On the EC2 instance, go to the workshop folder and run the ls command:
cd /home/ec2-user/workshop
ls -l .
The following list indicates the folder structure and the files that will be used during the workshop:
.
├── data
│ ├── employees.csv
│ ├── invoice-data2.csv
│ ├── invoice-data.csv
│ ├── logfile_medium1.csv
│ ├── logfile_medium2.csv
│ ├── logfile_small1.csv
│ └── logfile_stream.csv
├── ddbreplica_lambda.py
├── ddb-replication-role-arn.txt
├── gsi_city_dept.json
├── gsi_manager.json
├── iam-role-policy.json
├── iam-trust-relationship.json
├── lab_config.py
├── load_employees.py
├── load_invoice.py
├── load_logfile_parallel.py
├── load_logfile.py
├── query_city_dept.py
├── query_employees.py
├── query_index_invoiceandbilling.py
├── query_invoiceandbilling.py
├── query_responsecode.py
├── requirements.txt
├── scan_for_managers_gsi.py
├── scan_for_managers.py
├── scan_logfile_parallel.py
└── scan_logfile_simple.py
Python code:
JSON:
Text (used later in the lab):
Run the ls command to show the sample data files:
ls -l ./data
./data contents:
Note: The code provided is for instructional use only. It should not be used outside of this lab, and it is not fit for production use.