Dataframe union()–union()method of the DataFrame is used to merge two DataFrame’s of the same structure/schema. The output includes all rows from both DataFrames and duplicates are retained. If schemas are not the same it returns an error. To deal with the DataFrames of different schemas...
from google.cloud import bigquery -from sqlglot.dataframe.sql.session import SparkSession -from sqlglot.dataframe.sql import types -from sqlglot.dataframe.sql import functions as F - -client = bigquery.Client() - -data = [ - (1, "Jack", "Shephard", 34), - (2, "John", "Locke", 4...
unionByName(other)[source] Returns a new DataFrame containing union of rows in this and another frame. This is different from both UNION ALL and UNION DISTINCT in SQL. To do a SQL-style set union (that does deduplication of elements), use this function followed by distinct(). ...
from google.cloud import bigquery -from sqlglot.dataframe.sql.session import SparkSession -from sqlglot.dataframe.sql import types -from sqlglot.dataframe.sql import functions as F - -client = bigquery.Client() - -data = [ - (1, "Jack", "Shephard", 34), - (2, "John", "Locke", 4...