Serialize a Spark DataFrame into Apache Avro format
Serialize a Spark DataFrame into Apache Avro format.
Notice this functionality requires the Spark connection sc to be instantiated with either
an explicitly specified Spark version (i.e.,
spark_connect(..., version = <version>, packages = c("avro", <other package(s)>), ...))
or a specific version of Spark avro package to use (e.g.,
spark_connect(..., packages = c("org.apache.spark:spark-avro_2.12:3.0.0", <other package(s)>), ...)).
spark_write_avro( x, path, avro_schema = NULL, record_name = "topLevelRecord", record_namespace = "", compression = "snappy", partition_by = NULL )
x |
A Spark DataFrame or dplyr operation |
path |
The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols. |
avro_schema |
Optional Avro schema in JSON format |
record_name |
Optional top level record name in write result (default: "topLevelRecord") |
record_namespace |
Record namespace in write result (default: "") |
compression |
Compression codec to use (default: "snappy") |
partition_by |
A |
Other Spark serialization routines:
collect_from_rds(),
spark_load_table(),
spark_read_avro(),
spark_read_csv(),
spark_read_delta(),
spark_read_jdbc(),
spark_read_json(),
spark_read_libsvm(),
spark_read_orc(),
spark_read_parquet(),
spark_read_source(),
spark_read_table(),
spark_read_text(),
spark_read(),
spark_save_table(),
spark_write_csv(),
spark_write_delta(),
spark_write_jdbc(),
spark_write_json(),
spark_write_orc(),
spark_write_parquet(),
spark_write_source(),
spark_write_table(),
spark_write_text()
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