|
| 1 | +import sys |
| 2 | + |
| 3 | +import boto3 |
| 4 | +from awsglue.context import GlueContext |
| 5 | +from awsglue.job import Job |
| 6 | +from awsglue.transforms import * |
| 7 | +from awsglue.utils import getResolvedOptions |
| 8 | +from pyspark.context import SparkContext |
| 9 | +from pyspark.sql import SparkSession |
| 10 | +from pyspark.sql.functions import col, concat, lit, when |
| 11 | +from pyspark.sql.types import IntegerType |
| 12 | + |
| 13 | +from scripts.helpers.helpers import ( |
| 14 | + PARTITION_KEYS, |
| 15 | + add_import_time_columns, |
| 16 | + clean_column_names, |
| 17 | + get_glue_env_var, |
| 18 | + get_latest_partitions, |
| 19 | + get_s3_subfolders, |
| 20 | +) |
| 21 | + |
| 22 | +s3_client = boto3.client("s3") |
| 23 | +sc = SparkContext.getOrCreate() |
| 24 | +spark = SparkSession.builder.getOrCreate() |
| 25 | +glue_context = GlueContext(sc) |
| 26 | + |
| 27 | +logger = glue_context.get_logger() |
| 28 | + |
| 29 | + |
| 30 | +def data_source_landing_to_raw(bucket_source, bucket_target, s3_prefix): |
| 31 | + logger.info("bucket_target" + bucket_target) |
| 32 | + logger.info("s3_prefix" + s3_prefix) |
| 33 | + data_source = spark.read.option("header", "true").csv( |
| 34 | + bucket_source + "/" + s3_prefix |
| 35 | + ) |
| 36 | + latest_data = get_latest_partitions(data_source) |
| 37 | + logger.info(f"latest_data: {latest_data}") |
| 38 | + |
| 39 | + logger.info(f"Retrieved data source from s3 path {bucket_source}/{s3_prefix}") |
| 40 | + |
| 41 | + data_frame = clean_column_names(latest_data) |
| 42 | + logger.info("Using Columns: " + str(data_frame.columns)) |
| 43 | + |
| 44 | + date_partition_formatted = ( |
| 45 | + data_frame.withColumn("import_month", col("import_month").cast(IntegerType())) |
| 46 | + .withColumn("import_day", col("import_day").cast(IntegerType())) |
| 47 | + .withColumn( |
| 48 | + "import_month", |
| 49 | + when( |
| 50 | + col("import_month") < 10, concat(lit("0"), col("import_month")) |
| 51 | + ).otherwise(col("import_month")), |
| 52 | + ) |
| 53 | + .withColumn( |
| 54 | + "import_day", |
| 55 | + when(col("import_day") < 10, concat(lit("0"), col("import_day"))).otherwise( |
| 56 | + col("import_day") |
| 57 | + ), |
| 58 | + ) |
| 59 | + ) |
| 60 | + |
| 61 | + date_partition_formatted.write.mode("append").partitionBy(*PARTITION_KEYS).parquet( |
| 62 | + bucket_target + "/" + s3_prefix |
| 63 | + ) |
| 64 | + |
| 65 | + |
| 66 | +args = getResolvedOptions(sys.argv, ["JOB_NAME"]) |
| 67 | + |
| 68 | +job = Job(glue_context) |
| 69 | +job.init(args["JOB_NAME"], args) |
| 70 | + |
| 71 | +s3_bucket_target = get_glue_env_var("s3_bucket_target", "") |
| 72 | +s3_prefix = get_glue_env_var("s3_prefix", "") |
| 73 | +s3_bucket_source = get_glue_env_var("s3_bucket_source", "") |
| 74 | + |
| 75 | +data_source_landing_to_raw( |
| 76 | + "s3://" + s3_bucket_source, "s3://" + s3_bucket_target, s3_prefix |
| 77 | +) |
| 78 | + |
| 79 | +job.commit() |
0 commit comments