SparkSql處理嵌套json數據
阿新 • • 發佈：2018-10-19
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一、數據準備：
{ "dc_id": "dc-101", "source": { "sensor-igauge": { "id": 10, "ip": "68.28.91.22", "description": "Sensor attached to the container ceilings", "temp":35, "c02_level": 1475, "geo": {"lat":38.00, "long":97.00} }, "sensor-ipad": {"id": 13, "ip": "67.185.72.1", "description": "Sensor ipad attached to carbon cylinders", "temp": 34, "c02_level": 1370, "geo": {"lat":47.41, "long":-122.00} }, "sensor-inest": { "id": 8, "ip": "208.109.163.218", "description": "Sensor attached to the factory ceilings", "temp": 40, "c02_level": 1346, "geo": {"lat":33.61, "long":-111.89} }, "sensor-istick": { "id": 5, "ip": "204.116.105.67", "description": "Sensor embedded in exhaust pipes in the ceilings", "temp": 40, "c02_level": 1574, "geo": {"lat":35.93, "long":-85.46} } } }
代碼示例：
package spark.project_1
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.{SparkConf, sql}
/**
* Author Mr. Guo
* Create 2018/10/19 - 14:36
*/
case class DeviceAlert(dcId: String, deviceType: String, ip: String, deviceId: Long, temp: Long, c02_level: Long,
lat: Double, lon: Double)
object dispose_json {
def main(args: Array[String]): Unit = {
val conf = new SparkConf()
val ssc = new sql.SparkSession
.Builder()
.config(conf)
.master("local[2]")
.appName("dispose_json")
.getOrCreate()
ssc.sparkContext.setLogLevel("error")
println("--------------------------------------------------------------------")
//導入隱式轉換
import ssc.implicits._
val dataDS1 = Seq(
"""
|{
|"dc_id": "dc-101",
|"source": {
| "sensor-igauge": {
| "id": 10,
| "ip": "68.28.91.22",
| "description": "Sensor attached to the container ceilings",
| "temp":35,
| "c02_level": 1475,
| "geo": {"lat":38.00, "long":97.00}
| },
| "sensor-ipad": {
| "id": 13,
| "ip": "67.185.72.1",
| "description": "Sensor ipad attached to carbon cylinders",
| "temp": 34,
| "c02_level": 1370,
| "geo": {"lat":47.41, "long":-122.00}
| },
| "sensor-inest": {
| "id": 8,
| "ip": "208.109.163.218",
| "description": "Sensor attached to the factory ceilings",
| "temp": 40,
| "c02_level": 1346,
| "geo": {"lat":33.61, "long":-111.89}
| },
| "sensor-istick": {
| "id": 5,
| "ip": "204.116.105.67",
| "description": "Sensor embedded in exhaust pipes in the ceilings",
| "temp": 40,
| "c02_level": 1574,
| "geo": {"lat":35.93, "long":-85.46}
| }
| }
|}
""".stripMargin).toDS()
//定義schema
val schema1 = new StructType()
.add("dc_id", StringType)
.add("source",
MapType(StringType,
new StructType()
.add("description", StringType)
.add("ip", StringType)
.add("id", LongType)
.add("temp", LongType)
.add("c02_level", LongType)
.add("geo",
new StructType()
.add("lat", DoubleType)
.add("long", DoubleType)
)
)
)
val df1 = ssc.read.schema(schema1).json(dataDS1.rdd)
df1.printSchema()
df1.show(false)
println("=======================================")
val explodeDF = df1.select($"dc_id", explode($"source"))
explodeDF.printSchema()
explodeDF.show(10, false)
println("=======================================")
val notifydevicesDS = explodeDF.select($"dc_id" as "dcId",
$"key" as "deviceType",
‘value.getItem("ip") as ‘ip,
‘value.getItem("id") as ‘deviceId,
‘value.getItem("c02_level") as ‘c02_level,
‘value.getItem("temp") as ‘temp,
‘value.getItem("geo").getItem("lat") as ‘lat,
‘value.getItem("geo").getItem("long") as ‘lon)
.as[DeviceAlert]
notifydevicesDS.printSchema()
notifydevicesDS.show(20, false)
ssc.stop()
二、數據準備
{ "devices": { "thermostats": { "peyiJNo0IldT2YlIVtYaGQ": { "device_id": "peyiJNo0IldT2YlIVtYaGQ", "locale": "en-US", "software_version": "4.0", "structure_id": "VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw", "where_name": "Hallway 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", "temperature_scale": "F", "target_temperature_f": 72, "target_temperature_high_f": 80, "target_temperature_low_f": 65, "eco_temperature_high_f": 80, "eco_temperature_low_f": 65, "away_temperature_high_f": 80, "away_temperature_low_f": 65, "hvac_mode": "heat", "humidity": 40, "hvac_state": "heating", "is_locked": true, "locked_temp_min_f": 65, "locked_temp_max_f": 80 } }, "smoke_co_alarms": { "RTMTKxsQTCxzVcsySOHPxKoF4OyCifrs": { "device_id": "RTMTKxsQTCxzVcsySOHPxKoF4OyCifrs", "locale": "en-US", "software_version": "1.01", "structure_id": "VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw", "where_name": "Jane‘s Room", "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" } }, "cameras": { "awJo6rH0IldT2YlIVtYaGQ": { "device_id": "awJo6rH", "software_version": "4.0", "structure_id": "VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw", "where_name": "Foyer", "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 }, "last_event": "2016-10-31T23:59:59.000Z" } } } }
代碼示例：
package spark.project_1
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.{SparkConf, sql}
/**
* Author Mr. Guo
* Create 2018/10/19 - 14:36
*/
case class DeviceAlert(dcId: String, deviceType: String, ip: String, deviceId: Long, temp: Long, c02_level: Long,
lat: Double, lon: Double)
object dispose_json {
def main(args: Array[String]): Unit = {
val conf = new SparkConf()
val ssc = new sql.SparkSession
.Builder()
.config(conf)
.master("local[2]")
.appName("dispose_json")
.getOrCreate()
ssc.sparkContext.setLogLevel("error")
println("--------------------------------------------------------------------")
//導入隱式轉換
import ssc.implicits._
val dataDS2 = Seq(
"""
|{
| "devices": {
| "thermostats": {
| "peyiJNo0IldT2YlIVtYaGQ": {
| "device_id": "peyiJNo0IldT2YlIVtYaGQ",
| "locale": "en-US",
| "software_version": "4.0",
| "structure_id": "VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw",
| "where_name": "Hallway 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",
| "temperature_scale": "F",
| "target_temperature_f": 72,
| "target_temperature_high_f": 80,
| "target_temperature_low_f": 65,
| "eco_temperature_high_f": 80,
| "eco_temperature_low_f": 65,
| "away_temperature_high_f": 80,
| "away_temperature_low_f": 65,
| "hvac_mode": "heat",
| "humidity": 40,
| "hvac_state": "heating",
| "is_locked": true,
| "locked_temp_min_f": 65,
| "locked_temp_max_f": 80
| }
| },
| "smoke_co_alarms": {
| "RTMTKxsQTCxzVcsySOHPxKoF4OyCifrs": {
| "device_id": "RTMTKxsQTCxzVcsySOHPxKoF4OyCifrs",
| "locale": "en-US",
| "software_version": "1.01",
| "structure_id": "VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw",
| "where_name": "Jane‘s Room",
| "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"
| }
| },
| "cameras": {
| "awJo6rH0IldT2YlIVtYaGQ": {
| "device_id": "awJo6rH",
| "software_version": "4.0",
| "structure_id": "VqFabWH21nwVyd4RWgJgNb292wa7hG_dUwo2i2SG7j3-BOLY0BA4sw",
| "where_name": "Foyer",
| "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 },
| "last_event": "2016-10-31T23:59:59.000Z"
| }
| }
| }
| }
""".stripMargin).toDS()
val schmea2 = new StructType()
.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("where_name", StringType)
.add("last_connection", StringType)
.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", StringType)
.add("temperature_scale", StringType)
.add("target_temperature_f", DoubleType)
.add("target_temperature_high_f", DoubleType)
.add("target_temperature_low_f", DoubleType)
.add("eco_temperature_high_f", DoubleType)
.add("eco_temperature_low_f", DoubleType)
.add("away_temperature_high_f", DoubleType)
.add("away_temperature_low_f", DoubleType)
.add("hvac_mode", StringType)
.add("humidity", DoubleType)
.add("hvac_state", StringType)
.add("is_locked", BooleanType)
.add("locked_temp_min_f", DoubleType)
.add("locked_temp_max_f", DoubleType)))
.add("smoke_co_alarms", MapType(StringType,
new StructType()
.add("device_id", StringType)
.add("locale", StringType)
.add("software_version", StringType)
.add("structure_id", StringType)
.add("where_name", StringType)
.add("last_connection", StringType)
.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", StringType)
.add("ui_color_state", StringType)))
.add("cameras", MapType(StringType,
new StructType()
.add("device_id", StringType)
.add("software_version", StringType)
.add("structure_id", StringType)
.add("where_name", StringType)
.add("is_online", BooleanType)
.add("is_streaming", BooleanType)
.add("is_audio_input_enabled", BooleanType)
.add("last_is_online_change", StringType)
.add("is_video_history_enabled", BooleanType)
.add("web_url", StringType)
.add("app_url", StringType)
.add("is_public_share_enabled", BooleanType)
.add("activity_zones",
new StructType()
.add("name", StringType)
.add("id", LongType))
.add("last_event", StringType))))
val df2 = ssc.read.schema(schmea2).json(dataDS2.rdd)
val stringJsonDF = df2.select(to_json(struct($"*"))).toDF("nestDevice")
val mapColumnsDF = df2.select($"devices".getItem("smoke_co_alarms").alias("smoke_alarms"),
$"devices".getItem("cameras").alias("cameras"),
$"devices".getItem("thermostats").alias("thermostats"))
val explodeThermostatsDF = mapColumnsDF.select(explode($"thermostats"))
val explodeCamerasDF = mapColumnsDF.select(explode($"cameras"))
val explodeSmokedAlarmsDF = df2.select(explode($"devices.smoke_co_alarms"))
explodeSmokedAlarmsDF.printSchema()
val thermostateDF =
explodeThermostatsDF.select($"value".getItem("device_id").alias("device_id"),
$"value".getItem("locale").alias("locale"),
$"value".getItem("where_name").alias("location"),
$"value".getItem("last_connection").alias("last_connection"),
$"value".getItem("humidity").alias("humidity"),
$"value".getItem("target_temperature_f").alias("target_temperature_f"),
$"value".getItem("hvac_mode").alias("mode"),
$"value".getItem("software_version").alias("version"))
val cameraDF =
explodeCamerasDF.select($"value".getItem("device_id").alias("device_id"),
$"value".getItem("where_name").alias("location"),
$"value".getItem("software_version").alias("version"),
$"value".getItem("activity_zones").getItem("name").alias("name"),
$"value".getItem("activity_zones").getItem("id").alias("id"))
val smokedAlarmsDF =
explodeSmokedAlarmsDF.select($"value".getItem("device_id").alias("device_id"),
$"value".getItem("where_name").alias("location"),
$"value".getItem("software_version").alias("version"),
$"value".getItem("last_connection").alias("last_connected"),
$"value".getItem("battery_health").alias("battery_health"))
cameraDF.show
val joineDFs = thermostateDF.join(cameraDF,"version")
joineDFs.show(10,false)
ssc.stop()
SparkSql處理嵌套json數據