Java Code Examples for org.influxdb.dto.BatchPoints#point()
The following examples show how to use
org.influxdb.dto.BatchPoints#point() .
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Example 1
| Source File: TicketTest.java From influxdb-java with MIT License | 6 votes |
|
/**
* Test for ticket #39
*
*/
@Test
public void testTicket39() {
String dbName = "ticket39_" + System.currentTimeMillis();
this.influxDB.query(new Query("CREATE DATABASE " + dbName));
BatchPoints batchPoints = BatchPoints
.database(dbName)
.tag("async", "true")
.retentionPolicy(TestUtils.defaultRetentionPolicy(this.influxDB.version()))
.consistency(InfluxDB.ConsistencyLevel.ALL)
.build();
Point.Builder builder = Point.measurement("my_type");
builder.addField("my_field", "string_value");
Point point = builder.build();
batchPoints.point(point);
this.influxDB.write(batchPoints);
this.influxDB.query(new Query("DROP DATABASE " + dbName));
}
Example 2
| Source File: HttpStatServiceImpl.java From EserKnife with Apache License 2.0 | 6 votes |
|
@Override
public void batchInsert(List<NodeHttpStatInfo> nodeHttpStatInfos) {
if(InflusDbUtil.FLAG){
if (CollectionUtils.isNotEmpty(nodeHttpStatInfos)) {
InfluxDB influxDB = InflusDbUtil.getConnection();
BatchPoints batchPoints = BatchPoints.database(InflusDbUtil.DATABASE)
.retentionPolicy("autogen").consistency(InfluxDB.ConsistencyLevel.ALL).build();
long times = System.currentTimeMillis();
for (NodeHttpStatInfo nodeHttpStatInfo : nodeHttpStatInfos) {
Point point = Point.measurement("http").time(times, TimeUnit.MILLISECONDS)
.tag("host", nodeHttpStatInfo.getHost())
.tag("clusterName", nodeHttpStatInfo.getClustName())
.addField("createTime", DateUtil.formatYYYYMMddHHMMSS(nodeHttpStatInfo.getCreateTime()))
.addField("totalOpened", nodeHttpStatInfo.getTotal_opened())
.addField("currentOpen", nodeHttpStatInfo.getCurrent_open())
.build();
batchPoints.point(point);
}
influxDB.write(batchPoints);
}
}else{
httpStatDao.batchInsert(nodeHttpStatInfos);
}
}
Example 3
| Source File: InfluxDBReporterTest.java From statsd-jvm-profiler with MIT License | 6 votes |
|
@Override
protected void testCase(Object[] args) {
assertEquals(1, args.length);
BatchPoints actual = (BatchPoints) args[0];
Point expectedPoint = Point.measurement("fake")
.field(InfluxDBReporter.VALUE_COLUMN, 100L)
.tag(TagUtil.PREFIX_TAG, "influxdb.reporter.test")
.build();
BatchPoints expected = BatchPoints.database("database").build();
expected.point(expectedPoint);
assertEquals(expected.getDatabase(), actual.getDatabase());
assertEquals(expected.getPoints().size(), actual.getPoints().size());
Point actualPoint = actual.getPoints().get(0);
// All the fields on Point are private
assertTrue(actualPoint.lineProtocol().startsWith("fake"));
assertTrue(actualPoint.lineProtocol().contains("value=100"));
assertTrue(actualPoint.lineProtocol().contains("prefix=influxdb.reporter.test"));
}
Example 4
| Source File: InfluxTarget.java From datacollector with Apache License 2.0 | 6 votes |
|
@Override
public void write(Batch batch) throws StageException {
BatchPoints batchPoints = BatchPoints
.database(conf.dbName)
.retentionPolicy(conf.retentionPolicy)
.consistency(conf.consistencyLevel)
.build();
Iterator<Record> recordIterator = batch.getRecords();
while (recordIterator.hasNext()) {
Record record = recordIterator.next();
for (Point point : converter.getPoints(record)) {
batchPoints.point(point);
}
}
client.write(batchPoints);
}
Example 5
| Source File: InfluxDB.java From iotdb-benchmark with Apache License 2.0 | 6 votes |
|
@Override
public Status insertOneBatch(Batch batch) {
BatchPoints batchPoints = BatchPoints.database(influxDbName)
.retentionPolicy(defaultRp)
.consistency(org.influxdb.InfluxDB.ConsistencyLevel.ALL).build();
try {
InfluxDataModel model;
for (Record record : batch.getRecords()) {
model = createDataModel(batch.getDeviceSchema(), record.getTimestamp(),
record.getRecordDataValue());
batchPoints.point(model.toInfluxPoint());
}
influxDbInstance.write(batchPoints);
return new Status(true);
} catch (Exception e) {
LOGGER.warn(e.getMessage());
return new Status(false, 0, e, e.toString());
}
}
Example 6
| Source File: StatsCollector.java From cloudstack with Apache License 2.0 | 5 votes |
|
/**
* Writes batches of InfluxDB database points into a given database.
*/
protected void writeBatches(InfluxDB influxDbConnection, String dbName, List<Point> points) {
BatchPoints batchPoints = BatchPoints.database(dbName).build();
influxDbConnection.enableBatch(BatchOptions.DEFAULTS);
for (Point point : points) {
batchPoints.point(point);
}
influxDbConnection.write(batchPoints);
}
Example 7
| Source File: PerformanceTests.java From influxdb-java with MIT License | 5 votes |
|
@Disabled
@Test
public void testWritePerformance() {
String dbName = "writepoints_" + System.currentTimeMillis();
this.influxDB.query(new Query("CREATE DATABASE " + dbName));
String rp = TestUtils.defaultRetentionPolicy(this.influxDB.version());
long start = System.currentTimeMillis();
for (int i = 0; i < COUNT; i++) {
BatchPoints batchPoints = BatchPoints
.database(dbName)
.tag("blubber", "bla")
.retentionPolicy(rp)
.build();
for (int j = 0; j < POINT_COUNT; j++) {
Point point = Point
.measurement("cpu")
.addField("idle", (double) j)
.addField("user", 2.0 * j)
.addField("system", 3.0 * j)
.build();
batchPoints.point(point);
}
this.influxDB.write(batchPoints);
}
System.out.println("WritePoints for " + COUNT + " writes of " + POINT_COUNT + " Points took:" + (System.currentTimeMillis() - start));
this.influxDB.query(new Query("DROP DATABASE " + dbName));
}
Example 8
| Source File: BatchOptionsTest.java From influxdb-java with MIT License | 5 votes |
|
private BatchPoints createBatchPoints(String dbName, String measurement, int n) {
BatchPoints batchPoints = BatchPoints.database(dbName).build();
for (int i = 1; i <= n; i++) {
Point point = Point.measurement(measurement)
.time(i,TimeUnit.MILLISECONDS)
.addField("f1", (double) i)
.addField("f2", (double) (i) * 1.1)
.addField("f3", "f_v3").build();
batchPoints.point(point);
}
return batchPoints;
}
Example 9
| Source File: InfluxDBImpl.java From influxdb-java with MIT License | 5 votes |
|
@Override
public void write(final String database, final String retentionPolicy, final Point point) {
if (this.batchEnabled.get()) {
HttpBatchEntry batchEntry = new HttpBatchEntry(point, database, retentionPolicy);
this.batchProcessor.put(batchEntry);
} else {
BatchPoints batchPoints = BatchPoints.database(database)
.retentionPolicy(retentionPolicy).build();
batchPoints.point(point);
this.write(batchPoints);
this.unBatchedCount.increment();
}
this.writeCount.increment();
}
Example 10
| Source File: InfluxDBReporter.java From statsd-jvm-profiler with MIT License | 5 votes |
|
/**
* Record multiple gauge values in InfluxDB
*
* @param gauges A map of gauge names to values
*/
@Override
public void recordGaugeValues(Map<String, ? extends Number> gauges) {
long time = System.currentTimeMillis();
BatchPoints batchPoints = BatchPoints.database(database).build();
for (Map.Entry<String, ? extends Number> gauge: gauges.entrySet()) {
batchPoints.point(constructPoint(time, gauge.getKey(), gauge.getValue()));
}
client.write(batchPoints);
}
Example 11
| Source File: OffsetsInfluxDBDaoImpl.java From Kafka-Insight with Apache License 2.0 | 5 votes |
|
@Override
public void insert() {
InfluxDB influxDB = null;
try {
influxDB = InfluxDBFactory.connect(influxDBUrl);
if (!influxDB.databaseExists(dbName)) {
influxDB.createDatabase(dbName);
}
for (OffsetInfo offsetInfo : offsetInfoList) {
String group = offsetInfo.getGroup();
String topic = offsetInfo.getTopic();
Long logSize = offsetInfo.getLogSize();
Long offsets = offsetInfo.getCommittedOffset();
Long lag = offsetInfo.getLag();
Long timestamp = offsetInfo.getTimestamp();
BatchPoints batchPoints = BatchPoints
.database(dbName)
.tag("group", group)
.tag("topic", topic)
.build();
Point point = Point.measurement("offsetsConsumer")
.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
// .time(timestamp, TimeUnit.MILLISECONDS)
.addField("logSize", logSize)
.addField("offsets", offsets)
.addField("lag", lag)
.build();
batchPoints.point(point);
influxDB.write(batchPoints);
}
} catch (Exception e) {
e.printStackTrace();
} finally {
if (influxDB != null) {
influxDB.close();
}
}
}
Example 12
| Source File: CommonServiceImpl.java From EserKnife with Apache License 2.0 | 5 votes |
|
@Override
public void batchInsert(List<NodeCommonStatInfo> nodeCommonStatInfos) {
if(InflusDbUtil.FLAG){
if (CollectionUtils.isNotEmpty(nodeCommonStatInfos)) {
InfluxDB influxDB = InflusDbUtil.getConnection();
BatchPoints batchPoints = BatchPoints.database(InflusDbUtil.DATABASE)
.retentionPolicy("autogen").consistency(InfluxDB.ConsistencyLevel.ALL).build();
long times = System.currentTimeMillis();
for (NodeCommonStatInfo nodeCommonStatInfo : nodeCommonStatInfos) {
Point point = Point.measurement("common").time(times, TimeUnit.MILLISECONDS)
.tag("clusterName", nodeCommonStatInfo.getClusterName())
.addField("createTime", DateUtil.formatYYYYMMddHHMMSS(nodeCommonStatInfo.getCreateTime()))
.addField("nodeCount", nodeCommonStatInfo.getNodeCount())
.addField("dataNodeCount",nodeCommonStatInfo.getDataNodeCount())
.addField("docCount", nodeCommonStatInfo.getDocCounts())
.addField("storeSize", nodeCommonStatInfo.getStoreSize())
.addField("indiceCount", nodeCommonStatInfo.getIndicesCount())
.addField("shardCount", nodeCommonStatInfo.getShardCounts())
.addField("clusterStatus", nodeCommonStatInfo.getClusterStatus())
.build();
batchPoints.point(point);
}
influxDB.write(batchPoints);
}
}else{
commonDAO.batchInsert(nodeCommonStatInfos);
}
}
Example 13
| Source File: TransportStatServiceImpl.java From EserKnife with Apache License 2.0 | 5 votes |
|
@Override
public void batchInsert(List<NodeTransportStatInfo> transportStatInfos) {
if(InflusDbUtil.FLAG){
if (CollectionUtils.isNotEmpty(transportStatInfos)) {
InfluxDB influxDB = InflusDbUtil.getConnection();
BatchPoints batchPoints = BatchPoints.database(InflusDbUtil.DATABASE)
.retentionPolicy("autogen").consistency(InfluxDB.ConsistencyLevel.ALL).build();
long times = System.currentTimeMillis();
for (NodeTransportStatInfo transportStatInfo : transportStatInfos) {
Point point = Point.measurement("transport").time(times, TimeUnit.MILLISECONDS)
.tag("host", transportStatInfo.getHost())
.tag("clusterName", transportStatInfo.getClustName())
.addField("createTime", DateUtil.formatYYYYMMddHHMMSS(transportStatInfo.getCreateTime()))
.addField("rxCount",transportStatInfo.getRx_count())
.addField("rxSize",transportStatInfo.getRx_size() == null?"":transportStatInfo.getRx_size())
.addField("rxSizeInBytes",transportStatInfo.getRx_size_in_bytes())
.addField("txCount",transportStatInfo.getTx_count())
.addField("txSize",transportStatInfo.getTx_size() == null ?"":transportStatInfo.getTx_size())
.addField("txSizeInBytes",transportStatInfo.getTx_size_in_bytes())
.addField("serverOpen",transportStatInfo.getServer_open())
.build();
batchPoints.point(point);
}
influxDB.write(batchPoints);
}
}else{
transportStatDao.batchInsert(transportStatInfos);
}
}
Example 14
| Source File: ThreadPoolServiceImpl.java From EserKnife with Apache License 2.0 | 5 votes |
|
@Override
public void batchInsert(List<NodeThreadPoolStatInfo> nodeThreadPoolStatInfos) {
if(InflusDbUtil.FLAG){
if (CollectionUtils.isNotEmpty(nodeThreadPoolStatInfos)) {
InfluxDB influxDB = InflusDbUtil.getConnection();
BatchPoints batchPoints = BatchPoints.database(InflusDbUtil.DATABASE)
.retentionPolicy("autogen").consistency(InfluxDB.ConsistencyLevel.ALL).build();
long times = System.currentTimeMillis();
for (NodeThreadPoolStatInfo threadPoolStatInfo : nodeThreadPoolStatInfos) {
Point point = Point.measurement("thread_pool").time(times, TimeUnit.MILLISECONDS)
.tag("threadType",threadPoolStatInfo.getThreadType())
.tag("host", threadPoolStatInfo.getHost())
.tag("clusterName", threadPoolStatInfo.getClusterName())
.addField("createTime", DateUtil.formatYYYYMMddHHMMSS(threadPoolStatInfo.getCreateTime()))
.addField("largest",threadPoolStatInfo.getLargest())
.addField("completed",threadPoolStatInfo.getCompleted())
.addField("active",threadPoolStatInfo.getActive())
.addField("rejected",threadPoolStatInfo.getRejected())
.addField("threads",threadPoolStatInfo.getThreads())
.addField("queue",threadPoolStatInfo.getQueue())
.addField("intervalCompleted",threadPoolStatInfo.getIntervalCompleted())
.addField("intervalRejected",threadPoolStatInfo.getIntervalRejected())
.build();
batchPoints.point(point);
}
influxDB.write(batchPoints);
}
}else{
threadPoolDao.batchInsert(nodeThreadPoolStatInfos);
}
}
Example 15
| Source File: OsStatServiceImpl.java From EserKnife with Apache License 2.0 | 5 votes |
|
@Override
public void batchInsert(List<NodeOSStatInfo> statInfos) {
if(InflusDbUtil.FLAG){
if(CollectionUtils.isNotEmpty(statInfos)){
InfluxDB influxDB = InflusDbUtil.getConnection();
BatchPoints batchPoints = BatchPoints
.database(InflusDbUtil.DATABASE)
.retentionPolicy("autogen")
.consistency(InfluxDB.ConsistencyLevel.ALL)
.build();
long times = System.currentTimeMillis();
for (NodeOSStatInfo nodeOSStatInfo : statInfos){
Point point = Point.measurement("os")
.time(times, TimeUnit.MILLISECONDS)
.tag("host",nodeOSStatInfo.getHost())
.tag("clusterName",nodeOSStatInfo.getClusterName())
.addField("cpuPercent",nodeOSStatInfo.getCpuPercent())
.addField("loadAverage",nodeOSStatInfo.getLoadAverage())
.addField("memTotal",nodeOSStatInfo.getMemTotal())
.addField("memUsed",nodeOSStatInfo.getMemUsed())
.addField("memFree",nodeOSStatInfo.getMemFree())
.addField("memFreePercent",nodeOSStatInfo.getMemFreePercent())
.addField("memUsedPercent",nodeOSStatInfo.getMemUsedPercent())
.addField("swapTotal",nodeOSStatInfo.getSwapTotal())
.addField("swapUsed",nodeOSStatInfo.getSwapUsed())
.addField("swapFree",nodeOSStatInfo.getSwapFree())
.addField("createTime", DateUtil.formatYYYYMMddHHMMSS(nodeOSStatInfo.getCreateTime()))
.build();
batchPoints.point(point);
}
influxDB.write(batchPoints);
}
}else{
osStatDao.batchInsert(statInfos);
}
}
Example 16
| Source File: MBeansInfluxDBDaoImpl.java From Kafka-Insight with Apache License 2.0 | 4 votes |
|
@Override
public void insert() {
InfluxDB influxDB = null;
try {
influxDB = InfluxDBFactory.connect(influxDBUrl);
if (!influxDB.databaseExists(dbName)) {
influxDB.createDatabase(dbName);
}
for (MBeanInfo mBeanInfo : mBeanInfoList) {
String label = mBeanInfo.getLabel();
String topic = mBeanInfo.getTopic();
double oneMinute = mBeanInfo.getOneMinute();
double fiveMinute = mBeanInfo.getFiveMinute();
double fifteenMinute = mBeanInfo.getFifteenMinute();
double meanRate = mBeanInfo.getMeanRate();
BatchPoints batchPoints = BatchPoints
.database(dbName)
.tag("label", label)
.tag("topic", topic)
.build();
Point point = Point.measurement("mBeanMetric")
.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
// .time(timestamp, TimeUnit.MILLISECONDS)
.addField("oneMinuteRate", oneMinute)
.addField("fiveMinuteRate", fiveMinute)
.addField("fifteenMinuteRate", fifteenMinute)
.addField("meanRate", meanRate)
.build();
batchPoints.point(point);
influxDB.write(batchPoints);
}
} catch (Exception e) {
e.printStackTrace();
} finally {
if (influxDB != null) {
influxDB.close();
}
}
}
Example 17
| Source File: TestInfluxDB.java From incubator-gobblin with Apache License 2.0 | 4 votes |
|
@Override
public void write(String database, String retentionPolicy, Point point) {
BatchPoints batchPoints = BatchPoints.database(database).retentionPolicy(retentionPolicy).build();
batchPoints.point(point);
this.write(batchPoints);
}
Example 18
| Source File: JvmServiceImpl.java From EserKnife with Apache License 2.0 | 4 votes |
|
@Override
public void batchInsert(List<NodeJVMStatInfo> statInfos) {
if(InflusDbUtil.FLAG){
if(CollectionUtils.isNotEmpty(statInfos)){
InfluxDB influxDB = InflusDbUtil.getConnection();
BatchPoints batchPoints = BatchPoints
.database(InflusDbUtil.DATABASE)
.retentionPolicy("autogen")
.consistency(InfluxDB.ConsistencyLevel.ALL)
.build();
long times = System.currentTimeMillis();
for (NodeJVMStatInfo nodeJVMStatInfo : statInfos){
Point point = Point.measurement("jvm")
.time(times, TimeUnit.MILLISECONDS)
.tag("host",nodeJVMStatInfo.getHost())
.tag("clusterName",nodeJVMStatInfo.getClusterName())
.addField("threadsCount",nodeJVMStatInfo.getThreadsCount())
.addField("threadsPeakCount",nodeJVMStatInfo.getThreadsPeakCount())
.addField("heapUsedInBytes",nodeJVMStatInfo.getHeapUsedInBytes())
.addField("heapUsedPercent",nodeJVMStatInfo.getHeapUsedPercent())
.addField("heapCommittedInBytes",nodeJVMStatInfo.getHeapCommittedInBytes())
.addField("heapMaxInBytes",nodeJVMStatInfo.getHeapMaxInBytes())
.addField("nonHeapUsedInBytes",nodeJVMStatInfo.getNonHeapUsedInBytes())
.addField("nonHeapCommittedInBytes",nodeJVMStatInfo.getNonHeapCommittedInBytes())
.addField("oldMemUsed", nodeJVMStatInfo.getOldMemUsed())
.addField("oldMemMax", nodeJVMStatInfo.getOldMemMax())
.addField("youngMemMax", nodeJVMStatInfo.getYoungMemMax())
.addField("youngMemUsed",nodeJVMStatInfo.getYoungMemUsed())
.addField("oldCollectionCount",nodeJVMStatInfo.getOldCollectionCount())
.addField("oldCollectionTime",nodeJVMStatInfo.getOldCollectionTime())
.addField("youngCollectionCount",nodeJVMStatInfo.getYoungCollectionCount())
.addField("youngCollectionTime",nodeJVMStatInfo.getYongCollectionTime())
.addField("intervalOldCollectionCount",nodeJVMStatInfo.getIntervalOldCollectionCount())
.addField("intervalOldCollectionTime",nodeJVMStatInfo.getIntervalOldCollectionTime())
.addField("bufferPoolsDirectTotalCapacity",nodeJVMStatInfo.getBufferPoolsDirectTotalCapacity())
.addField("bufferPoolsDirectCount",nodeJVMStatInfo.getBufferPoolsDirectCount())
.addField("bufferPoolsDirectUsed",nodeJVMStatInfo.getBufferPoolsDirectUsed())
.addField("bufferPoolsMappedTotalCapacity",nodeJVMStatInfo.getBufferPoolsMappedTotalCapacity())
.addField("bufferPoolsMappedCount",nodeJVMStatInfo.getBufferPoolsMappedCount())
.addField("bufferPoolsMappedUserd",nodeJVMStatInfo.getBufferPoolsMappedUserd())
.addField("collectTime", DateUtil.formatYYYYMMddHHMMSS(nodeJVMStatInfo.getCollectTime()))
.addField("executeTime",DateUtil.formatYYYYMMddHHMMSS(nodeJVMStatInfo.getExecuteTime()))
.build();
batchPoints.point(point);
}
influxDB.write(batchPoints);
}
}else{
jvmDao.batchInsert(statInfos);
}
}
Example 19
| Source File: IndiceServiceImpl.java From EserKnife with Apache License 2.0 | 4 votes |
|
@Override
public void batchInsert(List<NodeIndiceStatInfo> statInfos) {
if(InflusDbUtil.FLAG){
if(CollectionUtils.isNotEmpty(statInfos)){
InfluxDB influxDB = InflusDbUtil.getConnection();
BatchPoints batchPoints = BatchPoints
.database(InflusDbUtil.DATABASE)
.retentionPolicy("autogen")
.consistency(InfluxDB.ConsistencyLevel.ALL)
.build();
long times = System.currentTimeMillis();
for (NodeIndiceStatInfo nodeIndiceStatInfo : statInfos){
Point point = Point.measurement("indices")
.time(times, TimeUnit.MILLISECONDS)
.tag("host",nodeIndiceStatInfo.getHost())
.tag("clusterName",nodeIndiceStatInfo.getClusterName())
.addField("fielddataEvictions",nodeIndiceStatInfo.getFielddataEvictions())
.addField("fielddataMemorySizeInBytes",nodeIndiceStatInfo.getFielddataMemorySizeInBytes())
.addField("searchFetchTimeInMillis",nodeIndiceStatInfo.getSearchFetchTimeInMillis())
.addField("searchFetchTotal",nodeIndiceStatInfo.getSearchFetchTotal())
.addField("searchQueryTimeInMillis",nodeIndiceStatInfo.getSearchQueryTimeInMillis())
.addField("searchQueryTotal",nodeIndiceStatInfo.getSearchQueryTotal())
.addField("getMissingTimeInMillis",nodeIndiceStatInfo.getGetMissingTimeInMillis())
.addField("getMissingTotal",nodeIndiceStatInfo.getGetMissingTotal())
.addField("getExistsTimeInMillis", nodeIndiceStatInfo.getGetExistsTimeInMillis())
.addField("getExistsTotal", nodeIndiceStatInfo.getGetMissingTotal())
.addField("getTimeInMillis", nodeIndiceStatInfo.getGetTimeInMillis())
.addField("getTotal",nodeIndiceStatInfo.getGetTotal())
.addField("indexingDeleteTimeInMillis",nodeIndiceStatInfo.getIndexingDeleteTimeInMillis())
.addField("indexingDeleteTotal",nodeIndiceStatInfo.getIndexingDeleteTotal())
.addField("indexingIndexTimeInMillis",nodeIndiceStatInfo.getIndexingIndexTimeInMillis())
.addField("indexingIndexTotal",nodeIndiceStatInfo.getIndexingIndexTotal())
.addField("segmentsCount",nodeIndiceStatInfo.getSegmentsCount())
.addField("storeSizeInBytes",nodeIndiceStatInfo.getStoreSizeInBytes())
.addField("docsCount",nodeIndiceStatInfo.getDocsCount())
.addField("createTime", DateUtil.formatYYYYMMddHHMMSS(nodeIndiceStatInfo.getCreateTime()))
.build();
batchPoints.point(point);
}
influxDB.write(batchPoints);
}
}else{
indiceDao.batchInsert(statInfos);
}
}
