As we merge with upstream and by that keep refining the Postgres
planner, legacy planner is no longer a suitable name. This changes
all variations of the spelling (legacy planner, legacy optimizer,
legacy query optimizer etc) to say "Postgres" rather than "legacy".
Reviewed-by: NVenkatesh Raghavan <vraghavan@pivotal.io>
Reviewed-by: NDavid Yozie <dyozie@pivotal.io>
Reviewed-by: NGeorgios Kokolatos <gkokolatos@pivotal.io>

We used to call some node types different names in EXPLAIN output,
depending on whether the plan was generated by ORCA or the Postgres
planner. Also, a Bitmap Heap Scan used to be called differently, when the
table was an AO or AOCS table, but only in planner-generated plans. There
was some historical justification for this, because they used to
be different executor node types, but commit db516347 removed last such
differences.

Full list of renames:

Table Scan -> Seq Scan
Append-only Scan -> Seq Scan
Append-only Columnar Scan -> Seq Scan
Dynamic Table Scan -> Dynamic Seq Scan
Bitmap Table Scan -> Bitmap Heap Scan
Bitmap Append-Only Row-Oriented Scan -> Bitmap Heap Scan
Bitmap Append-Only Column-Oriented Scan -> Bitmap Heap Scan
Dynamic Bitmap Table Scan -> Dynamic Bitmap Heap Scan

The Greenplum specific error handling via ereport()/elog() calls was
in need of a unification effort as some parts of the code was using a
different messaging style to others (and to upstream). This aims at
bringing many of the GPDB error calls in line with the upstream error
message writing guidelines and thus make the user experience of
Greenplum more consistent.

The main contributions of this patch are:

* errmsg() messages shall start with a lowercase letter, and not end
  with a period. errhint() and errdetail() shall be complete sentences
  starting with capital letter and ending with a period. This attempts
  to fix this on as many ereport() calls as possible, with too detailed
  errmsg() content broken up into details and hints where possible.

* Reindent ereport() calls to be more consistent with the common style
  used in upstream and most parts of Greenplum:

	ereport(ERROR,
			(errcode(<CODE>),
			 errmsg("short message describing error"),
			 errhint("Longer message as a complete sentence.")));

* Avoid breaking messages due to long lines since it makes grepping
  for error messages harder when debugging. This is also the de facto
  standard in upstream code.

* Convert a few internal error ereport() calls to elog(). There are
  no doubt more that can be converted, but the low hanging fruit has
  been dealt with. Also convert a few elog() calls which are user
  facing to ereport().

* Update the testfiles to match the new messages.

Spelling and wording is mostly left for a follow-up commit, as this was
getting big enough as it was. The most obvious cases have been handled
but there is work left to be done here.

Discussion: https://github.com/greenplum-db/gpdb/pull/6378Reviewed-by: NAshwin Agrawal <aagrawal@pivotal.io>
Reviewed-by: NHeikki Linnakangas <hlinnakangas@pivotal.io>

This commit fixes wrong results with correlated queries (#6074),
the issue is introduced by commit 2c011ce4 in which it made a bad
decision to call ExecSquelchNode() in RESULT node.

The original thought in 2c011ce4 is, once the one-time filter qual
of a RESULT node is evaluated to be false, we no longer need to
fetch tuple from child node, so it's safe to send a stop message
to source QE senders. Then if the RESULT node is rescanned,
one-time filter is revaluated to be true, RESULT node need to fetch
tuple from child node, however, the QE senders has been stopped and
some tuples are missed. So the first step is reverting the changes
in 2c011ce4 and then add a new test case.

This reverts commit 4750e1b6.

This is the final batch of commits from PostgreSQL 9.2 development,
up to the point where the REL9_2_STABLE branch was created, and 9.3
development started on the PostgreSQL master branch.

Notable upstream changes:

* Index-only scan was included in the batch of upstream commits. It
  allows queries to retrieve data only from indexes, avoiding heap access.

* Group commit was added to work effectively under heavy load. Previously,
  batching of commits became ineffective as the write workload increased,
  because of internal lock contention.

* A new fast-path lock mechanism was added to reduce the overhead of
  taking and releasing certain types of locks which are taken and released
  very frequently but rarely conflict.

* The new "parameterized path" mechanism was added. It allows inner index
  scans to use values from relations that are more than one join level up
  from the scan. This can greatly improve performance in situations where
  semantic restrictions (such as outer joins) limit the allowed join orderings.

* SP-GiST (Space-Partitioned GiST) index access method was added to support
  unbalanced partitioned search structures. For suitable problems, SP-GiST can
  be faster than GiST in both index build time and search time.

* Checkpoints now are performed by a dedicated background process. Formerly
  the background writer did both dirty-page writing and checkpointing. Separating
  this into two processes allows each goal to be accomplished more predictably.

* Custom plan was supported for specific parameter values even when using
  prepared statements.

* API for FDW was improved to provide multiple access "paths" for their tables,
  allowing more flexibility in join planning.

* Security_barrier option was added for views to prevents optimizations that
  might allow view-protected data to be exposed to users.

* Range data type was added to store a lower and upper bound belonging to its
  base data type.

* CTAS (CREATE TABLE AS/SELECT INTO) is now treated as utility statement. The
  SELECT query is planned during the execution of the utility. To conform to
  this change, GPDB executes the utility statement only on QD and dispatches
  the plan of the SELECT query to QEs.
Co-authored-by: NAdam Lee <ali@pivotal.io>
Co-authored-by: NAlexandra Wang <lewang@pivotal.io>
Co-authored-by: NAshwin Agrawal <aagrawal@pivotal.io>
Co-authored-by: NAsim R P <apraveen@pivotal.io>
Co-authored-by: NDaniel Gustafsson <dgustafsson@pivotal.io>
Co-authored-by: NGang Xiong <gxiong@pivotal.io>
Co-authored-by: NHaozhou Wang <hawang@pivotal.io>
Co-authored-by: NHeikki Linnakangas <hlinnakangas@pivotal.io>
Co-authored-by: NJesse Zhang <sbjesse@gmail.com>
Co-authored-by: NJinbao Chen <jinchen@pivotal.io>
Co-authored-by: NJoao Pereira <jdealmeidapereira@pivotal.io>
Co-authored-by: NMelanie Plageman <mplageman@pivotal.io>
Co-authored-by: NPaul Guo <paulguo@gmail.com>
Co-authored-by: NRichard Guo <guofenglinux@gmail.com>
Co-authored-by: NShujie Zhang <shzhang@pivotal.io>
Co-authored-by: NTaylor Vesely <tvesely@pivotal.io>
Co-authored-by: NZhenghua Lyu <zlv@pivotal.io>

This function had diverged a lot from upstream; post subselect merge.
One of the main reason is that upstream has lot of restrictive checks
which prevent pull-up of EXISTS/NOT EXISTS. GPDB handles them
differently; thus producing a join/initplan or a one-time filter.

The cases that GPDB handles and for which we have not ported the checks
from upstream are as follows:

- AGG with limit count with/without offset
- HAVING clause without AGG
- AGG without HAVING clause

For other conditions, we bail out as upstream. Hence we have added
checks differently for having and aggs inside simplify_EXISTS_query.
Rest of the code is similar to upstream.
Signed-off-by: NEkta Khanna <ekhanna@pivotal.io>

After the introduction of `placeholder` mechanism,
we see some changes in the plan.
These are all good changes in that we remove the
redundant `NOTIN_subquery` subquery scan nodes:

Before
```
...
->  Broadcast Motion 3:3  (slice1; segments: 3)
	->  Subquery Scan "NotIn_SUBQUERY"
		->  Seq Scan on subselect_tbl
			Filter: f3 IS NOT NULL
```
After
```
...
->  Broadcast Motion 3:3  (slice1; segments: 3)
	 ->  Seq Scan on subselect_tbl
	 	 Filter: f3 IS NOT NULL
```

New plans have better cost since we will not be executing
subquery scan for each tuple coming from its OUTER.

We are now consistent with plans produced for same queries
with IN instead of NOT IN.
Signed-off-by: NEkta Khanna <ekhanna@pivotal.io>

In a few cases planner makes a wrong decision about converting a
correlated subquery into a join, which results in:

0. Wrong results because the transformation was not equivalent; OR
0. Execution errors because the plans contained invalid params (across
  slices)

This commit adds tests for those cases.

The different kinds of NOTICE messages regarding table distribution
were using a mix of upper and lower case for 'DISTRIBUTED BY'. Make
them consistent by using upper case for all messages and update the
test files, and atmsort regexes, to match.

Enable NOT IN subquery when merge join on that particular data type is not supported [#120384087] (#1099)

This commit
- backs out the test addition in 9c98a4f8
- adds the test to a more appropriate place: `bfv_subquery`