session_id: "61ec31aa-ec60-4847-8384-fe1f77644a71"
user_context {
  user_id: "iqran"
}
plan {
  command {
    sql_command {
      input {
        common {
          plan_id: 7
        }
        sql {
          query: "\nCREATE TABLE bronze.test.test \nUSING iceberg \nAS\nWITH base_data AS (\n    -- Generates 1,000 initial rows\n    SELECT \n        id as raw_id,\n        uuid() as session_id,\n        CAST(rand() * 10000 AS INT) as category_id,\n        CASE WHEN rand() > 0.5 THEN \'ACTIVE\' ELSE \'INACTIVE\' END as status,\n        current_timestamp() as ts\n    FROM range(1000)\n),\nexploded_data AS (\n    -- Cross join to explode 1,000 rows to 1,000,000 rows\n    -- Increase the range(1000) to 10000 if you want 10M rows\n    SELECT a.* \n    FROM base_data a\n    CROSS JOIN (SELECT id FROM range(1000)) b\n)\nSELECT \n    raw_id,\n    session_id,\n    -- Complex hashing to stress CPU/Executors\n    sha2(concat(CAST(raw_id AS STRING), session_id), 256) as record_hash,\n    sha2(reverse(session_id), 512) as security_token,\n    -- Analytical transformations\n    category_id,\n    status,\n    ts,\n    -- Add some junk data to increase file size (S3 stress)\n    repeat(sha2(CAST(raw_id AS STRING), 256), 5) as padding_data\nFROM exploded_data;\n"
        }
      }
    }
  }
}
client_type: "_SPARK_CONNECT_PYTHON spark/4.1.1 os/darwin python/3.10.18"
request_options {
  result_chunking_options {
    allow_arrow_batch_chunking: true
  }
}
request_options {
  reattach_options {
    reattachable: true
  }
}
operation_id: "533d10ac-4b22-4337-a0b9-3050b7fb6181"
client_observed_server_side_session_id: "6d58c63b-fd77-4e70-ac9c-f6d1a7db4baf"