How to create a table with primary key using jdbc spark connector (to ignite) - apache-spark

Question

I'm trying to save a spark dataframe to the ignite cache using spark connector (pyspark) like this:
df.write.format("jdbc") \
.option("url", "jdbc:ignite:thin://<ignite ip>") \
.option("driver", "org.apache.ignite.IgniteJdbcThinDriver") \
.option("primaryKeyFields", 'id') \
.option("dbtable", "ignite") \
.mode("overwrite") \
.save()
# .option("createTableOptions", "primary key (id)") \
# .option("customSchema", 'id BIGINT PRIMARY KEY, txt TEXT') \
I have an error:
java.sql.SQLException: No PRIMARY KEY defined for CREATE TABLE
The library org.apache.ignite:ignite-spark-2.4:2.9.0 is installed. I can't use the ignite format because azure databricks uses spring framework version that conflicts with the spring framework version in the org.apache.ignite:ignite-spark-2.4:2.9.0. So I'm trying to use jdbc thin client. But I can only read/append data to an existing cache.
I can't use the overwrite mode because I can't choose primary key. There is an option primaryKeyFields for the ignite format, but it doesn't work on jdbc. The jdbc customSchema option is ignored. The createTableOptions adds primary key statement after the schema parenthesis and a sql syntax error occurs.
Is there a way to determine a primary key for the jdbc spark connector?

Answer 1

Here's an example with correct syntax that should work fine:
DataFrameWriter < Row > df = resultDF
.write()
.format(IgniteDataFrameSettings.FORMAT_IGNITE())
.option(IgniteDataFrameSettings.OPTION_CONFIG_FILE(), configPath)
.option(IgniteDataFrameSettings.OPTION_TABLE(), "Person")
.option(IgniteDataFrameSettings.OPTION_CREATE_TABLE_PRIMARY_KEY_FIELDS(), "id, city_id")
.option(IgniteDataFrameSettings.OPTION_CREATE_TABLE_PARAMETERS(), "template=partitioned,backups=1")
.mode(Append);
Please let me know if something is wrong here.