Spark Structured Streaming 解析 JSON
Producer
傳送 JSON 資料到 Kafka：
from confluent_kafka import Producer
p = Producer({'bootstrap.servers': 'localhost:9092'})
def delivery_report(err, msg):
""" Called once for each message produced to indicate delivery result.
Triggered by poll() or flush(). """
if err is not None:
print('Message delivery failed: {}'.format(err))
else:
print('Message delivered to {} [{}]'.format(msg.topic(), msg.partition()))
with open("/Users/ohmycloud/bigdata/Spark/camelia.json") as f:
data = f.read()
p.poll(0)
p.produce('net-logs', data.encode('utf-8'), callback=delivery_report)
p.flush()
JSON 資料內容如下：
{
"metadata":{
"access_token":"c.FmDPkzyzaQe...",
"client_version":1
},
"devices":{
"thermostats":{
"peyiJNo0IldT2YlIVtYaGQ":{
"device_id":"peyiJNo0IldT2YlIVtYaGQ",
"locale":"en-US",
"software_version":"4.0",
"structure_id":"VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw",
"name":"Hallway (upstairs)",
"name_long":"Hallway Thermostat (upstairs)",
"last_connection":"2016-10-31T23:59:59.000Z",
"is_online":true,
"can_cool":true,
"can_heat":true,
"is_using_emergency_heat":true,
"has_fan":true,
"fan_timer_active":true,
"fan_timer_timeout":"2016-10-31T23:59:59.000Z",
"has_leaf":true,
"temperature_scale":"C",
"target_temperature_f":72,
"target_temperature_c":21.5,
"target_temperature_high_f":80,
"target_temperature_high_c":24.5,
"target_temperature_low_f":65,
"target_temperature_low_c":19.5,
"eco_temperature_high_f":80,
"eco_temperature_high_c":24.5,
"eco_temperature_low_f":65,
"eco_temperature_low_c":19.5,
"away_temperature_high_f":80,
"away_temperature_high_c":24.5,
"away_temperature_low_f":65,
"away_temperature_low_c":19.5,
"hvac_mode":"heat",
"previous_hvac_mode":"heat",
"ambient_temperature_f":72,
"ambient_temperature_c":21.5,
"humidity":40,
"hvac_state":"heating",
"where_id":"UNCBGUnN24...",
"is_locked":true,
"locked_temp_min_f":65,
"locked_temp_max_f":80,
"locked_temp_min_c":19.5,
"locked_temp_max_c":24.5,
"label":"Pat's room",
"where_name":"Hallway",
"sunlight_correction_enabled":true,
"sunlight_correction_active":true,
"fan_timer_duration":"15",
"time_to_target":"~15",
"time_to_target_training":"training"
}
},
"smoke_co_alarms":{
"RTMTKxsQTCxzVcsySOHPxKoF4OyCifrs":{
"device_id":"RTMTKxsQTCxzVcsySOHPxKoF4OyCifrs",
"locale":"en-US",
"software_version":"1.01",
"structure_id":"VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw",
"name":"Hallway (upstairs)",
"name_long":"Hallway Protect (upstairs)",
"last_connection":"2016-10-31T23:59:59.000Z",
"is_online":true,
"battery_health":"ok",
"co_alarm_state":"ok",
"smoke_alarm_state":"ok",
"is_manual_test_active":true,
"last_manual_test_time":"2016-10-31T23:59:59.000Z",
"ui_color_state":"gray",
"where_id":"UNCBGUnN24...",
"where_name":"Hallway"
}
},
"cameras":{
"awJo6rH0IldT2YlIVtYaGQ":{
"device_id":"awJo6rH...",
"software_version":"4.0",
"structure_id":"VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw",
"where_id":"d6reb_OZTM...",
"where_name":"Hallway",
"name":"Hallway (upstairs)",
"name_long":"Hallway Camera (upstairs)",
"is_online":true,
"is_streaming":true,
"is_audio_input_enabled":true,
"last_is_online_change":"2016-12-29T18:42:00.000Z",
"is_video_history_enabled":true,
"web_url":"https://home.nest.com/cameras/device_id?auth=access_token",
"app_url":"nestmobile://cameras/device_id?auth=access_token",
"is_public_share_enabled":true,
"activity_zones":[
{
"name":"Walkway",
"id":"244083"
},
{
"name":"Walkway2",
"id2":"244084"
}
],
"public_share_url":"https://video.nest.com/live/STRING1?STRING2",
"snapshot_url":"STRING1/device_id/STRING2?auth=access_token",
"last_event":{
"has_sound":true,
"has_motion":true,
"has_person":true,
"start_time":"2016-12-29T00:00:00.000Z",
"end_time":"2016-12-29T18:42:00.000Z",
"urls_expire_time":"2016-10-31T23:59:59.000Z",
"web_url":"https://home.nest.com/cameras/device_id/cuepoints/STRING?auth=access_token",
"app_url":"nestmobile://cameras/device_id/cuepoints/STRING?auth=access_token",
"image_url":"STRING1/device_id/STRING2?auth=access_token",
"animated_image_url":"STRING1/device_id/STRING2?auth=access_token",
"activity_zone_ids":[
"244083",
"244084"
]
}
}
}
},
"structures":{
"VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw":{
"structure_id":"VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw",
"thermostats":[
"peyiJNo0IldT2YlIVtYaGQ",
"ggfgfdgrgrgg"
],
"smoke_co_alarms":[
"RTMTKxsQTCxzVcsySOHPxKoF4OyCifrs",
"ddddddddddd"
],
"cameras":[
"awJo6r...",
"ddddddssssssss"
],
"away":"home",
"name":"Home",
"country_code":"US",
"postal_code":"94304",
"peak_period_start_time":"2016-10-31T23:59:59.000Z",
"peak_period_end_time":"2016-10-31T23:59:59.000Z",
"time_zone":"America/Los_Angeles",
"eta":{
"trip_id":"myTripHome1024",
"estimated_arrival_window_begin":"2016-10-31T22:42:59.000Z",
"estimated_arrival_window_end":"2016-10-31T23:59:59.000Z"
},
"eta_begin":"2016-08-04T13:21:37-07:00",
"co_alarm_state":"ok",
"smoke_alarm_state":"ok",
"rhr_enrollment":true,
"wwn_security_state":"ok",
"wheres":{
"Fqp6wJI...":{
"where_id":"Fqp6wJI...",
"name":"Bedroom"
}
}
}
}
}
程式碼
package wmdevice
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions._
import org.apache.spark.sql.streaming.OutputMode
import org.apache.spark.sql.types._
object CamerasStructedStreaming {
def main(args: Array[String]) {
val spark = SparkSession
.builder
.appName("Camelia")
.master("local[*]")
.getOrCreate()
val schema = new StructType()
.add("metadata", new StructType()
.add("access_token", StringType)
.add("client_version", IntegerType))
.add("devices", new StructType()
.add("thermostats", MapType(StringType, new StructType()
.add("device_id", StringType)
.add("locale", StringType)
.add("software_version", StringType)
.add("structure_id", StringType)
.add("name", StringType)
.add("name_long", StringType)
.add("last_connection", TimestampType)
.add("is_online", BooleanType)
.add("can_cool", BooleanType)
.add("can_heat", BooleanType)
.add("is_using_emergency_heat", BooleanType)
.add("has_fan", BooleanType)
.add("fan_timer_active", BooleanType)
.add("fan_timer_timeout", TimestampType)
.add("has_leaf", BooleanType)
.add("temperature_scale", StringType)
.add("target_temperature_f", StringType)
.add("target_temperature_c", StringType)
.add("target_temperature_high_f", StringType)
.add("target_temperature_high_c", StringType)
.add("target_temperature_low_f", StringType)
.add("target_temperature_low_c", StringType)
.add("eco_temperature_high_f", StringType)
.add("eco_temperature_high_c", StringType)
.add("eco_temperature_low_f", StringType)
.add("eco_temperature_low_c", StringType)
.add("away_temperature_high_f", StringType)
.add("away_temperature_high_c", StringType)
.add("away_temperature_low_f", StringType)
.add("away_temperature_low_c", StringType)
.add("hvac_mode", StringType)
.add("previous_hvac_mode", StringType)
.add("ambient_temperature_f", StringType)
.add("ambient_temperature_c", StringType)
.add("humidity", StringType)
.add("hvac_state", StringType)
.add("where_id", StringType)
.add("is_locked", BooleanType)
.add("locked_temp_min_f", StringType)
.add("locked_temp_max_f", StringType)
.add("locked_temp_min_c", StringType)
.add("locked_temp_max_c", StringType)
.add("label", StringType)
.add("where_name", StringType)
.add("sunlight_correction_enabled", BooleanType)
.add("sunlight_correction_active", BooleanType)
.add("fan_timer_duration", StringType)
.add("time_to_target", StringType)
.add("time_to_target_training", StringType))
)
.add("smoke_co_alarms", MapType(StringType, new StructType()
.add("device_id", StringType)
.add("locale", StringType)
.add("software_version", StringType)
.add("structure_id", StringType)
.add("name", StringType)
.add("name_long", StringType)
.add("last_connection", TimestampType)
.add("is_online", BooleanType)
.add("battery_health", StringType)
.add("co_alarm_state", StringType)
.add("smoke_alarm_state", StringType)
.add("is_manual_test_active", BooleanType)
.add("last_manual_test_time", TimestampType)
.add("ui_color_state", StringType)
.add("where_id", StringType)
.add("where_name", StringType))
)
.add("cameras", MapType(StringType, new StructType()
.add("device_id", StringType)
.add("software_version", StringType)
.add("structure_id", StringType)
.add("where_id", StringType)
.add("where_name", StringType)
.add("name", StringType)
.add("name_long", StringType)
.add("is_online", BooleanType)
.add("is_streaming", BooleanType)
.add("is_audio_input_enabled", BooleanType)
.add("last_is_online_change", TimestampType)
.add("is_video_history_enabled", BooleanType)
.add("web_url", StringType)
.add("app_url", StringType)
.add("is_public_share_enabled", BooleanType)
.add("activity_zones", ArrayType(new StructType().add("name", StringType).add("id", StringType), true))
.add("public_share_url", StringType)
.add("snapshot_url", StringType)
.add("last_event", new StructType()
.add("has_sound", BooleanType)
.add("has_motion", BooleanType)
.add("has_person", BooleanType)
.add("start_time", TimestampType)
.add("end_time", TimestampType)
.add("urls_expire_time", TimestampType)
.add("web_url", StringType)
.add("app_url", StringType)
.add("image_url", StringType)
.add("animated_image_url", StringType)
.add("activity_zone_ids", ArrayType(StringType, true))
)
)
)
)
.add("structures", MapType(StringType, new StructType()
.add("structure_id", StringType)
.add("thermostats", ArrayType(StringType, true))
.add("smoke_co_alarms", ArrayType(StringType, true))
.add("cameras", ArrayType(StringType, true))
.add("away", StringType)
.add("name", StringType)
.add("country_code", StringType)
.add("postal_code", StringType)
.add("peak_period_start_time", TimestampType)
.add("peak_period_end_time", TimestampType)
.add("time_zone", StringType)
.add("eta", new StructType()
.add("trip_id", StringType)
.add("estimated_arrival_window_begin", TimestampType)
.add("estimated_arrival_window_end", TimestampType)
)
.add("eta_begin", TimestampType)
.add("co_alarm_state", StringType)
.add("smoke_alarm_state", StringType)
.add("rhr_enrollment", BooleanType)
.add("wwn_security_state", StringType)
.add("wheres", MapType(StringType, new StructType()
.add("where_id", StringType)
.add("name", StringType))
))
)
val nestTimestampFormat = "yyyy-MM-dd'T'HH:mm:ss.sss'Z'"
val jsonOptions = Map("timestampFormat" -> nestTimestampFormat)
val parsed = spark.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "net-logs")
.option("startingOffsets", "earliest")
.load()
.select(from_json(col("value").cast("string"), schema, jsonOptions).alias("parsed_value"))
import spark.implicits._
val camera = parsed
.select(explode($"parsed_value.devices.cameras"))
.select("value.*")
camera.printSchema()
val sightings = camera
.select("device_id", "last_event.has_person", "last_event.start_time")
val console = sightings.writeStream
.format("console")
.outputMode(OutputMode.Append())
val query = console.start()
query.awaitTermination()
}
}
JDBCSink
import java.sql._
import org.apache.spark.sql.{ForeachWriter, Row}
class JDBCSink(url:String, user:String, pwd:String) extends ForeachWriter[Row] {
val driver = "com.mysql.jdbc.Driver"
var connection:Connection = _
var statement:Statement = _
def open(partitionId: Long,version: Long): Boolean = {
Class.forName(driver)
connection = DriverManager.getConnection(url, user, pwd)
statement = connection.createStatement
true
}
def process(value: Row): Unit = {
statement.executeUpdate("INSERT INTO carema " +
"VALUES (" + value.get(0) + "," + value.get(1) + "," + value.get(2) + ")")
}
def close(errorOrNull: Throwable): Unit = {
connection.close
}
}
寫資料庫
// 寫入資料庫
val url="jdbc:mysql://127.0.0.1:6606/test?useUnicode=true&characterEncoding=utf-8&autoReconnect=true&failOverReadOnly=false&useSSL=false"
val user ="root"
val pwd = "111608"
val writer = new JDBCSink(url,user, pwd)
val query =
sightings
.writeStream
.foreach(writer)
.outputMode("update")
.trigger(Trigger.ProcessingTime("25 seconds"))
.start()
query.awaitTermination()
one more example
json
{
"createTime" : 1536571926,
"event" : {
"frequency" : -1,
"info" : {
"VCU_VacmPumpSta" : {
"diff_time" : [ 2, 11 ],
"value" : [ 1, 0 ]
}
},
"startTime" : -1
},
"iccid" : "89860117750045560712",
"signal1s" : {
"frequency" : 1,
"info" : {
"APA_DistToparkslot" : [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
"APA_Process_bar" : [ 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127, 127 ],
"BMS_ActlExchgCurnt" : [
10016,
10016,
10021,
10021,
10021,
10021,
10012,
10012,
10012,
10012,
10012,
10007,
10007
],
"BMS_BatSOC_Actl" : [ 355, 355, 355, 355, 355, 355, 355, 355, 355, 355, 355, 355, 355 ],
"BMS_BatSOC_Rpt" : [ 355, 355, 355, 355, 355, 355, 355, 355, 355, 355, 355, 355, 355 ],
"BMS_IsoResistance" : [ 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120 ],
"ESC_VehicleSpeed" : [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
"HU_TargetSOC" : [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
"ICU_DisplayVehicleSpeed" : [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
"ICU_ICUTotalOdometer" : [
3252,
3252,
3252,
3252,
3252,
3252,
3252,
3252,
3252,
3252,
3252,
3252,
3252
],
"LateralACC" : [ 201, 202, 201, 201, 201, 201, 201, 202, 201, 201, 202, 200, 201 ],
"LongitudeACC" : [ 124, 124, 124, 124, 124, 124, 124, 124, 124, 124, 124, 124, 124 ],
"SAS_Angle" : [
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767
],
"SAS_RotSpeed" : [
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767,
32767
],
"VCU_AcclPedalPos" : [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
"VCU_ActlMotorRotateSpd" : [
10000,
10000,
10000,
10000,
10000,
10000,
10000,
10000,
10000,
10000,
10000,
10000,
10000
],
"VCU_Actl_MotorRotateSpd" : [
16384,
16384,
16384,
16384,
16384,
16384,
16384,
16384,
16384,
16384,
16384,
16384,
16384
],
"VCU_Actl_MotorTorque" : [
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000
],
"VCU_BrkPedalPos" : [ 2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 2, 1, 2 ],
"VCU_DrvRangeDistEst" : [ 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63 ],
"VCU_DrvReq_MotorTorq" : [
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000,
2000
],
"VCU_MotorActualPower" : [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
"VCU_VhclPwrCnsmpActl" : [ 209, 209, 209, 209, 209, 209, 210, 210, 210, 210, 210, 210, 210 ],
"YRS_YawRate" : [
18000,
18000,
18000,
18000,
18000,
18000,
18000,
18000,
18000,
18000,
18005,
18000,
18000
]
},
"startTime" : 0
},
"signal30s" : {
"frequency" : 0.3333333432674408,
"info" : {
"AC_ActTotalPower" : [ 5 ],
"AC_EnvirTemp" : [ 136 ],
"AC_HVHActlPwr_HVAC" : [ 0 ],
"AC_HVHDeviceInternTemp_HVAC" : [ 63 ],
"AC_InAirPM25Value" : [ 36 ],
"AC_IndoorTemp" : [ 126 ],
"AC_OutAirQualityLevel" : [ 0 ],
"AC_RefrgHiPressure" : [ 8 ],
"AC_SeatHeatTemp_FL_Rsrv" : [ 0 ],
"AC_SeatHeatTemp_FR_Rsrv" : [ 0 ],
"BAT_HVHActlPwr" : [ -1 ],
"BAT_HVHDeviceInternTemp" : [ -1 ],
"BAT_HighVolDCTolalPwr" : [ -1 ],
"BAT_PumpSpeedDutyRequest" : [ -1 ],
"BMS_AuxHeatReqPower_Reserved" : [ 0 ],
"BMS_BatCapacity" : [ 198 ],
"BMS_BatSOH" : [ 1000 ],
"BMS_BatteryDTC_Num" : [ 1 ],
"BMS_BatteryDTC_list" : [
[ 13698951 ]
],
"BMS_BatterySubSysCod" : [ 1 ],
"BMS_BatterySubSysNum" : [ 1 ],
"BMS_BatteryType" : [ 6 ],
"BMS_CellVol" : [
[
3614,
3614,
3613,
3614,
3614,
3614,
3613,
3613,
3613,
3613,
3614,
3613,
3614,
3615,
3615,
3614,
3614,
3614,
3614,
3614,
3613,
3614,
3614,
3614,
3614,
3614,
3614,
3614,
3613,
3613,
3611,
3613,
3614,
3614,
3614,
3615,
3613,
3613,
3614,
3614,
3614,
3614,
3614,
3614,
3614,
3614,
3614,
3614,
3614,
3615,
3613,
3614,
3614,
3614,
3615,
3614,
3614,
3614,
3614,
3615,
3614,
3615,
3614,
3615,
3614,
3615,
3615,
3615,
3614,
3614,
3613,
3614,
3614,
3614,
3614,
3614,
3614,
3615,
3614,
3614,
3613,
3614,
3613,
3614,
3614,
3614,
3614,
3614,
3614,
3614
]
],
"BMS_CellVolAve" : [ 3613 ],
"BMS_CellVolMax" : [ 3615 ],
"BMS_CellVolMin" : [ 3611 ],
"BMS_ContactorTempAve_DCCharger" : [ 70 ],
"BMS_ContactorTempAve_Negative" : [ 73 ],
"BMS_ContactorTempAve_Positive" : [ 72 ],
"BMS_DCS_ActlChrgCurrent" : [ 0 ],
"BMS_DCS_ActlChrgPower" : [ 0 ],
"BMS_DCS_ActlChrgVoltage" : [ 0 ],
"BMS_DC_AC_RemChrgTime" : [ 600 ],
"BMS_ESS_InletColantActtemp" : [ 69 ],
"BMS_ESS_InletColanttargettemp" : [ 70 ],
"BMS_ESS_outletColantActtemp" : [ 70 ],
"BMS_HVBatActlVoltage" : [ 3252 ],
"BMS_HVBatCellTempAve" : [ 68 ],
"BMS_HVBatCellTempMax" : [ 69 ],
"BMS_HVBatCellTempMin" : [ 68 ],
"BMS_HVcppltnTempAve" : [ 69 ],
"BMS_HVcppltnTempMin" : [ 68 ],
"BMS_HVcppltnTempmax" : [ 70 ],
"BMS_MaxCellTemp" : [ 100 ],
"BMS_MaxCellVol" : [ 4310 ],
"BMS_MaxConDisCurnt" : [ 2000 ],
"BMS_MaxInstanDisCurnt" : [ 3920 ],
"BMS_MaxTempProbeCod" : [ 0 ],
"BMS_MaxVolCellCod" : [ 14 ],
"BMS_MinCellTemp" : [ 15 ],
"BMS_MinCellVol" : [ 3050 ],
"BMS_MinTempProbeCod" : [ 4 ],
"BMS_MinVolCellCod" : [ 30 ],
"BMS_NomCellCap" : [ 62 ],
"BMS_PwrRecupMaxConChrgCurnt" : [ 1860 ],
"BMS_PwrRecupMaxInstanChrgCurnt" : [ 3000 ],
"BMS_TempProbe" : [
[
89,
89,
89,
89,
88,
89,
88,
89,
88,
89,
88,
89,
89,
89,
88,
89,
88,
89
]
],
"BMS_TotalCellNo" : [ 90 ],
"BMS_TotalTempProbe" : [ 18 ],
"GPS_Heading" : [ 0 ],
"GPS_Latitude" : [ 0 ],
"GPS_Longitude" : [ 0 ],
"GPS_Speed" : [ 0 ],
"ICU_AverageVehicleSpeed" : [ 0 ],
"ICU_ICUTripAOdometer" : [ 0 ],
"ICU_ICUTripBOdometer" : [ 0 ],
"ICU_WashLiquidLevelWarn" : [ 0 ],
"ICU_drive_time" : [ 0 ],
"PTG_DoorOpenRatio" : [ 0 ],
"TPMS_PressureValue_FL" : [ 255 ],
"TPMS_PressureValue_FR" : [ 255 ],
"TPMS_PressureValue_RL" : [ 255 ],
"TPMS_PressureValue_RR" : [ 255 ],
"TPMS_TireTempValue_FL" : [ 255 ],
"TPMS_TireTempValue_FR" : [ 255 ],
"TPMS_TireTempValue_RL" : [ 255 ],
"TPMS_TireTempValue_RR" : [ 255 ],
"VCU_AtmosPressure" : [ 204 ],
"VCU_CruiseCtrTgtSpd" : [ 0 ],
"VCU_MCU_Input_Curr" : [ 1024 ],
"VCU_MCU_Input_Vol" : [ 648 ],
"VCU_MCU_Temp" : [ 72 ],
"VCU_MotorActualPower" : [ 0 ],
"VCU_MotorDTC_Num" : [ 1 ],
"VCU_MotorDTC_list" : [
[ 134293412 ]
],
"VCU_MotorTemp" : [ 74 ],
"VCU_PCUInletCooltTemp" : [ 72 ],
"VCU_PwrCoolFanSpdDuty" : [ 2 ],
"VCU_VacuumPressure" : [ 81 ],
"VCU_VhclPwrCnsmpAvrg" : [ 144 ]
},
"startTime" : 0
},
"tboxSn" : "VE70045900-J7U0077",
"version" : "0.1.0.0",
"vin" : "XXXX000000000XXXX"
}
定義 schema
package ohmysummer.pipeline.schema
import org.apache.spark.sql.types._
class DcSaleData {
val schema = new StructType()
.add("createTime", IntegerType)
.add("iccid", StringType)
.add("tboxSn", StringType)
.add("version", StringType)
.add("vin", StringType)
.add("event", new StructType()
.add("frequency", IntegerType)
.add("info", new StructType()
.add("VCU_VacmPumpSta", new StructType()
.add("diff_time", ArrayType(IntegerType))
.add("value", ArrayType(IntegerType))
))
.add("startTime", IntegerType))
.add("signal1s",new StructType()
.add("frequency", IntegerType)
.add("info", new StructType()
.add("APA_DistToparkslot", ArrayType(IntegerType, true), true)
.add("APA_Process_bar", ArrayType(IntegerType, true), true)
.add("BMS_ActlExchgCurnt", ArrayType(IntegerType, true), true)
.add("BMS_BatSOC_Actl", ArrayType(IntegerType, true), true)
.add("BMS_BatSOC_Rpt", ArrayType(IntegerType, true), true)
.add("BMS_IsoResistance", ArrayType(IntegerType, true), true)
.add("ESC_VehicleSpeed", ArrayType(IntegerType, true), true)
.add("HU_TargetSOC", ArrayType(IntegerType, true), true)
.add("ICU_DisplayVehicleSpeed", ArrayType(IntegerType, true), true)
.add("ICU_ICUTotalOdometer", ArrayType(IntegerType, true), true)
.add("LateralACC", ArrayType(IntegerType, true), true)
.add("LongitudeACC", ArrayType(IntegerType, true), true)
.add("SAS_Angle", ArrayType(IntegerType, true), true)
.add("SAS_RotSpeed", ArrayType(IntegerType, true), true)
.add("VCU_AcclPedalPos", ArrayType(IntegerType, true), true)
.add("VCU_ActlMotorRotateSpd", ArrayType(IntegerType, true), true)
.add("VCU_Actl_MotorRotateSpd", ArrayType(IntegerType, true), true)
.add("VCU_Actl_MotorTorque", ArrayType(IntegerType, true), true)
.add("VCU_BrkPedalPos", ArrayType(IntegerType, true), true)
.add("VCU_DrvRangeDistEst", ArrayType(IntegerType, true), true)
.add("VCU_DrvReq_MotorTorq", ArrayType(IntegerType, true), true)
.add("VCU_MotorActualPower", ArrayType(IntegerType, true), true)
.add("VCU_VhclPwrCnsmpActl", ArrayType(IntegerType, true), true)
.add("YRS_YawRate", ArrayType(IntegerType, true), true)
)
.add("startTime", IntegerType))
.add("signal30s", new StructType()
.add("frequency", FloatType)
.add("info", new StructType()
.add("AC_ActTotalPower", ArrayType(IntegerType, true), true)
.add("AC_EnvirTemp", ArrayType(IntegerType, true), true)
.add("AC_HVHActlPwr_HVAC", ArrayType(IntegerType, true), true)
.add("AC_HVHDeviceInternTemp_HVAC", ArrayType(IntegerType, true), true)
.add("AC_InAirPM25Value", ArrayType(IntegerType, true), true)
.add("AC_IndoorTemp", ArrayType(IntegerType, true), true)
.add("AC_OutAirQualityLevel", ArrayType(IntegerType, true), true)
.add("AC_RefrgHiPressure", ArrayType(IntegerType, true), true)
.add("AC_SeatHeatTemp_FL_Rsrv", ArrayType(IntegerType, true), true)
.add("AC_SeatHeatTemp_FR_Rsrv", ArrayType(IntegerType, true), true)
.add("BAT_HVHActlPwr", ArrayType(IntegerType, true), true)
.add("BAT_HVHDeviceInternTemp", ArrayType(IntegerType, true), true)
.add("BAT_HighVolDCTolalPwr", ArrayType(IntegerType, true), true)
.add("BAT_PumpSpeedDutyRequest", ArrayType(IntegerType, true), true)
.add("BMS_AuxHeatReqPower_Reserved", ArrayType(IntegerType, true), true)
.add("BMS_BatCapacity", ArrayType(IntegerType, true), true)
.add("BMS_BatSOH", ArrayType(IntegerType, true), true)
.add("BMS_BatteryDTC_Num", ArrayType(IntegerType, true), true)
.add("BMS_BatteryDTC_list", ArrayType(ArrayType(IntegerType), true), true)
.add("BMS_BatterySubSysCod", ArrayType(IntegerType, true), true)
.add("BMS_BatterySubSysNum", ArrayType(IntegerType, true), true)
.add("BMS_BatteryType", ArrayType(IntegerType, true), true)
.add("BMS_CellVol", ArrayType(ArrayType(IntegerType), true), true)
.add("BMS_CellVolAve", ArrayType(IntegerType, true), true)
.add("BMS_CellVolMax", ArrayType(IntegerType, true), true)
.add("BMS_CellVolMin", ArrayType(IntegerType, true), true)
.add("BMS_ContactorTempAve_DCCharger", ArrayType(IntegerType, true), true)
.add("BMS_ContactorTempAve_Negative", ArrayType(IntegerType, true), true)
.add("BMS_ContactorTempAve_Positive", ArrayType(IntegerType, true), true)
.add("BMS_DCS_ActlChrgCurrent", ArrayType(IntegerType, true), true)
.add("BMS_DCS_ActlChrgPower", ArrayType(IntegerType, true), true)
.add("BMS_DCS_ActlChrgVoltage", ArrayType(IntegerType, true), true)
.add("BMS_DC_AC_RemChrgTime", ArrayType(IntegerType, true), true)
.add("BMS_ESS_InletColantActtemp", ArrayType(IntegerType, true), true)
.add("BMS_ESS_InletColanttargettemp", ArrayType(IntegerType, true), true)
.add("BMS_ESS_outletColantActtemp", ArrayType(IntegerType, true), true)
.add("BMS_HVBatActlVoltage", ArrayType(IntegerType, true), true)
.add("BMS_HVBatCellTempAve", ArrayType(IntegerType, true), true)
.add("BMS_HVBatCellTempMax", ArrayType(IntegerType, true), true)
.add("BMS_HVBatCellTempMin", ArrayType(IntegerType, true), true)
.add("BMS_HVcppltnTempAve", ArrayType(IntegerType, true), true)
.add("BMS_HVcppltnTempMin", ArrayType(IntegerType, true), true)
.add("BMS_HVcppltnTempmax", ArrayType(IntegerType, true), true)
.add("BMS_MaxCellTemp", ArrayType(IntegerType, true), true)
.add("BMS_MaxCellVol", ArrayType(IntegerType, true), true)
.add("BMS_MaxConDisCurnt", ArrayType(IntegerType, true), true)
.add("BMS_MaxInstanDisCurnt", ArrayType(IntegerType, true), true)
.add("BMS_MaxTempProbeCod", ArrayType(IntegerType, true), true)
.add("BMS_MaxVolCellCod", ArrayType(IntegerType, true), true)
.add("BMS_MinCellTemp", ArrayType(IntegerType, true), true)
.add("BMS_MinCellVol", ArrayType(IntegerType, true), true)
.add("BMS_MinTempProbeCod", ArrayType(IntegerType, true), true)
.add("BMS_MinVolCellCod", ArrayType(IntegerType, true), true)
.add("BMS_NomCellCap", ArrayType(IntegerType, true), true)
.add("BMS_PwrRecupMaxConChrgCurnt", ArrayType(IntegerType, true), true)
.add("BMS_PwrRecupMaxInstanChrgCurnt", ArrayType(IntegerType, true), true)
.add("BMS_TempProbe", ArrayType(ArrayType(IntegerType) , true), true)
.add("BMS_TotalCellNo", ArrayType(IntegerType, true), true)
.add("BMS_TotalTempProbe", ArrayType(IntegerType, true), true)
.add("GPS_Heading", ArrayType(IntegerType, true), true)
.add("GPS_Latitude", ArrayType(IntegerType, true), true)
.add("GPS_Longitude", ArrayType(IntegerType, true), true)
.add("GPS_Speed", ArrayType(IntegerType, true), true)
.add("ICU_AverageVehicleSpeed", ArrayType(IntegerType, true), true)
.add("ICU_ICUTripAOdometer", ArrayType(IntegerType, true), true)
.add("ICU_ICUTripBOdometer", ArrayType(IntegerType, true), true)
.add("ICU_WashLiquidLevelWarn", ArrayType(IntegerType, true), true)
.add("ICU_drive_time", ArrayType(IntegerType, true), true)
.add("PTG_DoorOpenRatio", ArrayType(IntegerType, true), true)
.add("TPMS_PressureValue_FL", ArrayType(IntegerType, true), true)
.add("TPMS_PressureValue_FR", ArrayType(IntegerType, true), true)
.add("TPMS_PressureValue_RL", ArrayType(IntegerType, true), true)
.add("TPMS_PressureValue_RR", ArrayType(IntegerType, true), true)
.add("TPMS_TireTempValue_FL", ArrayType(IntegerType, true), true)
.add("TPMS_TireTempValue_FR", ArrayType(IntegerType, true), true)
.add("TPMS_TireTempValue_RL", ArrayType(IntegerType, true), true)
.add("TPMS_TireTempValue_RR", ArrayType(IntegerType, true), true)
.add("VCU_AtmosPressure", ArrayType(IntegerType, true), true)
.add("VCU_CruiseCtrTgtSpd", ArrayType(IntegerType, true), true)
.add("VCU_MCU_Input_Curr", ArrayType(IntegerType, true), true)
.add("VCU_MCU_Input_Vol", ArrayType(IntegerType, true), true)
.add("VCU_MCU_Temp", ArrayType(IntegerType, true), true)
.add("VCU_MotorActualPower", ArrayType(IntegerType, true), true)
.add("VCU_MotorDTC_Num", ArrayType(IntegerType, true), true)
.add("VCU_MotorDTC_list", ArrayType(ArrayType(IntegerType) , true), true)
.add("VCU_MotorTemp", ArrayType(IntegerType, true), true)
.add("VCU_PCUInletCooltTemp", ArrayType(IntegerType, true), true)
.add("VCU_PwrCoolFanSpdDuty", ArrayType(IntegerType, true), true)
.add("VCU_VacuumPressure", ArrayType(IntegerType, true), true)
.add("VCU_VhclPwrCnsmpAvrg", ArrayType(IntegerType, true), true))
.add("startTime", IntegerType))
}
object DcSaleData {}
explode
explode 接收的引數是 Array 或 Map，如果是 Struct， 得先轉換為 Array:
package ohmysummer
import ohmysummer.pipeline.kafka.WmKafkaDeserializer
import ohmysummer.pipeline.schema.DcSaleData
import org.apache.spark.sql.{Dataset, SparkSession}
import org.apache.spark.sql.streaming.OutputMode
import org.apache.spark.sql.functions._
/**
* 從 Kafka 讀取 JSON 資料
* https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html
* https://stackoverflow.com/questions/43297973/how-to-read-records-in-json-format-from-kafka-using-structured-streaming
* https://stackoverflow.com/questions/48361177/spark-structured-streaming-kafka-convert-json-without-schema-infer-schema
* https://databricks.com/blog/2017/04/26/processing-data-in-apache-kafka-with-structured-streaming-in-apache-spark-2-2.html
* https://databricks.com/blog/2017/02/23/working-complex-data-formats-structured-streaming-apache-spark-2-1.html
*/
object SparkStructuredStreaming {
def main(args: Array[String]) {
val spark = SparkSession
.builder
.appName("ReadFromKafka")
.master("local[*]")
.getOrCreate()
object KafkaDeserializerWrapper {
val deser = new WmKafkaDeserializer
// val deser = new WmJsonDeserializer
}
spark.udf.register("deserialize", (topic: String, bytes: Array[Byte]) =>
KafkaDeserializerWrapper.deser.deserialize(topic, bytes)
)
val df = spark.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "dc-sale-data")
.option("startingOffsets", "earliest") // 測試環境使用最早的資料
.load()
import spark.implicits._
// 反序列化 value 中的位元組陣列, 得到原始 JSON
val result: Dataset[(String, String)] = df.selectExpr("CAST(key AS STRING)", """deserialize("dc-sale-data", value) AS message""")
.as[(String, String)]
val schema = (new DcSaleData).schema
val parsed = result.select($"key", from_json($"message", schema) as "data")
val event = parsed.select(explode(array($"data.signal1s.info"))).select("col.*")
event.printSchema()
val console = event.writeStream
.format("console")
.outputMode(OutputMode.Append())
val query = console.start()
query.awaitTermination()
}
}
如果解析出來是空的， 可能就是 schema 定義的問題，多半是欄位的型別弄錯了。
參考
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