为了更好地进行GeoMesa的测试，这里提供了一个最简化版本的Demo，同样，在之后章节里面可能会出现一些数据写入的例子，同样是以这个Demo为依据的。

在这个Demo当中，只生成了一行数据，其中包括taxiId（String）、时间数据（Date）、空间数据（Point）、description（String），简化的数据可以加快实验速度。SimpleFeatureType的名称为index-text02，vatalog的名称为“test”。

public class IODemo01 {  
  
    /** 
     * 这个方法主要设定了表名"index-text02"， 
     * 和schema结构"taxiId:String,dtg:Date,*geom:Point:srid=4326" 
     * @return SimpleFeatureType，即建表的schema表结构 
     */  
    public SimpleFeatureType getSimpleFeatureType() {  
        SimpleFeatureType sft = SimpleFeatureTypes.createType("index-text02", "taxiId:String,dtg:Date,*geom:Point:srid=4326,description:String");  
        sft.getUserData().put(SimpleFeatureTypes.DEFAULT_DATE_KEY, "dtg");  
        return sft;  
    }  
 
    public static void main(String[] args) {  
  
        Map<String, String> params = new HashMap<>();  
        IODemo01 demo01 = new IODemo01();  
  
        try {  
            //创建datastore  
            params.put("hbase.catalog", "test");  
            params.put("hbase.zookeepers", "xxx.xxx.xxx.xx:2181");  
  
            DataStore datastore = DataStoreFinder.getDataStore(params);  
  
            // 创建schema  
            SimpleFeatureType sft = demo01.getSimpleFeatureType();  
            System.out.println(sft);  
            System.out.println(datastore);  
            datastore.createSchema(sft);  
  
            //获取Features  
            SimpleFeature feature = demo01.getData();  
  
            //写入Features  
            demo01.writeFeature(datastore, sft, feature);  
        } catch (Exception e) {  
            e.printStackTrace();  
        }  
  
    }  
  
    /** 
     * 这个方法主要用来将封装好的feature存入到对应的datastore中 
     * @param datastore 数据源，可以选择的有很多，此处是HBaseDataStore 
     * @param sft 表结构 
     * @param feature 封装好的一行数据 
     */  
    private void writeFeature(DataStore datastore, SimpleFeatureType sft, SimpleFeature feature) {  
        try {  
            System.out.println("write test data");  
            FeatureWriter<SimpleFeatureType, SimpleFeature> writer =  
                    datastore.getFeatureWriterAppend(sft.getTypeName(), Transaction.AUTO_COMMIT);  
            SimpleFeature toWrite = writer.next();  
            toWrite.setAttributes(feature.getAttributes());  
            ((FeatureIdImpl) toWrite.getIdentifier()).setID(feature.getID());  
            toWrite.getUserData().put(Hints.USE_PROVIDED_FID, Boolean.TRUE);  
            toWrite.getUserData().putAll(feature.getUserData());  
            writer.write();  
            // 关闭流  
            writer.close();  
        } catch (IOException e) {  
            e.printStackTrace();  
        }  
 
    }  
  
    /** 
     * 这个方法主要是将非结构化的数据转换为feature对象 
     * @return feature对象 
     */  
    private SimpleFeature getData() {  
        SimpleFeatureBuilder builder = new SimpleFeatureBuilder(getSimpleFeatureType());  
        DateTimeFormatter dateFormat = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss", Locale.US);  
        builder.set("taxiId", "黑A SA2342");  
        builder.set("dtg", Date.from(LocalDateTime.parse("2008-02-02 13:30:49", dateFormat).toInstant(ZoneOffset.UTC)));  
        builder.set("geom", "POINT (116.31412 39.89454)");  
        builder.set("description", "这是一辆套牌的车");  
        builder.featureUserData(Hints.USE_PROVIDED_FID, Boolean.TRUE);  
        return builder.buildFeature("黑A SA2342");  
    }  
}