MongoDB数据写入ES，SparkSQL读取ES的数据简单示例(Python)

怼烎@ 2022-03-19 02:00 618阅读 0赞

## MongoDB数据写入ES，SparkSQL读取ES的数据简单示例(Python) ##

#### 1.MongoDb数据写入ES代码示例 ####

#!/usr/bin/env python
    # -*- coding: utf-8 -*-
    import datetime
    
    import pymongo
    
    from elasticsearch import Elasticsearch
    
    if __name__ == '__main__':
        # mongodb数据读取
        client = pymongo.MongoClient(host='xxx.xxx.xxx.xxx', port=27017)
        mydb = client['admin']
        mydb.authenticate("user", "pwd")
        mydb = client['db']
        collection = mydb['collection']
    
        es = Elasticsearch("localhost")
    
        d = datetime.datetime.today()
    
        # mongodb 中的数据都是UTC时间，这里需要将时间转成UTC时间进行查询
        query = {'createTime': {'$gte': datetime.datetime(d.year, d.month, d.day) - datetime.timedelta(hours=8),
                                '$lt': datetime.datetime(d.year, d.month, d.day) + datetime.timedelta(hours=16)}}
    
        docs = []
    
        for i in collection.find(query):
    
            if len(docs) >= 2000:
                # 批量插入
                es.bulk(index="honor_data", doc_type="tmp", body=docs)
                del docs[:]
    
            # 剔除不要的字段
            i.pop("_id")
            i.pop("id")
            i.pop("filePath")
            i.pop("orderBy")
            i.pop("updateUser")
            i.pop("createUser")
            i.pop("honorUrl")
            i.pop("disabled")
            i.pop("isExpire")
    
            # 时间转换成字符串
            i["createTime"] = (i.get("createTime") + datetime.timedelta(hours=8)).strftime('%Y-%m-%d %H:%M:%S')
            i["updateTime"] = (i.get("updateTime") + datetime.timedelta(hours=8)).strftime('%Y-%m-%d %H:%M:%S')
            i["sys_time"] = datetime.datetime.today().strftime('%Y-%m-%d %H:%M:%S')
    
            docs.append('{"index":{"_id":"%s"}}' % i["uuid"])
            docs.append(i)
    
        # 批量写入es，honor_data/tmp
        es.bulk(index="honor_data", doc_type="tmp", body=docs)
        del docs[:]
    
        client.close()

#### 2.SparkSQL读取ES数据 ####

#!/usr/bin/env python
    # -*- coding: utf-8 -*-
    from pyspark.sql import SparkSession
    
    if __name__ == '__main__':
    
        # 指定spark.jars.packages的jar
        spark = SparkSession.builder \
            .appName("SparkOnEs") \
            .master("local") \
            .config('spark.jars.packages', 'org.elasticsearch:elasticsearch-spark-20_2.11:6.5.2') \
            .getOrCreate()
    
        # es.query 查询es中数据的条件
        df = spark.read.format("org.elasticsearch.spark.sql") \
            .option("es.nodes", "localhost") \
            .option("es.port", "9200") \
            .option("es.query", '{"query":{"match":{"channelName":"TXSK_ONLINETIME"}}}') \
            .load("honor_data/tmp")
    
        df.show()
    
        df.registerTempTable("tmp")
    
        # 这里不显示敏感数据的列
        df2 = spark.sql(
            "select channelName,uuid,createTime,updateTime,sys_time,honorData.resultStatusDesc,honorData.onlineTime,honorData.resultStatus from tmp")
    
        df2.show()
    
        spark.stop()

ES中存储的数据格式：

![image][]

SparkSQL读取的结果：

![image][image 1]

[image]: https://raw.githubusercontent.com/zhang3550545/image_center/master/image-2019/sparkones1.jpg
[image 1]: https://raw.githubusercontent.com/zhang3550545/image_center/master/image-2019/sparkones2.jpg