Hello, Issues :
* I and my team are trying to consume some kafka topics based on the timestamps using startingOffsetsByTimestamps option, and the code works fine when we run via a Databricks notebook. * There is a need to setup the whole process in a local system (IntelliJ), but the same code doesn’t work there. We are referring the official documentation page, and using the exact same syntax and the same versions as mentioned but somehow the code fails on the startingOffsetsByTimestamps line. * The following versions are being used: * Scala : 2.12.12 * Spark-sql : 3.0.1 * Spark-sql-kafka-0-10 * The code snippet is as follows, please suggest any changes or details that we can use to fix this : val spark = SparkSession.builder().appName("Automation").master("local[*]").getOrCreate() val df = spark .read .format("kafka") .option("kafka.bootstrap.servers", bootstrap) .option("subscribe", topic) .option("kafka.security.protocol", "SSL") .option("kafka.ssl.truststore.location", truststore_location) .option("kafka.ssl.truststore.password", truststore_pwd) .option("kafka.ssl.keystore.location", keystore_location) .option("kafka.ssl.keystore.password", keystore_pwd) .option("kafka.ssl.key.password", key_pwd) .option("kafka.schema.registry.url", url) .option("kafka.request.timeout.ms", "60000") .option("kafka.session.timeout.ms", "60000") .option("maxOffsetsPerTrigger", 3000000) .option("failOnDataLoss", "false") .option("dropMalformed", "true") .option("startingOffsetsByTimestamp", """{"topic": {"0": 1000}}""") .load() df.show() Error produced : Exception in thread "main" java.lang.IllegalArgumentException: Expected e.g. {"topicA": {"0": 123456789, "1": 123456789}, "topicB": {"0": 123456789, "1": 123456789}} Expecations : * I believe someone from kafka/spark team would help me resolve this issue, so that I can proceed further with my work. -- Thanks & Regards, Yashasvini Rathore Assoc Software Engineer II, Hyderabad, India (Desk) +91 403/968-5738 Our United Culture. The way forward. ■ Integrity ■ Compassion ■ Relationships ■ Innovation ■ Performance This e-mail, including attachments, may include confidential and/or proprietary information, and may be used only by the person or entity to which it is addressed. If the reader of this e-mail is not the intended recipient or his or her authorized agent, the reader is hereby notified that any dissemination, distribution or copying of this e-mail is prohibited. If you have received this e-mail in error, please notify the sender by replying to this message and delete this e-mail immediately.