please pass␣ ˓→schema= explicitly. Will raise exception in future return pa.RecordBatch.from_arrays(arrays, schema) [5]: root |-- id: BIGINT |-- data: STRING Create a Table from DDL statements [6]: please pass␣ ˓→schema= explicitly. Will raise exception in future return pa.RecordBatch.from_arrays(arrays, schema) [21]: _c0 0 2 1 3 [ ]: # use the Python function in SQL API table_env.create_temp

please pass␣ ˓→schema= explicitly. Will raise exception in future return pa.RecordBatch.from_arrays(arrays, schema) [5]: root |-- id: BIGINT |-- data: STRING Create a Table from DDL statements [6]: please pass␣ ˓→schema= explicitly. Will raise exception in future return pa.RecordBatch.from_arrays(arrays, schema) [21]: _c0 0 2 1 3 [ ]: # use the Python function in SQL API table_env.create_temp

streams • It was introduced in 2003 by Cormode and Muthukrishnan • It uses a hash table of p arrays of m counters • Elements update different subsets of counters, one per hash table • Many independent 2020 21 The Count-Min Sketch m counters h1 h2 hp … p pairwise independent hash functions … p arrays map the universe to the range {1, 2, …, m} ??? Vasiliki Kalavri | Boston University 2020 22 for

than available memory and will not be lost upon failure. • Keys and values are arbitrary byte arrays: serialization and deserialization is required to access the state via a Flink program. • The