magellan | Geo Spatial Data Analytics on Spark
kandi X-RAY | magellan Summary
kandi X-RAY | magellan Summary
Magellan is a distributed execution engine for geospatial analytics on big data. It is implemented on top of Apache Spark and deeply leverages modern database techniques like efficient data layout, code generation and query optimization in order to optimize geospatial queries. The application developer writes standard sql or data frame queries to evaluate geometric expressions while the execution engine takes care of efficiently laying data out in memory during query processing, picking the right query plan, optimizing the query execution with cheap and efficient spatial indices while presenting a declarative abstraction to the developer. Magellan is the first library to extend Spark SQL to provide a relational abstraction for geospatial analytics. I see it as an evolution of geospatial analytics engines into the emerging world of big data by providing abstractions that are developer friendly, can be leveraged by anyone who understands or uses Apache Spark while simultaneously showcasing an execution engine that is state of the art for geospatial analytics on big data.
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Trending Discussions on magellan
QUESTION
I noticed that when I scroll upwards fast in Safari, the sticky nav jumps around, then I have to scroll slowly again to get it to click back into it's proper place. I'm using Foundation 6. Also, this is a new issue, as everything used to work just fine in Safari, but something must have changed in the past 4 months or so. See below for an example of the issue.
Here's the HTML for the nav bar. I haven't done anything special with the CSS.
...ANSWER
Answered 2021-Jan-27 at 21:48Had the same problem. I added an id to the body tag and then anchored the top container to it.
QUESTION
I have a Beach
component here that is throwing me the error:
ANSWER
Answered 2020-Nov-25 at 04:47import React, { useState, useEffect } from "react";
import axios from "axios";
const Beach = ({ match }) => {
const [resort, setResort] = useState(null);
useEffect(() => {
const fetchBeach = async () => {
const { data } = await axios.get(`/api/resorts/${match.params.id}`);
setResort(data);
};
fetchBeach();
}, [match]);
const {
name,
address,
city,
province,
zip_code,
image,
description,
amenities,
website,
phone,
email,
} = resort;
return (
{name}
{" "}
{`${address}, ${city} ${province}, USA, ${zip_code}`}
{description}
Amenities:
{resort
? Object.entries(amenities).map(([key, value]) => {
if (value) {
return {key}
;
}
return null;
})
: null}
);
};
export default Beach;
QUESTION
I have the following dummy data on my code:
...ANSWER
Answered 2020-Nov-24 at 07:24Use map
instead of forEach
QUESTION
I am trying to rank a factor variable. Though i am able to rank however i am not able to understand the logic behind this.Please let me know if i can use the ranking for my correlation in combination with the numerical variables?And how is ranking logic?
...ANSWER
Answered 2020-Jun-28 at 10:15It doesn't make any sense at all. If you look at your levels now:
QUESTION
I'm trying to load geojson file with spark and magellan library My code for loading is:
...ANSWER
Answered 2017-Jun-08 at 21:10If you are running on EMR, you can just use "s3://bucket/path" instead of "s3n://...."
QUESTION
{
"id": "bf96aa5d-daf7-4de6-8ab0-c5ceb57b43af",
"created": "1582519813359",
"result": {
"status": "Succeed"
},
"amount": 6789,
"provider_data": {
"provider_name": "Magellan",
"response_code": "00",
"description": "Successful",
"raw_response": "{\"raw_response\":\"
e5638752-be88-423b-8db8-e181db4825651582519812683
14976972006762
00
Successfultrue
\"}",
"transaction_id": "14976972006762"
},
...ANSWER
Answered 2020-Feb-24 at 06:50You can get to the SOAP call by doing a couple of Deserialization calls.
- Deserialize the json, main Json
- Deserialzie the json, raw_response
- Deserialize the xml, raw_response
- Access the elements you need.
Classes you need for the SOAP XML
QUESTION
I have a string variable that tells me what insurances are accepted by individual doctors.
Example data for the first five doctors in the dataset:
...ANSWER
Answered 2019-Oct-09 at 21:51The following works for me:
QUESTION
Let's say that I have following file on my master branch
...ANSWER
Answered 2019-May-23 at 17:20There is nothing built in to Git to do this.
You can handle some cases by using git read-tree
to do the merge in the index, without resolving any conflicting changes. But note that even git read-tree
's 3-way merge will in some cases just pick one of the two endpoint versions of some file: if the merge base version (tree #1 as inserted into slot #1 in the index) of some file F matches one of the other two (staging slots 2 or 3), and does not match the version of F in the other of the two staging slots, git read-tree
will collapse the three versions down to a single stage-zero slot, taking the modified file.
In other words, given your example with two different contents for truth.txt
, we first need to know: what does the merge base version say? If the merge base version of truth.txt
exactly matches one of the two branch-tip versions, then all Git merge operations will just automatically take the other version. Only when all three differ will Git leave all three in the index, so that you can achieve your desired result using some of Git's built-in helpers.
If that does not match up with your desires, you're stuck with building your own programs to deal with the various trees. Note that you can make your own temporary index and use git read-tree
to fill it, then use git ls-files --stage
on however many temporary index files you used, plus of course the real index file, to compare entities. That gives you a fast way to decide whether truth.txt
is identical or different in any two trees read into any two index files.
(You could do all of this without using any of Git's internals, of course: just check out the commits in question in separate work-trees, and compare work-tree files.)
QUESTION
I have a dataframe with many columns, that I have created from a csv file defining a schema. The only column I'm interest in is a column called "Point", where I defined a magellan Point(long, lat). What I need to do now, is creating an RDD[Point] from that dataframe.
Below is the code that I have tried, but it does not work since rdd
is a RDD[Row] instead of RDD[Point].
ANSWER
Answered 2019-Apr-19 at 12:01If I understand correctly, you want the result to be of a custom class type which is Point
instead of Row
type
This is what I have tried:
My input data sample is :
QUESTION
This is my first time using Vue. I am trying to create a slideshow from an array of images. I have am able to disable my "previous" button, when the user is at the beginning of the slideshow, but cannot disable my "next" button when at the last image of the slide show.
Here is my code:
...ANSWER
Answered 2019-Jan-09 at 03:25Maybe try putting the logic in computed?
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