Dataframe TTL doesn't include schema keys

[folfix]

Hi!
I've noticed that following configuration:

df.write()
    .format("org.apache.spark.sql.redis")
    .option("table", "example")
    .option("ttl", 60)
    .save();

allows me to keep data in Redis for 60 seconds. It works as expected. But I've observed that schema key (_spark:example:schema) is being kept. This causes a problem when reading: I can't tell if data is in cache or not. Because, following:

Dataset<Row> loadedDataset = spark.getSession().read()
        .format("org.apache.spark.sql.redis")
        .option("table", "example")
        .load();

responds with valid Dataset (none exception thrown).

Is there any way to propagate TTL to schema keys as well? Thanks!

[fe2s]

Hi @folfix,
the TTL option affects rows only and not table schema. Can you check that returned dataframe is empty?

[sazzad16]

Closed due to inactivity.