Synapse Connector in Databricks

Question

Hi ,

I am Trying to load data from Delta table to synapse table (sql dedicated pool) from databricks using synapse connector.

I am having table schema created already in Synapse with specific datatype for Column.

When i am writing after that schema of table is changing like previously it was tinyint now it is int

Note - .mode(overwrite) i am using while writing

How to load data into Synapse table by preserving the original datatype whatever is there before loading.

Answer 1

Hello @gajanan choure ,
Thanks for the question and using MS Q&A platform.
As we understand the ask here is why the schema on the Synapase is getting changed , please do let us know if its not accurate.

I have tried the below and I do not see this happening .

This is what I did tried .

1. Created a DELTA table in Azure data bricks ( ADB)

%sql
CREATE TABLE student101 (name VARCHAR(64), address VARCHAR(64), student_id tinyint )
USING Delta PARTITIONED BY (student_id);

2.Insert data

%sql
INSERT INTO student101 VALUES
('Amy Smith', '123 Park Ave, San Jose', 11);

3. Create a table on the Synapse side

CREATE TABLE student101 (name VARCHAR(64), address VARCHAR(64), student_id tinyint )

Please beware that the student_id is tinyint here .

4. Created a dataframe by reading the DELTA table

new_df = spark.sql("select * from student101")
new_df.show()

sc._jsc.hadoopConfiguration().set(
"fs.azure.account.key.XXXX.blob.core.windows.net",
"YYY")
spark.conf.set(
"fs.azure.account.key.XXX.blob.core.windows.net",
"ZZZ")

Get some data from an Azure Synapse table.

new_df.write \
.mode("overwrite")\
.format("com.databricks.spark.sqldw") \
.option("url", "jdbc:sqlserver://analyticsshared.database.windows.net:1433;database=synapse;user=CCCC@X ;password=XXXXX;encrypt=true;trustServerCertificate=false;hostNameInCertificate=*.database.windows.net;loginTimeout=30;") \
.option("tempDir", "wasbs://data@xxxxxxxxxxxxx .blob.core.windows.net/input") \
.option("forwardSparkAzureStorageCredentials", "true") \
.option("dbTable", "student101") \
.save()

Please do let me if you have any queries.
Thanks
Himanshu

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