soumilshah1995 opened a new issue, #8229:
URL: https://github.com/apache/hudi/issues/8229
Hello i am working on video for community where i want to teach community
how to integrate DDOG with Hudi i dont see logs in DDOG
## Step 1: Define Imports
```
try:
import os
import sys
import uuid
import pyspark
from pyspark.sql import SparkSession
from pyspark import SparkConf, SparkContext
from pyspark.sql.functions import col, asc, desc
from pyspark.sql.functions import col, to_timestamp,
monotonically_increasing_id, to_date, when
from pyspark.sql.functions import *
from pyspark.sql.types import *
from datetime import datetime
from functools import reduce
from faker import Faker
except Exception as e:
pass
```
## Step 2 Define Spark Session
```
SUBMIT_ARGS = "--packages org.apache.hudi:hudi-spark3.3-bundle_2.12:0.13.0
pyspark-shell"
os.environ["PYSPARK_SUBMIT_ARGS"] = SUBMIT_ARGS
os.environ['PYSPARK_PYTHON'] = sys.executable
os.environ['PYSPARK_DRIVER_PYTHON'] = sys.executable
spark = SparkSession.builder \
.config('spark.serializer',
'org.apache.spark.serializer.KryoSerializer') \
.config('className', 'org.apache.hudi') \
.config('spark.sql.hive.convertMetastoreParquet', 'false') \
.getOrCreate()
```
## Step 3: Define Hudi Settings
```
db_name = "hudidb"
table_name = "hudi_table"
recordkey = 'uuid,country'
path = f"file:///C:/tmp/{db_name}/{table_name}"
precombine = "date"
method = 'upsert'
table_type = "COPY_ON_WRITE" # COPY_ON_WRITE | MERGE_ON_READ
PARTITION_FIELD = "country"
hudi_options = {
'hoodie.table.name': table_name,
'hoodie.datasource.write.table.type': table_type,
'hoodie.datasource.write.recordkey.field': recordkey,
'hoodie.datasource.write.table.name': table_name,
'hoodie.datasource.write.operation': method,
'hoodie.datasource.write.precombine.field': precombine
,"hoodie.datasource.write.partitionpath.field":PARTITION_FIELD
,"hoodie.metrics.on":"true"
,"hoodie.metrics.reporter.type":"DATADOG"
,"hoodie.metrics.datadog.api.site":"US"
,"hoodie.metrics.datadog.api.key":"KEY XXXXXXXXXXXX"
,"hoodie.metrics.datadog.metric.prefix":"hudi"
}
```
## Step 4: Inserts
```
spark_df = spark.createDataFrame(
data=[
(1, "insert 1", "2020-01-06 12:12:12", "IN"),
(2, "insert 2", "2020-01-06 12:12:13", "US"),
(3, "insert 3", "2020-01-06 12:12:15", "IN"),
(4, "insert 4", "2020-01-06 12:13:15", "US"),
],
schema=["uuid", "message", "date", "country"])
spark_df.show()
spark_df.write.format("hudi"). \
options(**hudi_options). \
mode("append"). \
save(path)
```
#### i dont see logs
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