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country.py
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country.py
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# Databricks notebook source
# MAGIC %pip install wbgapi
# COMMAND ----------
import pandas as pd
import wbgapi as wb
# COMMAND ----------
df = wb.economy.DataFrame()
df
# COMMAND ----------
COL_NAME_MAP = {
"id": "country_code",
"name": "country_name",
"lendingType": "lending_type",
"incomeLevel": "income_level",
"capitalCity": "capital_city",
"aggregate": "is_aggregate",
}
COL_NAMES = [
"country_code",
"country_name",
"longitude",
"latitude",
"region",
"lending_type",
"income_level",
"capital_city",
"is_aggregate"
]
df_cleaned = df.reset_index().rename(columns=COL_NAME_MAP)[COL_NAMES]
df_cleaned
# COMMAND ----------
UC_CATALOG = "prd_mega"
SCHEMA = "indicator"
TABLE = "country"
sdf = spark.createDataFrame(df_cleaned)
# Write to UC
spark.sql(f"USE CATALOG {UC_CATALOG}")
spark.sql(f"CREATE SCHEMA IF NOT EXISTS {UC_CATALOG}.{SCHEMA}")
sdf.write.mode("overwrite").option("overwriteSchema", "true").saveAsTable(
f"{UC_CATALOG}.{SCHEMA}.{TABLE}"
)
# COMMAND ----------
# Write to hive_metastore
spark.sql(f"USE hive_metastore.{SCHEMA}")
sdf.write.mode("overwrite").option("overwriteSchema", "true").saveAsTable(TABLE)