NhatDuy11 commented on issue #4914:
URL: https://github.com/apache/iceberg/issues/4914#issuecomment-1729292470
@ajantha-bhat hello,
I tried your method again but still did not receive the gzip file, only
received the parquet file when querying
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName("CSVICEBERG") \
.config("spark.jars.packages",
"org.apache.iceberg:iceberg-spark-runtime-3.4_2.12:1.3.0") \
.config("spark.sql.extensions",
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions") \
.config("spark.sql.catalog.spark_catalog",
"org.apache.iceberg.spark.SparkSessionCatalog") \
.config("spark.sql.catalog.spark_catalog.type", "hive") \
.config("spark.sql.catalog.local",
"org.apache.iceberg.spark.SparkCatalog") \
.config("spark.sql.catalog.local.type", "hadoop") \
.config("spark.sql.catalog.local.warehouse", "D:\iceberg_warehouse") \
.config("spark.sql.defaultCatalog", "local") \
.config("write.parquet.compression-codec","gzip")\
.getOrCreate()
spark.sql("CREATE TABLE local.dcn.two (name STRING ,age INT) USING
iceberg TBLPROPERTIES('write.parquet.compression-codec'='gzip')").show()
spark.sql("insert into local.dcn.two values ('duy',1) ").show()
spark.sql("SELECT * FROM local.dcn.two ").show()
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