#hive cli

[amalgjose]

How to execute Hadoop commands in hive shell or command line interface ?

How to execute Hadoop commands in hive shell or command line interface ?

We can execute hadoop commands in hive cli. It is very simple. Just put an exclamation mark (!) before your hadoop command in hive cli and put a semicolon (;) after your command. Example: hive> !hadoop fs –ls / ; drwxr-xr-x   - hdfs supergroup          0 2013-03-20 12:44 /app drwxrwxrwx   - hdfs supergroup          0 2013-05-23 11:54 /tmp drwxr-xr-x   - hdfs supergroup          0 2013-05-08…

[burning-sol]

I had a lot of fun doing Morse code with you both :)

OH MY GOSH YEAH. I was going to be really sad if nobody had played along with me. Thank you for that! ^ ^ (and thanks for actually being smart, cause i really was typing that shit by hand at the beginning like an absolute dummy)

[of-buzzing-melodies]

cli ve, i s it possib le to, li ke, don ate yo ur hiv e to som eone els e? an d al so , u m, d o yo u know an yone who wo uld be wi lling to tak e them?

I am afraid I do not entirely understand. Do you mean in a permanent sense, or purely temporary? The entire hive or only a segment?

I have given parts to assist growing new hives, or to help a close one's swarm regain numbers, but I do not think I could function without the entirety of their bulk.

If you have little ones in need of respite, I would be more than willing to watch them.

[rogue-of-light]

"i† isn'† †ha† i don'† wan† †o see anyone, i jus† simply can'† go †o any healt-- wai† a damn minu†e, high shelf??? how dare y--- i canno† BELIEVE--- UGH!!! i'm no† even †ha†--" offended gasping i could s†ill cli- you know wha†??? WHA†EVER!!! i don'† even care..."

when the short troll is offended by the fact that they're short smh my head (j) dramatic as usual

BWAHAHAHAH

-KPA

HELP ASHFLJASLFKJ

nekane has a shelf in his hive specifically labeled "the no wispeR zone" complete with a custom LED sign xe made xemselves that is just perfectly out of wispers height range

[govindhtech]

Dataplex Automatic Discovery & Cataloging For Cloud Storage

Cloud storage data is made accessible for analytics and governance with Dataplex Automatic Discovery.

In a data-driven and AI-driven world, organizations must manage growing amounts of structured and unstructured data. A lot of enterprise data is unused or unreported, called “dark data.” This expansion makes it harder to find relevant data at the correct time. Indeed, a startling 66% of businesses say that at least half of their data fits into this category.

Google Cloud is announcing today that Dataplex, a component of BigQuery’s unified platform for intelligent data to AI governance, will automatically discover and catalog data from Google Cloud Storage to address this difficulty. This potent potential enables organizations to:

Find useful data assets stored in Cloud Storage automatically, encompassing both structured and unstructured material, including files, documents, PDFs, photos, and more.

When data changes, you can maintain schema definitions current with integrated compatibility checks and partition detection to harvest and catalog metadata for your found assets.

With auto-created BigLake, external, or object tables, you can enable analytics for data science and AI use cases at scale without having to duplicate data or build table definitions by hand.

How Dataplex automatic discovery and cataloging works

The following actions are carried out by Dataplex Automatic Discovery and cataloging process:

With the help of the BigQuery Studio UI, CLI, or gcloud, users may customize the discovery scan, which finds and categorizes data assets in your Cloud Storage bucket containing up to millions of files.

Extraction of metadata: From the identified assets, pertinent metadata is taken out, such as partition details and schema definitions.

Database and table creation in BigQuery: BigQuery automatically creates a new dataset with multiple BigLake, external, or object tables (for unstructured data) with precise, current table definitions. These tables will be updated for planned scans as the data in the cloud storage bucket changes.

Preparation for analytics and artificial intelligence: BigQuery and open-source engines like Spark, Hive, and Pig can be used to analyze, process, and conduct data science and AI use cases using the published dataset and tables.

Integration with the Dataplex catalog: Every BigLake table is linked into the Dataplex catalog, which facilitates easy access and search.

Dataplex automatic discovery and cataloging Principal advantages

Organizations can benefit from Dataplex automatic discovery and cataloging capability in many ways:

Increased data visibility: Get a comprehensive grasp of your data and AI resources throughout Google Cloud, doing away with uncertainty and cutting down on the amount of effort spent looking for pertinent information.

Decreased human work: By allowing Dataplex to scan the bucket and generate several BigLake tables that match your data in Cloud Storage, you can reduce the labor and effort required to build table definitions by hand.

Accelerated AI and analytics: Incorporate the found data into your AI and analytics processes to gain insightful knowledge and make well-informed decisions.

Streamlined data access: While preserving the necessary security and control mechanisms, give authorized users simple access to the data they require.

Please refer to Understand your Cloud Storage footprint with AI-powered queries and insights if you are a storage administrator interested in managing your cloud storage and learning more about your whole storage estate.

Realize the potential of your data

Dataplex’s automated finding and cataloging is a big step toward assisting businesses in realizing the full value of their data. Dataplex gives you the confidence to make data-driven decisions by removing the difficulties posed by dark data and offering an extensive, searchable catalog of your Cloud Storage assets.

FAQs

What is “dark data,” and why does it pose a challenge for organizations?

Data that is unused or undetected in an organization’s systems is referred to as “dark data.” It presents a problem since it might impede well-informed decision-making and represents lost chances for insights.

How does Dataplex address the issue of dark data within Google Cloud Storage?

By automatically locating and cataloguing data assets in Google Cloud Storage, Dataplex tackles dark data and makes them transparent and available for analysis.

Read more on Govindhtech.com

[kmp78]

I'm... just... gonna... leave... this... here...

Bitch please! Leave it there IDGAF! YES HE SAID THAT! BUT WHAT YEAR WAS IT? I know in your fantasy land, people (especially the Leto brothers) are not allowed to mature and change and become better people. God forbid !!!

Sure They have said some questionable things and unfortunately been caught. YOU SAY QUESTIONABLE THINGS BY THE F U C KIN MINITE LADY! Give me a break! Somehow Shannon cli g her a kanga pouch is frowned upon, but you and your F uc king misfits can call him Slothnon, Chinon. And call others in the family awful names like Calling Constance what you have. You're a disgusting trash human and deserve every misery you ever receive in life.

You're a racist, homophobic, misogynistic, rude, judgemental, Narcissistic Sociopathic, ignorant, psychotic, delusional, stalker, mentall ill, annoying as f u c k & quite frankly the most evil, pig faced, scumbag this fan base has ever had the displeasure of dealing with and I truly hope I ger to see the day when the Hive takes you down the rabbit hole of endless lawsuits and GAG orders cause ya know, no one is perfect Pig, least of all you. You will EVENTUALLY step in Sh i t and I HOPE i get to see it happen. YOU DESERVE IT.

Good lord... 😶

[voidedmuffin]

ill put this in my own post so its not directly associate with the blog

@why-is-daraya-in-detention​

ill put it under the cut so it doesnt take up too much space on people’s dashes

ill try to keep it pg yes, there is implied nsfw

no, we didnt fuck

so this particular kin memory is a little fuzzy, timeline wise. I dont remember when it happened. before/during/after sgrub. or when i ditched beforus(thats another fun story btw). or if it was  dream bubble

anyways- you know how cronus is humankin. which to me(enah) is weird because like HOW ARE YOU KIN WITH ANOTHER SPECIES THIS DOESNT MAKE SENSE but then ag a I N-

anyways. since hes humankin he has like, a beachhive and lives next to the ocean, because he, of course, loves swimming, and chillin with his lusus. but didnt really do any deep diving stuff. made him uncomfortable idk.

one day, yes day. hES AWAKE DURING THE GODDAMN DAY like a human i guess and its nearing dusk. and so i come over and visit him. make sure hes not dead and whatnot steal some of his stuff the usual

hes in the “shower” doin his thing, and i thought he was washing his hands and went to ask him why he leaves all this loot layin around

but he was in the shower. 

human and troll showers are different, and he had this weird hybrid, i dont know how to explain it

now, my cronus was this tallass lanky guy guy. that or i just wasnt all that tall. idk. all i know is that he was taller than me

and his makeshift human shower thing was pretty bad. he cod easily see over the curtain and see me

he, trying to be cool in all, smooths back his hair™ and winks, but it was hilarious because hes tryna do this while turning completely violet. and his smile was wavering like “oh my god what do i do. shut up cronus. play it cool.be cool. smiling is cool right? yeah, do that””

its like the weirdest thing to explain. like my fins flared out, and i was like, still holding on to a bag of loot, extended out

and so like, i got this bright idea “mind if i join you?”

and oh my god it made it so much woR S E!

uh, i could describe other stuff, but yknow nsfw 

ANYWAAYS afterwards i slipped out halfway through, uh, that, and left

[dbhosting]

Which Is The Best PostgreSQL GUI? 2021 Comparison

PostgreSQL graphical user interface (GUI) tools help open source database users to manage, manipulate, and visualize their data. In this post, we discuss the top 6 GUI tools for administering your PostgreSQL hosting deployments. PostgreSQL is the fourth most popular database management system in the world, and heavily used in all sizes of applications from small to large. The traditional method to work with databases is using the command-line interface (CLI) tool, however, this interface presents a number of issues:

It requires a big learning curve to get the best out of the DBMS.

Console display may not be something of your liking, and it only gives very little information at a time.

It is difficult to browse databases and tables, check indexes, and monitor databases through the console.

Many still prefer CLIs over GUIs, but this set is ever so shrinking. I believe anyone who comes into programming after 2010 will tell you GUI tools increase their productivity over a CLI solution.

Why Use a GUI Tool?

Now that we understand the issues users face with the CLI, let’s take a look at the advantages of using a PostgreSQL GUI:

Shortcut keys make it easier to use, and much easier to learn for new users.

Offers great visualization to help you interpret your data.

You can remotely access and navigate another database server.

The window-based interface makes it much easier to manage your PostgreSQL data.

Easier access to files, features, and the operating system.

So, bottom line, GUI tools make PostgreSQL developers’ lives easier.

Top PostgreSQL GUI Tools

Today I will tell you about the 6 best PostgreSQL GUI tools. If you want a quick overview of this article, feel free to check out our infographic at the end of this post. Let’s start with the first and most popular one.

1. pgAdmin

pgAdmin is the de facto GUI tool for PostgreSQL, and the first tool anyone would use for PostgreSQL. It supports all PostgreSQL operations and features while being free and open source. pgAdmin is used by both novice and seasoned DBAs and developers for database administration.

Here are some of the top reasons why PostgreSQL users love pgAdmin:

Create, view and edit on all common PostgreSQL objects.

Offers a graphical query planning tool with color syntax highlighting.

The dashboard lets you monitor server activities such as database locks, connected sessions, and prepared transactions.

Since pgAdmin is a web application, you can deploy it on any server and access it remotely.

pgAdmin UI consists of detachable panels that you can arrange according to your likings.

Provides a procedural language debugger to help you debug your code.

pgAdmin has a portable version which can help you easily move your data between machines.

There are several cons of pgAdmin that users have generally complained about:

The UI is slow and non-intuitive compared to paid GUI tools.

pgAdmin uses too many resources.

pgAdmin can be used on Windows, Linux, and Mac OS. We listed it first as it’s the most used GUI tool for PostgreSQL, and the only native PostgreSQL GUI tool in our list. As it’s dedicated exclusively to PostgreSQL, you can expect it to update with the latest features of each version. pgAdmin can be downloaded from their official website.

pgAdmin Pricing: Free (open source)

2. DBeaver

DBeaver is a major cross-platform GUI tool for PostgreSQL that both developers and database administrators love. DBeaver is not a native GUI tool for PostgreSQL, as it supports all the popular databases like MySQL, MariaDB, Sybase, SQLite, Oracle, SQL Server, DB2, MS Access, Firebird, Teradata, Apache Hive, Phoenix, Presto, and Derby – any database which has a JDBC driver (over 80 databases!).

Here are some of the top DBeaver GUI features for PostgreSQL:

Visual Query builder helps you to construct complex SQL queries without actual knowledge of SQL.

It has one of the best editors – multiple data views are available to support a variety of user needs.

Convenient navigation among data.

In DBeaver, you can generate fake data that looks like real data allowing you to test your systems.

Full-text data search against all chosen tables/views with search results shown as filtered tables/views.

Metadata search among rows in database system tables.

Import and export data with many file formats such as CSV, HTML, XML, JSON, XLS, XLSX.

Provides advanced security for your databases by storing passwords in secured storage protected by a master password.

Automatically generated ER diagrams for a database/schema.

Enterprise Edition provides a special online support system.

One of the cons of DBeaver is it may be slow when dealing with large data sets compared to some expensive GUI tools like Navicat and DataGrip.

You can run DBeaver on Windows, Linux, and macOS, and easily connect DBeaver PostgreSQL with or without SSL. It has a free open-source edition as well an enterprise edition. You can buy the standard license for enterprise edition at $199, or by subscription at $19/month. The free version is good enough for most companies, as many of the DBeaver users will tell you the free edition is better than pgAdmin.

DBeaver Pricing

: Free community, $199 standard license

3. OmniDB

The next PostgreSQL GUI we’re going to review is OmniDB. OmniDB lets you add, edit, and manage data and all other necessary features in a unified workspace. Although OmniDB supports other database systems like MySQL, Oracle, and MariaDB, their primary target is PostgreSQL. This open source tool is mainly sponsored by 2ndQuadrant. OmniDB supports all three major platforms, namely Windows, Linux, and Mac OS X.

There are many reasons why you should use OmniDB for your Postgres developments:

You can easily configure it by adding and removing connections, and leverage encrypted connections when remote connections are necessary.

Smart SQL editor helps you to write SQL codes through autocomplete and syntax highlighting features.

Add-on support available for debugging capabilities to PostgreSQL functions and procedures.

You can monitor the dashboard from customizable charts that show real-time information about your database.

Query plan visualization helps you find bottlenecks in your SQL queries.

It allows access from multiple computers with encrypted personal information.

Developers can add and share new features via plugins.

There are a couple of cons with OmniDB:

OmniDB lacks community support in comparison to pgAdmin and DBeaver. So, you might find it difficult to learn this tool, and could feel a bit alone when you face an issue.

It doesn’t have as many features as paid GUI tools like Navicat and DataGrip.

OmniDB users have favorable opinions about it, and you can download OmniDB for PostgreSQL from here.

OmniDB Pricing: Free (open source)

4. DataGrip

DataGrip is a cross-platform integrated development environment (IDE) that supports multiple database environments. The most important thing to note about DataGrip is that it’s developed by JetBrains, one of the leading brands for developing IDEs. If you have ever used PhpStorm, IntelliJ IDEA, PyCharm, WebStorm, you won’t need an introduction on how good JetBrains IDEs are.

There are many exciting features to like in the DataGrip PostgreSQL GUI:

The context-sensitive and schema-aware auto-complete feature suggests more relevant code completions.

It has a beautiful and customizable UI along with an intelligent query console that keeps track of all your activities so you won’t lose your work. Moreover, you can easily add, remove, edit, and clone data rows with its powerful editor.

There are many ways to navigate schema between tables, views, and procedures.

It can immediately detect bugs in your code and suggest the best options to fix them.

It has an advanced refactoring process – when you rename a variable or an object, it can resolve all references automatically.

DataGrip is not just a GUI tool for PostgreSQL, but a full-featured IDE that has features like version control systems.

There are a few cons in DataGrip:

The obvious issue is that it’s not native to PostgreSQL, so it lacks PostgreSQL-specific features. For example, it is not easy to debug errors as not all are able to be shown.

Not only DataGrip, but most JetBrains IDEs have a big learning curve making it a bit overwhelming for beginner developers.

It consumes a lot of resources, like RAM, from your system.

DataGrip supports a tremendous list of database management systems, including SQL Server, MySQL, Oracle, SQLite, Azure Database, DB2, H2, MariaDB, Cassandra, HyperSQL, Apache Derby, and many more.

DataGrip supports all three major operating systems, Windows, Linux, and Mac OS. One of the downsides is that JetBrains products are comparatively costly. DataGrip has two different prices for organizations and individuals. DataGrip for Organizations will cost you $19.90/month, or $199 for the first year, $159 for the second year, and $119 for the third year onwards. The individual package will cost you $8.90/month, or $89 for the first year. You can test it out during the free 30 day trial period.

DataGrip Pricing

: $8.90/month to $199/year

5. Navicat

Navicat is an easy-to-use graphical tool that targets both beginner and experienced developers. It supports several database systems such as MySQL, PostgreSQL, and MongoDB. One of the special features of Navicat is its collaboration with cloud databases like Amazon Redshift, Amazon RDS, Amazon Aurora, Microsoft Azure, Google Cloud, Tencent Cloud, Alibaba Cloud, and Huawei Cloud.

Important features of Navicat for Postgres include:

It has a very intuitive and fast UI. You can easily create and edit SQL statements with its visual SQL builder, and the powerful code auto-completion saves you a lot of time and helps you avoid mistakes.

Navicat has a powerful data modeling tool for visualizing database structures, making changes, and designing entire schemas from scratch. You can manipulate almost any database object visually through diagrams.

Navicat can run scheduled jobs and notify you via email when the job is done running.

Navicat is capable of synchronizing different data sources and schemas.

Navicat has an add-on feature (Navicat Cloud) that offers project-based team collaboration.

It establishes secure connections through SSH tunneling and SSL ensuring every connection is secure, stable, and reliable.

You can import and export data to diverse formats like Excel, Access, CSV, and more.

Despite all the good features, there are a few cons that you need to consider before buying Navicat:

The license is locked to a single platform. You need to buy different licenses for PostgreSQL and MySQL. Considering its heavy price, this is a bit difficult for a small company or a freelancer.

It has many features that will take some time for a newbie to get going.

You can use Navicat in Windows, Linux, Mac OS, and iOS environments. The quality of Navicat is endorsed by its world-popular clients, including Apple, Oracle, Google, Microsoft, Facebook, Disney, and Adobe. Navicat comes in three editions called enterprise edition, standard edition, and non-commercial edition. Enterprise edition costs you $14.99/month up to $299 for a perpetual license, the standard edition is $9.99/month up to $199 for a perpetual license, and then the non-commercial edition costs $5.99/month up to $119 for its perpetual license. You can get full price details here, and download the Navicat trial version for 14 days from here.

Navicat Pricing

: $5.99/month up to $299/license

6. HeidiSQL

HeidiSQL is a new addition to our best PostgreSQL GUI tools list in 2021. It is a lightweight, free open source GUI that helps you manage tables, logs and users, edit data, views, procedures and scheduled events, and is continuously enhanced by the active group of contributors. HeidiSQL was initially developed for MySQL, and later added support for MS SQL Server, PostgreSQL, SQLite and MariaDB. Invented in 2002 by Ansgar Becker, HeidiSQL aims to be easy to learn and provide the simplest way to connect to a database, fire queries, and see what’s in a database.

Some of the advantages of HeidiSQL for PostgreSQL include:

Connects to multiple servers in one window.

Generates nice SQL-exports, and allows you to export from one server/database directly to another server/database.

Provides a comfortable grid to browse and edit table data, and perform bulk table edits such as move to database, change engine or ollation.

You can write queries with customizable syntax-highlighting and code-completion.

It has an active community helping to support other users and GUI improvements.

Allows you to find specific text in all tables of all databases on a single server, and optimize repair tables in a batch manner.

Provides a dialog for quick grid/data exports to Excel, HTML, JSON, PHP, even LaTeX.

There are a few cons to HeidiSQL:

Does not offer a procedural language debugger to help you debug your code.

Built for Windows, and currently only supports Windows (which is not a con for our Windors readers!)

HeidiSQL does have a lot of bugs, but the author is very attentive and active in addressing issues.

If HeidiSQL is right for you, you can download it here and follow updates on their GitHub page.

HeidiSQL Pricing: Free (open source)

Conclusion

Let’s summarize our top PostgreSQL GUI comparison. Almost everyone starts PostgreSQL with pgAdmin. It has great community support, and there are a lot of resources to help you if you face an issue. Usually, pgAdmin satisfies the needs of many developers to a great extent and thus, most developers do not look for other GUI tools. That’s why pgAdmin remains to be the most popular GUI tool.

If you are looking for an open source solution that has a better UI and visual editor, then DBeaver and OmniDB are great solutions for you. For users looking for a free lightweight GUI that supports multiple database types, HeidiSQL may be right for you. If you are looking for more features than what’s provided by an open source tool, and you’re ready to pay a good price for it, then Navicat and DataGrip are the best GUI products on the market.

Ready for some PostgreSQL automation?

See how you can get your time back with fully managed PostgreSQL hosting. Pricing starts at just $10/month.

While I believe one of these tools should surely support your requirements, there are other popular GUI tools for PostgreSQL that you might like, including Valentina Studio, Adminer, DB visualizer, and SQL workbench. I hope this article will help you decide which GUI tool suits your needs.

Which Is The Best PostgreSQL GUI? 2019 Comparison

Here are the top PostgreSQL GUI tools covered in our previous 2019 post:

pgAdmin

DBeaver

Navicat

DataGrip

OmniDB

Original source: ScaleGrid Blog

[burning-sol]

Bro I- *cleans my atnennae again* Hang on a sec.

*turns to the rest of the hive*

cliclickclick clicliclicli clickclickclick / clicli cliclicli / click clicliclicli clicli cliclicli / cliclick clickcli clickclicli / cliclickclick clicliclicli clickcliclickclick / click clicliclicli cli clickcliclickclick / clickclicli clickclickclick / clickcli clickclickclick click / cliclicli clickclick cli cliclickclicli cliclickclicli / cliclickcli clicli clickclickcli clicliclicli click cliclickcliclickcliclick

You talk big game about BITB posting but I see no truly bugged behaviour. When was the last time you shed your exoskeleton, huh? When was the last time you left a pheromone trail?? Have YOU been building for the hive???? Wait are you even a bug *cleans my antennae* oh bro my mistake ur like a slug or something....... Oh my gosh this is so embarrassing............. I will be going now............

[gitkraken-crack-uc]

Download GitKraken crack (keygen) latest version 9VU3#

💾 ►►► DOWNLOAD FILE 🔥🔥🔥 Git is what gives a dev their power…It binds the galaxy together. Workspaces can currently support up to repositories for an Azure Project. Users can type either gk rebase -i or gk rebase —interactive along with two refs to open the interactive rebase view. If only one ref is passed it will perform the rebase of the branch currently checked out onto the specified ref. Bug Fixes: Bugs…You will never find a more wretched hive of scum and villainy. Users will see increased performance when opening a commit diff for very large images. Large images will now display as a binary file Instead of producing an error. For large files, such as images and other media, we recommend using Git LFS. Dotted graph lines will no longer take precedence when overlapping with solid lines in graph views. When un-hiding a remote, users can continue hiding or un-hiding remotes without waiting for the triggered automatic fetch to resolve. Azure DevOps integrations and all self hosted integrations will now work properly on our new Teams license tier. Users can now use quotation marks when naming Workspaces. All Organization and Team actions will remain available after using the login screen. The scrollbar in the GitKraken Terminal will now remain clickable in all situations. When a user pushes many files up at once to GitHub, they will no longer experience an OAuth infinite loop. Opening repositories via gitkraken —path when GitKraken is already open will now work as expected. Improvements: An elegant Git client for a more civilized age. Note: Significant work towards reducing checkout times for LFS repos is underway and we plan to include these improvements in the GitKraken Client v8. When creating a new Team, members can now be added as part of the creation process. Team members are now sorted by username in the Teams section, found in the left panel of GitKraken Client. Improvements to GitKraken Workspaces: Workspaces can now be shared as Team Workspaces, allowing users to share the Workspace with specific teams within their Organization. In the Workspaces Repository view, clicking on the name of a repository will open it in a Repo Tab. Users can view repository information by clicking on the Open Repository Details option, found on the right side of the Repositories view. Users will find more options for filtering in the Workspaces Pull Requests view. For Windows users, GitKraken Client will now respect the core. On Windows, core. GitKraken CLI autocomplete will now be able to suggest more than one argument in these commands: git add.

[gitkraken-crack-e1]

Download GitKraken crack (license key) latest version 89T*

💾 ►►► DOWNLOAD FILE 🔥🔥🔥 Git is what gives a dev their power…It binds the galaxy together. Workspaces can currently support up to repositories for an Azure Project. Users can type either gk rebase -i or gk rebase —interactive along with two refs to open the interactive rebase view. If only one ref is passed it will perform the rebase of the branch currently checked out onto the specified ref. Bug Fixes: Bugs…You will never find a more wretched hive of scum and villainy. Users will see increased performance when opening a commit diff for very large images. Large images will now display as a binary file Instead of producing an error. For large files, such as images and other media, we recommend using Git LFS. Dotted graph lines will no longer take precedence when overlapping with solid lines in graph views. When un-hiding a remote, users can continue hiding or un-hiding remotes without waiting for the triggered automatic fetch to resolve. Azure DevOps integrations and all self hosted integrations will now work properly on our new Teams license tier. Users can now use quotation marks when naming Workspaces. All Organization and Team actions will remain available after using the login screen. The scrollbar in the GitKraken Terminal will now remain clickable in all situations. When a user pushes many files up at once to GitHub, they will no longer experience an OAuth infinite loop. Opening repositories via gitkraken —path when GitKraken is already open will now work as expected. Improvements: An elegant Git client for a more civilized age. Note: Significant work towards reducing checkout times for LFS repos is underway and we plan to include these improvements in the GitKraken Client v8. When creating a new Team, members can now be added as part of the creation process. Team members are now sorted by username in the Teams section, found in the left panel of GitKraken Client. Improvements to GitKraken Workspaces: Workspaces can now be shared as Team Workspaces, allowing users to share the Workspace with specific teams within their Organization. In the Workspaces Repository view, clicking on the name of a repository will open it in a Repo Tab. Users can view repository information by clicking on the Open Repository Details option, found on the right side of the Repositories view. Users will find more options for filtering in the Workspaces Pull Requests view. For Windows users, GitKraken Client will now respect the core. On Windows, core. GitKraken CLI autocomplete will now be able to suggest more than one argument in these commands: git add.

[gitkraken-crack-zn]

Download GitKraken crack (serial key) latest version XDR№

💾 ►►► DOWNLOAD FILE 🔥🔥🔥 Git is what gives a dev their power…It binds the galaxy together. Workspaces can currently support up to repositories for an Azure Project. Users can type either gk rebase -i or gk rebase —interactive along with two refs to open the interactive rebase view. If only one ref is passed it will perform the rebase of the branch currently checked out onto the specified ref. Bug Fixes: Bugs…You will never find a more wretched hive of scum and villainy. Users will see increased performance when opening a commit diff for very large images. Large images will now display as a binary file Instead of producing an error. For large files, such as images and other media, we recommend using Git LFS. Dotted graph lines will no longer take precedence when overlapping with solid lines in graph views. When un-hiding a remote, users can continue hiding or un-hiding remotes without waiting for the triggered automatic fetch to resolve. Azure DevOps integrations and all self hosted integrations will now work properly on our new Teams license tier. Users can now use quotation marks when naming Workspaces. All Organization and Team actions will remain available after using the login screen. The scrollbar in the GitKraken Terminal will now remain clickable in all situations. When a user pushes many files up at once to GitHub, they will no longer experience an OAuth infinite loop. Opening repositories via gitkraken —path when GitKraken is already open will now work as expected. Improvements: An elegant Git client for a more civilized age. Note: Significant work towards reducing checkout times for LFS repos is underway and we plan to include these improvements in the GitKraken Client v8. When creating a new Team, members can now be added as part of the creation process. Team members are now sorted by username in the Teams section, found in the left panel of GitKraken Client. Improvements to GitKraken Workspaces: Workspaces can now be shared as Team Workspaces, allowing users to share the Workspace with specific teams within their Organization. In the Workspaces Repository view, clicking on the name of a repository will open it in a Repo Tab. Users can view repository information by clicking on the Open Repository Details option, found on the right side of the Repositories view. Users will find more options for filtering in the Workspaces Pull Requests view. For Windows users, GitKraken Client will now respect the core. On Windows, core. GitKraken CLI autocomplete will now be able to suggest more than one argument in these commands: git add.

[nitendratech]

Hive Query Language(HQL) Interview Questions

Apache Hive Query interview Questions #hive #hql #interview #python #bigdata #hadoop #sql #hdfs #file #dataengineering #engineering #computer science

In the earlier blog post, we looked into various interview questions that can come with Hive and its architecture. In this blog post, we will mainly focus on the interview questions related to the Hive Query Language(HQL)? Question: How can we run the Hive query script file from CLI? Answer: We can run the Hive query script file from CLI using the SOURCE command. Let’s take a look at the below…