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Added scripts for exercise 5

This commit is contained in:
EC2 Default User 2024-05-19 13:00:28 +00:00
parent 9c95137819
commit 2936c9058c
4 changed files with 114 additions and 50 deletions
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39
labs/ab-etl-visual-raw-to-processed.py Normal file
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@ -0,0 +1,39 @@
import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
from awsglue import DynamicFrame
def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFrame:
for alias, frame in mapping.items():
frame.toDF().createOrReplaceTempView(alias)
result = spark.sql(query)
return DynamicFrame.fromDF(result, glueContext, transformation_ctx)
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args['JOB_NAME'], args)
# Script generated for node AWS Glue Data Catalog
AWSGlueDataCatalog_node1715504004627 = glueContext.create_dynamic_frame.from_catalog(database="datalake_raw_534534002841_ab_1201680", table_name="crawler_stockdata", transformation_ctx="AWSGlueDataCatalog_node1715504004627")
# Script generated for node SQL Query
SqlQuery1825 = '''
select year(cast(transaction_ts as timestamp)) as year,
month(cast(transaction_ts as timestamp)) as month,
day(cast(transaction_ts as timestamp)) as day,
hour(cast(transaction_ts as timestamp)) as hour,
transaction_ts, symbol, price, amount, dollar_amount, type
from myDataSource;
'''
SQLQuery_node1715504223461 = sparkSqlQuery(glueContext, query = SqlQuery1825, mapping = {"myDataSource":AWSGlueDataCatalog_node1715504004627}, transformation_ctx = "SQLQuery_node1715504223461")
# Script generated for node AWS Glue Data Catalog
AWSGlueDataCatalog_node1716060278270 = glueContext.write_dynamic_frame.from_catalog(frame=SQLQuery_node1715504223461, database="datalake_processed_534534002841_ab_1201680", table_name="processed_stockdata", additional_options={"enableUpdateCatalog": True, "updateBehavior": "UPDATE_IN_DATABASE", "partitionKeys": ["symbol", "year", "month", "day", "hour"]}, transformation_ctx="AWSGlueDataCatalog_node1716060278270")
job.commit()

53
labs/ab-visual-etl-proces-transformation.py Normal file
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@ -0,0 +1,53 @@
import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
from awsglue import DynamicFrame
def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFrame:
for alias, frame in mapping.items():
frame.toDF().createOrReplaceTempView(alias)
result = spark.sql(query)
return DynamicFrame.fromDF(result, glueContext, transformation_ctx)
def sparkUnion(glueContext, unionType, mapping, transformation_ctx) -> DynamicFrame:
for alias, frame in mapping.items():
frame.toDF().createOrReplaceTempView(alias)
result = spark.sql("(select * from source1) UNION " + unionType + " (select * from source2)")
return DynamicFrame.fromDF(result, glueContext, transformation_ctx)
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args['JOB_NAME'], args)
# Script generated for node AWS Glue Data Catalog
AWSGlueDataCatalog_node1716120307832 = glueContext.create_dynamic_frame.from_catalog(database="datalake_processed_534534002841_ab_1201680", table_name="agg_stockdata", transformation_ctx="AWSGlueDataCatalog_node1716120307832")
# Script generated for node AWS Glue Data Catalog
AWSGlueDataCatalog_node1716061298505 = glueContext.create_dynamic_frame.from_catalog(database="datalake_processed_534534002841_ab_1201680", table_name="processed_stockdata", transformation_ctx="AWSGlueDataCatalog_node1716061298505")
# Script generated for node Change Schema
ChangeSchema_node1716120318123 = ApplyMapping.apply(frame=AWSGlueDataCatalog_node1716120307832, mappings=[("total_volume", "double", "total_volume", "double"), ("total_dollars", "double", "total_dollars", "double"), ("total_cnt_of_transactions", "int", "total_cnt_of_transactions", "int"), ("type", "string", "type", "string"), ("symbol", "string", "symbol", "string"), ("year", "int", "year", "int"), ("month", "int", "month", "int"), ("day", "int", "day", "int")], transformation_ctx="ChangeSchema_node1716120318123")
# Script generated for node SQL Query
SqlQuery1998 = '''
select ROUND(SUM(amount), 2) as total_volume,
ROUND(SUM(dollar_amount), 2) as total_dollars,
COUNT(transaction_ts) as total_cnt_of_transactions,
type, symbol, year, month, day
from datalake_processed_534534002841_ab_1201680.processed_stockdata
group by symbol, year, month, day, type
order by symbol, day, type
'''
SQLQuery_node1716061397564 = sparkSqlQuery(glueContext, query = SqlQuery1998, mapping = {"myDataSource":AWSGlueDataCatalog_node1716061298505}, transformation_ctx = "SQLQuery_node1716061397564")
# Script generated for node Union
Union_node1716065407070 = sparkUnion(glueContext, unionType = "DISTINCT", mapping = {"source1": ChangeSchema_node1716120318123, "source2": SQLQuery_node1716061397564}, transformation_ctx = "Union_node1716065407070")
# Script generated for node AWS Glue Data Catalog
AWSGlueDataCatalog_node1716064742210 = glueContext.write_dynamic_frame.from_catalog(frame=Union_node1716065407070, database="datalake_processed_534534002841_ab_1201680", table_name="agg_stockdata", additional_options={"enableUpdateCatalog": True, "updateBehavior": "UPDATE_IN_DATABASE", "partitionKeys": ["symbol", "year", "month", "day"]}, transformation_ctx="AWSGlueDataCatalog_node1716064742210")
job.commit()

2
labs/terraform/terraform.tfstate
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@ -1,7 +1,7 @@
{
"version": 4,
"terraform_version": "1.8.1",
"serial": 212,
"serial": 276,
"lineage": "a77aaaba-b4f8-6adb-0387-8f0b98d722c2",
"outputs": {},
"resources": [],

70
labs/terraform/terraform.tfstate.backup
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@ -1,7 +1,7 @@
{
"version": 4,
"terraform_version": "1.8.1",
"serial": 196,
"serial": 260,
"lineage": "a77aaaba-b4f8-6adb-0387-8f0b98d722c2",
"outputs": {},
"resources": [
@ -43,7 +43,7 @@
"id": "development",
"name": "development",
"state": "ENABLED",
"tags": {},
"tags": null,
"tags_all": {}
},
"sensitive_attributes": [],
@ -82,8 +82,8 @@
"id": "534534002841:datalake_processed_534534002841_ab_1201680",
"location_uri": "",
"name": "datalake_processed_534534002841_ab_1201680",
"parameters": {},
"tags": {},
"parameters": null,
"tags": null,
"tags_all": {},
"target_database": []
},
@ -120,8 +120,8 @@
"id": "534534002841:datalake_raw_534534002841_ab_1201680",
"location_uri": "",
"name": "datalake_raw_534534002841_ab_1201680",
"parameters": {},
"tags": {},
"parameters": null,
"tags": null,
"tags_all": {},
"target_database": []
},
@ -141,7 +141,7 @@
"attributes": {
"arn": "arn:aws:glue:us-east-1:534534002841:crawler/gc-raw-534534002841-ab-1201680",
"catalog_target": [],
"classifiers": [],
"classifiers": null,
"configuration": "",
"database_name": "datalake_raw_534534002841_ab_1201680",
"delta_target": [],
@ -175,7 +175,7 @@
"connection_name": "",
"dlq_event_queue_arn": "",
"event_queue_arn": "",
"exclusions": [],
"exclusions": null,
"path": "s3://datalake-raw-534534002841-ab-1201680/raw-zone/stockdata/",
"sample_size": 0
}
@ -275,7 +275,7 @@
],
"snowflake_configuration": [],
"splunk_configuration": [],
"tags": {},
"tags": null,
"tags_all": {},
"timeouts": null,
"version_id": "1"
@ -365,9 +365,9 @@
"image_uri": "",
"invoke_arn": "arn:aws:apigateway:us-east-1:lambda:path/2015-03-31/functions/arn:aws:lambda:us-east-1:534534002841:function:etl-post-processing-534534002841-ab-1201680/invocations",
"kms_key_arn": "",
"last_modified": "2024-05-12T07:30:33.751+0000",
"last_modified": "2024-05-19T10:36:30.839+0000",
"layers": [
"arn:aws:lambda:us-east-1:534534002841:layer:aws_wrangler_534534002841_ab_1201680:4"
"arn:aws:lambda:us-east-1:534534002841:layer:aws_wrangler_534534002841_ab_1201680:6"
],
"logging_config": [
{
@ -396,7 +396,7 @@
"snap_start": [],
"source_code_hash": "DYklWA51/+hutwYtHutJg59rV7DY0LEgfp+ne8wgiSo=",
"source_code_size": 884,
"tags": {},
"tags": null,
"tags_all": {},
"timeout": 300,
"timeouts": null,
@ -425,15 +425,15 @@
{
"schema_version": 0,
"attributes": {
"arn": "arn:aws:lambda:us-east-1:534534002841:layer:aws_wrangler_534534002841_ab_1201680:4",
"compatible_architectures": [],
"arn": "arn:aws:lambda:us-east-1:534534002841:layer:aws_wrangler_534534002841_ab_1201680:6",
"compatible_architectures": null,
"compatible_runtimes": [
"python3.8"
],
"created_date": "2024-05-12T07:30:26.214+0000",
"created_date": "2024-05-19T10:36:30.504+0000",
"description": "",
"filename": "../lambda/awswrangler-layer-2.7.0-py3.8.zip",
"id": "arn:aws:lambda:us-east-1:534534002841:layer:aws_wrangler_534534002841_ab_1201680:4",
"id": "arn:aws:lambda:us-east-1:534534002841:layer:aws_wrangler_534534002841_ab_1201680:6",
"layer_arn": "arn:aws:lambda:us-east-1:534534002841:layer:aws_wrangler_534534002841_ab_1201680",
"layer_name": "aws_wrangler_534534002841_ab_1201680",
"license_info": "",
@ -445,7 +445,7 @@
"skip_destroy": false,
"source_code_hash": "C0YX/4auMnBs4J9JCDy1f7uc2GLF0vU7ppQgzffQiN4=",
"source_code_size": 43879070,
"version": "4"
"version": "6"
},
"sensitive_attributes": [],
"private": "bnVsbA=="
@ -514,25 +514,7 @@
],
"hosted_zone_id": "Z3AQBSTGFYJSTF",
"id": "athena-results-534534002841-ab-1201680",
"lifecycle_rule": [
{
"abort_incomplete_multipart_upload_days": 0,
"enabled": true,
"expiration": [
{
"date": "",
"days": 1,
"expired_object_delete_marker": false
}
],
"id": "standard-expiration",
"noncurrent_version_expiration": [],
"noncurrent_version_transition": [],
"prefix": "",
"tags": {},
"transition": []
}
],
"lifecycle_rule": [],
"logging": [],
"object_lock_configuration": [],
"object_lock_enabled": false,
@ -796,17 +778,7 @@
"bucket": "datalake-raw-534534002841-ab-1201680",
"eventbridge": false,
"id": "datalake-raw-534534002841-ab-1201680",
"lambda_function": [
{
"events": [
"s3:ObjectCreated:*"
],
"filter_prefix": "raw-zone/",
"filter_suffix": "",
"id": "tf-s3-lambda-20240512073033855700000001",
"lambda_function_arn": "arn:aws:lambda:us-east-1:534534002841:function:etl-post-processing-534534002841-ab-1201680"
}
],
"lambda_function": [],
"queue": [],
"topic": []
},
@ -839,12 +811,12 @@
"key_id": "",
"name": "s3_processed_bucket_name",
"overwrite": null,
"tags": {},
"tags": null,
"tags_all": {},
"tier": "Standard",
"type": "String",
"value": "datalake-processed-534534002841-ab-1201680",
"version": 3
"version": 1
},
"sensitive_attributes": [
[