soumilshah1995 commented on issue #7653:
URL: https://github.com/apache/hudi/issues/7653#issuecomment-1594545704
```
DYNAMODB_LOCK_TABLE_NAME = 'hudi-lock-table'
curr_session = boto3.session.Session()
curr_region = curr_session.region_name
def upsert_hudi_table(glue_database, table_name,
record_id, precomb_key, table_type, spark_df,
enable_partition, enable_cleaner, enable_hive_sync,
enable_dynamodb_lock,
use_sql_transformer, sql_transformer_query,
target_path, index_type, method='upsert'):
"""
Upserts a dataframe into a Hudi table.
Args:
glue_database (str): The name of the glue database.
table_name (str): The name of the Hudi table.
record_id (str): The name of the field in the dataframe that will be
used as the record key.
precomb_key (str): The name of the field in the dataframe that will
be used for pre-combine.
table_type (str): The Hudi table type (e.g., COPY_ON_WRITE,
MERGE_ON_READ).
spark_df (pyspark.sql.DataFrame): The dataframe to upsert.
enable_partition (bool): Whether or not to enable partitioning.
enable_cleaner (bool): Whether or not to enable data cleaning.
enable_hive_sync (bool): Whether or not to enable syncing with Hive.
use_sql_transformer (bool): Whether or not to use SQL to transform
the dataframe before upserting.
sql_transformer_query (str): The SQL query to use for data
transformation.
target_path (str): The path to the target Hudi table.
method (str): The Hudi write method to use (default is 'upsert').
index_type : BLOOM or GLOBAL_BLOOM
Returns:
None
"""
# These are the basic settings for the Hoodie table
hudi_final_settings = {
"hoodie.table.name": table_name,
"hoodie.datasource.write.table.type": table_type,
"hoodie.datasource.write.operation": method,
"hoodie.datasource.write.recordkey.field": record_id,
"hoodie.datasource.write.precombine.field": precomb_key,
}
# These settings enable syncing with Hive
hudi_hive_sync_settings = {
"hoodie.parquet.compression.codec": "gzip",
"hoodie.datasource.hive_sync.enable": "true",
"hoodie.datasource.hive_sync.database": glue_database,
"hoodie.datasource.hive_sync.table": table_name,
"hoodie.datasource.hive_sync.partition_extractor_class":
"org.apache.hudi.hive.MultiPartKeysValueExtractor",
"hoodie.datasource.hive_sync.use_jdbc": "false",
"hoodie.datasource.hive_sync.mode": "hms",
}
# These settings enable automatic cleaning of old data
hudi_cleaner_options = {
"hoodie.clean.automatic": "true",
"hoodie.clean.async": "true",
"hoodie.cleaner.policy": 'KEEP_LATEST_FILE_VERSIONS',
"hoodie.cleaner.fileversions.retained": "3",
"hoodie-conf hoodie.cleaner.parallelism": '200',
'hoodie.cleaner.commits.retained': 5
}
# These settings enable partitioning of the data
partition_settings = {
"hoodie.datasource.write.partitionpath.field":
args['PARTITON_FIELDS'],
"hoodie.datasource.hive_sync.partition_fields":
args['PARTITON_FIELDS'],
"hoodie.datasource.write.hive_style_partitioning": "true",
}
# Define a dictionary with the index settings for Hudi
hudi_index_settings = {
"hoodie.index.type": index_type, # Specify the index type for Hudi
}
hudi_dynamo_db_based_lock = {
'hoodie.write.concurrency.mode': 'optimistic_concurrency_control'
, 'hoodie.cleaner.policy.failed.writes': 'LAZY'
, 'hoodie.write.lock.provider':
'org.apache.hudi.aws.transaction.lock.DynamoDBBasedLockProvider'
, 'hoodie.write.lock.dynamodb.table': DYNAMODB_LOCK_TABLE_NAME
, 'hoodie.write.lock.dynamodb.partition_key': 'tablename'
, 'hoodie.write.lock.dynamodb.region': '{0}'.format(curr_region)
, 'hoodie.write.lock.dynamodb.endpoint_url':
'dynamodb.{0}.amazonaws.com'.format(curr_region)
, 'hoodie.write.lock.dynamodb.billing_mode': 'PAY_PER_REQUEST'
}
hudi_file_size = {
"hoodie.parquet.max.file.size": 512 * 1024 * 1024, # 512MB
"hoodie.parquet.small.file.limit": 104857600, # 100MB
}
# Add the Hudi index settings to the final settings dictionary
for key, value in hudi_index_settings.items():
hudi_final_settings[key] = value # Add the key-value pair to the
final settings dictionary
for key, value in hudi_file_size.items():
hudi_final_settings[key] = value
# If partitioning is enabled, add the partition settings to the
final settings
if enable_partition == "True" or enable_partition == "true" or
enable_partition == True:
for key, value in partition_settings.items():
hudi_final_settings[key] = value
# if DynamoDB based lock enabled use dynamodb as lock table
if enable_dynamodb_lock == "True" or enable_dynamodb_lock == "true" or
enable_dynamodb_lock == True:
for key, value in hudi_dynamo_db_based_lock.items():
hudi_final_settings[key] = value
# If data cleaning is enabled, add the cleaner options to the final
settings
if enable_cleaner == "True" or enable_cleaner == "true" or
enable_cleaner == True:
for key, value in hudi_cleaner_options.items():
hudi_final_settings[key] = value
# If Hive syncing is enabled, add the Hive sync settings to the final
settings
if enable_hive_sync == "True" or enable_hive_sync == "true" or
enable_hive_sync == True:
for key, value in hudi_hive_sync_settings.items():
hudi_final_settings[key] = value
# If there is data to write, apply any SQL transformations and write to
the target path
if spark_df.count() > 0:
if use_sql_transformer == "True" or use_sql_transformer == "true" or
use_sql_transformer == True:
spark_df.createOrReplaceTempView("temp")
spark_df = spark.sql(sql_transformer_query)
# Replace null values in all columns with default value 'unknown'
default_value = 'n/a'
for column in spark_df.columns:
spark_df = spark_df.na.fill(default_value)
print("**************************************************************")
print(spark_df.show())
print("**************************************************************")
spark_df.write.format("hudi"). \
options(**hudi_final_settings). \
mode("append"). \
save(target_path)
```
you can use dynamoDB lock tables
```
DYNAMODB_LOCK_TABLE_NAME = 'hudi-lock-table'
curr_session = boto3.session.Session()
curr_region = curr_session.region_name
````
```
hudi_dynamo_db_based_lock = {
'hoodie.write.concurrency.mode': 'optimistic_concurrency_control'
, 'hoodie.cleaner.policy.failed.writes': 'LAZY'
, 'hoodie.write.lock.provider':
'org.apache.hudi.aws.transaction.lock.DynamoDBBasedLockProvider'
, 'hoodie.write.lock.dynamodb.table': DYNAMODB_LOCK_TABLE_NAME
, 'hoodie.write.lock.dynamodb.partition_key': 'tablename'
, 'hoodie.write.lock.dynamodb.region': '{0}'.format(curr_region)
, 'hoodie.write.lock.dynamodb.endpoint_url':
'dynamodb.{0}.amazonaws.com'.format(curr_region)
, 'hoodie.write.lock.dynamodb.billing_mode': 'PAY_PER_REQUEST'
}
```
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