount.path |
(none) |
Add the Kubernetes Volume named VolumeName of the VolumeType type to the executor pod on the path specified in the value. For example,
spark.kubernetes.executor.volumes.persistentVolumeClaim.checkpointpvc.mount.path=/checkpoint .
|
spark.kubernetes.executor.volumes.[VolumeType].[VolumeName].mount.readOnly |
false |
Specify if the mounted volume is read only or not. For example,
spark.kubernetes.executor.volumes.persistentVolumeClaim.checkpointpvc.mount.readOnly=false .
|
spark.kubernetes.executor.volumes.[VolumeType].[VolumeName].options.[OptionName] |
(none) |
Configure Kubernetes Volume options passed to the Kubernetes with OptionName as key having specified value. For example,
spark.kubernetes.executor.volumes.persistentVolumeClaim.checkpointpvc.options.claimName=spark-pvc-claim .
|
spark.kubernetes.memoryOverheadFactor |
0.1 |
This sets the Memory Overhead Factor that will allocate memory to non-JVM memory, which includes off-heap memory allocations, non-JVM tasks, and various systems processes. For JVM-based jobs this value will default to 0.10 and 0.40 for non-JVM jobs. This is done as non-JVM tasks need more non-JVM heap space and such tasks commonly fail with "Memory Overhead Exceeded" errors. This prempts this error with a higher default. |
spark.kubernetes.pyspark.pythonVersion |
"2" |
This sets the major Python version of the docker image used to run the driver and executor containers. Can either be 2 or 3. |


Forbes 500 : Summary
We explored the forbes 500 list with respect to their profit ranges. Major observations include:
1. There is a lot of variance in profitability across top 500 companies.
2. More than 75% of companies have profits in the range of (0-5)%.
3. Some companies are also in loss and the loss is even upto the range of 13% but they have made it to the top 500 list because of rating higher in the other three measures.
4. Apple has the highest profit margin across all sectors (45.2%) and Unicredit Group (Financials) has suffered the biggest loss (13%) among top 500.
5. IT is the best sector in terms of profit margins across top 500 companies.
6. Financials has the most variance in the profit ranges across all companies in this sector.
Hope you enjoyed the journey, updates coming soon!


Lia has always been physically active, participating in a variety of individual
and group activities and sports including kayaking, TaeKwonDo, Soccer, Volleyball,
Basketball and swimming. Her love for movement and health grew as she persued an
undergraduate degree in Kinesiology. After graduation, Lia became a Registered
Kinesiologist with the College of Kinesiologists of Ontario. She worked in a
variety of clinical and community settings with older adults creating and
implementing curated health and wellness programs, youth sport concussion
testing and education, and coaching youth soccer. Lia continued her education
and completed a Master of Professional Kinesiology from the University of Toronto
in June 2021.
Collectively, her academic and work experiences alongside her
lived experiences
expanded her understanding of the overarching Canadian healthcare system and
the multitude of factors that directly affect individual and community based
health experiences. Lia brings her deep passion for health and healthcare
forward as she seeks to fill the gaps in healthcare knowledge translation
through the merging of healthcare, technology and programming.