2 3 3 3 3 1 2 0 1 1 3 5 input stream ε=0.2 w1 w4 w3 w2 1 2 2 3 5 w1 1 2 3 5 1 0 2 0 1 0 1 0 f1 ε1 f2 ε2 f3 ε3 f5 ε5 ??? Vasiliki Kalavri | Boston University 2020 Example 8 1 2 2 3 5 5 1 1 2 stream ε=0.2 w1 w4 w3 w2 1 2 2 3 5 w1 Delete items with fx + εx ≤ 1 1 2 3 5 1 0 2 0 1 0 1 0 f1 ε1 f2 ε2 f3 ε3 f5 ε5 ??? Vasiliki Kalavri | Boston University 2020 Example 8 1 2 2 3 5 5 1 1 2 stream ε=0.2 w1 w4 w3 w2 1 2 2 3 5 w1 Delete items with fx + εx ≤ 1 1 2 3 5 1 0 2 0 1 0 1 0 f1 ε1 f2 ε2 f3 ε3 f5 ε5 ??? Vasiliki Kalavri | Boston University 2020 Example 8 1 2 2 3 5 5 1 1 2

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Streaming SQL ------------------------- | USER_SCORES | ------------------------- | User | Score | Time | ------------------------- | Julie | 7 | 12:01 | | Frank | 3 | 12:03 | | Julie | ----------------------------- | [-inf, 12:01) | | ------------------------- | | | Name | Score | Time | | | ------------------------- | | | | | | | | | | | ---- ---------------------------- [12:01, 12:04) | ------------------------- | | Name | Score | Time | | ------------------------- | | Julie | 8 | 12:03 | | | Frank | 3 | 12:03 | | -

of the respective deadline. • Late submissions are only eligible for up to 50% of the original score. 15 Vasiliki Kalavri | Boston University 2020 Quiz #0 Vasiliki Kalavri | Boston University 2020

'aaa|a')], type_info=Types.ROW([Types.INT(), Types.STRING()])) ds.get_type() [3]: RowTypeInfo(f0: Integer, f1: String) Create a DataStream from DataStream Connectors [4]: from pyflink.common.watermark_strategy

'aaa|a')], type_info=Types.ROW([Types.INT(), Types.STRING()])) ds.get_type() [3]: RowTypeInfo(f0: Integer, f1: String) Create a DataStream from DataStream Connectors [4]: from pyflink.common.watermark_strategy