Created
July 12, 2023 11:18
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Spark local read from JDBC and write to parquet
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| import org.apache.parquet.hadoop.ParquetOutputFormat | |
| import org.apache.spark.sql.SaveMode | |
| import org.apache.spark.sql.SparkSession | |
| fun main() { | |
| val session = createSparkSession("test", 1) | |
| val df = session.read().format("jdbc") | |
| .option("url", "jdbc:postgresql://localhost:6432/pg-atlas-v2-stg-other?user=postgres") | |
| .option("query", """select * from usdt_trx_udm_v2_transactions | |
| where consensus_time >= '2023-07-11 00:00:00Z' and consensus_time < '2023-07-12 00:00:00Z' | |
| order by consensus_time, hash""") | |
| .option("fetchsize", 5000) | |
| .load() | |
| df.write() | |
| .mode(SaveMode.Overwrite) | |
| .parquet("./transactions.parquet") | |
| } | |
| fun createSparkSession(name: String, threads: Int): SparkSession = | |
| SparkSession.builder() | |
| .appName(name) | |
| .master("local[$threads]") | |
| .config("spark.ui.enabled", false) | |
| .config("spark.sql.caseSensitive", true) | |
| .config("spark.sql.datetime.java8API.enabled", true) | |
| .config("spark.sql.legacy.utcTimestampFunc.enabled", true) | |
| .config("spark.sql.session.timeZone", "UTC") | |
| .config("spark.sql.parquet.enableVectorizedReader", false) | |
| .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer") | |
| .config("spark.kryoserializer.buffer.max", "1g") | |
| .config(ParquetOutputFormat.COMPRESSION, "snappy") | |
| .config(ParquetOutputFormat.BLOCK_SIZE, 512 * 1024 * 1024L) | |
| .config(ParquetOutputFormat.PAGE_SIZE, 16 * 1024 * 1024L) | |
| .config(ParquetOutputFormat.DICTIONARY_PAGE_SIZE, 32 * 1024 * 1024L) | |
| .config(ParquetOutputFormat.MIN_MEMORY_ALLOCATION, 8 * 1024 * 1024L) | |
| .config(ParquetOutputFormat.MIN_ROW_COUNT_FOR_PAGE_SIZE_CHECK, 500) | |
| .config(ParquetOutputFormat.WRITER_VERSION, "PARQUET_2_0") | |
| .config("spark.driver.maxResultSize", "4g") | |
| .getOrCreate(); |
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