标签:fan sspi mapr redo idf print gets exe bytes
在大量数据需要写入HBase时,通常有put方式和bulkLoad两种方式。
put不做解释。
BulkLoader方式的优势在于:
1、不会触发WAL预写日志,当表还没有数据时进行数据导入不会产生Flush和Split。
2、减少接口调用的消耗,是一种快速写入的优化方式。
但如果使用Spark操作HBase BulkLoader时,需要对数据的Qualifier按字典序排序,再按照RowKey按字典序排序。否则会出现
java.io.IOException: Added a key not lexically larger than previous. Current cell = ${row}/${family}:${qualifier}/${timestamp}/Put/vlen=16/seqid=0, lastCell = ${row}/${family}:${qualifier}/${timestamp}/Put/vlen=1/seqid=0
其报错的本质原因在于:Spark 默认为Hash Based,是基于HashMap来对Shuffle操作的数据进行聚合处理,不会对数据进行预排序。在MapReduce中则不会出现该问题的原因是Mapper在Shuffle阶段中是先排序才会进入combile,最后到Reducer的数据已经是排序后的。
具体的实现代码如下:
package com.mengyao.tag.job.haier; import java.util.ArrayList; import java.util.List; import java.util.TreeMap; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.KeyValue; import org.apache.hadoop.hbase.TableName; import org.apache.hadoop.hbase.client.Connection; import org.apache.hadoop.hbase.client.ConnectionFactory; import org.apache.hadoop.hbase.io.ImmutableBytesWritable; import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2; import org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles; import org.apache.hadoop.hbase.mapreduce.TableOutputFormat; import org.apache.hadoop.hbase.util.Bytes; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.input.TextInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaSparkContext; import org.apache.spark.storage.StorageLevel; import scala.Tuple2; /** * Spark HBase BulkLoad * spark-submit --class com.mengyao.tag.job.haier.HaierDataImport --master yarn --deploy-mode cluster --driver-memory 512m --executor-cores 1 --executor-memory 512m --queue default --verbose tags.jar * @author mengyao * */ public class HaierDataImport { private final static String appName = HaierDataImport.class.getSimpleName(); private final static String HBASE_ZK_PORT_KEY = "hbase.zookeeper.property.clientPort"; private final static String HBASE_ZK_QUORUM_KEY = "hbase.zookeeper.quorum"; private final static String HBASE_ZK_PARENT_KEY = "zookeeper.znode.parent"; private final static String DEFAULT_FS = "fs.defaultFS"; private final static String DFS_REPLICATION = "dfs.replication"; public static void main(String[] args) throws Exception { //args = new String[] {"1", "tbl_tag_user", "haier", "/apps/test/haier/user/tbl_user.csv", "/apps/test/haier/user/hfileout"}; //args = new String[] {"2", "tbl_tag_product", "haier", "/apps/test/haier/product/tag_product.csv", "/apps/test/haier/product/hfileout"}; //args = new String[] {"3", "tbl_tag_product_type", "haier", "/apps/test/haier/product_type/tag_product_type.csv", "/apps/test/haier/product_type/hfileout"}; //args = new String[] {"4", "tbl_tag_order", "haier", "/apps/test/haier/order/tag_order.csv", "/apps/test/haier/order/hfileout"}; //args = new String[] {"5", "tbl_tag_logs", "haier", "/apps/test/haier/log/tag_logs.csv", "/apps/test/haier/log/hfileout"}; if (args.length < 5) { System.out.println("Usage: required params: <DataType> <HBaseTable> <Family> <InputDir> <OutputDir>"); System.exit(-1); } //1User、2Product、3ProductType、4Order、5Log String dataType = args[0]; //HBase Table String tableName = args[1]; //HBase Table Family String family = args[2]; //HBase Table Input RawData String inputDir = args[3]; //HBase Table Input HFileData String outputDir = args[4]; long start = System.currentTimeMillis(); Configuration hadoopConf = HBaseConfiguration.create(); hadoopConf.set(DEFAULT_FS, "hdfs://192.168.10.20:8020"); hadoopConf.set(DFS_REPLICATION, "1"); hadoopConf.set(HBASE_ZK_PORT_KEY, "2181"); hadoopConf.set(HBASE_ZK_QUORUM_KEY, "192.168.10.20"); hadoopConf.set(HBASE_ZK_PARENT_KEY, "/hbase-unsecure"); hadoopConf.set(TableOutputFormat.OUTPUT_TABLE, tableName); Job job = Job.getInstance(hadoopConf, appName); job.setInputFormatClass(TextInputFormat.class); job.setMapOutputKeyClass(ImmutableBytesWritable.class); job.setMapOutputValueClass(KeyValue.class); job.setOutputFormatClass(HFileOutputFormat2.class); FileInputFormat.addInputPaths(job, inputDir); FileSystem fs = FileSystem.get(hadoopConf); Path output = new Path(outputDir); if (fs.exists(output)) { fs.delete(output, true); } fs.close(); FileOutputFormat.setOutputPath(job, output); Connection connection = ConnectionFactory.createConnection(hadoopConf); TableName table = TableName.valueOf(tableName); HFileOutputFormat2.configureIncrementalLoad(job, connection.getTable(table), connection.getRegionLocator(table)); SparkConf sparkConf = new SparkConf() .set("spark.serializer", "org.apache.spark.serializer.KryoSerializer") .setMaster("local[*]") .setAppName(appName); JavaSparkContext jsc = new JavaSparkContext(sparkConf); jsc.textFile(inputDir) .persist(StorageLevel.MEMORY_AND_DISK_SER()) .flatMapToPair(line -> extractText(Integer.valueOf(dataType), line, family).iterator()) .coalesce(1) .sortByKey()//对key(ImmutableBytesWritable)做字典序排序 .saveAsNewAPIHadoopFile(outputDir, ImmutableBytesWritable.class, KeyValue.class, HFileOutputFormat2.class, job.getConfiguration()); LoadIncrementalHFiles load = new LoadIncrementalHFiles(hadoopConf); load.doBulkLoad(output, connection.getAdmin(), connection.getTable(table), connection.getRegionLocator(table)); jsc.close(); long end = System.currentTimeMillis(); System.out.println("耗时:"+(end-start)/1000+" 秒"); } /** * * @param type 1User、2Product、3ProductType、4Order、5Log * @param line * @param family * @return */ static List<Tuple2<ImmutableBytesWritable, KeyValue>> extractText(int type, String line, String family) { if (type==1) {//User return getLineToUser(line, family); } if (type==2) {//Product return getLineToProduct(line, family); } if (type==3) {//ProductType return getLineToProductType(line, family); } if (type==4) {//Order return getLineToOrder(line, family); } if (type==5) {//Log return getLineToLog(line, family); } return new ArrayList<Tuple2<ImmutableBytesWritable, KeyValue>>(); } /** * 提取订单数据 * @param line * @param family * @return */ private static List<Tuple2<ImmutableBytesWritable, KeyValue>> getLineToLog(String line, String family) { //使用TreeMap为qualifier做字典序排序 TreeMap<String, Integer> fieldNames = new TreeMap<String, Integer>() {{ put("id", 0); put("log_id", 1); put("remote_ip", 2); put("site_global_ticket", 3); put("site_global_session", 4); put("global_user_id", 5); put("cookie_text", 6); put("user_agent", 7); put("ref_url", 8); put("loc_url", 9); put("log_time", 10); }}; List<Tuple2<ImmutableBytesWritable, KeyValue>> arr = new ArrayList<Tuple2<ImmutableBytesWritable, KeyValue>>(); String[] fieldValues = line.split("\t", 11); //System.out.println("内容:"+line+"\n字段数:"+fieldValues.length); if(fieldValues != null && fieldValues.length == 11){ String id = fieldValues[0]; byte[] rowkey = Bytes.toBytes(id); byte[] columnFamily = Bytes.toBytes(family); ImmutableBytesWritable ibw = new ImmutableBytesWritable(rowkey); fieldNames.forEach((k,v)->{ arr.add(new Tuple2<>(ibw, new KeyValue(rowkey, columnFamily, Bytes.toBytes(k), Bytes.toBytes(fieldValues[v])))); }); } return arr; } /** * 提取订单数据 * @param line * @param family * @return */ private static List<Tuple2<ImmutableBytesWritable, KeyValue>> getLineToOrder(String line, String family) { //使用TreeMap为qualifier做字典序排序 TreeMap<String, Integer> fieldNames = new TreeMap<String, Integer>() {{ put("id", 0); put("siteId", 1); put("isTest", 2); put("hasSync", 3); put("isBackend", 4); put("isCod", 5); put("notAutoConfirm", 6); put("orderSn", 7); put("relationOrderSn", 8); put("memberId", 9); put("productId", 10); put("memberEmail", 11); put("addTime", 12); put("syncTime", 13); put("orderStatus", 14); put("payTime", 15); put("paymentStatus", 16); put("receiptConsignee", 17); put("receiptAddress", 18); put("receiptZipcode", 19); put("receiptMobile", 20); put("productAmount", 21); put("orderAmount", 22); put("paidBalance", 23); put("giftCardAmount", 24); put("paidAmount", 25); put("shippingAmount", 26); put("totalEsAmount", 27); put("usedCustomerBalanceAmount", 28); put("customerId", 29); put("bestShippingTime", 30); put("paymentCode", 31); put("payBankCode", 32); put("paymentName", 33); put("consignee", 34); put("originRegionName", 35); put("originAddress", 36); put("province", 37); put("city", 38); put("region", 39); put("street", 40); put("markBuilding", 41); put("poiId", 42); put("poiName", 43); put("regionName", 44); put("address", 45); put("zipcode", 46); put("mobile", 47); put("phone", 48); put("receiptInfo", 49); put("delayShipTime", 50); put("remark", 51); put("bankCode", 52); put("agent", 53); put("confirmTime", 54); put("firstConfirmTime", 55); put("firstConfirmPerson", 56); put("finishTime", 57); put("tradeSn", 58); put("signCode", 59); put("source", 60); put("sourceOrderSn", 61); put("onedayLimit", 62); put("logisticsManner", 63); put("afterSaleManner", 64); put("personManner", 65); put("visitRemark", 66); put("visitTime", 67); put("visitPerson", 68); put("sellPeople", 69); put("sellPeopleManner", 70); put("orderType", 71); put("hasReadTaobaoOrderComment", 72); put("memberInvoiceId", 73); put("taobaoGroupId", 74); put("tradeType", 75); put("stepTradeStatus", 76); put("stepPaidFee", 77); put("depositAmount", 78); put("balanceAmount", 79); put("autoCancelDays", 80); put("isNoLimitStockOrder", 81); put("ccbOrderReceivedLogId", 82); put("ip", 83); put("isGiftCardOrder", 84); put("giftCardDownloadPassword", 85); put("giftCardFindMobile", 86); put("autoConfirmNum", 87); put("codConfirmPerson", 88); put("codConfirmTime", 89); put("codConfirmRemark", 90); put("codConfirmState", 91); put("paymentNoticeUrl", 92); put("addressLon", 93); put("addressLat", 94); put("smConfirmStatus", 95); put("smConfirmTime", 96); put("smManualTime", 97); put("smManualRemark", 98); put("isTogether", 99); put("isNotConfirm", 100); put("tailPayTime", 101); put("points", 102); put("modified", 103); put("channelId", 104); put("isProduceDaily", 105); put("couponCode", 106); put("couponCodeValue", 107); put("ckCode", 108); }}; List<Tuple2<ImmutableBytesWritable, KeyValue>> arr = new ArrayList<Tuple2<ImmutableBytesWritable, KeyValue>>(); String[] fieldValues = line.split("\t", 109); System.out.println("内容:"+line+"\n字段数:"+fieldValues.length); if(fieldValues != null && fieldValues.length == 109){ String id = fieldValues[0]; byte[] rowkey = Bytes.toBytes(id); byte[] columnFamily = Bytes.toBytes(family); ImmutableBytesWritable ibw = new ImmutableBytesWritable(rowkey); fieldNames.forEach((k,v)->{ arr.add(new Tuple2<>(ibw, new KeyValue(rowkey, columnFamily, Bytes.toBytes(k), Bytes.toBytes(fieldValues[v])))); }); } return arr; } /** * 提取商品品类数据 * @param line * @param family * @return */ private static List<Tuple2<ImmutableBytesWritable, KeyValue>> getLineToProductType(String line, String family) { //使用TreeMap为qualifier做字典序排序 TreeMap<String, Integer> fieldNames = new TreeMap<String, Integer>() {{ put("id", 0); put("name", 1); put("level", 2); put("pid", 3); put("ctime", 4); put("utime", 5); put("remark", 6); }}; List<Tuple2<ImmutableBytesWritable, KeyValue>> arr = new ArrayList<Tuple2<ImmutableBytesWritable, KeyValue>>(); String[] fieldValues = line.split("\t", 7); //System.out.println("内容:"+line+"\n字段数:"+fieldValues.length); if(fieldValues != null && fieldValues.length == 7){ String id = fieldValues[0]; byte[] rowkey = Bytes.toBytes(id); byte[] columnFamily = Bytes.toBytes(family); ImmutableBytesWritable ibw = new ImmutableBytesWritable(rowkey); fieldNames.forEach((k,v)->{ arr.add(new Tuple2<>(ibw, new KeyValue(rowkey, columnFamily, Bytes.toBytes(k), Bytes.toBytes(fieldValues[v])))); }); } return arr; } /** * 提取用户数据 * @param line * @param family * @return */ static List<Tuple2<ImmutableBytesWritable, KeyValue>> getLineToUser(String line, String family) { //使用TreeMap为qualifier做字典序排序 TreeMap<String, Integer> fieldNames = new TreeMap<String, Integer>() { { put("id", 0); put("site_id", 1); put("email", 2); put("username", 3); put("password", 4); put("salt", 5); put("reg_time", 6); put("last_login_time", 7); put("last_login_ip", 8); put("member_rank_id", 9); put("big_customer_id", 10); put("last_putress_id", 11); put("last_payment_code", 12); put("gender", 13); put("birthday", 14); put("qq", 15); put("msn", 16); put("mobile", 17); put("can_receive_sms", 18); put("phone", 19); put("valid_code", 20); put("pwd_err_count", 21); put("source", 22); put("sign", 23); put("money", 24); put("money_pwd", 25); put("is_email_verify", 26); put("is_sms_verify", 27); put("sms_verify_code", 28); put("email_verify_code", 29); put("verify_send_coupon", 30); put("can_receive_email", 31); put("modified", 32); put("channel_id", 33); put("grade_id", 34); put("nick_name", 35); put("is_black_list", 36); } }; List<Tuple2<ImmutableBytesWritable, KeyValue>> arr = new ArrayList<Tuple2<ImmutableBytesWritable, KeyValue>>(); String[] fieldValues = line.split("\t", 37); //System.out.println("内容:"+line+"\n字段数:"+fieldValues.length); if(fieldValues != null && fieldValues.length == 37){ String id = fieldValues[0]; byte[] rowkey = Bytes.toBytes(id); byte[] columnFamily = Bytes.toBytes(family); ImmutableBytesWritable ibw = new ImmutableBytesWritable(rowkey); fieldNames.forEach((k,v)->{ arr.add(new Tuple2<>(ibw, new KeyValue(rowkey, columnFamily, Bytes.toBytes(k), Bytes.toBytes(fieldValues[v])))); }); } return arr; } /** * 提取商品数据 * @param line * @param family * @return */ static List<Tuple2<ImmutableBytesWritable, KeyValue>> getLineToProduct(String line, String family) { //使用TreeMap为qualifier做字典序排序 TreeMap<String, Integer> fieldNames = new TreeMap<String, Integer>() {{ put("id", 0); put("name", 1); put("title", 2); put("pmode", 3); put("price", 4); put("discount_price", 5); put("retail_mode", 6); put("state", 7); put("ctime", 8); put("utime", 9); put("p_LeiBie", 10); put("p_JingZhong_MaoZhong", 11); put("p_YanShiYuYue", 12); put("p_WaiGuan", 13); put("p_WaiJiChiCun", 14); put("p_KuanShi", 15); put("p_EDingReFuHe", 16); put("p_ShuMaXianShi", 17); put("p_LianJieFangShi", 18); put("p_KuanGaoHouHanDiZuo", 19); put("p_XuNiQiangShuRuDianYa_DianLiu", 20); put("p_QiYuanLeiBie", 21); put("p_ZaoShengDb", 22); put("p_ShiYongHuanJingLeiXing", 23); put("p_FaPaoJi", 24); put("p_JieShuiJiShu", 25); put("p_EDianJiYi", 26); put("p_4In1KaTongXiangChiCun", 27); put("p_XianShiFangShi", 28); put("p_ZhuangPeiRuanGuanNeiJing", 29); put("p_ShiYang", 30); put("p_ShangShiShiJian", 31); put("p_ZaoYinDb", 32); put("p_MianBanCaiZhi", 33); put("p_CaiZhi", 34); put("p_ZiDongYinLiangKongZhi", 35); put("p_XingZouSuDong", 36); put("p_ShengYuReShuiLiangXianShi", 37); put("p_UsbzhiChiShiPinGeShi", 38); put("p_QingSaoShiJian", 39); put("p_150DKaiMen", 40); put("p_ShangGaiYanSe", 41); put("p_HeiXiaZiKongZhiJiShu", 42); put("p_WaiJiZaoYin", 43); put("p_EDingDianYa_PinLv", 44); put("p_WuBianJieXianShi", 45); put("p_JiaReFangShi", 46); put("p_ZhuJiChiCun", 47); put("p_DianChiLeiXing", 48); put("p_ZhiNengTouFang", 49); put("p_UsbzhiChiTuPianGeShi", 50); put("p_QiDongShuiLiuLiang", 51); put("p_ZhiNengJingHua", 52); put("p_V6ZhengQiTang", 53); put("p_ChanPinXingHao", 54); put("p_NeiBuCunChuKongJian", 55); put("p_Hdmi", 56); put("p_UsbzhiChiYinPinGeShi", 57); put("p_ZhongWenBaoWen", 58); put("p_KuaMenJianGaoDong", 59); put("p_ZhengJiGongLv", 60); put("p_EDingShuRuGongLv", 61); put("p_KeXuanShuiWei", 62); put("p_ZhengQiChiXuShiJian", 63); put("p_JueYuanBaoHu", 64); put("p_ShuiXiangRongJi", 65); put("p_ShuZiDianShi", 66); put("p_JinFengFangShi", 67); put("p_LengDongShiRongJi", 68); put("p_ZhiLengLiang", 69); put("p_ShuaTouFuJian", 70); put("p_NeiTongCaiZhi", 71); put("p_LanHuoMiaoZhuanLiAnQuanJiShu", 72); put("p_ShuangDianCiBiLiFa", 73); put("p_ChongDianShiJian", 74); put("p_DianChiChongDianDianYa", 75); put("p_JingYin", 76); put("p_WaiBaoZhuangXiangChiCun", 77); put("p_AnJianFangShi", 78); put("p_ShiFouYuYue", 79); put("p_WaiXingChiCun", 80); put("p_ZhiGuoJiaCaiZhi", 81); put("p_YiGanJiTing", 82); put("p_YouWuXiHuoBaoHu", 83); put("p_HaoDianLiang", 84); put("p_DianChiShuChuDianYa", 85); put("p_PingHuaLcdxianPing", 86); put("p_ZongRongJi", 87); put("p_SongFengFangShi", 88); put("p_ZaoYinZhi", 89); put("p_ZhiNeng", 90); put("p_ZiDongChuShuang", 91); put("p_XiYouYanJiWaiXingChiCun", 92); put("p_TeSeGongNeng", 93); put("p_ShuiXiangRongLiang", 94); put("p_LedkongZhiMianBan", 95); put("p_ChaoYuanJuLiSongFeng", 96); put("p_EDingYaLi", 97); put("p_DianChiRongLiang", 98); put("p_WangLuo", 99); put("p_ZhiReLiang", 100); put("p_FaReQiCaiZhi", 101); put("p_LengDongXingJi", 102); put("p_QiangLiQuWu", 103); put("p_EDingZhiReDianLiu", 104); put("p_RanQiZaoJingZhong", 105); put("p_BaoZhuangZhongLiang", 106); put("p_FangDianQiangJiShu", 107); put("p_ZhuanLiJinGangSanCengDan", 108); put("p_ShuZiYiTi", 109); put("p_ShiWaiJiMaoZhiLiang", 110); put("p_XiangTiCaiZhi", 111); put("p_EPingHuDong", 112); put("p_SuiJiFuJian", 113); put("p_BaoZhuangXiangChiCun", 114); put("p_YaoKongQi", 115); put("p_DianFuJiaRe", 116); put("p_EXiaShuangXi", 117); put("p_AvshuChu", 118); put("p_AnQuanYuJingJiShu", 119); put("p_FangGanShaoBaoHu", 120); put("p_ChuRe_SuReDongHeYiJiShu", 121); put("p_YuYue", 122); put("p_DianJiLeiXing", 123); put("p_WaiJiBaoZhuangXiangChiCun", 124); put("p_XuNiQiangHongWaiFaSheQiangDong_YouXiaoJuLi", 125); put("p_ZiBianCheng", 126); put("p_ZhiNengSeYuYanShen", 127); put("p_ChangKuanGao_BuHanDiZuo", 128); put("p_JingZhong", 129); put("p_JiYanQiangCaiZhi", 130); put("p_HuiChongShiJian", 131); put("p_JiChenHeRongJi", 132); put("p_NengHaoDengJi", 133); put("p_RanQiZaoZhuangPeiRuanGuanNeiJing", 134); put("p_ZhaoMingDengGongLv", 135); put("p_WaiJiDaiBaoZhuangXiangDeChiCun", 136); put("p_ShuoMingShu", 137); put("p_EDingChanReShuiNengLi", 138); put("p_YunXingZaoYin", 139); put("p_GongJinShu", 140); put("p_ZiDongHuaChengDong", 141); put("p_HongGanRongLiang", 142); put("p_ShiNeiJiJingZhiLiang", 143); put("p_PaiShuiKouWeiZhi", 144); put("p_TongSuoGongNeng", 145); put("p_NeiJiDaKongChiCun", 146); put("p_RfshePinDongZi", 147); put("p_ZhiLengLeiXing", 148); put("p_XiangTiYanSe", 149); put("p_CengJiaZaiWuZhongLiang", 150); put("p_ChaoWenBaoHu", 151); put("p_ChanPinJingZhong", 152); put("p_BaoZhuangChiCun", 153); put("p_ZhiMiSuoWenQiang", 154); put("p_RanQiZaoWaiXingChiCun", 155); put("p_DianFuJiaReGongLv", 156); put("p_FengLiang", 157); put("p_RanQiZaoWaKongChiCun", 158); put("p_ChanPinWaiGuanChiCun", 159); put("p_PiaoShuaiDongHeYi", 160); put("p_QiangLi", 161); put("p_LanYa", 162); put("p_ZuiGaoWenDong", 163); put("p_ChangKuanGao_HanDiZuo", 164); put("p_MaoZhong", 165); put("p_TongGanZao", 166); put("p_KongQiKaiGuan", 167); put("p_MaoZhongJingZhong", 168); put("p_KuanGaoHouBuHanDiZuo", 169); put("p_ZiQingJie", 170); put("p_WangLuoLianJie", 171); put("p_PaiShuiFangShi", 172); put("p_XianChang", 173); put("p_LuoJiChiCun", 174); put("p_ZhongTuTianYi", 175); put("p_XiJingJiTing", 176); put("p_DiYaRanShaoBaoHu", 177); put("p_Deng", 178); put("p_ZhuJiZuiDaGongLv", 179); put("p_DianYaFanWei", 180); put("p_ZhiChengGanGaoDong", 181); put("p_XiLie", 182); put("p_TongSuo", 183); put("p_FangZhouJinPao", 184); put("p_DangWei", 185); put("p_XiangTiCaiLiao", 186); put("p_ShuZiDianShiJieKou", 187); put("p_FengJiZhuanSu", 188); put("p_TuoShuiGongLv", 189); put("p_LiuMeiTiKaCaoJieKou", 190); put("p_JiaReGongLv", 191); put("p_NeiJiDaiBaoZhuangXiangDeChiCun", 192); put("p_ZhiLengFangShi", 193); put("p_TuoShuiRongLiang", 194); put("p_GuoCaiHe", 195); put("p_1LiFangMiRongNaTaiShu", 196); put("p_WaiXiangMaoZhong", 197); put("p_PingZuo", 198); put("p_BingXiangXingHao", 199); put("p_ShiYongShuiYa", 200); put("p_ZhuangXiangDan", 201); put("p_ShiWaiJiJingZhiLiang", 202); put("p_GuFengZengYangJiShu", 203); put("p_XiHuoBaoHu", 204); put("p_LengDongChouTi", 205); put("p_MaxxbasspingBanZhongDiYin", 206); put("p_DianYa", 207); put("p_DianHuoFangShi", 208); put("p_ZhongLiang", 209); put("p_CohanLiang", 210); put("p_Wifi", 211); put("p_ZaoYinZhiShu", 212); put("p_NengXiaoDengJi", 213); put("p_UsbjieKou", 214); put("p_JianKangChenYu", 215); put("p_EDingGongLv", 216); put("p_ZhengQiDaoGuanCaiZhi", 217); put("p_YeXi", 218); put("p_EZhongShengYinMoShi", 219); put("p_EDingShuChuGongLv", 220); put("p_BianWenChouTi", 221); put("p_MianBanYanSe", 222); put("p_XiZhenKongDai", 223); put("p_Eer", 224); put("p_YunTangMianBanCaiZhi", 225); put("p_YaSuoJiLeiXing", 226); put("p_IidaiLanHuoMiaoZhuanLiAnQuanJiShu", 227); put("p_YouXiaoRongJi", 228); put("p_ZhuJiJingZhong", 229); put("p_EDingPinLv", 230); put("p_ZuiGaoTuoShuiZhuanSu", 231); put("p_YanSe", 232); put("p_PeiJian", 233); put("p_FangGanShao", 234); put("p_BeiGuangYuan", 235); put("p_YinLaSiMianBan", 236); put("p_RanShaoXiTong", 237); put("p_Ypbpr", 238); put("p_ZiDongYinLiangXianZhi", 239); put("p_QiYuan", 240); put("p_ChuJiaQuan", 241); put("p_RongJi", 242); put("p_ZhuJiDongDingGongLv", 243); put("p_EDingDianYa", 244); put("p_NeiJiZaoYinDb", 245); put("p_ZhiGuoJiaXingZhuang", 246); put("p_ELiChuShi", 247); put("p_JiaGeQuJian", 248); put("p_WaiBaoZhuangChiCun", 249); put("p_BaoZhuangFangShi", 250); put("p_ZhunShiYuYue", 251); put("p_ChenRongLiang", 252); put("p_NengXiaoBiaoShiDengJi", 253); put("p_DianBiaoYaoQiu", 254); put("p_1In1KaTongXiangChiCun", 255); put("p_GaoChunDongWuYangTongShuiXiang", 256); put("p_PaiYanFangShi", 257); put("p_ZhenKongXiLiZhi", 258); put("p_ZhiNengCaoKong", 259); put("p_Cpu", 260); put("p_BaoZhuangQingDan", 261); put("p_XiDiRongLiang", 262); put("p_ZhuangPingShu", 263); put("p_TuXiangZhiShi", 264); put("p_ZuiDaFengYa", 265); put("p_JiChenFangShi", 266); put("p_XunHuanFengLiang", 267); put("p_LengCangShiRongJi", 268); put("p_DanHe", 269); put("p_WaiXiangChiCun", 270); put("p_EZhongBanYinMoShi", 271); put("p_ZhuanSu", 272); put("p_ChanPinLeiXing", 273); put("p_EDingZhiLengGongLv", 274); put("p_RanQiZaoDongDingYaLi", 275); put("p_BianWenShiRongJi", 276); put("p_YiJianZiQingJie", 277); put("p_RanQiZaoXingHao", 278); put("p_DianYuanXianChangDong", 279); put("p_45DkaiMen", 280); put("p_DianYuanZhongLei", 281); put("p_ShuiGuanKeYinCangAnZhuang", 282); put("p_ShiYongMianJi", 283); put("p_JingZhongBuHanDiZuo", 284); put("p_XiDiChengXu", 285); put("p_AnZhuangFangShi", 286); put("p_TingDianBuChang", 287); put("p_ZhuTiCaiZhi_WaiZhuangShiZhaoBuWei", 288); put("p_XiaoDongXingJi", 289); put("p_JiChenRongLiang", 290); put("p_LcdyeJingXianShi", 291); put("p_JingZhongHanDiZuo", 292); put("p_LiuMeiTi", 293); put("p_ZhiChengGanCaiZhi", 294); put("p_HongWaiXianYaoKongJiShu", 295); put("p_DanLiJinNeiTong", 296); put("p_ZaoJuYanShu", 297); put("p_KongZhiFangShi", 298); put("p_GeWuJia", 299); put("p_SuDongGongNeng", 300); put("p_PingMuChiCun", 301); put("p_ZhiNengFengYaJiShu", 302); put("p_ZiDongDang", 303); put("p_EDingZhiReGongLv", 304); put("p_FengGe", 305); put("p_DiZuopeiZhi", 306); put("p_BingXiangLengGuiJiXing", 307); put("p_ZhiNengHuYan", 308); put("p_LedyeJingXianShi", 309); put("p_AvliTiYin", 310); put("p_GongLv", 311); put("p_ZuiJiaGuanKanJuLi", 312); put("p_DingPin_BianPin", 313); put("p_ChaoDaGaoChunDongMeiBang", 314); put("p_KuanPinShuiWenDiaoJie", 315); put("p_ZhuJiCaiLiao", 316); put("p_PingMuBiLi", 317); put("p_XiYouYanJiJingZhong", 318); put("p_QiHouLeiXing", 319); put("p_FenBianLv", 320); put("p_AnZhuangWeiZhi", 321); put("p_ZhiLengJi", 322); put("p_ZhuJiChiCunZhiJing_Gao", 323); put("p_AvshuRu", 324); put("p_ShuRuGongLv", 325); put("p_XiDiGongLv", 326); put("p_XingHao", 327); put("p_NeiXiangChiCun", 328); put("p_QiangLiMoShi", 329); put("p_ShiNeiJiMaoZhiLiang", 330); put("p_JiuDongSeYuYanShen", 331); put("p_EJiDongZi", 332); put("p_GuoLvFangShi", 333); put("p_RanQiZaoMaoZhong", 334); put("p_WangLuoJieKou", 335); put("p_PinPai", 336); put("p_ZhengQiLiang", 337); put("p_LengMei", 338); put("p_HuiChongZuoShuChuDianYa_DianLiu", 339); put("p_MoBuChiCun", 340); put("p_NeiJiZaoYin", 341); put("p_ShangShiRiQi", 342); put("p_YingGeLaiBuXiuGangJiaReGuan", 343); put("p_YiLiangZiXuan", 344); put("p_NeiJiChiCun", 345); put("p_NeiXiangMaoZhong", 346); put("p_ZaoMianCaiZhi", 347); put("p_EDongHuoLiZiDongQieHuan", 348); put("p_WaKongChiCun", 349); put("p_JunHengQi", 350); put("p_ChanPinChiCun", 351); put("p_XiLiZhi", 352); put("p_KaiMenBaoJing", 353); put("p_ChiCun", 354); put("p_ZhenKongDong", 355); put("p_NeiJiBaoZhuangXiangChiCun", 356); put("p_ZaoYin", 357); put("p_EDingZhiLengDianLiu", 358); put("p_HuiChongZuoShuRuDianYa_DianLiu", 359); put("p_Pmv", 360); put("p_CaoZuoXiTong", 361); put("p_Apf", 362); put("p_ZhiNengWangLuo", 363); put("p_ZhengTiMaoZhong", 364); put("p_PiShu", 365); put("p_WaiGuanKuanShi", 366); put("p_YouWang", 367); put("p_XiYouYanJiYouZhiFenLiDong", 368); put("p_ChanPinPinLei", 369); put("p_LeiXing", 370); }}; List<Tuple2<ImmutableBytesWritable, KeyValue>> arr = new ArrayList<Tuple2<ImmutableBytesWritable, KeyValue>>(); String[] fieldValues = line.split("\t", 371); //System.out.println("内容:"+line+"\n字段数:"+fieldValues.length); if(fieldValues != null && fieldValues.length == 371){ String id = fieldValues[0]; byte[] rowkey = Bytes.toBytes(id); byte[] columnFamily = Bytes.toBytes(family); ImmutableBytesWritable ibw = new ImmutableBytesWritable(rowkey); fieldNames.forEach((k,v)->{ arr.add(new Tuple2<>(ibw, new KeyValue(rowkey, columnFamily, Bytes.toBytes(k), Bytes.toBytes(fieldValues[v])))); }); } return arr; } }
标签:fan sspi mapr redo idf print gets exe bytes
原文地址:https://www.cnblogs.com/mengyao/p/11047033.html