Jpa Mapping quoting exception

I cant seem to get jpa mapping working.

I have an entity like this:

@Entity
data class Ticket(
    @Id
    val ticketId: String = UUID.randomUUID().toString(),
    val jobId: String = UUID.randomUUID().toString(),
    val entityId: String? = "",
    val stepNo: Long = 0,
    val opType: String,
    @Enumerated(EnumType.STRING)
    val status: TicketStatus = TicketStatus.NEW,
    val createdBy: String? = "",
    val resetBy: String? = "",
    val scheduledStartTime: Timestamp = Timestamp.from(Instant.now()),
    val scheduledEndTime: Timestamp? = null,
    val startTime: Timestamp? = null,
    val endTime: Timestamp? = null,
    val retryable: Boolean = true,
    val retryCount: Int = 0,
    val cleanupStep: Int = 0,
    val assignedTo: String? = "",
    val externalRefId: String? = "",
    @field:Column(length = 1000)
    val ticketDetail: String? = "",
    @CreationTimestamp
    val createdTime: Timestamp = Timestamp.from(Instant.now()),
    val updatedBy: String? = "",
    val dryRun: Boolean = false,
    val cancelRequested: Boolean = false,
    val abortCode: String? = null,
    val errorCode: String? = null
)

and when I do

return PostgreSqlUtils.tryGetPGConnection(jdbcTemplate.dataSource?.connection).map {
            logger.info("Using postgres copy for insertion")
            val mapping = JpaMapping(Ticket::class.java)
            val bulkInsert = PgBulkInsert(mapping)
            bulkInsert.saveAll(it, tickets)
            true
        }.orElse(false)

I get the following exception:

String index out of range: 0
java.lang.StringIndexOutOfBoundsException: String index out of range: 0
	at java.lang.String.charAt(String.java:658)
	at de.bytefish.pgbulkinsert.util.PostgreSqlUtils.requiresQuoting(PostgreSqlUtils.java:69)
	at de.bytefish.pgbulkinsert.util.PostgreSqlUtils.quoteIdentifier(PostgreSqlUtils.java:50)
	at de.bytefish.pgbulkinsert.mapping.AbstractMapping.lambda$getCopyCommand$9(AbstractMapping.java:363)
	at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
	at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
	at java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1382)
	at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
	at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
	at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
	at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
	at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
	at de.bytefish.pgbulkinsert.mapping.AbstractMapping.getCopyCommand(AbstractMapping.java:364)
	at de.bytefish.pgbulkinsert.PgBulkInsert.saveAll(PgBulkInsert.java:39)
	at de.bytefish.pgbulkinsert.PgBulkInsert.saveAll(PgBulkInsert.java:46)

[bytefish]

Yes and there is one of the Problems already. I really regret adding a JpaMapping. The Probability is way too high, that the default assumptions (int in java -> int4 in Postgres) fail to hold. This means you would have to pollute your mappings with a million explicit PgDataType annotations… leaving users like you wondering why use it at all then?

Just the same with the DateTime. What should it be mapped to by default? TimestampTz or Timestamp?

You are totally right, most of this can be solved by reading the actual database schema using Hibernate, but I don’t think I can implement it. There are also limits to my skills. This makes me really think: I’ll drop the JpaMapping<> and make a simplified version as a recipe in the README.

Just because I cannot get it easily working as a Drop-In.

[jeffzoch]

column_name	data_type	character_maximum_length
ticket_id	text	NULL
abort_code	text	NULL
assigned_to	text	NULL
cancel_requested	boolean	NULL
cleanup_step	numeric	NULL
created_by	text	NULL
created_time	timestamp without time zone	NULL
dry_run	boolean	NULL
end_time	timestamp without time zone	NULL
entity_id	text	NULL
error_code	text	NULL
external_ref_id	text	NULL
job_id	text	NULL
op_type	text	NULL
reset_by	text	NULL
retry_count	numeric	NULL
retryable	boolean	NULL
scheduled_end_time	timestamp without time zone	NULL
scheduled_start_time	timestamp without time zone	NULL
start_time	timestamp without time zone	NULL
status	text	NULL
step_no	numeric	NULL
ticket_detail	text	NULL
updated_by	text	NULL

Here is a dump of the schema from pg