尚硅谷大数据技术-数据湖Hudi视频教程-笔记03【Hudi集成Spark】
大数据新风口：Hudi数据湖（尚硅谷&Apache Hudi联合出品）
- B站直达：https://www.bilibili.com/video/BV1ue4y1i7na 尚硅谷数据湖Hudi视频教程
- 百度网盘：https://pan.baidu.com/s/1NkPku5Pp-l0gfgoo63hR-Q?pwd=yyds
- 阿里云盘：https://www.aliyundrive.com/s/uMCmjb8nGaC（教程配套资料请从百度网盘下载）
尚硅谷大数据技术-数据湖Hudi视频教程-笔记01【Hudi概述、Hudi编译安装】
尚硅谷大数据技术-数据湖Hudi视频教程-笔记02【Hudi核心概念（基本概念、数据写、数据读）】
尚硅谷大数据技术-数据湖Hudi视频教程-笔记03【Hudi集成Spark】
尚硅谷大数据技术-数据湖Hudi视频教程-笔记04【Hudi集成Flink】
尚硅谷大数据技术-数据湖Hudi视频教程-笔记05【Hudi集成Hive】
目录
第4章 集成 Spark
026
027
028
029
030
031
第4章 集成 Spark
026
第4章 集成 Spark
4.1 环境准备
4.1.1 安装Spark
4.1.2 启动Hadoop（略）
4.2 spark-shell 方式
4.2.1 启动 spark-shell
1）启动命令
[atguigu@node001 ~]$ spark-shell \
> --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' \
> --conf 'spark.sql.catalog.spark_catalog=org.apache.spark.sql.hudi.catalog.HoodieCatalog' \
> --conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension'Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
18760 [main] WARN org.apache.hadoop.util.NativeCodeLoader - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Spark context Web UI available at http://node001:4040
Spark context available as 'sc' (master = local[*], app id = local-1704790850201).
Spark session available as 'spark'.
Welcome to____ __/ __/__ ___ _____/ /___\ \/ _ \/ _ `/ __/ '_//___/ .__/\_,_/_/ /_/\_\ version 3.2.2/_/Using Scala version 2.12.15 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_212)
Type in expressions to have them evaluated.
Type :help for more information.scala> 027
4.2.1 启动 spark-shell
2）设置表名，基本路径和数据生成器
scala> import org.apache.hudi.QuickstartUtils._
import org.apache.hudi.QuickstartUtils._scala> import scala.collection.JavaConversions._
import scala.collection.JavaConversions._scala> import org.apache.spark.sql.SaveMode._
import org.apache.spark.sql.SaveMode._scala> import org.apache.hudi.DataSourceReadOptions._
import org.apache.hudi.DataSourceReadOptions._scala> import org.apache.hudi.DataSourceWriteOptions._
import org.apache.hudi.DataSourceWriteOptions._scala> import org.apache.hudi.config.HoodieWriteConfig._
import org.apache.hudi.config.HoodieWriteConfig._scala> scala> val tableName = "hudi_trips_cow"
tableName: String = hudi_trips_cowscala> val basePath = "file:///tmp/hudi_trips_cow"
basePath: String = file:///tmp/hudi_trips_cowscala> val dataGen = new DataGenerator
dataGen: org.apache.hudi.QuickstartUtils.DataGenerator = org.apache.hudi.QuickstartUtils$DataGenerator@66e6b022scala> scala> scala> val inserts = convertToStringList(dataGen.generateInserts(10))
inserts: java.util.List[String] = [{"ts": 1704209002713, "uuid": "58f04a7a-6d32-42a6-8915-dfc00ae845fc", "rider": "rider-213", "driver": "driver-213", "begin_lat": 0.4726905879569653, "begin_lon": 0.46157858450465483, "end_lat": 0.754803407008858, "end_lon": 0.9671159942018241, "fare": 34.158284716382845, "partitionpath": "americas/brazil/sao_paulo"}, {"ts": 1704623138251, "uuid": "d2c871b0-e98e-44ee-815b-09fbcc5771bb", "rider": "rider-213", "driver": "driver-213", "begin_lat": 0.6100070562136587, "begin_lon": 0.8779402295427752, "end_lat": 0.3407870505929602, "end_lon": 0.5030798142293655, "fare": 43.4923811219014, "partitionpath": "americas/brazil/sao_paulo"}, {"ts": 1704362707376, "uuid": "74e4699e-3644-477e-9d12-bf83a67c59c1", "rider": "rider-213", "driver"...scala> val df = spark.read.json(spark.sparkContext.parallelize(inserts, 2))
warning: one deprecation (since 2.12.0)
warning: one deprecation (since 2.2.0)
warning: two deprecations in total; for details, enable `:setting -deprecation' or `:replay -deprecation'
df: org.apache.spark.sql.DataFrame = [begin_lat: double, begin_lon: double ... 8 more fields]scala> df.write.format("hudi").| options(getQuickstartWriteConfigs).| option(PRECOMBINE_FIELD_OPT_KEY, "ts").| option(RECORDKEY_FIELD_OPT_KEY, "uuid").| option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").| option(TABLE_NAME, tableName).| mode(Overwrite).| save(basePath)
warning: one deprecation; for details, enable `:setting -deprecation' or `:replay -deprecation'
7744528 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Cannot find HUDI_CONF_DIR, please set it as the dir of hudi-defaults.conf
7744558 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Properties file file:/etc/hudi/conf/hudi-defaults.conf not found. Ignoring to load props file
7747037 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path file:///tmp/hudi_trips_cow/.hoodie/metadatascala> 
028
4.2.3 查询数据
scala> val tripsSnapshotDF = spark.| read.| format("hudi").| load(basePath)
tripsSnapshotDF: org.apache.spark.sql.DataFrame = [_hoodie_commit_time: string, _hoodie_commit_seqno: string ... 13 more fields]scala> tripsSnapshotDF.createOrReplaceTempView("hudi_trips_snapshot")scala> scala> spark.sql("select fare, begin_lon, begin_lat, ts from hudi_trips_snapshot where fare > 20.0").show()
+------------------+-------------------+-------------------+-------------+
| fare| begin_lon| begin_lat| ts|
+------------------+-------------------+-------------------+-------------+
| 33.92216483948643| 0.9694586417848392| 0.1856488085068272|1704256809374|
| 64.27696295884016| 0.4923479652912024| 0.5731835407930634|1704362707376|
| 93.56018115236618|0.14285051259466197|0.21624150367601136|1704216687193|
| 27.79478688582596| 0.6273212202489661|0.11488393157088261|1704494741512|
| 43.4923811219014| 0.8779402295427752| 0.6100070562136587|1704623138251|
| 66.62084366450246|0.03844104444445928| 0.0750588760043035|1704568660989|
|34.158284716382845|0.46157858450465483| 0.4726905879569653|1704209002713|
| 41.06290929046368| 0.8192868687714224| 0.651058505660742|1704563419431|
+------------------+-------------------+-------------------+-------------+scala> spark.sql("select * from hudi_trips_snapshot where fare > 20.0").show()
+-------------------+--------------------+--------------------+----------------------+--------------------+-------------------+-------------------+----------+-------------------+-------------------+------------------+---------+-------------+--------------------+--------------------+
|_hoodie_commit_time|_hoodie_commit_seqno| _hoodie_record_key|_hoodie_partition_path| _hoodie_file_name| begin_lat| begin_lon| driver| end_lat| end_lon| fare| rider| ts| uuid| partitionpath|
+-------------------+--------------------+--------------------+----------------------+--------------------+-------------------+-------------------+----------+-------------------+-------------------+------------------+---------+-------------+--------------------+--------------------+
| 20240109190932344|20240109190932344...|ca1d00a7-8eeb-49c...| americas/united_s...|7608cfb3-4a20-418...| 0.1856488085068272| 0.9694586417848392|driver-213|0.38186367037201974|0.25252652214479043| 33.92216483948643|rider-213|1704256809374|ca1d00a7-8eeb-49c...|americas/united_s...|
| 20240109190932344|20240109190932344...|74e4699e-3644-477...| americas/united_s...|7608cfb3-4a20-418...| 0.5731835407930634| 0.4923479652912024|driver-213|0.08988581780930216|0.42520899698713666| 64.27696295884016|rider-213|1704362707376|74e4699e-3644-477...|americas/united_s...|
| 20240109190932344|20240109190932344...|fb17af56-2f63-481...| americas/united_s...|7608cfb3-4a20-418...|0.21624150367601136|0.14285051259466197|driver-213| 0.5890949624813784| 0.0966823831927115| 93.56018115236618|rider-213|1704216687193|fb17af56-2f63-481...|americas/united_s...|
| 20240109190932344|20240109190932344...|c745152f-893d-461...| americas/united_s...|7608cfb3-4a20-418...|0.11488393157088261| 0.6273212202489661|driver-213| 0.7454678537511295| 0.3954939864908973| 27.79478688582596|rider-213|1704494741512|c745152f-893d-461...|americas/united_s...|
| 20240109190932344|20240109190932344...|d2c871b0-e98e-44e...| americas/brazil/s...|1c69c03e-47de-4d9...| 0.6100070562136587| 0.8779402295427752|driver-213| 0.3407870505929602| 0.5030798142293655| 43.4923811219014|rider-213|1704623138251|d2c871b0-e98e-44e...|americas/brazil/s...|
| 20240109190932344|20240109190932344...|6983e2a6-61e4-4df...| americas/brazil/s...|1c69c03e-47de-4d9...| 0.0750588760043035|0.03844104444445928|driver-213|0.04376353354538354| 0.6346040067610669| 66.62084366450246|rider-213|1704568660989|6983e2a6-61e4-4df...|americas/brazil/s...|
| 20240109190932344|20240109190932344...|58f04a7a-6d32-42a...| americas/brazil/s...|1c69c03e-47de-4d9...| 0.4726905879569653|0.46157858450465483|driver-213| 0.754803407008858| 0.9671159942018241|34.158284716382845|rider-213|1704209002713|58f04a7a-6d32-42a...|americas/brazil/s...|
| 20240109190932344|20240109190932344...|f464f5d9-c284-4a8...| asia/india/chennai|38325a98-dd9a-453...| 0.651058505660742| 0.8192868687714224|driver-213|0.20714896002914462|0.06224031095826987| 41.06290929046368|rider-213|1704563419431|f464f5d9-c284-4a8...| asia/india/chennai|
+-------------------+--------------------+--------------------+----------------------+--------------------+-------------------+-------------------+----------+-------------------+-------------------+------------------+---------+-------------+--------------------+--------------------+scala> 
029
4.2.4 更新数据
val tripsSnapshotDF1 = spark.read.format("hudi").load(basePath)
tripsSnapshotDF.createOrReplaceTempView("hudi_trips_snapshot1")spark.sql("select _hoodie_commit_time, _hoodie_record_key, _hoodie_partition_path, rider, driver, fare from hudi_trips_snapshot").show(20)
scala> val tripsSnapshotDF1 = spark.read.format("hudi").load(basePath)
tripsSnapshotDF1: org.apache.spark.sql.DataFrame = [_hoodie_commit_time: string, _hoodie_commit_seqno: string ... 13 more fields]scala> tripsSnapshotDF1.createOrReplaceTempView("hudi_trips_snapshot1")scala> spark.sql("select _hoodie_commit_time, _hoodie_record_key, _hoodie_partition_path, rider, driver, fare from hudi_trips_snapshot").show(20)
+-------------------+--------------------+----------------------+---------+----------+------------------+
|_hoodie_commit_time| _hoodie_record_key|_hoodie_partition_path| rider| driver| fare|
+-------------------+--------------------+----------------------+---------+----------+------------------+
| 20240123152755513|c1f36d67-9031-415...| americas/united_s...|rider-213|driver-213| 64.27696295884016|
| 20240123152755513|a1914586-f6f8-468...| americas/united_s...|rider-213|driver-213| 33.92216483948643|
| 20240123152755513|7779f311-34fb-412...| americas/united_s...|rider-213|driver-213| 93.56018115236618|
| 20240123152755513|bc90314b-537a-409...| americas/united_s...|rider-213|driver-213| 27.79478688582596|
| 20240123152755513|aef5f9e3-e31a-42c...| americas/united_s...|rider-213|driver-213|19.179139106643607|
| 20240123152755513|1dda1939-c3a7-488...| americas/brazil/s...|rider-213|driver-213|34.158284716382845|
| 20240123152755513|7f6b775b-1480-425...| americas/brazil/s...|rider-213|driver-213| 43.4923811219014|
| 20240123152755513|ce7f6bb2-53de-46b...| americas/brazil/s...|rider-213|driver-213| 66.62084366450246|
| 20240123152755513|10b632a9-59e5-4ef...| asia/india/chennai|rider-213|driver-213|17.851135255091155|
| 20240123152755513|8a78e424-e64a-40f...| asia/india/chennai|rider-213|driver-213| 41.06290929046368|
+-------------------+--------------------+----------------------+---------+----------+------------------+scala>
4.2.3 查询数据
3）时间旅行查询
030
4.2.5 增量查询
scala> spark.| read.| format("hudi").| load(basePath).| createOrReplaceTempView("hudi_trips_snapshot")scala> val commits = spark.sql("select distinct(_hoodie_commit_time) as commitTime from hudi_trips_snapshot order by commitTime").map(k => k.getString(0)).take(50)
commits: Array[String] = Array(20240123152755513) scala> val beginTime = commits(commits.length - 2)
java.lang.ArrayIndexOutOfBoundsException: -1... 59 elidedscala> scala> scala> val updates = convertToStringList(dataGen.generateUpdates(10))
updates: java.util.List[String] = [{"ts": 1705879465411, "uuid": "c1f36d67-9031-4157-a8d2-13b6d30b1572", "rider": "rider-284", "driver": "driver-284", "begin_lat": 0.7340133901254792, "begin_lon": 0.5142184937933181, "end_lat": 0.7814655558162802, "end_lon": 0.6592596683641996, "fare": 49.527694252432056, "partitionpath": "americas/united_states/san_francisco"}, {"ts": 1705399614657, "uuid": "1dda1939-c3a7-4884-9b70-4ef87bc050f9", "rider": "rider-284", "driver": "driver-284", "begin_lat": 0.1593867607188556, "begin_lon": 0.010872312870502165, "end_lat": 0.9808530350038475, "end_lon": 0.7963756520507014, "fare": 29.47661370147079, "partitionpath": "americas/brazil/sao_paulo"}, {"ts": 1705403081035, "uuid": "1dda1939-c3a7-4884-9b70-4ef87bc050f9", "rider": "rider-...scala> val df = spark.read.json(spark.sparkContext.parallelize(updates, 2))
warning: one deprecation (since 2.12.0)
warning: one deprecation (since 2.2.0)
warning: two deprecations in total; for details, enable `:setting -deprecation' or `:replay -deprecation'
df: org.apache.spark.sql.DataFrame = [begin_lat: double, begin_lon: double ... 8 more fields]scala> df.write.format("hudi").| options(getQuickstartWriteConfigs).| option(PRECOMBINE_FIELD_OPT_KEY, "ts").| option(RECORDKEY_FIELD_OPT_KEY, "uuid").| option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").| option(TABLE_NAME, tableName).| mode(Append).| save(basePath)
warning: one deprecation; for details, enable `:setting -deprecation' or `:replay -deprecation'scala> val updates = convertToStringList(dataGen.generateUpdates(10))
updates: java.util.List[String] = [{"ts": 1705790965039, "uuid": "c1f36d67-9031-4157-a8d2-13b6d30b1572", "rider": "rider-243", "driver": "driver-243", "begin_lat": 0.9045189017781902, "begin_lon": 0.38697902072535484, "end_lat": 0.21932410786717094, "end_lon": 0.7816060218244935, "fare": 44.596839246210095, "partitionpath": "americas/united_states/san_francisco"}, {"ts": 1705482677807, "uuid": "ce7f6bb2-53de-46bd-87f8-ff19f367bd1d", "rider": "rider-243", "driver": "driver-243", "begin_lat": 0.856152038750905, "begin_lon": 0.3132477949501916, "end_lat": 0.8742438057467156, "end_lon": 0.26923247017036556, "fare": 2.4995362119815567, "partitionpath": "americas/brazil/sao_paulo"}, {"ts": 1705754253073, "uuid": "c1f36d67-9031-4157-a8d2-13b6d30b1572", "rider": "rider...scala> val df = spark.read.json(spark.sparkContext.parallelize(updates, 2))
warning: one deprecation (since 2.12.0)
warning: one deprecation (since 2.2.0)
warning: two deprecations in total; for details, enable `:setting -deprecation' or `:replay -deprecation'
df: org.apache.spark.sql.DataFrame = [begin_lat: double, begin_lon: double ... 8 more fields]scala> df.write.format("hudi").| options(getQuickstartWriteConfigs).| option(PRECOMBINE_FIELD_OPT_KEY, "ts").| option(RECORDKEY_FIELD_OPT_KEY, "uuid").| option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").| option(TABLE_NAME, tableName).| mode(Append).| save(basePath)
warning: one deprecation; for details, enable `:setting -deprecation' or `:replay -deprecation'scala> val updates = convertToStringList(dataGen.generateUpdates(10))
updates: java.util.List[String] = [{"ts": 1705393408046, "uuid": "10b632a9-59e5-4ef4-811c-1250a817c74a", "rider": "rider-563", "driver": "driver-563", "begin_lat": 0.16172715555352513, "begin_lon": 0.6286940931025506, "end_lat": 0.7559063825441225, "end_lon": 0.39828516291900906, "fare": 16.098476392187365, "partitionpath": "asia/india/chennai"}, {"ts": 1705982569737, "uuid": "8a78e424-e64a-40f8-8eb7-f8e3741ab17e", "rider": "rider-563", "driver": "driver-563", "begin_lat": 0.9312237784651692, "begin_lon": 0.67243450582925, "end_lat": 0.28393433672984614, "end_lon": 0.2725166210142148, "fare": 27.603571822228822, "partitionpath": "asia/india/chennai"}, {"ts": 1705602950761, "uuid": "bc90314b-537a-409e-9d93-9c8663d578cc", "rider": "rider-563", "driver": "driver-5...scala> val df = spark.read.json(spark.sparkContext.parallelize(updates, 2))
warning: one deprecation (since 2.12.0)
warning: one deprecation (since 2.2.0)
warning: two deprecations in total; for details, enable `:setting -deprecation' or `:replay -deprecation'
df: org.apache.spark.sql.DataFrame = [begin_lat: double, begin_lon: double ... 8 more fields]scala> df.write.format("hudi").| options(getQuickstartWriteConfigs).| option(PRECOMBINE_FIELD_OPT_KEY, "ts").| option(RECORDKEY_FIELD_OPT_KEY, "uuid").| option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").| option(TABLE_NAME, tableName).| mode(Append).| save(basePath)
warning: one deprecation; for details, enable `:setting -deprecation' or `:replay -deprecation'scala> scala> scala> spark.| read.| format("hudi").| load(basePath).| createOrReplaceTempView("hudi_trips_snapshot")scala> val commits = spark.sql("select distinct(_hoodie_commit_time) as commitTime from hudi_trips_snapshot order by commitTime").map(k => k.getString(0)).take(50)
commits: Array[String] = Array(20240123155641315, 20240123155717896, 20240123155726796)scala> val beginTime = commits(commits.length - 2)
beginTime: String = 20240123155717896scala> val tripsIncrementalDF = spark.read.format("hudi").| option(QUERY_TYPE_OPT_KEY, QUERY_TYPE_INCREMENTAL_OPT_VAL).| option(BEGIN_INSTANTTIME_OPT_KEY, beginTime).| load(basePath)
tripsIncrementalDF: org.apache.spark.sql.DataFrame = [_hoodie_commit_time: string, _hoodie_commit_seqno: string ... 13 more fields]scala> tripsIncrementalDF.createOrReplaceTempView("hudi_trips_incremental")scala> spark.sql("select `_hoodie_commit_time`, fare, begin_lon, begin_lat, ts from hudi_trips_incremental where fare > 20.0").show()
+-------------------+------------------+-------------------+------------------+-------------+
|_hoodie_commit_time| fare| begin_lon| begin_lat| ts|
+-------------------+------------------+-------------------+------------------+-------------+
| 20240123155726796| 54.16944371261484| 0.7548086309564753|0.5535762898838785|1705960250638|
| 20240123155726796| 37.35848234860164| 0.9084944020139248|0.6330100459693088|1705652568556|
| 20240123155726796| 84.66949742559657|0.31331111382522836|0.8573834026158349|1705867633650|
| 20240123155726796| 38.4828225162323|0.20404106962358204|0.1450793330198833|1705405789140|
| 20240123155726796| 55.31092276192561| 0.826183030502974| 0.391583018565109|1705428608507|
| 20240123155726796|27.603571822228822| 0.67243450582925|0.9312237784651692|1705982569737|
+-------------------+------------------+-------------------+------------------+-------------+scala> 4.2.6 指定时间点查询
scala> val beginTime = "000"
beginTime: String = 000scala> val endTime = commits(commits.length - 2)
endTime: String = 20240123155717896scala> val tripsPointInTimeDF = spark.read.format("hudi").| option(QUERY_TYPE_OPT_KEY, QUERY_TYPE_INCREMENTAL_OPT_VAL).| option(BEGIN_INSTANTTIME_OPT_KEY, beginTime).| option(END_INSTANTTIME_OPT_KEY, endTime).| load(basePath)
tripsPointInTimeDF: org.apache.spark.sql.DataFrame = [_hoodie_commit_time: string, _hoodie_commit_seqno: string ... 13 more fields]scala> tripsPointInTimeDF.createOrReplaceTempView("hudi_trips_point_in_time")scala> spark.sql("select `_hoodie_commit_time`, fare, begin_lon, begin_lat, ts from hudi_trips_point_in_time where fare > 20.0").show()
+-------------------+------------------+-------------------+-------------------+-------------+
|_hoodie_commit_time| fare| begin_lon| begin_lat| ts|
+-------------------+------------------+-------------------+-------------------+-------------+
| 20240123155717896|44.596839246210095|0.38697902072535484| 0.9045189017781902|1705790965039|
| 20240123155641315| 90.9053809533154|0.19949323322922063|0.18294079059016366|1705742911148|
| 20240123155717896|26.636532270940915|0.12314538318119372|0.35527775182006427|1705655264707|
| 20240123155717896| 51.42305232303094| 0.7071871604905721| 0.876334576190389|1705609025064|
| 20240123155641315| 91.99515909032544| 0.2783086084578943| 0.2110206104048945|1705585303503|
| 20240123155717896| 89.45841313717807|0.22991770617403628| 0.6923616674358241|1705771716835|
| 20240123155717896| 71.08018349571618| 0.8150991077375751|0.01925237918893319|1705812754018|
+-------------------+------------------+-------------------+-------------------+-------------+scala> 031
4.2.7 删除数据
3.2.6 删除策略
1）逻辑删：将 value 字段全部标记为 null。
2）物理删：
（1）通过 OPERATION_OPT_KEY 删除所有的输入记录
（2）配置 PAYLOAD_CLASS_OPT_KEY = org.apache.hudi.EmptyHoodieRecordPayload 删除所有的输入记录
（3）在输入记录添加字段：_hoodie_is_deleted
4.2.8 覆盖数据
032
4.3 Spark SQL方式
4.3.1 创建表
[atguigu@node001 ~]$ nohup hive --service metastore &
[1] 11371
[atguigu@node001 ~]$ nohup: 忽略输入并把输出追加到"nohup.out"[atguigu@node001 ~]$ jpsall
================ node001 ================
3472 NameNode
4246 NodeManager
4455 JobHistoryServer
11384 -- process information unavailable
10456 SparkSubmit
3642 DataNode
4557 SparkSubmit
11437 Jps
================ node002 ================
6050 Jps
2093 DataNode
2495 NodeManager
2335 ResourceManager
================ node003 ================
5685 Jps
2279 SecondaryNameNode
2459 NodeManager
2159 DataNode
[atguigu@node001 ~]$ netstat -anp | grep 9083
(Not all processes could be identified, non-owned process infowill not be shown, you would have to be root to see it all.)
tcp6 0 0 :::9083 :::* LISTEN 11371/java
[atguigu@node001 ~]$ spark-sql \
> --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' \
> --conf 'spark.sql.catalog.spark_catalog=org.apache.spark.sql.hudi.catalog.HoodieCatalog' \
> --conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension'
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
0 [main] WARN org.apache.hadoop.util.NativeCodeLoader - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
1410 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.metastore.event.db.notification.api.auth does not exist
1410 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.server2.active.passive.ha.enable does not exist
8317 [main] WARN org.apache.spark.util.Utils - Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
8319 [main] WARN org.apache.spark.util.Utils - Service 'SparkUI' could not bind on port 4041. Attempting port 4042.
Spark master: local[*], Application Id: local-1706012797408
spark-sql (default)> show databases;
namespace
default
edu2077
Time taken: 11.185 seconds, Fetched 2 row(s)
spark-sql (default)> > create database spark_hudi;
Response code
Time taken: 11.725 seconds
spark-sql (default)> use spark_hudi;
Response code
Time taken: 0.673 seconds
spark-sql (default)> create table hudi_cow_nonpcf_tbl (> uuid int,> name string,> price double> ) using hudi;
422168 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Cannot find HUDI_CONF_DIR, please set it as the dir of hudi-defaults.conf
422406 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Properties file file:/etc/hudi/conf/hudi-defaults.conf not found. Ignoring to load props file
425565 [main] WARN org.apache.hadoop.hive.ql.session.SessionState - METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
Response code
Time taken: 10.492 seconds
spark-sql (default)> show tables;
namespace tableName isTemporary
hudi_cow_nonpcf_tbl
Time taken: 1.444 seconds, Fetched 1 row(s)
spark-sql (default)> desc hudi_cow_nonpcf_tbl;
col_name data_type comment
_hoodie_commit_time string
_hoodie_commit_seqno string
_hoodie_record_key string
_hoodie_partition_path string
_hoodie_file_name string
uuid int
name string
price double
Time taken: 2.179 seconds, Fetched 8 row(s)
spark-sql (default)> create table hudi_mor_tbl (> id int,> name string,> price double,> ts bigint> ) using hudi> tblproperties (> type = 'mor',> primaryKey = 'id',> preCombineField = 'ts'> );
Response code
Time taken: 1.803 seconds
spark-sql (default)> show tables;
namespace tableName isTemporary
hudi_cow_nonpcf_tbl
hudi_mor_tbl
Time taken: 0.257 seconds, Fetched 2 row(s)
spark-sql (default)> desc hudi_mor_tbl;
col_name data_type comment
_hoodie_commit_time string
_hoodie_commit_seqno string
_hoodie_record_key string
_hoodie_partition_path string
_hoodie_file_name string
id int
name string
price double
ts bigint
Time taken: 0.636 seconds, Fetched 9 row(s)
spark-sql (default)> create table hudi_cow_pt_tbl (> id bigint,> name string,> ts bigint,> dt string,> hh string> ) using hudi> tblproperties (> type = 'cow',> primaryKey = 'id',> preCombineField = 'ts'> )> partitioned by (dt, hh)> location '/tmp/hudi/hudi_cow_pt_tbl';
Response code
Time taken: 21.88 seconds
spark-sql (default)> create table hudi_ctas_cow_nonpcf_tbl> using hudi> tblproperties (primaryKey = 'id')> as> select 1 as id, 'a1' as name, 10 as price;
1514254 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path file:/home/atguigu/spark-warehouse/spark_hudi.db/hudi_ctas_cow_nonpcf_tbl/.hoodie/metadata
1546852 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.metastore.event.db.notification.api.auth does not exist
1546852 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.server2.active.passive.ha.enable does not exist
Response code
Time taken: 63.078 seconds
spark-sql (default)> select * from hudi_ctas_cow_nonpcf_tbl;
_hoodie_commit_time _hoodie_commit_seqno _hoodie_record_key _hoodie_partition_path _hoodie_file_name id name price
20240123205131373 20240123205131373_0_0 id:1 bee32427-f490-40dd-89ed-3bacd3adf6fb-0_0-17-15_20240123205131373.parquet 1 a1 10
Time taken: 1.636 seconds, Fetched 1 row(s)
spark-sql (default)> create table hudi_ctas_cow_pt_tbl> using hudi> tblproperties (type = 'cow', primaryKey = 'id', preCombineField = 'ts')> partitioned by (dt)> as> select 1 as id, 'a1' as name, 10 as price, 1000 as ts, '2021-12-01' as dt;
1646675 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path file:/home/atguigu/spark-warehouse/spark_hudi.db/hudi_ctas_cow_pt_tbl/.hoodie/metadata
1664435 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.metastore.event.db.notification.api.auth does not exist
1664435 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.server2.active.passive.ha.enable does not exist
Response code
Time taken: 26.019 seconds
spark-sql (default)> select * from hudi_ctas_cow_pt_tbl;
_hoodie_commit_time _hoodie_commit_seqno _hoodie_record_key _hoodie_partition_path _hoodie_file_name id name price ts dt
20240123205354771 20240123205354771_0_0 id:1 dt=2021-12-01 88ad8031-2239-4bce-8494-5bf109012400-0_0-69-1259_20240123205354771.parquet 1 a1 10 1000 2021-12-01
Time taken: 2.829 seconds, Fetched 1 row(s)
spark-sql (default)> 033
4.3.2 插入数据
spark-sql (default)> show tables;
namespace tableName isTemporary
hudi_cow_nonpcf_tbl
hudi_cow_pt_tbl
hudi_ctas_cow_nonpcf_tbl
hudi_ctas_cow_pt_tbl
hudi_mor_tbl
Time taken: 1.298 seconds, Fetched 5 row(s)
spark-sql (default)> insert into hudi_cow_nonpcf_tbl 1, 'a1', 20;
Error in query:
mismatched input '1' expecting {'(', 'FROM', 'MAP', 'REDUCE', 'SELECT', 'TABLE', 'VALUES'}(line 1, pos 32)== SQL ==
insert into hudi_cow_nonpcf_tbl 1, 'a1', 20
--------------------------------^^^spark-sql (default)> insert into hudi_cow_nonpcf_tbl select 1, 'a1', 20;
458055 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Cannot find HUDI_CONF_DIR, please set it as the dir of hudi-defaults.conf
458212 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Properties file file:/etc/hudi/conf/hudi-defaults.conf not found. Ignoring to load props file
475300 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path file:/home/atguigu/spark-warehouse/spark_hudi.db/hudi_cow_nonpcf_tbl/.hoodie/metadata
517206 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.metastore.event.db.notification.api.auth does not exist
517206 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.server2.active.passive.ha.enable does not exist
Response code
Time taken: 80.477 seconds
spark-sql (default)> insert into hudi_mor_tbl select 1, 'a1', 20, 1000;
640716 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path file:/home/atguigu/spark-warehouse/spark_hudi.db/hudi_mor_tbl/.hoodie/metadata
694713 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.metastore.event.db.notification.api.auth does not exist
694723 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.server2.active.passive.ha.enable does not exist
Response code
Time taken: 71.597 seconds
spark-sql (default)> insert into hudi_cow_pt_tbl partition (dt, hh)> select 1 as id, 'a1' as name, 1000 as ts, '2021-12-09' as dt, '10' as hh;
743011 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl/.hoodie/metadata
04:48 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl. Falling back to direct markers.
04:49 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl. Falling back to direct markers.
04:53 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl. Falling back to direct markers.
Response code
Time taken: 46.44 seconds
spark-sql (default)> insert into hudi_cow_pt_tbl partition(dt = '2021-12-09', hh='11') select 2, 'a2', 1000;
10:06 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl. Falling back to direct markers.
10:07 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl. Falling back to direct markers.
10:11 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl. Falling back to direct markers.
Response code
Time taken: 71.592 seconds
spark-sql (default)> select * from hudi_mor_tbl;
_hoodie_commit_time _hoodie_commit_seqno _hoodie_record_key _hoodie_partition_path _hoodie_file_name id name price ts
20240125160415749 20240125160415749_0_0 id:1 a81ca1da-f642-45c5-ac7e-eb93de803ba8-0_0-65-1253_20240125160415749.parquet 1 a1 20.0 1000
Time taken: 23.135 seconds, Fetched 1 row(s)
spark-sql (default)> -- 向指定preCombineKey的表插入数据，则写操作为upsert
spark-sql (default)> insert into hudi_mor_tbl select 1, 'a1_1', 20, 1001;
1353572 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.metastore.event.db.notification.api.auth does not exist
1353573 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.server2.active.passive.ha.enable does not exist
Response code
Time taken: 46.455 seconds
spark-sql (default)> select id, name, price, ts from hudi_mor_tbl;
id name price ts
1 a1_1 20.0 1001
Time taken: 2.081 seconds, Fetched 1 row(s)
spark-sql (default)> set hoodie.sql.bulk.insert.enable=true;
key value
hoodie.sql.bulk.insert.enable true
Time taken: 0.214 seconds, Fetched 1 row(s)
spark-sql (default)> set hoodie.sql.insert.mode=non-strict;
key value
hoodie.sql.insert.mode non-strict
Time taken: 0.027 seconds, Fetched 1 row(s)
spark-sql (default)> insert into hudi_mor_tbl select 1, 'a1_2', 20, 1002;
1538483 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.metastore.event.db.notification.api.auth does not exist
1538486 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.server2.active.passive.ha.enable does not exist
Response code
Time taken: 42.906 seconds
spark-sql (default)> select id, name, price, ts from hudi_mor_tbl;
id name price ts
1 a1_2 20.0 1002
1 a1_1 20.0 1001
Time taken: 1.015 seconds, Fetched 2 row(s)
spark-sql (default)> set hoodie.sql.bulk.insert.enable=false;
key value
hoodie.sql.bulk.insert.enable false
Time taken: 2.396 seconds, Fetched 1 row(s)
spark-sql (default)> create table hudi_cow_pt_tbl1 (> id bigint,> name string,> ts bigint,> dt string,> hh string> ) using hudi> tblproperties (> type = 'cow',> primaryKey = 'id',> preCombineField = 'ts'> )> partitioned by (dt, hh)> location '/tmp/hudi/hudi_cow_pt_tbl1';
1737608 [main] WARN org.apache.hadoop.hive.ql.session.SessionState - METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
Response code
Time taken: 12.013 seconds
spark-sql (default)> insert into hudi_cow_pt_tbl1 select 1, 'a0', 1000, '2021-12-09', '10';
1765548 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl1/.hoodie/metadata
22:14 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl1. Falling back to direct markers.
22:15 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl1. Falling back to direct markers.
22:23 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl1. Falling back to direct markers.
Response code
Time taken: 64.552 seconds
spark-sql (default)> select * from hudi_cow_pt_tbl1;
_hoodie_commit_time _hoodie_commit_seqno _hoodie_record_key _hoodie_partition_path _hoodie_file_name id name ts dt hh
20240125162301446 20240125162301446_0_0 id:1 dt=2021-12-09/hh=10 1e1b2016-8b33-4d4b-a824-4cd53ab7e8ec-0_0-290-5658_20240125162301446.parquet 1a0 1000 2021-12-09 10
Time taken: 1.702 seconds, Fetched 1 row(s)
spark-sql (default)> insert into hudi_cow_pt_tbl1 select 1, 'a1', 1001, '2021-12-09', '10';
23:04 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl1. Falling back to direct markers.
23:05 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl1. Falling back to direct markers.
23:09 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://node001:8020/tmp/hudi/hudi_cow_pt_tbl1. Falling back to direct markers.
Response code
Time taken: 16.112 seconds
spark-sql (default)> select * from hudi_cow_pt_tbl1;
_hoodie_commit_time _hoodie_commit_seqno _hoodie_record_key _hoodie_partition_path _hoodie_file_name id name ts dt hh
20240125162431677 20240125162431677_0_0 id:1 dt=2021-12-09/hh=10 1e1b2016-8b33-4d4b-a824-4cd53ab7e8ec-0_0-329-6292_20240125162431677.parquet 1a1 1001 2021-12-09 10
Time taken: 1.122 seconds, Fetched 1 row(s)
spark-sql (default)> select * from hudi_cow_pt_tbl1 timestamp as of '20220307091628793' where id = 1;
_hoodie_commit_time _hoodie_commit_seqno _hoodie_record_key _hoodie_partition_path _hoodie_file_name id name ts dt hh
Time taken: 20.962 seconds
spark-sql (default)> 034
4.3.4 更新数据
1）update
035
4.3.4 更新数据
2）MergeInto