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import org.apache.spark.sql.functions._ |
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val initial_df = Seq( | |
("x", 4, 1), | |
("x", 6, 2), | |
("z", 7, 3), | |
("a", 3, 4), | |
("z", 5, 2), | |
("x", 7, 3), | |
("x", 9, 7), | |
("z", 1, 8), | |
("z", 4, 9), |
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full_df.printSchema() |
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val arr_contains_df = df.withColumn("result", array_contains($"array_col2", 3)) | |
arr_contains_df.show() |
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val arr_remove_df = df.withColumn("result", array_remove($"array_col2", 7)) | |
arr_remove_df.show() |
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val arr_pos_df = df.withColumn("result", array_position($"array_col2", 7)) | |
arr_pos_df.show() |
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val arr_min_df = df.withColumn("result", array_min($"array_col2")) | |
arr_min_df.show() |
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val arr_join_df = df.withColumn("result", array_join($"array_col2", ",")) | |
arr_join_df.show() |
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val arr_intersect_df = full_df | |
.withColumn("result", array_intersect($"array_col1", $"array_col2")) | |
arr_intersect_df.show() |
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val arr_except_df = full_df.withColumn("result", array_except($"array_col1", $"array_col2")) | |
arr_except_df.show() |
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