public class SparkStreaming extends SparkEvaluator
data_source_dir_name, empty_bag, MAX_CACHE_SIZE, spark_context, stream_context
counter_container, counter_key, evaluator, value_container
coerce_method, false_name, false_value, global_env, identity_mapper, is_dataset, null_name, null_value, query_plan, query_type, tab_count, trace_count, true_name, true_value
algebraic_operators, data_constructors, functions, global_datatype_env, global_functions, global_macros, global_type_env, global_vars, identity, impure_functions, monoids, plan_names, plans_with_distributed_lambdas, repeat_variables, st, type_env, type_names
Constructor and Description |
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SparkStreaming() |
Modifier and Type | Method and Description |
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static void |
evaluate(Tree plan,
Environment env,
DataSetFunction f)
evaluate plan in stream mode: evaluate each batch of data and apply the function f
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aggregate, bag, binaryInputFormat, containerData, dump_source_dir, dump_text, dump, eval, eval, evalD, generatorInputFormat, init, initialize_query, load_source_dir, loop, new_configuration, parsedInputFormat, shutdown, streaming
, bsp, distribute, get_type, synchronize
closure, evalE, evalE, evalF, evalM, evalMM, evalS, lookup_distributed_binding, lookup_global_binding, new_distributed_binding, new_global_binding, pre_trace, remove_global_binding, set_global_bindings, tabs, trace, translate_expression, variable_lookup
compare_types, equal_types, expand, make_persistent_type, normalize_type, subtype_unify, subtype, subtype, subtype, type_error, type_inference, type_inference2, unify, unify
alpha_equivalent, alpha_equivalent, collection_type, error, free_variables, global_reset, identity, is_collection, is_persistent_collection, is_pure, new_var, occurences, pattern_variables, persistent_collection, print_aggregates, reify, reify, reset, subst_list, subst_var, subst, template, top_level, transient_collection, translate_select, union
print_plan, print_query, print_type, print, reify
public static final void evaluate(Tree plan, Environment env, DataSetFunction f)
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