repo_name stringclasses 5
values | repo_url stringclasses 5
values | repo_description stringclasses 3
values | repo_stars int64 6 15.8k | repo_forks int64 192 3.6k | repo_last_updated stringclasses 5
values | repo_created_at stringclasses 5
values | repo_size int64 513 2.13k | repo_license stringclasses 4
values | language stringclasses 2
values | text stringlengths 0 27.5k | avg_line_length float64 0 74.3 | max_line_length int64 0 652 | alphnanum_fraction float64 0 0.8 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import os
import logging
from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from google.cloud import storage
from airflow.providers.google.cloud.operators.bigquery import BigQueryCreateExternalTableOperat... | 32.423423 | 104 | 0.65031 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import os
from datetime import datetime
from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from ingest_script import ingest_callable
AIRFLOW_HOME = os.environ.get("AIRFLOW_HOME", "/opt/airflow/")
PG_HOST = os.getenv('PG_HOST')
PG_USER = os... | 25.327273 | 92 | 0.639945 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import os
from time import time
import pandas as pd
from sqlalchemy import create_engine
def ingest_callable(user, password, host, port, db, table_name, csv_file, execution_date):
print(table_name, csv_file, execution_date)
engine = create_engine(f'postgresql://{user}:{password}@{host}:{port}/{db}')
en... | 27.306122 | 90 | 0.6443 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import os
from datetime import datetime
from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from google.cloud import storage
PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "pivotal-surfer-336713")
BUCKET = ... | 36.421687 | 128 | 0.66087 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import os
import logging
from datetime import datetime
from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from google.cloud import storage
import pyarrow.csv as pv
import pyarrow.parquet as pq
PROJECT... | 32.393617 | 156 | 0.665127 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import os
import logging
from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.providers.google.cloud.operators.bigquery import BigQueryCreateExternalTableOperator, BigQueryInsertJobOperator
from airflow.providers.google.cloud.transfers.gcs_to_gcs import GCSToGCSOperator
PROJECT_ID = os.enviro... | 33.890244 | 124 | 0.58951 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | from confluent_kafka import Producer
import argparse
import csv
from typing import Dict
from time import sleep
from settings import CONFLUENT_CLOUD_CONFIG, \
GREEN_TAXI_TOPIC, FHV_TAXI_TOPIC, \
GREEN_TRIP_DATA_PATH, FHV_TRIP_DATA_PATH
class RideCSVProducer:
def __init__(self, probs: Dict, ride_type: str... | 32.819444 | 81 | 0.587921 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import pyspark.sql.types as T
INPUT_DATA_PATH = '../../resources/rides.csv'
BOOTSTRAP_SERVERS = 'localhost:9092'
TOPIC_WINDOWED_VENDOR_ID_COUNT = 'vendor_counts_windowed'
PRODUCE_TOPIC_RIDES_CSV = CONSUME_TOPIC_RIDES_CSV = 'rides_csv'
RIDE_SCHEMA = T.StructType(
[T.StructField("vendor_id", T.IntegerType()),
... | 34 | 63 | 0.691265 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | from pyspark.sql import SparkSession
import pyspark.sql.functions as F
from settings import CONFLUENT_CLOUD_CONFIG, GREEN_TAXI_TOPIC, FHV_TAXI_TOPIC, RIDES_TOPIC, ALL_RIDE_SCHEMA
def read_from_kafka(consume_topic: str):
# Spark Streaming DataFrame, connect to Kafka topic served at host in bootrap.servers option
... | 39.87 | 197 | 0.666911 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | #!/usr/bin/env python
# coding: utf-8
import os
import argparse
from time import time
import pandas as pd
from sqlalchemy import create_engine
def main(params):
user = params.user
password = params.password
host = params.host
port = params.port
db = params.db
table_name = params.table_nam... | 29.417722 | 115 | 0.642798 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import sys
import pandas as pd
print(sys.argv)
day = sys.argv[1]
# some fancy stuff with pandas
print(f'job finished successfully for day = {day}') | 12.909091 | 51 | 0.723684 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import io
import os
import requests
import pandas as pd
from google.cloud import storage
"""
Pre-reqs:
1. `pip install pandas pyarrow google-cloud-storage`
2. Set GOOGLE_APPLICATION_CREDENTIALS to your project/service-account key
3. Set GCP_GCS_BUCKET as your bucket or change default value of BUCKET
"""
# services =... | 30.671642 | 93 | 0.642621 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | #!/usr/bin/env python
# coding: utf-8
import argparse
import pyspark
from pyspark.sql import SparkSession
from pyspark.sql import functions as F
parser = argparse.ArgumentParser()
parser.add_argument('--input_green', required=True)
parser.add_argument('--input_yellow', required=True)
parser.add_argument('--output'... | 21.75 | 72 | 0.690224 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | #!/usr/bin/env python
# coding: utf-8
import argparse
import pyspark
from pyspark.sql import SparkSession
from pyspark.sql import functions as F
parser = argparse.ArgumentParser()
parser.add_argument('--input_green', required=True)
parser.add_argument('--input_yellow', required=True)
parser.add_argument('--output'... | 22.069565 | 88 | 0.690422 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import argparse
from typing import Dict, List
from kafka import KafkaConsumer
from settings import BOOTSTRAP_SERVERS, CONSUME_TOPIC_RIDES_CSV
class RideCSVConsumer:
def __init__(self, props: Dict):
self.consumer = KafkaConsumer(**props)
def consume_from_kafka(self, topics: List[str]):
self.c... | 35.25 | 83 | 0.59632 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import csv
from time import sleep
from typing import Dict
from kafka import KafkaProducer
from settings import BOOTSTRAP_SERVERS, INPUT_DATA_PATH, PRODUCE_TOPIC_RIDES_CSV
def delivery_report(err, msg):
if err is not None:
print("Delivery failed for record {}: {}".format(msg.key(), err))
return
... | 33.571429 | 104 | 0.574644 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | from typing import List, Dict
class RideRecord:
def __init__(self, arr: List[str]):
self.vendor_id = int(arr[0])
self.passenger_count = int(arr[1])
self.trip_distance = float(arr[2])
self.payment_type = int(arr[3])
self.total_amount = float(arr[4])
@classmethod
de... | 21.648649 | 60 | 0.540024 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | from typing import Dict
class RideRecordKey:
def __init__(self, vendor_id):
self.vendor_id = vendor_id
@classmethod
def from_dict(cls, d: Dict):
return cls(vendor_id=d['vendor_id'])
def __repr__(self):
return f'{self.__class__.__name__}: {self.__dict__}'
def dict_to_ride_re... | 20.04 | 65 | 0.619048 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | from typing import List, Dict
from decimal import Decimal
from datetime import datetime
class Ride:
def __init__(self, arr: List[str]):
self.vendor_id = arr[0]
self.tpep_pickup_datetime = datetime.strptime(arr[1], "%Y-%m-%d %H:%M:%S"),
self.tpep_dropoff_datetime = datetime.strptime(arr[2],... | 32.396226 | 84 | 0.520068 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import faust
from taxi_rides import TaxiRide
from faust import current_event
app = faust.App('datatalksclub.stream.v3', broker='kafka://localhost:9092', consumer_auto_offset_reset="earliest")
topic = app.topic('datatalkclub.yellow_taxi_ride.json', value_type=TaxiRide)
high_amount_rides = app.topic('datatalks.yellow_t... | 31.318182 | 114 | 0.701408 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import csv
from json import dumps
from kafka import KafkaProducer
from time import sleep
producer = KafkaProducer(bootstrap_servers=['localhost:9092'],
key_serializer=lambda x: dumps(x).encode('utf-8'),
value_serializer=lambda x: dumps(x).encode('utf-8'))
file = open... | 36 | 162 | 0.648173 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import faust
from taxi_rides import TaxiRide
app = faust.App('datatalksclub.stream.v2', broker='kafka://localhost:9092')
topic = app.topic('datatalkclub.yellow_taxi_ride.json', value_type=TaxiRide)
@app.agent(topic)
async def start_reading(records):
async for record in records:
print(record)
if __name... | 19.823529 | 76 | 0.694051 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import faust
from taxi_rides import TaxiRide
app = faust.App('datatalksclub.stream.v2', broker='kafka://localhost:9092')
topic = app.topic('datatalkclub.yellow_taxi_ride.json', value_type=TaxiRide)
vendor_rides = app.Table('vendor_rides', default=int)
@app.agent(topic)
async def process(stream):
async for even... | 23.833333 | 76 | 0.704036 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | import faust
class TaxiRide(faust.Record, validation=True):
vendorId: str
passenger_count: int
trip_distance: float
payment_type: int
total_amount: float
| 16.7 | 46 | 0.704545 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | from datetime import timedelta
import faust
from taxi_rides import TaxiRide
app = faust.App('datatalksclub.stream.v2', broker='kafka://localhost:9092')
topic = app.topic('datatalkclub.yellow_taxi_ride.json', value_type=TaxiRide)
vendor_rides = app.Table('vendor_rides_windowed', default=int).tumbling(
timedelta(m... | 23.26087 | 76 | 0.710952 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Python | from pyspark.sql import SparkSession
import pyspark.sql.functions as F
from settings import RIDE_SCHEMA, CONSUME_TOPIC_RIDES_CSV, TOPIC_WINDOWED_VENDOR_ID_COUNT
def read_from_kafka(consume_topic: str):
# Spark Streaming DataFrame, connect to Kafka topic served at host in bootrap.servers option
df_stream = sp... | 35.586207 | 115 | 0.65449 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | /**
* Autogenerated by Avro
*
* DO NOT EDIT DIRECTLY
*/
package schemaregistry;
import org.apache.avro.generic.GenericArray;
import org.apache.avro.specific.SpecificData;
import org.apache.avro.util.Utf8;
import org.apache.avro.message.BinaryMessageEncoder;
import org.apache.avro.message.BinaryMessageDecoder;
impo... | 29.533473 | 377 | 0.659381 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | /**
* Autogenerated by Avro
*
* DO NOT EDIT DIRECTLY
*/
package schemaregistry;
import org.apache.avro.generic.GenericArray;
import org.apache.avro.specific.SpecificData;
import org.apache.avro.util.Utf8;
import org.apache.avro.message.BinaryMessageEncoder;
import org.apache.avro.message.BinaryMessageDecoder;
impo... | 30.317073 | 462 | 0.657858 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | /**
* Autogenerated by Avro
*
* DO NOT EDIT DIRECTLY
*/
package schemaregistry;
import org.apache.avro.generic.GenericArray;
import org.apache.avro.specific.SpecificData;
import org.apache.avro.util.Utf8;
import org.apache.avro.message.BinaryMessageEncoder;
import org.apache.avro.message.BinaryMessageDecoder;
impo... | 30.607966 | 344 | 0.675975 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import com.opencsv.CSVReader;
import com.opencsv.exceptions.CsvException;
import io.confluent.kafka.serializers.AbstractKafkaAvroSerDeConfig;
import io.confluent.kafka.serializers.KafkaAvroSerializer;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.... | 44.767123 | 192 | 0.688323 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.example.data.Ride;
import java.time.Duration;
import java.t... | 42.631579 | 192 | 0.697104 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.Topology;
impor... | 42.175439 | 192 | 0.707724 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.Topology;
impor... | 50.922078 | 192 | 0.718039 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.Topology;
impor... | 41.983607 | 192 | 0.724151 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import com.opencsv.CSVReader;
import com.opencsv.exceptions.CsvException;
import org.apache.kafka.clients.producer.*;
import org.apache.kafka.streams.StreamsConfig;
import org.example.data.Ride;
import java.io.FileReader;
import java.io.IOException;
import java.time.LocalDateTime;
import java.uti... | 44.278689 | 192 | 0.682361 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import com.opencsv.exceptions.CsvException;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.example.data.PickupLocation;
import java.io.IOException;
import java.tim... | 47.577778 | 192 | 0.730892 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
public class Secrets {
public static final String KAFKA_CLUSTER_KEY = "REPLACE_WITH_YOUR_KAFKA_CLUSTER_KEY";
public static final String KAFKA_CLUSTER_SECRET = "REPLACE_WITH_YOUR_KAFKA_CLUSTER_SECRET";
public static final String SCHEMA_REGISTRY_KEY = "REPLACE_WITH_SCHEMA_REGISTRY_KEY";... | 37.181818 | 95 | 0.761337 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
public class Topics {
public static final String INPUT_RIDE_TOPIC = "rides";
public static final String INPUT_RIDE_LOCATION_TOPIC = "rides_location";
public static final String OUTPUT_TOPIC = "vendor_info";
}
| 29.5 | 76 | 0.73251 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example.customserdes;
import io.confluent.kafka.serializers.AbstractKafkaAvroSerDeConfig;
import io.confluent.kafka.serializers.KafkaJsonDeserializer;
import io.confluent.kafka.serializers.KafkaJsonSerializer;
import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde;
import org.apache.avro.specific.... | 37.325581 | 122 | 0.763206 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example.data;
import java.time.LocalDateTime;
public class PickupLocation {
public PickupLocation(long PULocationID, LocalDateTime tpep_pickup_datetime) {
this.PULocationID = PULocationID;
this.tpep_pickup_datetime = tpep_pickup_datetime;
}
public PickupLocation() {
}
... | 22.352941 | 82 | 0.724747 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example.data;
import java.nio.DoubleBuffer;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
public class Ride {
public Ride(String[] arr) {
VendorID = arr[0];
tpep_pickup_datetime = LocalDateTime.parse(arr[1], DateTimeFormatter.ofP... | 35.56 | 112 | 0.681445 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example.data;
import java.time.LocalDateTime;
public class VendorInfo {
public VendorInfo(String vendorID, long PULocationID, LocalDateTime pickupTime, LocalDateTime lastDropoffTime) {
VendorID = vendorID;
this.PULocationID = PULocationID;
this.pickupTime = pickupTime;
... | 23.590909 | 116 | 0.72037 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.internals.Topic;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.*;
import org.example.customserdes.CustomSerdes;
import org.example.data.PickupLocation;
import org.example.... | 44.460317 | 178 | 0.754803 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.*;
import org.example.customserdes.CustomSerdes;
import org.example.data.Ride;
import org.example.helper.DataGeneratorHelper;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeEach;
import ... | 37.7375 | 139 | 0.715623 |
data-engineering-zoomcamp | https://github.com/DataTalksClub/data-engineering-zoomcamp | Free Data Engineering course! | 15,757 | 3,602 | 2023-12-05 01:08:47+00:00 | 2021-10-21 09:32:50+00:00 | 1,561 | null | Java | package org.example.helper;
import org.example.data.PickupLocation;
import org.example.data.Ride;
import org.example.data.VendorInfo;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.List;
public class DataGeneratorHelper {
public static Ride generateRide() {
va... | 38 | 145 | 0.715286 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators import LoadDimensionOperator
from helpers import SqlQueries
def load_dimension_subdag(
parent_dag_name,
task_id,
redshift_conn_id,
sql_statement,
delet... | 23.333333 | 58 | 0.657064 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from datetime import datetime, timedelta
import os
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators import ( CreateTableOperator, StageToRedshiftOperator, LoadFactOperator,
LoadDimensionOperator, DataQualityOperator)
from helpers i... | 27.06962 | 172 | 0.657871 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | 0 | 0 | 0 | |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | import configparser
# CONFIG
config = configparser.ConfigParser()
config.read('dwh.cfg')
# DROP TABLES
staging_events_table_drop = "DROP TABle IF EXISTS staging_events;"
staging_songs_table_drop = "DROP TABLE IF EXISTS staging_songs;"
songplay_table_drop = "DROP TABLE IF EXISTS songplays;"
user_table_drop = "DROP T... | 23.429952 | 181 | 0.68038 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class CreateTableOperator(BaseOperator):
ui_color = '#358140'
@apply_defaults
def __init__(self, redshift_conn_id = "", *args, **kwargs):
super... | 26.7 | 80 | 0.651807 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class DataQualityOperator(BaseOperator):
ui_color = '#89DA59'
@apply_defaults
def __init__(self,
redshift_conn_id="",
tables =... | 36.823529 | 94 | 0.595331 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class LoadDimensionOperator(BaseOperator):
ui_color = '#80BD9E'
@apply_defaults
def __init__(self,
redshift_conn_id="",
sql_qu... | 36.65625 | 116 | 0.622924 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class LoadFactOperator(BaseOperator):
ui_color = '#F98866'
@apply_defaults
def __init__(self,
redshift_conn_id="",
sql_query =... | 27.416667 | 78 | 0.621145 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from airflow.contrib.hooks.aws_hook import AwsHook
class StageToRedshiftOperator(BaseOperator):
ui_color = '#358140'
copy_query = " COPY {} \
FROM '{}' \
... | 37.280702 | 141 | 0.577258 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | import configparser
from pathlib import Path
config = configparser.ConfigParser()
config.read_file(open(f"{Path(__file__).parents[0]}/config.cfg"))
api_key = config['KEYS']['API_KEY']
headers = {'Authorization': 'Bearer %s' % api_key} | 28.625 | 65 | 0.711864 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | # This is request module of this project
from request import Request
from auth import headers
import json
class BusinessSearch:
def __init__(self, term, location, price=None):
self._param = {'term' : term, 'location' : location}
if price:
self._param['price'] = price
self._base_... | 47.512821 | 139 | 0.615547 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | import psycopg2
import configparser
from pathlib import Path
from queries import create_business_schema, create_business_table
config = configparser.ConfigParser()
config.read_file(open(f"{Path(__file__).parents[0]}/config.cfg"))
class DatabaseDriver:
def __init__(self):
self._conn = psycopg2.connect("ho... | 30.8 | 123 | 0.685039 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | import configparser
from pathlib import Path
from businesssearch import BusinessSearch
from queries import create_business_schema, create_business_table, insert_business_table
from databasedriver import DatabaseDriver
import argparse
config = configparser.ConfigParser()
config.read_file(open(f"{Path(__file__).parents[... | 44.690476 | 148 | 0.657977 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | create_business_schema = """CREATE SCHEMA IF NOT EXISTS yelp;"""
create_business_table = """
CREATE TABLE IF NOT EXISTS yelp.business (
business_id varchar PRIMARY KEY,
business_name varchar,
image_url varchar,
url varchar,
review_count int,
categories varchar,
rating float,
latitude float,
longitude float,
... | 35.371429 | 124 | 0.505503 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | import requests
from auth import headers
import json
class Request:
def __init__(self):
self._header = headers
@staticmethod
def get_content(url, param):
response = requests.get(url, headers=headers, params=param)
if response.status_code == 200:
return json.loads(respo... | 27.875 | 90 | 0.635575 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | import configparser
import psycopg2
from sql_queries import copy_table_queries, insert_table_queries
def load_staging_tables(cur, conn):
for query in copy_table_queries:
cur.execute(query)
conn.commit()
def insert_tables(cur, conn):
for query in insert_table_queries:
cur.execute(quer... | 20.625 | 112 | 0.638205 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | import configparser
import psycopg2
from sql_queries import create_table_queries, drop_table_queries
def drop_tables(cur, conn):
for query in drop_table_queries:
cur.execute(query)
conn.commit()
def create_tables(cur, conn):
for query in create_table_queries:
cur.execute(query)
... | 20 | 112 | 0.636364 |
Udacity-Data-Engineering-Projects | https://github.com/san089/Udacity-Data-Engineering-Projects | Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development. | 1,219 | 433 | 2023-12-04 20:08:27+00:00 | 2020-01-20 22:50:03+00:00 | 2,128 | Other | Python | from create_tables import main as create_table_main
from etl import main as etl_main
if __name__ == "__main__":
create_table_main()
etl_main()
| 20.857143 | 51 | 0.664474 |
End of preview. Expand in Data Studio
Dataset Card for "Customizable-Code-Assistant-Data"
Dataset Summary
This dataset contains is a dummy Version of the Customizable Code Assistant Dataset.
Supported Tasks and Leaderboards
Customizable Code Assistant is a dataset for code completion. The task is to predict the next token in a code snippet. The dataset is designed to be customizable, so that it can be used for different programming languages and different code completion tasks.
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