|4 |0.21428571428571427|3.0 |3.0 |tgUzEjfebzJsZWdoHIxrXlgqnbPZqZrmktsOUxfMvQyGplpErf| 4 |xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx| ![]() |3 |0.14285714285714285|2.0 |3.0 |LIixMEOLeMaEqJomTEIJEzOjoOjHyVaQXekWLctXbrEMUyTYBz| 3 |xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx| |2 |0.07142857142857142|1.0 |13.0 |dffxkVZQtqMnMcLRkBOzZUGxICGrcbxDuyBHkJlpobluliGGxG| 2 |xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx| |1 |0.0 |0.0 |2.0 |KZWeqhFWCEPyYngFbyBMWXaSCrUZoLgubbbPIayRnBUbHoWCFJ| 1|xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx| |ID |CLUSTERED |SCATTERED|RANDOMISED|RANDOM_STRING |SMALL_VC |PADDING | Rows = spark.sql(f"""SELECT COUNT(1) FROM """).show() Other generic options can be found in Generic File Source Options.If (spark.sql("SHOW TABLES IN test like 'randomDataDelta'").count() = 1): This will override orc.compress and .codec. This can be one of the known case-insensitive shorten names (none, snappy, zlib, lzo, zstd and lz4). The default value is specified in .Ĭompression codec to use when saving to file. Sets whether we should merge schemas collected from all ORC part-files. OPTIONS clause at CREATE TABLE USING DATA_SOURCE.When set to false, Spark SQL will use the Hive SerDe for ORC tables instead of the built inĭata source options of ORC can be set via: Otherwise the schema is picked from a random data file. When true, the ORC data source merges schemas collected from all data files, Įnables vectorized orc decoding in native implementation for nested data types If false,Ī new non-vectorized ORC reader is used in native implementation.įor hive implementation, this is ignored. ![]() hive means the ORC libraryĮnables vectorized orc decoding in native implementation. This behavior is controlled by the configuration, and is turned on by default. For CTAS statement, only non-partitioned Hive metastore ORC tables are converted. When reading from Hive metastore ORC tables and inserting to Hive metastore ORC tables, Spark SQL will try to use its own ORC support instead of Hive SerDe for better performance. ![]() mask "nullify:ssn sha256:email" ) Hive metastore ORC table conversion Of Zstandard compression in ORC files on both Hadoop versions.ĬREATE TABLE encrypted ( ssn STRING, email STRING, name STRING ) USING ORC OPTIONS ( hadoop.
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