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Re: [geomesa-users] Exception java.lang.NoSuchMethodError org.apache.accumulo.core.tabletserver.thrift.TabletClientService$Client.sendBaseOneway

Hello Anthony,

I can rebuild all stack, do you recommend to use accumulo 1.8? Or should I use 1.7 series?

Milan



Ing. Milan Muňko | Co-Founder

AI-MAPS s. r. o., Tallerova 4, 811 02 Bratislava Slovakia

Mobile: +421 944 612 592

Email: milan.munko@xxxxxxxxxxx

Web: www.ai-maps.com


On 27.12.2016 14:45, Anthony Fox wrote:
Milan,

GeoMesa 1.3.0+ is built against Accumulo 1.7.2 by default.  Is it
possible for you to bump your version of Accumulo up to the 1.7 series?

-Anthony.

Milan Muňko <milan.munko@xxxxxxxxxxx> writes:

Hello Antony,

My accumulo version is 1.6.6, but I wil try to use new 1.3.0-m3 and test
if the issue persists.

Thanks,
Milan



	Ing. Milan Muňko | Co-Founder

	AI-MAPS s. r. o., Tallerova 4, 811 02 Bratislava Slovakia

	Mobile: +421 944 612 592

	Email: milan.munko@xxxxxxxxxxx

	Web: www.ai-maps.com



On 23.12.2016 14:14, Anthony Fox wrote:
Hi Milan

What version of Accumulo are you using?  I've seen this error when
using 1.8.0. We recently merged a fix into master (1.3.0-m3-SNAPSHOT)
that addresses the issue. Basically, versions of the libthrift library
are out of sync.

Thanks
Anthony


On Dec 23, 2016, at 7:38 AM, Milan Muňko <milan.munko@xxxxxxxxxxx
<mailto:milan.munko@xxxxxxxxxxx>> wrote:

Hello everyone and merry christmas

I want to use write data to geomesa programatically, but I get
following error:

/Exception in thread "main" java.lang.NoSuchMethodError:
org.apache.accumulo.core.tabletserver.thrift.TabletClientService$Client.sendBaseOneway(Ljava/lang/String;Lorg/apache/thrift/TBase;)V//
//    at
org.apache.accumulo.core.tabletserver.thrift.TabletClientService$Client.send_closeScan(TabletClientService.java:303)//
//    at
org.apache.accumulo.core.tabletserver.thrift.TabletClientService$Client.closeScan(TabletClientService.java:295)//
//    at
org.apache.accumulo.core.client.impl.ThriftScanner.getBatchFromServer(ThriftScanner.java:117)//
//    at
org.apache.accumulo.core.metadata.MetadataLocationObtainer.lookupTablet(MetadataLocationObtainer.java:101)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl.lookupTabletLocation(TabletLocatorImpl.java:483)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl.lookupTabletLocationAndCheckLock(TabletLocatorImpl.java:654)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl._locateTablet(TabletLocatorImpl.java:640)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl.locateTablet(TabletLocatorImpl.java:456)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl.lookupTabletLocation(TabletLocatorImpl.java:480)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl.lookupTabletLocationAndCheckLock(TabletLocatorImpl.java:654)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl._locateTablet(TabletLocatorImpl.java:640)//
//    at
org.apache.accumulo.core.client.impl.TabletLocatorImpl.locateTablet(TabletLocatorImpl.java:456)//
//    at
org.apache.accumulo.core.client.impl.ThriftScanner.scan(ThriftScanner.java:247)//
//    at
org.apache.accumulo.core.client.impl.ScannerIterator$Reader.run(ScannerIterator.java:79)//
//    at
org.apache.accumulo.core.client.impl.ScannerIterator.hasNext(ScannerIterator.java:150)//
//    at
scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42)//
//    at scala.collection.Iterator$class.foreach(Iterator.scala:893)//
//    at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)//
//    at
scala.collection.IterableLike$class.foreach(IterableLike.scala:72)//
//    at scala.collection.AbstractIterable.foreach(Iterable.scala:54)//
//    at
scala.collection.TraversableLike$class.map(TraversableLike.scala:234)//
//    at
scala.collection.AbstractTraversable.map(Traversable.scala:104)//
//    at
org.locationtech.geomesa.accumulo.data.MultiRowAccumuloMetadata.getFeatureTypes(GeoMesaMetadata.scala:339)//
//    at
org.locationtech.geomesa.accumulo.data.AccumuloDataStore.getTypeNames(AccumuloDataStore.scala:104)//
//    at
org.locationtech.geomesa.accumulo.data.AccumuloDataStore.getFeatureSource(AccumuloDataStore.scala:346)//
//    at
org.locationtech.geomesa.accumulo.data.AccumuloDataStore.getFeatureSource(AccumuloDataStore.scala:362)//
//    at com.aimaps.geomesa.DataWriter$.main(DataWriter.scala:100)//
//    at com.aimaps.geomesa.DataWriter.main(DataWriter.scala)/

I am new to scala, this is my code:

/package com.aimaps.geomesa//
//
//import org.locationtech.geomesa.accumulo.data.AccumuloDataStore//
//import org.locationtech.geomesa.accumulo.index.Constants//
//import org.locationtech.geomesa.utils.interop.SimpleFeatureTypes//
//import org.locationtech.geomesa.utils.interop.WKTUtils//
//
//import org.opengis.feature.Feature//
//import org.opengis.feature.simple.SimpleFeature//
//import org.opengis.feature.simple.SimpleFeatureType//
//
//import org.geotools.data.DataStore//
//import org.geotools.data.DataStoreFinder//
//import org.geotools.data.FeatureSource//
//import org.geotools.data.FeatureStore//
//import org.geotools.data.Query//
//import org.geotools.data.simple.SimpleFeatureStore//
//import org.geotools.factory.CommonFactoryFinder//
//import org.geotools.factory.Hints//
//import org.geotools.feature.DefaultFeatureCollection//
//import org.geotools.feature.FeatureCollection//
//import org.geotools.feature.FeatureIterator//
//import org.geotools.feature.SchemaException//
//import org.geotools.feature.simple.SimpleFeatureBuilder//
//import org.geotools.data.DataStore//
//import org.geotools.data.DataStoreFinder//
//
//import org.apache.hadoop.conf.Configuration//
//import org.apache.spark.{SparkConf, SparkContext}//
//
//import scala.collection.JavaConversions._//
//import java.util.UUID.randomUUID//
//
//
//object DataWriter {//
////
//  def main(args: Array[String]) {//
////
//    println("Starting up!")//
////
////
//    println("Generating Simple Feature")//
//    // Vygenerovanie sample tuple zaznamu //
//    val data = "" "Sample Sensor", 78,
System.currentTimeMillis(), 48.5, 18.0)//
////
//    // println(f"Generated data: $data")//
////
//    // Creating simple feature type//
//    val simpleFeatureType =
SimpleFeatureTypes.createType("sampleSensor","objectId:String:index=full,note:String,value:Int:index=full,time:Date,geom:Point:srid=4326:index=full")//
////
//    //definicia ktory atribut ma byt pouzity ako time index//
//simpleFeatureType.getUserData().put(Constants.SF_PROPERTY_START_TIME,
"time");//
////
//    // vytvorenie simple feature buildera//
//    val featureBuilder = new SimpleFeatureBuilder(simpleFeatureType)//
////
//    // vytvorenie noveho simple feature//
//    val simpleFeature =
featureBuilder.buildFeature(randomUUID.toString());//
////
//    //naplnenie simple feature datami//
//    simpleFeature.setAttribute("objectId", data._1)//
//    simpleFeature.setAttribute("note", data._2)//
//    simpleFeature.setAttribute("value", data._3)//
//    simpleFeature.setAttribute("time", data._4)//
////
//    // vytvorenie geometrie a priradenie geometrie//
//    val geometry = WKTUtils.read("POINT(" + data._6 + " " + data._5
+ ")")//
//    simpleFeature.setAttribute("geom", geometry)//
////
////
//    println("Generujem Feature Collection")//
//    val featureCollection = new DefaultFeatureCollection()//
//    featureCollection.add(simpleFeature)//
////
//    /**//
//     * ZAPIS SIMPLE FEATURE DO TABULKY//
//     *///
////
//    println("Initializing geomesa connection")//
//    // configuracia pripojenia na geomesa//
//    val dataStoreConfig = Map(//
//      "instanceId" -> "accumulo",//
//      "zookeepers" -> "localhost:2181",//
//      "user"       -> "root",//
//      "password"   -> "pass1234",//
//      "tableName"  -> "test_insert",//
//      "auth"       -> "")//
////
////
//    println("Creating data store")//
//    //  vytvorenie datastore//
//    val dataStore =
DataStoreFinder.getDataStore(dataStoreConfig).asInstanceOf[AccumuloDataStore]//
//    // vytvorenie schemy//
//    // dataStore.createSchema(simpleFeatureType)//
////
//    println("Creating feature store")//
//    val featureStore = dataStore.getFeatureSource("sampleSensor")//
////
//    println("Inserting features")//
//    featureStore.addFeatures(featureCollection)//
////
//    println("DONE.")//
//  }//
////
//}/

Thank you for any sudgestions,

Milan

--

<podpis2.png>
	Ing. Milan Muňko | Co-Founder

	AI-MAPS s. r. o., Tallerova 4, 811 02 Bratislava Slovakia

	Mobile: +421 944 612 592

	Email: milan.munko@xxxxxxxxxxx

	Web: www.ai-maps.com



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