geomesa | big geo-spatial data

 by   locationtech Scala Version: geomesa-3.5.2 License: Apache-2.0

kandi X-RAY | geomesa Summary

kandi X-RAY | geomesa Summary

geomesa is a Scala library typically used in Big Data, Spark applications. geomesa has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

GeoMesa is an open source suite of tools that enables large-scale geospatial querying and analytics on distributed computing systems. GeoMesa provides spatio-temporal indexing on top of the Accumulo, HBase, Google Bigtable and Cassandra databases for massive storage of point, line, and polygon data. GeoMesa also provides near real time stream processing of spatio-temporal data by layering spatial semantics on top of Apache Kafka. Through GeoServer, GeoMesa facilitates integration with a wide range of existing mapping clients over standard OGC (Open Geospatial Consortium) APIs and protocols such as WFS and WMS. GeoMesa supports Apache Spark for custom distributed geospatial analytics.
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            kandi-support Support

              geomesa has a medium active ecosystem.
              It has 1302 star(s) with 415 fork(s). There are 92 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              geomesa has no issues reported. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of geomesa is geomesa-3.5.2

            kandi-Quality Quality

              geomesa has 0 bugs and 0 code smells.

            kandi-Security Security

              geomesa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              geomesa code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              geomesa is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              geomesa releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 167305 lines of code, 10242 functions and 1861 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            geomesa Key Features

            No Key Features are available at this moment for geomesa.

            geomesa Examples and Code Snippets

            Is there a way to list the array values in one cell by adding one onto another
            Lines of Code : 50dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            function main() {
              let ss = SpreadsheetApp.getActiveSpreadsheet();
              let dest = ss.getSheetByName("Baza Danych");
              let form = ss.getSheetByName("Zgloszenia");
            
              // get all data from the form
              var source_data = form.getDataRange().getVa
            generate a json within bitbucket pipeline
            Lines of Code : 16dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            feature/dbt-docs:
                  - step:
                      name: 'setup dbt and generate docs'
                      image: fishtownanalytics/dbt:1.0.0
                      script:
                        - cd dbt_folder
                        - dbt docs generate 
                        - cp target/catalog.json 
            currentUser is returning null
            Lines of Code : 12dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            firebase.auth().onAuthStateChanged((user) => {
              if (user) {
                // User is signed in, see docs for a list of available properties
                // https://firebase.google.com/docs/reference/js/firebase.User
                var uid = user.uid;
                // ...
              }
            copy iconCopy
            df['Doctor'] = (
                df['1st responder']
                  .where(lambda x: x.isin(docs), 
                         other = df['Associates'].str.extract(pat='('+'|'.join(docs)+')')[0])
            )
            print(df)
            #   1st responder        Associates Doctor
            # 0          doc1      
            copy iconCopy
            docs = ['doc1', 'doc2', 'doc3']
            
            df['Doctor'] = df.assign(Associates=df['Associates'].str.split(', ')) \
                             .melt(ignore_index=False).explode('value') \
                             .query('value.isin(@docs)').groupby(level=0)['value'].f
            copy iconCopy
            db.score.aggregate([
              { // the tester of interest
                "$match": { "tester_id": "1" }
              },
              {
                "$lookup": {
                  // lookup by test_id
                  "from": "score",
                  "localField": "test_id",
                  "foreignField": "test_id",
                  "let": 
            integrate firestore from v8 to v9
            Lines of Code : 28dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            
                const collectionRef = query(
                    collection(db, `channels/${channelId}/messages`),
                    orderBy("timestamp", "asc"));
                
                const messageDocs = await collectionRef.get() // this is only the docs
                
                // to get the doc da
            Change a stream in Streambuilder dynamically
            Lines of Code : 54dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            
            Stream? filterStream;
            String? filterValue;
            
            // you can create a method that performs the filtering for you, such as:
            
            void resetStreamWithNameFilter() {
              
                setState(() {
                  
                  // return all products if your filter is empty
                
            copy iconCopy
            trigger:
              paths:
                include:
                - docs
                exclude:
                - docs/README.md
            
            Highmaps display correctly mappoints but not maplines
            Lines of Code : 84dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            (async () => {
            
              const topology = await fetch(
                'https://code.highcharts.com/mapdata/countries/fr/fr-idf-all.topo.json'
              ).then(response => response.json());
            
              // Prepare demo data. The data is joined to map using value of 'hc-

            Community Discussions

            QUESTION

            Geomesa: How to calculate last coordinate in area for each cam device?
            Asked 2022-Feb-15 at 12:59

            I am trying to find the last coordinate for all cams in area in area at time interval:

            ...

            ANSWER

            Answered 2022-Feb-15 at 12:59

            In GeoMesa there is not currently an option to persist or pre-calculate enumerations; generally they would be too large to store efficiently.

            You might explore persisting them separately, or using a local cache such as Guava.

            Source https://stackoverflow.com/questions/71112936

            QUESTION

            Geomesa: Using statistics in redis
            Asked 2022-Jan-28 at 22:00

            I try to use geomesa with redis. I thought that redis enables statistics on geomesa by default.

            my redis geomesa db:

            ...

            ANSWER

            Answered 2022-Jan-28 at 22:00

            When you run an export with a query hint for stats, GeoMesa will always run a query. If you want to use the cached statistics, use the stats-* commands instead. In code, you'd use the stats method which all GeoMesa data stores implement.

            Source https://stackoverflow.com/questions/70900170

            QUESTION

            Geomesa: is there a way to create, delete indexes in geomesa without loosing data? Or I need to recreate a schema?
            Asked 2022-Jan-14 at 16:25

            I have a cassandra with geomesa, in there I have next schema

            ...

            ANSWER

            Answered 2022-Jan-14 at 00:00

            This will involve several steps. You probably want to back up your data before attempting this, in case something goes wrong. First, you want to use updateSchema to add the new index and remove the old one, and set the existing indices to "read only" mode. You can use the GeoMesa CLI scala-console command to run the following:

            Source https://stackoverflow.com/questions/70683229

            QUESTION

            Geomesa: Radius query DWITHIN(geo, POINT (80.57944937597278 69.63928679990498), 130.0, meters) is very long
            Asked 2022-Jan-11 at 20:15

            I have cassandra with geomesa, in there I have next schema

            ...

            ANSWER

            Answered 2022-Jan-11 at 18:37

            The query is slow because it's doing a full scan of all your data. If you look at the explain output, you'll see:

            Source https://stackoverflow.com/questions/70669383

            QUESTION

            Geomesa: how to get last geopoint and how to get unique attributes within bbox?
            Asked 2022-Jan-10 at 13:50

            I have cassandra with geomesa, in there I have next schema

            ...

            ANSWER

            Answered 2022-Jan-10 at 13:50

            You can use the GeoMesa stats API for some of this. You can use the enumeration stat to get all unique values, and you can use the min/max stat to get the "last" value.

            The stats API does not bring back the entire feature, so if you want that you would need to do a secondary lookup or simply iterate over results as you are doing.

            However, since Cassandra does not have any server-side processing, using the stats API will not provide much advantage over your current client-side processing.

            Source https://stackoverflow.com/questions/70647753

            QUESTION

            GeoMesa Spark can't use geohash
            Asked 2021-Oct-18 at 21:59

            I am using GeoMesa Spark on a Databricks cluster referring to this sample notebook: GeoMesa - NYC Taxis. I had no problem importing and using UDF functions such as st_makePoint and st_intersects. However, when I try to use st_geoHash to create a column of geohash of the points, I got this error:

            NoClassDefFoundError: Could not initialize class org.locationtech.geomesa.spark.jts.util.GeoHash$.

            The cluster has geomesa-spark-jts_2.11:3.2.1 and scala-logging_2.11:3.8.0 installed, which are the two given by the notebook (but with a different version of GeoMesa, 2.3.2 in the notebook while 3.2.1 on my cluster). I am new to GeoMesa and Databricks platform. I wonder if I missed some dependencies for the Geohash class to work.

            ...

            ANSWER

            Answered 2021-Oct-04 at 12:03

            I would recommend you to install same version of geomesa-spark-jts_2.11 as given in this notebook.

            To install geomesa-spark-jts_2.11:2.3.2 follow below steps:

            Step1: Click on install library.

            Step2: Select Maven, Search and install geomesa-spark-jts_2.11:2.3.2.

            Step3: You can also download jar file and upload it to Library Source.

            Source https://stackoverflow.com/questions/69397091

            QUESTION

            Geomesa-accumulo add index fail job
            Asked 2021-Jan-28 at 11:31

            have a problem with geomesa failed on adding indexes, maybe someones know where problem is?

            ...

            ANSWER

            Answered 2021-Jan-28 at 11:31

            hadoop 3.1 not support this feature, need 3.2 update

            Source https://stackoverflow.com/questions/65885199

            QUESTION

            Setting up GeoServer on GeoMesa HBase on AWS S3
            Asked 2021-Jan-27 at 12:16

            I am running GeoMesa Hbase on AWS S3. I am able to ingest / export data from inside the cluster with geomesa-hbase ingest / export but I am trying to acces the data remotely. I have installed GeoServer (on the same Master node where GeoMesa is running if that is relevant) but I have difficulty with providing GeoServer the correct JARs to acces GeoMesa. I can find the list of JARs that I should provide to GeoServer here but I am not sure how or where to collect them. I have tried using the install-hadoop.sh & install-hbase.sh shell scripts in the /opt/geomesa/bin folder to install the HBase, Hadoop and Zookeeper JARs into GeoServers’ WEB-INF/lib folder, but if I change the Hadoop, Zookeeper & Hbase version in these shell scripts to be the same as the versions running on my cluster it does not find any JARS.

            I am running everything on an EMR 6.2.0 release version (which comes with Hadoop 3.2.1, Hbase 2.2.6 and Zookeeper 3.4.14). On top of the cluster I am running GeoMesa 3.0.0-m0 with GeoServer 2.17 but I have also tried GeoMesa 2.4.0 with GeoServer 2.15. I’m fine with switching in either the EMR release version or GeoMesa/Server if that makes things easier.

            ...

            ANSWER

            Answered 2021-Jan-27 at 12:16

            For posterity, the setup that worked was:

            • GeoMesa 3.1.1
            • GeoServer 2.17.3
            • Extract the geomesa-hbase-gs-plugin into GeoServer's WEB-INF/lib directory
            • Run install-dependencies.sh (without modification) from the GeoMesa binary distribution to copy jars into GeoServer's WEB-INF/lib directory
            • Copy the hbase-site.xml into GeoServer's WEB-INF/classes directory

            Source https://stackoverflow.com/questions/65898340

            QUESTION

            Running GeoMesa HBase on AWS S3, how do I ingest / export remotely
            Asked 2021-Jan-22 at 16:34

            I am running Geomesa-Hbase on an EMR cluster, set up as described here. I'm able to ssh into the Master and ingest / export from there. How would I ingest / export the data remotely from for example a lambda function (preferably a python solution). Right now for the ingest part I'm running a lambda function that just sends a shell command via SSH:

            ...

            ANSWER

            Answered 2021-Jan-22 at 16:34

            You can ingest or export remotely just by running GeoMesa code on a remote box. This could mean installing the command-line tools, or using the GeoTools API in a processing framework of your choice. GeoServer is typically used for interactive (not bulk) querying.

            There isn't any out-of-the-box solution for ingest/export via AWS lambdas, but you could create a docker image with the GeoMesa command-line tools and invoke that.

            Also note that the command-line tools support ingest and export via map/reduce job, which allows you to run a distributed process using your local install.

            Source https://stackoverflow.com/questions/65842461

            QUESTION

            Installing GeoMesa on Databricks
            Asked 2020-Aug-14 at 14:06

            I'm trying to install GeoMesa in Azure Databricks (Databricks Version 6.6 / Scala 2.11) - trying to follow this tutorial

            I have installed GeoMesa in DataBricks using Maven Coordinates org.locationtech.geomesa:geomesa-spark-jts_2.11:2.3.2 as described.

            However, when I run import org.locationtech.geomesa.spark.GeoMesaSparkKryoRegistrator it's telling me that it's not found.

            All the other imports in this tutorial work just fine:

            ...

            ANSWER

            Answered 2020-Aug-14 at 14:06

            Good question! It appears that there's a small error with this tutorial. The GeoMesaSparkKryoRegistrator is used for managing the serialization of SimpleFeatures in Spark.

            This tutorial does not seem to use SimpleFeatures (at least as of August 2020). As such, this import is likely unnecessary. You ought to be able to progress by skipping that import and the registration of the GeoMesaSparkKryoRegistrator.

            The imported module provides just the spatial types and functions necessary for achieving basic geometry support in Spark. To leverage GeoMesa's datastores in Spark, one would import a GeoMesa database-specific spark-runtime jar. Since those datastores use GeoTools SimpleFeatures, that jars would include the GeoMesaSparkKryoRegistrator, and its use would be similar to what is in that notebook and in the documentation on geomesa.org.

            Source https://stackoverflow.com/questions/63413505

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install geomesa

            Snapshot versions are published nightly to the Eclipse repository:.
            To build for a different Scala version (e.g. 2.11), run the following script, then build as normal:.

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