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20160721_information_schema.md

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  • Feature Name: Information Schema
  • Status: completed
  • Start Date: 2016-07-19
  • Authors: Nathan VanBenschoten
  • RFC PR: #7965
  • Cockroach Issue: #5194, #5583

Summary

information_schema allows users to perform database introspection, providing information about all tables, views, columns, procedures, and access privileges in a database. This proposal details initial plans to support the information_schema specification in CockroachDB.

Motivation

Up until this point, CockroachDB has only supported limited schema reflection through SHOW statements. This is restricting in that it is inconsistent with other SQL statements, it forces users to learn new syntax, and it is inextensible. Unlike SHOW statements, information_schema exposes a table-like interface which feels natural in relational database and addresses all of these concerns. For other advantages of querying information_schema over using SHOW statements, see MySQL's documentation on the topic.

More importantly, in order to perform schema reflection, a large majority of ORMs and other database tools query metadata tables within the information_schema. Without proper support for these meta table, many tools simply cannot be used with CockroachDB. This is an issue, as support for these tools is critical for user accessibility of CockroachDB. Because of this widespread usage of information_schema, adding support for the standard will be a major step towards supporting a group of ORMs and other tools, and by extension, expanding the ecosystem around CockroachDB.

Detailed design

Relation to VIEWs

information_schema tables are commonly referred to as VIEWs. This is because they are not base tables, so there are no files associated with them. On top of this, they are read-only tables, so one can only read their contents, and cannot perform INSERT, UPDATE, or DELETE operations on them.

However, while information_schema tables are conceptually similar to read-only views, they are handled differently than standard user-level VIEWs in most databases. For instance, in MySQL information_schema tables are temporary tables that are created and filled on demand. The reason for this is that a VIEW is a mapping from an ordinary base table to a virtual table. However, the data stored in the information_schema is not stored in any underlying table, so the "tables" need to supply data themselves. All this goes to say that even though future implementation efforts towards adding support for VIEWs to CockroachDB may touch information_schema code, the features can and should be developed independently from each other.

General Implementation Concerns

There are two general implementation concerns that need to be considered for the introduction of information_schema into CockroachDB. The first concern is that the information_schema database and the tables it contains should behave exactly like all other databases and tables, respectively. Regardless of how they are implemented, they should be indistinguishable from persisted relations. The second concern is that the tables need to produce the correct information when queried by performing a form of database introspection.

Virtual Database and Table Descriptors

To address the first implementation concern, this RFC proposes that we hardcode a set of static database and table descriptors for the new database and all new tables needed for the information_schema. This will be similar to the approach taken for SystemDatabase, except there is no need to actually store the descriptors in an underlying Cockroach KV store during cluster bootstrap, because they will not need to be modified. These descriptors will all be given read-only privileges, just like the majority of system tables.

Interactions with these "virtual" database and table descriptors will be handled by sql.planner's implementation of DatabaseAccessor and SchemaAccessor, respectively. By handling these descriptors at this level, we can avoid having to add special-cases for information_schema constructs at abstraction levels above this. Desired behavior which this would naturally provide is:

  • Preventing the creation of databases called "information_schema"
  • Preventing the creation of tables in the "information_schema" (read-only database privileges)
  • Preventing the mutation of tables in the "information_schema" (read-only table privileges)

Virtual Data Sources

To address the second implementation concern, the RFC proposes that we catch queries to these virtual descriptors in planner.getDataSource, and return a valuesNode instead of a scanNode with desired information populated. Using a valueNode in this way draws direct parallels to our current implementation of SHOW statements. It allows us to mock out the table scan, and populate the provided values using arbitrary code.

pg_catalog

pg_catalog is a PostgreSQL extension database that predates the introduction of information_schema to the SQL standard. PostgreSQL maps all information_schema "tables" to pg_catalog through the use of VIEWS. While it would be ideal to only support information_schema, as it is part of the SQL standard and present in most databases (as opposed to just PostgreSQL), there does seem to be a demand for an implementation of pg_catalog as well. This demand comes from:

  • PostgreSQL-specific tools and ORMs, which do not make an effort to be cross platform compatible
  • PostgreSQL-specific drivers, which do not make an effort to be cross platform compatible
  • Legacy cross-platform tools and ORMs, which special-case the use of pg_catalog for any database exposing the PostgreSQL wire protocol

The RFC proposes to map all pg_catalog tables to queries on the information_schema, in a similar way that PostgreSQL does (but in the opposite direction). Ideally this would be completed with VIEWs, but there are a few downsides to this. These include that the eventual implementation of VIEWs will require ViewDescriptors to be distributed, which is unnecessary for a static VIEW. Instead, it would be simpler to map pg_catalog queries directly to information_schema queries in code. However, this RFC also proposes that we push off a more detailed discussion on pg_catalog until the implementation of information_schema is complete.

Standards Considerations

It is advised that we take a similar approach to MySQL in its representation of information_schema. The information_schema table structure will follow the ANSI/ISO SQL:2003 standard Part 11 Schemata. The intent is approximate compliance with SQL:2003 core feature F021 Basic information schema.

Additionally, MySQL provides a number of extensions to their implementation of the information_schema. An example of this is the inclusion of an ENGINE column in their INFORMATION_SCHEMA.TABLES table. The database also excludes columns that do not make sense to include given their SQL implementation. Similarly, we will omit columns that are not relevant for our implementation, and add CockroachDB-specific extension columns if any specific need for them arises.

CockroachDB-specific information which makes sense to add to our information_schema implementation includes:

  • column families
  • interleaved tables
  • index stored columns

Privileges

All users will have access to the information_schema tables, but they will only be able to see rows which they have access to. The same privileges will apply to selecting information from information_schema and viewing the same information through SHOW statements. This will be a change from our current implementation of SHOW statements, where we generally return all instances of a given object, even those that a user does not have privileges for.

This approach to access control for the information_schema is identical to MySQL's.

Other Concerns

SHOW Statements

Our inclusion of SHOW statements was inspired by MySQL. In MySQL, SHOW statements were added as the primary means of schema reflection before information_schema was introduced to the SQL standard. Shortly after it was introduced, MySQL added support for the meta tables, and began mapping SHOW statements directly onto SELECT statements from these virtual tables.

This RFC proposes that sometime after support for information_schema is added, we follow MySQL's lead and turn SHOW statements into a wrapper around information_schema queries. This will help eliminate duplicate implementations and simplify SHOW statement handling significantly.

Schema Search Path Extension (only needed for pg_catalog support)

PostgreSQL has a notion of a "Schema Search Path". In much the same way that we support the SET database = xyz, which will search for unqualified table names in the xyz database, the schema search path allows unqualified table names to be associated with a specific database/table pair. However, unlike our session database setting, PostgreSQL allows multiple databases to be in the search path. This is important because a large percent of the the time that pg_catalog tables are referenced in ORMs and other external tools, they are referenced using unqualified table names. For instance, a number of the ORMs use pg_catalog like:

SELECT * from pg_class

instead of

SELECT * from pg_catalog.pg_class

The reason this is allowed is because PostgreSQL includes pg_catalog in its database search path by default. In order to support this use case, we should extend our notion of a single database search path to a set of search paths. Like support for pg_catalog, this does not need to be completed during the initial implementation of this RFC.

Drawbacks

  • Complicates some SQL descriptor logic
  • Complicates database introspection on itself (ie. SHOW TABLES FROM information_schema)
  • Adds a few special cases to the query engine, but this is much less intrusive than if we tried to mock out the database and table existence at a higher level than descriptors

Alternatives

  • Create and maintain real tables just like we do with SystemDB tables
  • Mock out database and table existence at a higher level than virtual descriptors
  • Begin building out VIEW infrastructure, and treat information_schema like a read-only view. As noted in Relation to VIEWs, this wouldn't actually change very much, and would still require a lot of this work. For instance, we would still need to somehow mock out the existence of the information_schema database itself, and would still need to have the VIEWs source their own introspective data.

Unresolved questions

Information_Schema Across Different Versions of CockroachDB

Because this proposal suggests the use of static virtual descriptors instead of real descriptors persisted to an underlying CockroachDB store, the descriptors used for a given information_schema query will depend on the version of the CockroachDB instance fielding a SQL request. In a mixed-version cluster, this could result in two nodes returning information_schema tables with different schemas if the static schema was altered between the nodes' versions. Still, both nodes will issue replicated transactions internally to populate these tables, so both will return "correct" information.

Inconsistencies where different nodes return different results for a given query can occur today if two nodes are running different versions of our SQL query engine. The only difference is that this change will introduce the possibility of schema inconsistencies because information_schema descriptors may not be consistent between nodes. This shouldn't be a serious issue, but it is something to note.