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Returns the decompressed value of expr using Zstandard. Supports data compressed in both single-pass mode and streaming mode. On decompression failure, it returns NULL.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.try_zstd_decompress(input=<input>)
Parameters
| Parameter | Type | Description |
|---|---|---|
input |
pyspark.sql.Column or str |
The binary value to decompress. |
Returns
pyspark.sql.Column: A new column that contains an uncompressed value.
Examples
Example 1: Decompress data using Zstandard
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([("KLUv/SCCpQAAaEFwYWNoZSBTcGFyayABABLS+QU=",)], ["input"])
df.select(dbf.try_zstd_decompress(dbf.unbase64(df.input)).cast("string").alias("result")).show(truncate=False)
+----------------------------------------------------------------------------------------------------------------------------------+
|result |
+----------------------------------------------------------------------------------------------------------------------------------+
|Apache Spark Apache Spark Apache Spark Apache Spark Apache Spark Apache Spark Apache Spark Apache Spark Apache Spark Apache Spark |
+----------------------------------------------------------------------------------------------------------------------------------+
Example 2: Decompress invalid input
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([("invalid input",)], ["input"])
df.select(dbf.try_zstd_decompress(dbf.unbase64(df.input)).cast("string").alias("result")).show(truncate=False)
+------+
|result|
+------+
|NULL |
+------+