This commit modifies csv parser, a fork of golang csv
parser to support a custom quote escape character.
The quote escape character is used to escape the quote
character when a csv field contains a quote character
as part of data.
The JSON stream library has no safe way of aborting while
Since we cannot expect the called to safely handle "Read" and "Close" calls we must handle this.
Also any Read error returned from upstream will crash the server. We preserve the errors and instead always return io.EOF upstream, but send the error on Close.
`readahead v1.3.1` handles Read after Close better.
Updates to `progressReader` is mostly to ensure safety.
Fixes#8481
Queue output items and reuse them.
Remove the unneeded type system in sql and just use the Go type system.
In best case this is more than an order of magnitude speedup:
```
BenchmarkSelectAll_1M-12 1 1841049400 ns/op 274299728 B/op 4198522 allocs/op
BenchmarkSelectAll_1M-12 14 84833400 ns/op 169228346 B/op 3146541 allocs/op
```
- Also, switch to jstream to generate internal record representation
from CSV/JSON readers
- This fixes a bug in which JSON output objects have their keys
reversed from the order they are specified in the Select columns.
- Also includes a fix for tests.
This PR also adds some comments and simplifies
the code. Primary handling is done to ensure
that we make sure to honor cached buffer.
Added unit tests as well
Fixes#7141
This change adds support for casting strings to Timestamp via CAST:
`CAST('2010T' AS TIMESTAMP)`
It also implements the following date-time functions:
- UTCNOW()
- DATE_ADD()
- DATE_DIFF()
- EXTRACT()
For values passed to these functions, date-types are automatically
inferred.
- New parser written from scratch, allows easier and complete parsing
of the full S3 Select SQL syntax. Parser definition is directly
provided by the AST defined for the SQL grammar.
- Bring support to parse and interpret SQL involving JSON path
expressions; evaluation of JSON path expressions will be
subsequently added.
- Bring automatic type inference and conversion for untyped
values (e.g. CSV data).
Anis Elleuch