Vladimir, Ok, agreed, let's not boil the ocean...at least for now ;)
-- Denis Magda On Sat, Feb 23, 2019 at 12:50 AM Vladimir Ozerov <voze...@gridgain.com> wrote: > Denis, > > Yes, this is what my answer was about - you cannot have SQL without > defining fields in advance. Because it breaks a lot of standard SQL > invariants and virtually makes the whole language unusable. For instance, > think of product behavior in the following cases: > 1) User queries an empty cache with a query "SELECT a FROM table" - what > should happen - exception or empty result? How would I know whether field > "a" will appear in future? > 2) User executed a command "ALTER TABLE ... ADD COLUMN b" - how can I > understand whether it is possible or not to add a column without strict > schema? > 3) "ALTER TABLE ... DROP COLUMN c" - what should happen if user will add an > object with field "c" after that? > 4) User connects to Ignite from Tableau and navigates through schema - what > should be shown? > > That is, you cannot have SQL without schema because it is at the very heart > of the technology. But you can have schema-less noSQL database. > > Let's do not invent a hybrid with tons of corner cases and separate > learning curve. It should be enough just to rethink and simplify our > configuration - reshape QueryEntity, deprecate all SQL annotations, allow > only one table per cache, allow to define SQL script to be executed on > cache start or so. > > As far as schemaless - it is viable approach for sure, but should be > considered either outside of SQL (e.g. a kind of predicate/criteria API > which can be merged with ScanQuery) or as a special datatype in SQL > ecosystem (like is is done with JSON in many RDBMS databases). > > Vladimir. > > > > > On Fri, Feb 22, 2019 at 11:01 PM Denis Magda <dma...@apache.org> wrote: > > > Vladimir, > > > > That's understood. I'm just thinking of a use case different from the DDL > > approach where the schema is defined initially. Let's say that someone > > configured caches with CacheConfiguration and now puts an Object in the > > cache. For that person, it would be helpful to skip the Annotations or > > QueryEntities approaches for queryable fields definitions (not even > > indexes). For instance, the person might simply query some fields with > the > > primary index in the WHERE clause and this shouldn't require any extra > > settings. Yes, it's clear that it might be extremely challenging to > support > > but imagine how usable the API could become if we can get rid of > > Annotations and QueryEntities. > > > > Basically, my idea is that all of the objects and their fields stored in > > the caches should be visible to SQL w/o extra settings. If someone wants > to > > create indexes then use DDL which was designed for this. > > > > > > - > > Denis > > > > > > On Fri, Feb 22, 2019 at 2:27 AM Vladimir Ozerov <voze...@gridgain.com> > > wrote: > > > > > Denis, > > > > > > SQL is a language with strict schema what was one of significant > factors > > of > > > it's worldwide success. I doubt we will ever have SQL without > > > configuration/definiton, because otherwise it will be not SQL, but > > > something else (e.g. document-oriented, JSON, whatever). > > > > > > On Fri, Feb 22, 2019 at 1:52 AM Denis Magda <dma...@apache.org> wrote: > > > > > > > Folks, > > > > > > > > Do we want to preserve the annotation-based configuration? There are > > too > > > > many ways to configure SQL indexes/fields. > > > > > > > > For instance, if our new SQL API could see and access all of the > fields > > > > out-of-the-box (without any extra settings) and DDL will be used to > > > define > > > > indexed fields then that would be a huge usability improvement. > > > > > > > > - > > > > Denis > > > > > > > > > > > > On Thu, Feb 21, 2019 at 5:27 AM Taras Ledkov <tled...@gridgain.com> > > > wrote: > > > > > > > > > Hi, > > > > > > > > > > Lets discuss SQL DML (INSERT/UPDATE) current behavior specific: > > > > > > > > > > Ignite doesn't check a type of input objects when hidden columns > > _key, > > > > > _value is used in a DML statements. > > > > > I describe the current behavior for example: > > > > > > > > > > 1. Cache configuration: 'setIndexedTypes(PersonKey.class, > > > > Person.class))' > > > > > 2. PersonKey type contains 'int id' field. > > > > > 3. SQL statement: 'INSERT INTO test (_val, _key) VALUES (?, ?)' > > > > > > > > > > Cases: > > > > > 1. Invalid value object type: > > > > > - Any value object may be passed as a query parameter > > > > > - Query is executed without an error and returns '1' (one row > > updated); > > > > > - There is not inserted row at the 'SELECT * FROM test' results. > > > > > - cache.get(key) returns inserted object; > > > > > > > > > > 2. Invalid key object type: > > > > > 2.1 Non-primitive object is passed and binary representation > doesn't > > > > > contain 'id' field. > > > > > - Query is executed without error and returns '1' (one row > updated); > > > > > - The inserted row is available by 'SELECT *' and the row contains > > id = > > > > > null; > > > > > 2.2 Non-primitive object is passed and binary representation > contains > > > > > 'id' field. > > > > > - The inserted row is available by 'SELECT *' and the row contains > > > > > expected 'id' field; > > > > > - The cache entry cannot be gathered by 'cache.get' operation with > > the > > > > > corresponding 'PersonKey(id)' (keys differ). > > > > > > > > > > I propose to check type of the user's input object. > > > > > > > > > > I guess that using _key/_val columns works close to 'cache.put()' > but > > > it > > > > > looks like significant usability issue. > > > > > To confuse the 'PersonKey.class.getName()' and > > > > > 'node.binary().builder("PersonKey")' is a typical mistake of Ignite > > > > > newcomers. > > > > > > > > > > One more argument for check: SQL INSERT sematic means the row is > > > > > inserted into the specified TABLE, not into the cache. > > > > > So, throw IgniteSQLException is expected behavior in this case, i > > > think. > > > > > > > > > > [1]. https://issues.apache.org/jira/browse/IGNITE-5250 > > > > > > > > > > -- > > > > > Taras Ledkov > > > > > Mail-To: tled...@gridgain.com > > > > > > > > > > > > > > > > > > > >