Description
Blindly quoting every field name for inserting is the issue (Line 110-119, https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala).
/**
- Returns a PreparedStatement that inserts a row into table via conn.
*/
def insertStatement(conn: Connection, table: String, rddSchema: StructType, dialect: JdbcDialect)
: PreparedStatement = { val columns = rddSchema.fields.map(x => dialect.quoteIdentifier(x.name)).mkString(",") val placeholders = rddSchema.fields.map(_ => "?").mkString(",") val sql = s"INSERT INTO $table ($columns) VALUES ($placeholders)" conn.prepareStatement(sql) }
This code causes the following issue (it does not happen to 1.6.x):
I have issue with the saveTable method in Spark 2.0/2.0.1. I tried to save a dataset to Oracle database, but the fields must be uppercase to succeed. This is not an expected behavior: If only the table names were quoted, this utility should concern the case sensitivity. The code below throws the exception: Caused by: java.sql.SQLSyntaxErrorException: ORA-00904: "DATETIME_gmt": invalid identifier.
String detailSQL ="select CAST('2016-09-25 17:00:00' AS TIMESTAMP) DATETIME_gmt, '1' NODEB";
hc.sql("set spark.sql.caseSensitive=false");
Dataset<Row> ds = hc.sql(detailSQL);
ds.show();
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils.saveTable(ds, url, detailTable, p);
Attachments
Issue Links
- incorporates
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SPARK-19308 Unable to write to Hive table where column names contains period (.)
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- Resolved
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- is duplicated by
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- Resolved
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- links to
