df.rdd.isEmpty() results in unexpected executor failure and JVM crash

data = []
for t in range(0, 10000):
    id = str(uuid.uuid4())
    if t == 0:
        for i in range(0, 99):
            data.append((id,))
    elif t < 10:
        for i in range(0, 75):
            data.append((id,))
    elif t < 100:
        for i in range(0, 50):
            data.append((id,))
    elif t < 1000:
        for i in range(0, 25):
            data.append((id,))
    else:
        for i in range(0, 10):
            data.append((id,))

df = self.spark.createDataFrame(data, ["col"])
df.coalesce(1).write.parquet(tmpPath)

res = self.spark.read.parquet(tmpPath).groupBy("col").count()
print(res.rdd.isEmpty()) # crashes JVM