Sergey Rubtsov created SPARK-19228: -------------------------------------- Summary: inferSchema function processed csv date column as string and "dateFormat" DataSource option is ignored Key: SPARK-19228 URL: https://issues.apache.org/jira/browse/SPARK-19228 Project: Spark Issue Type: Bug Components: Input/Output, SQL Affects Versions: 2.1.0 Reporter: Sergey Rubtsov
I need to process user.csv like this: {code} id,project,started,ended sergey.rubtsov,project0,12/12/2012,10/10/2015 {code} When I add date format options: {code} Dataset<Row> users = spark.read().format("csv").option("mode", "PERMISSIVE").option("header", "true") .option("inferSchema", "true").option("dateFormat", "dd/MM/yyyy").load("src/main/resources/user.csv"); users.printSchema(); {code} expected scheme should be {code} root |-- id: string (nullable = true) |-- project: string (nullable = true) |-- started: date (nullable = true) |-- ended: date (nullable = true) {code} but the actual result is: {code} root |-- id: string (nullable = true) |-- project: string (nullable = true) |-- started: string (nullable = true) |-- ended: string (nullable = true) This mean that date processed as string and "dateFormat" option is ignored and date processed as string. If I add option {code} .option("timestampFormat", "dd/MM/yyyy") {code} result is: {code} root |-- id: string (nullable = true) |-- project: string (nullable = true) |-- started: timestamp (nullable = true) |-- ended: timestamp (nullable = true) {code} I think, the issue is somewhere in object CSVInferSchema, function inferField, lines 80-97 and method "tryParseDate" need to be added before/after "tryParseTimestamp", or date/timestamp process logic need to be changed. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org