pysparkazure-synapsedelta-lake
Synapse Delta tables - reading the latest version of a record
In Synapse Delta tables are great for ETL because they allow merge statements on parquet files. I was wondering how to use delta table to our advantage for reading the data as well when we load Silver to Gold. is there a way, in Synapse, to read the 'latest' version of each key?
The link below is for an approach for Azure Databricks. I could not get it to work in a PySpark notebook. I was wondering if there is a similar approach for Synapse Delta
Solution
Yes, I agree with wBob,
I reproduce the same thing in the environment with the azure synapse Delta table.
Try this Code to get latest version of a record:
from pyspark.sql import SparkSession
df1 = spark.read \
.format("delta") \
.option("startingVersion", "latest") \
.option("readChangeFeed", "true") \
.table('sample_table')
df1.show()
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