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  2. Upsert into a Delta Lake table using merge. You can upsert data from a source table, view, or DataFrame into a target Delta table by using the MERGE SQL operation. Delta Lake supports inserts, updates, and deletes in MERGE, and it supports extended syntax beyond the SQL standards to facilitate advanced use cases.

  3. 10 lut 2021 · from functools import reduce from pyspark.sql import DataFrame dfs = [df1,df2] merged = reduce(DataFrame.union, dfs) And of course to view it: merged.show(truncate=False) # or display(merged)

  4. 6 cze 2023 · Use Union() method to combine data. Data structrure for this method should be the same. Union() method returns a set that contains all items from the original set, and all items from the specified set/s.

  5. You can use MERGE INTO for complex operations like deduplicating data, upserting change data, applying SCD Type 2 operations, etc. See Upsert into a Delta Lake table using merge for a few examples.

  6. 3 lis 2021 · Then you can coalesce/repartition them and write the merged files back to the data lake. Another option is by using delta lake, using MERGE statement (incoming data is merged in the existing). Delta lake handles the partitioning.

  7. 3 dni temu · Applies to: Databricks SQL Databricks Runtime. Merges a set of updates, insertions, and deletions based on a source table into a target Delta table. This statement is supported only for Delta Lake tables. This page contains details for using the correct syntax with the MERGE command.

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