| 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
 
 
  
    
  
  
    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$Client.sendBaseOneway(Ljava/lang/String;Lorg/apache/thrift/TBase;)Vat
org.apache.accumulo.core.tabletserver.thrift.TabletClientService$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
    
    
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