sprint() recently became more strict, throwing on sprint("%s", 5). Replace
with the more modern format().
Mechanically converted with https://github.com/avikivity/unsprint.
The constraint is no longer relevant, since Casandra removed
it in version 2.2. In addition the mechanism for handling this
case is already implemented and is identical in case of
clustering keys with single column EQ,= and IN relations.
(Cartesian product of singular ranges).
A unit test for this test case was added.
Fixes#1735
Tests:
1. Unit Tests.
2. Manual testing with the case described in the issue.
3. dtest: ql_additional_tests.py:TestCQL.composite_row_key_test
Signed-off-by: Eliran Sinvani <eliransin@scylladb.com>
Message-Id: <83b43fdc1ca0e0cc287f66f11816fc71b8bd2925.1534430405.git.eliransin@scylladb.com>
This patch fixes several cases where it was disallowed to create
a materialized view with a filter ("where ..."), for no good reason.
After this patch, these cases will be allowed. Fixes#2367.
In ordinary SELECT queries, certain types of filtering which is known to
be deceptively inefficient is now allowed. For example, trying to query
a range of partition keys cannot be done without reading the entire
database (because the murmur3 tokenizer randomizes the order of partitions).
Restricting two partition key components also cannot be done without
reading excessive amount of the entire partition. So Scylla, following
Cassandra, chooses to disallow such SELECT queries, and give an error
message.
However, the same SELECT statements *should* be allowed when defining a
materialized view. In this case, the filter is just used to check an
individual row - not to search for one - so there is no performance
concern.
Unfortunately the existing code did these validations while building the
SELECT statement's "restrictions", in code shared by both uses of SELECT
(query and MV definition). It was easy to move one of the validations
to later code which runs after the restriction has already been built (and
knows if it is working for query or MV), but because of the way the
"restrictions" objects (translated from Cassandra 2's code) hide what they
contain, many of the checks are harder to perform after having built the
restrictions object. So instead, we add in strategic places in the
restriction-handling code a new "allow_filtering" flag. If restrictions
are built with allow_filtering=true, the extra performance-oriented tests
on the filtering restrictions is not done. Materialized views sets
allow_filtering=true.
The allow_filtering flag will also be useful later when we want to support
the "ALLOW FILTERING" query option which is currently not supported properly
(we have several open issues on that). However note that this patch doesn't
complete that support: I left a FIXME in the spot where we set
allow_filtering in the Materialized Views case, but in the futre also need
to set it if the user specified "ALLOWED FILTERING" in the query.
This patch also enables several unit tests written by Duarte which used to
fail because of this bug, and now pass. These tests verify that the
restrictions are now allowed and filter the view as desired; But I also
added test code to verify that the same restrictions are still forbidden,
as before, when used in ordinary SELECT queries.
Signed-off-by: Nadav Har'El <nyh@scylladb.com>
Message-Id: <20180423124343.17591-1-nyh@scylladb.com>
This is a confusing one, and can be replaced the fact that dense
schemas have a single regular column.
Ref #1542
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
A compact column is a dense schema's single regular column. The fact
that it is a different column_kind has lead to various bugs (#1535,
derived by the schema being dense and the column being regular.
Fixes#1542
Signed-off-by: Duarte Nunes <duarte@scylladb.com>
Values inside IN () restrictions may be either in a vector _in_values or
a marker (_in_marker or _value). To determine which one is appropriate
we check whether _in_values is empty, which is wrong because IN clause
can be empty (and there is no marker in such case). This is fixed by
using the presence of a marker to determine whether a vector of values
or a marker should be used.
Signed-off-by: Paweł Dziepak <pdziepak@cloudius-systems.com>
To prepare a user-defined type, we need to look up its name in the keyspace.
While we get the keyspace name as an argument to prepare(), it is useless
without the database instance.
Fix the problem by passing a database reference along with the keyspace.
This precolates through the class structure, so most cql3 raw types end up
receiving this treatment.
Origin gets along without it by using a singleton. We can't do this due
to sharding (we could use a thread-local instance, but that's ugly too).
Hopefully the transition to a visitor will clean this up.
