Created
August 13, 2017 00:57
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from __future__ import print_function | |
import sys | |
import re | |
from operator import add | |
import pandas as pd | |
from pyspark.sql.types import StructField, StructType, StringType | |
from pyspark.sql import Row | |
from pyspark.sql.types import * | |
from pyspark.sql import SQLContext | |
import json | |
import boto | |
import boto3 | |
from boto.s3.key import Key | |
import boto.s3.connection | |
from pyspark.sql import SparkSession | |
from pyspark import SparkContext, SparkConf | |
from pyspark.ml.feature import MinMaxScaler | |
from pyspark.ml.linalg import Vectors, VectorUDT | |
from pyspark.sql.functions import * | |
import credentials | |
#aws keys | |
aws_key_id = credentials.aws['key_id'] | |
aws_key = credentials.aws['key'] | |
def main(): | |
conf = SparkConf().setAppName("first") | |
sc = SparkContext(conf=conf) | |
#print 40 * '-' | |
sc._jsc.hadoopConfiguration().set("fs.s3n.awsAccessKeyId",aws_key_id) | |
sc._jsc.hadoopConfiguration().set("fs.s3n.awsSecretAccessKey",aws_key) | |
config_dict = {"fs.s3n.awsAccessKeyId":aws_key_id, | |
"fs.s3n.awsSecretAccessKey":aws_key} | |
bucket = "project4capstones3" | |
prefix = "/2017/07/*/*/*" | |
filename = "s3n://{}/Trump/{}".format(bucket, prefix) | |
rdd = sc.hadoopFile(filename, | |
'org.apache.hadoop.mapred.TextInputFormat', | |
'org.apache.hadoop.io.Text', | |
'org.apache.hadoop.io.LongWritable', | |
conf=config_dict) | |
spark = SparkSession.builder.appName("PythonWordCount").config("spark.files.overwrite","true").getOrCreate() | |
df = spark.read.json(rdd.map(lambda x: x[1])) | |
data_rm_na = df.filter(df["status_id"]!='None') | |
features_of_interest = ["rt_status_user_followers_count",\ | |
'rt_status_user_friends_count',\ | |
'rt_status_user_statuses_count',\ | |
'rt_status_retweet_count',\ | |
'rt_status_user_listed_count',\ | |
'rt_status_user_id',\ | |
'rt_status_created_at',\ | |
'status_created_at',\ | |
'rt_status_user_name',\ | |
'rt_status_num_user_mentions',\ | |
'searched_names',\ | |
'rt_status_sentMag',\ | |
'rt_status_sentScore',\ | |
'rt_status_favorite_count',\ | |
'status_id'] | |
df_reduce= data_rm_na.select(features_of_interest) | |
df_reduce = df_reduce.withColumn("rt_status_user_followers_count", df_reduce["rt_status_user_followers_count"].cast(IntegerType())) | |
df_reduce = df_reduce.withColumn("rt_status_user_friends_count", df_reduce["rt_status_user_friends_count"].cast(IntegerType())) | |
df_reduce = df_reduce.withColumn("rt_status_user_statuses_count", df_reduce["rt_status_user_statuses_count"].cast(IntegerType())) | |
df_reduce = df_reduce.withColumn("rt_status_retweet_count", df_reduce["rt_status_retweet_count"].cast(IntegerType())) | |
df_reduce = df_reduce.withColumn("rt_status_user_listed_count", df_reduce["rt_status_user_listed_count"].cast(IntegerType())) | |
df_reduce = df_reduce.withColumn("rt_status_favorite_count", df_reduce["rt_status_favorite_count"].cast(IntegerType())) | |
df_reduce = df_reduce.withColumn("rt_status_num_user_mentions", df_reduce["rt_status_num_user_mentions"].cast(IntegerType())) | |
url_ = "jdbc:mysql://twittertalker1.csjkhjjygutf.us-east-1.rds.amazonaws.com:3306/innodb" | |
table_name_ = "retweet" | |
mode_ = "overwrite" | |
df_reduce.write.format("jdbc").option("url", url_)\ | |
.option("dbtable", table_name_)\ | |
.option("driver", "com.mysql.jdbc.Driver")\ | |
.option("user", "XXXXXX")\ | |
.option("password", "XXXXXXXX")\ | |
.mode(mode_)\ | |
.save() | |
if __name__ == "__main__": | |
main() |
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