B-hyve Code

[Akeem Luperon]

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If you're on Linux, you may need to install SASL separately before running the above. Install the package libsasl2-dev using apt-get or yum or whatever package manager for your distribution. For Windows there are some options on GNU.org, you can download a binary installer. On a Mac SASL should be available if you've installed xcode developer tools (xcode-select --install in Terminal)

here's a generic approach which makes it easy for me because I keep connecting to several servers (SQL, Teradata, Hive etc.) from python. Hence, I use the pyodbc connector. Here's some basic steps to get going with pyodbc (in case you have never used it):

It is a common practice to prohibit for a user to download and install packages and libraries on cluster nodes. In this case solutions of @python-starter and @goks are working perfect, if hive run on the same node. Otherwise, one can use a beeline instead of hive command line tool. See details

Here is an alternative solution specifically for hive2 that does not require PyHive or installing system-wide packages. I am working on a linux environment that I do not have root access to so installing the SASL dependencies as mentioned in Tristin's post was not an option for me:

Specifically, this solution focuses on leveraging the python package: JayDeBeApi. In my experience installing this one extra package on top of a python Anaconda 2.7 install was all I needed. This package leverages java (JDK). I am assuming that is already set up.

In the pyhive solutions listed I've seen PLAIN listed as the authentication mechanism as well as Kerberos. Note that your jdbc connection URL will depend on the authentication mechanism you are using. I will explain Kerberos solution without passing a username/password. Here is more information Kerberos authentication and options.

Don't be confused that some of the above examples below about Impala; just change port to 10000 (default) for HiveServer2, and it'll work the same way as with Impala examples. It's the same protocol (Thrift) that is used for both Impala and Hive.

Then i setup my LDAP server url (as the Ambari requested):Restarted the Hive but hiveserver2.log shows the following during it's startup: ERROR [HiveServer2-Handler-Pool: Thread-56]: transport.TSaslTransport (TSaslTransport.java:open(315)) - SASL negotiation failurejavax.security.sasl.SaslException: Error validating the login [Caused by javax.security.sasl.AuthenticationException: Error validating LDAP user [Caused by javax.naming.AuthenticationException: [LDAP: error code 49 - 80090308: LdapErr: DSID-0C0903A9, comment: AcceptSecurityContext error, data 52e, v1db1]]]

According to the error LDAP 49 - 52e the problem is with the credentials that were passed to the LDAP server.I don't find any field \ parameter in which i set the LDAP user & password for authentication...Needless to say that the authentication acts as if it is set to NONE (which is a major problem....)

My problem is when i use third party querying tools such as SQLdeveloper (or even IBM cognos) - i'm able to connect to the hive, see tables and query - without providing any password or with providing wrong password (As if the Security is set to NONE).

The HiveServer2 acts the same if the security is set to LDAP or NONE, and it shouldn't.When set to NONE - as long as my user has authorization for a specific table - i can query it without authentication against LDAP. (hence - NONE. no Authentication needed).When set to LDAP, if setup is correct, i won't be able to query anything without connecting using my credentials.

During the HiveServer2 startup i see that error in the log (52e) - so HiveServer2 has some sort of configuration problem regarding LDAP.There must be a property in which i setup a user & password for HS2 to check authentication against LDAP but i can't find any...

when integration is planned with PWS (www.pwsweather.com) or directly with Orbit system (www.orbitonline.com)?

I ask because mine Orbit B-Hyve sprinkler system has integration with PWS, and i am not able to integrate my Tempest WeatherFlow device

This feature request has no votes yet. You could vote for it so that it has more chance of being noticed under the many requests with more votes which are currently being worked on.

If you need the solution now then many of us have used the types of suggestions that you have been offerred already.

Cheers Ian

?️ Google Apps Script code to send Wunderground/MyAcurite/Weatherlink/Tempest PWS data to Wunderground, Windy, PWSWeather, Weathercloud, and/or OpenWeatherMap - GitHub - leoherzog/WundergroundStati...

bhyve (pronounced "bee hive", formerly written as BHyVe for "BSD hypervisor") is a type-2 (hosted) hypervisor initially written for FreeBSD.[1][2][3] It can also be used on a number of illumos based distributions including SmartOS,[4] OpenIndiana, and OmniOS.[5] A port of bhyve to macOS called xhyve is also available.[6]

bhyve supports the virtualization of several guest operating systems, including FreeBSD 9+, OpenBSD, NetBSD, Linux, illumos, DragonFly and Windows NT[7] (Windows Vista and later, Windows Server 2008 and later). bhyve also supports UEFI installations and VirtIO emulated interfaces. Windows virtual machines require VirtIO drivers for a stable operation. Current development efforts aim at widening support for other operating systems for the x86-64 architecture.

Support for peripherals relies on basic and VirtIO drivers and supports: eXtensible Host Controller Interface (xHCI) USB controllers, NVM Express (NVMe) controllers, High Definition Audio Controllers, raw framebuffer device attached to VNC server (Video Output), and AHCI/PCI Passthrough.[8]

Since the support for peripherals is incomplete, hardware-accelerated graphics is only available using PCI passthrough. But, Intel GVT (and other vGPUs with driver support) should allow sharing the device with the host.[9]

bhyve performs about the same as its competitors with lack of memory ballooning and accelerated graphics interface, but bhyve has a more modern codebase and uses fewer resources. In the case of FreeBSD the resource management is more efficient. FreeBSD is also known for its exemplary I/O speeds; running bhyve from FreeBSD has a lot of advantages for time-critical virtual appliances by reducing I/O time, especially on disk and network related loads.

Welcome to HiveMQ Community! The code example on the tutorial is directed to ESP8266 devices. Converting that code into something easier to use with ESP32 devices, you have the following code. I have tested it on my NodeMCU ESP32 device and it worked like a charm! Give it a try on your ESP32 CAM device and share the results.

I wanted to share my beehive connected project. I want to thank all the people who helped me in the programming. My system is currently being tested out, it allows to measure the weight of my hive, the temperature and the external humidity, the voltage of the battery and the time of wifi connection. 2 small solar panels charge the battery and Deep sleep mode allows me to send the data every 33mins. Currently the weight sensor can weigh max 50Kg but I also have another system that can go up to 200Kg

This may solve the problem with permanent mass on the scale in between power cycles:

github.com sparkfun/HX711-Load-Cell-Amplifier/blob/master/firmware/SparkFun_HX711_Calibration/SparkFun_HX711_Calibration.ino/* Example using the SparkFun HX711 breakout board with a scale By: Nathan Seidle SparkFun Electronics Date: November 19th, 2014 License: This code is public domain but you buy me a beer if you use this and we meet someday (Beerware license). This is the calibration sketch. Use it to determine the calibration_factor that the main example uses. It also outputs the zero_factor useful for projects that have a permanent mass on the scale in between power cycles. Setup your scale and start the sketch WITHOUT a weight on the scale Once readings are displayed place the weight on the scale Press +/- or a/z to adjust the calibration_factor until the output readings match the known weight Use this calibration_factor on the example sketch This example assumes pounds (lbs). If you prefer kilograms, change the Serial.print(" lbs"); line to kg. The calibration factor will be significantly different but it will be linearly related to lbs (1 lbs = 0.453592 kg). Your calibration factor may be very positive or very negative. It all depends on the setup of your scale system and the direction the sensors deflect from zero state This file has been truncated. show original

If your workspace was in service before it was enabled for Unity Catalog, it likely has a Hive metastore that contains data that you want to continue to use. Databricks recommends that you migrate the tables managed by the Hive metastore to the Unity Catalog metastore, but if you choose not to, this article explains how to work with data managed by both metastores.

The Unity Catalog metastore is additive, meaning it can be used with the per-workspace Hive metastore in Databricks. The Hive metastore appears as a top-level catalog called hive_metastore in the three-level namespace.

If you configured table access control on the Hive metastore, Databricks continues to enforce those access controls for data in the hive_metastore catalog for clusters running in the shared access mode. The Unity Catalog access model differs slightly from legacy access controls, like no DENY statements. The Hive metastore is a workspace-level object. Permissions defined within the hive_metastore catalog always refer to the local users and groups in the workspace. See Differences from table access control.

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