thijsheijden commented on issue #13218:
URL: https://github.com/apache/iceberg/issues/13218#issuecomment-2943420426
Sure, here is the entire piece of code:
```
import argparse
import os
import shutil
import pyspark
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--file_dir') # The data to process (Parquet
files directory)
parser.add_argument('-t', '--table') # The table name to output to
args = parser.parse_args()
conf = pyspark.SparkConf()
conf.setMaster('local[*]')
conf.set('spark.sql.catalog.iceberg_catalog',
'org.apache.iceberg.spark.SparkCatalog')
conf.set('spark.sql.catalog.iceberg_catalog.type', 'hadoop')
conf.set('spark.sql.catalog.iceberg_catalog.warehouse', 'data')
conf.set('spark.sql.parquet.outputTimestampType', 'TIMESTAMP_MICROS')
conf.set('spark.driver.memory', '10g')
conf.set('spark.jars.packages',
'org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:1.9.1')
conf.set('spark.sql.extensions',
'org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions')
spark = pyspark.sql.SparkSession.builder.config(conf=conf).getOrCreate()
sc = spark.sparkContext
sc.setLogLevel("ERROR")
spark.sql("USE iceberg_catalog")
spark.sql("CREATE NAMESPACE IF NOT EXISTS default")
spark.sql("USE NAMESPACE default")
# Load the batches of files to import
batches = os.listdir(args.file_dir)
first_file = os.path.join(args.file_dir, "batch_0",
os.listdir(os.path.join(args.file_dir, "batch_0"))[0])
# Create table using schema of the first file
df = spark.read.parquet(first_file)
empty_df = spark.createDataFrame([], df.schema)
empty_df.writeTo(args.table).create()
batch_idx = 1
for batch_dir in batches:
print(f"Adding batch {batch_idx}")
spark.sql(f"""
CALL iceberg_catalog.system.add_files(
table => 'default.{args.table}',
source_table => '`parquet`.`{os.path.join(args.file_dir,
batch_dir)}`',
parallelism => 6
)
""")
batch_idx += 1
main()
```
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