At the moment Scylla supports only frozen UDTs but
the code should be able to handle non-frozen UDTs as well.
Signed-off-by: Piotr Jastrzebski <piotr@scylladb.com>
Replace stdx::optional and stdx::string_view with the C++ std
counterparts.
Some instances of boost::variant were also replaced with std::variant,
namely those that called seastar::visit.
Scylla now requires GCC 8 to compile.
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
Message-Id: <20190108111141.5369-1-duarte@scylladb.com>
* seastar d59fcef...b924495 (2):
> build: Fix protobuf generation rules
> Merge "Restructure files" from Jesse
Includes fixup patch from Jesse:
"
Update Seastar `#include`s to reflect restructure
All Seastar header files are now prefixed with "seastar" and the
configure script reflects the new locations of files.
Signed-off-by: Jesse Haber-Kucharsky <jhaberku@scylladb.com>
Message-Id: <5d22d964a7735696fb6bb7606ed88f35dde31413.1542731639.git.jhaberku@scylladb.com>
"
sprint() recently became more strict, throwing on sprint("%s", 5). Replace
with the more modern format().
Mechanically converted with https://github.com/avikivity/unsprint.
As a prepratation for the switch to the new cell representation this
patch changes the type returned by atomic_cell_view::value() to one that
requires explicit linearisation of the cell value. Even though the value
is still implicitly linearised (and only when managed by the LSA) the
new interface is the same as the target one so that no more changes to
its users will be needed.
compare_unsigned() is a general utility function that compares two
bytes_view byte-by-byte. There is no need to include whole type.hh in
order to make it available.
The switch to the new in-memory representation will require a larger
parts of the logic be aware of the type of the values they are dealing
with. In most cases it is not a significant burden for the users.
For any given CQL data type, this member returns whether its values are
of fixed or variable length. This is used by SSTables 3.0 format to only
store the length value for variable-length cells.
For #1969.
Signed-off-by: Vladimir Krivopalov <vladimir@scylladb.com>
Fixes#3187
Requires seastar "inet_address: Add constructor and conversion function
from/to IPv4"
Implements support IPv6 for CQL inet data. The actual data stored will
now vary between 4 and 16 bytes. gms::inet_address has been augumented
to interop with seastar::inet_address, though of course actually trying
to use an Ipv6 address there or in any of its tables with throw badly.
Tests assuming ipv4 changed. Storing a ipv4_address should be
transparent, as it now "widens". However, since all ipv4 is
inet_address, but not vice versa, there is no implicit overloading on
the read paths. I.e. tests and system_keyspace (where we read ip
addresses from tables explicitly) are modified to use the proper type.
Message-Id: <20180424161817.26316-1-calle@scylladb.com>
This commit adds a 'from_json_object' method which will be used
for converting JSON representation of a value to raw bytes representing
the same value. This functionality will be needed by 'INSERT JSON'
clause implementation, which can turn these raw bytes into cql3::term.
References #2058
This commit adds a 'to_json_string' method which will be used
for converting values to JSON strings. In several cases it's not
sufficient to use 'to_string', e.g. actual strings need to be
surrounded with double quotes.
References #2058
For better or worse, marshal_exception is used from utils/, and it's not good
to have utils/ depend on types.hh. Extract marshal_exception to make it possible
to remove the dependency.
`duration` is a new native type that was introduced in Cassandra 3.10 [1].
Support for parsing and the internal representation of the type was added in
8fa47b74e8.
Important note: The version of cqlsh distributed with Scylla does not have
support for durations included (it was added to Cassandra in [2]). To test this
change, you can use cqlsh distributed with Cassandra.
Duration types are useful when working with time-series tables, because they can
be used to manipulate date-time values in relative terms.
Two interesting applications are:
- Aggregation by time intervals [3]:
`SELECT * FROM my_table GROUP BY floor(time, 3h)`
- Querying on changes in date-times:
`SELECT ... WHERE last_heartbeat_time < now() - 3h`
(Note: neither of these is currently supported, though columns with duration
values are.)
Internally, durations are represented as three signed counters: one for months,
for days, and for nanoseconds. Each of these counters is serialized using a
variable-length encoding which is described in version 5 of the CQL native
protocol specification.
The representation of a duration as three counters means that a semantic
ordering on durations doesn't exist: Is `1mo` greater than `1mo1d`? We cannot
know, because some months have more days than others. Durations can only have a
concrete absolute value when they are "attached" to absolute date-time
references. For example, `2015-04-31 at 12:00:00 + 1mo`.
That duration values are not comparable presents some difficulties for the
implementation, because most CQL types are. Like in Cassandra's implementation
[2], I adopted a similar strategy to the way restrictions on the `counter` type
are checked. A type "references" a duration if it is either a duration or it
contains a duration (like a `tuple<..., duration, ...>`, or a UDT with a
duration member).
The following restrictions apply on durations. Note that some of these contexts
are either experimental features (materialized views), or not currently
supported at run-time (though support exists in the parser and code, so it is
prudent to add the restrictions now):
- Durations cannot appear in any part of a primary key, either for tables or
materialized views.
- Durations cannot be directly used as the element type of a `set`, nor can they
be used as the key type of a `map`. Because internal ordering on durations is
based on a byte-level comparison, this property of Cassandra was intended to
help avoid user confusion around ordering of collection elements.
- Secondary indexes on durations are not supported.
- "Slice" relations (<=, <, >=, >) are not supported on durations with `WHERE`
restrictions (like `SELECT ... WHERE span <= 3d`). Multi-column restrictions
only work with clustering columns, which cannot be `duration` due to the
first rule.
- "Slice" relations are not supported on durations with query conditions (like
`UPDATE my_table ... IF span > 5us`).
Backwards incompatibility note:
As described in the documentation [4], duration literals take one of two
forms: either ISO 8601 formats (there are three), or a "standard" format. The ISO
8601 formats start with "P" (like "P5W"). Therefore, identifiers that have this
form are no longer supported.
Fixes#2240.
[1] https://issues.apache.org/jira/browse/CASSANDRA-11873
[2] bfd57d13b7
[3] https://issues.apache.org/jira/browse/CASSANDRA-11871
[4] http://cassandra.apache.org/doc/latest/cql/types.html#working-with-durations
Currently each time UDT or tuple is parsed new object is created. If
those objects are used to create container type repeatedly it will cause
memory leak since container types are interned, but lookup in the
cache is done using pointer to a contained type (which will be always
different for UDT and tuples). This patches interns also UDT and tuple,
so each type the same object is parsed same pointer is also returned.
Refs #2469Fixes#2487
Message-Id: <20170612142942.GO21915@scylladb.com>
This patch replaces the current row tombstone representation by a
row_tombstone.
The intent of the patch is thus to reify the idea of shadowable
tombstones, that up until now we considered all materialized view row
tombstones to be.
We need to distinguish shadowable from non-shadowable row tombstones
to support scenarios such as, when inserting to a table with a
materialzied view:
1. insert into base (p, v1, v2) values (3, 1, 3) using timestamp 1
2. delete from base using timestamp 2 where p = 3
3. insert into base (p, v1) values (3, 1) using timestamp 3
These should yield a view row where v2 is definitely null, but with
the current implementation, v2 will pop back with its value v2=3@TS=1,
even though its dead in the base row. This is because the row
tombstone inserted at 2) is a shadowable one.
This patch only addresses the memory representation of such
row_tombstones.
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
They now accept optional lexicographical_relation which can be used
to alter position of the element relative to elements prefixed by it.
Example. Let's consider lexicographical ordering on strings. The
position of "bc" in a sample sequence is affected by
lexicographical_realtion as follows:
aa
aaa
b
ba
--> before_all_prefixed
bc
--> before_all_strictly_prefixed
bca
bcd
--> after_all_prefixed
bd
bda
c
ca
This patch fixes collection_type_impl::difference() so it does set
difference for tombstones instead of just returning the larger
one, as difference() is supposed to return only the information in
mutation A that supersedes that in B, given difference(A, B).
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
This patch introduces the collection_type_impl::for_each_cell()
function, which allows the caller to iterate over the cells of a
particular collection_mutation_view.
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
This patch adds the is_set() and is_list() functions to
collection_type_impl, which identify the concrete collection
type.
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
column_mapping is not safe to access across shards, because data_type
is not safe to access. One of the manifestation of this is that
abstract_type::is_value_compatible_with() always fails if the two
types belong to different shards.
During replay, column_mapping lives on the replaying shard, and is
used by converting_mutation_partition_applier against the schema on
the target shard. Since types in the mapping will be considered
incompatible with types in the schema, all cells will be dropped.
Fix by using column_mapping in a safe way, by copying it to the target
shard if necessary. Each shard maintains its own cache of column
mappings.
Fixes#1924.
Message-Id: <1481310463-13868-1-git-send-email-tgrabiec@scylladb.com>
That's akin to abstract_type::as_less_comparator's nature.
So we don't have to repeat something like the following everywhere:
auto cmp = [&type] (const bytes_view& b1, const bytes_view& b2) {
return type->compare(b1, b2); }
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
