Normally you don't have to worry about that at all.

However, if there has been a mass delete or update, or the sustained change rate was so high that autovacuum couldn't keep up, you may end up with a badly bloated index.

The tool to determine that id the pgstattuple extension:

CREATE EXTENSION pgstattuple;

Then you can examine index bloat like this:

SELECT * FROM pgstatindex('spatial_ref_sys_pkey');

-[ RECORD 1 ]------+-------
version            | 2
tree_level         | 1
index_size         | 196608
root_block_no      | 3
internal_pages     | 1
leaf_pages         | 22
empty_pages        | 0
deleted_pages      | 0
avg_leaf_density   | 64.48
leaf_fragmentation | 13.64

This index is in excellent shape (never used): It has only 14% bloat.

Mind that indexes are by default created with a fillfactor of 90, that is, index blocks are not filled to more than 90% by INSERT.

It is hard to say when an index is bloated, but if leaf_fragmentation exceeds 50-60, it's not so pretty.

To reorganize an index, use REINDEX.

You can use pgstatindex from the pgstattuple extension to get the leaf fragmentation of all B-tree indexes:

SELECT i.indexrelid::regclass,
       s.leaf_fragmentation
FROM pg_index AS i
   JOIN pg_class AS t ON i.indexrelid = t.oid
   JOIN pg_opclass AS opc ON i.indclass[0] = opc.oid
   JOIN pg_am ON opc.opcmethod = pg_am.oid
   CROSS JOIN LATERAL pgstatindex(i.indexrelid) AS s
WHERE t.relkind = 'i'
  AND pg_am.amname = 'btree';

This will scan through all these indexes and might take a long time.

Note that it is normal for an index to be up to 70% fragmented.

Fragmentation is often called bloat in PostgreSQL. It relates to its implementation of MVCC where rows are not updated in place or directly deleted, but are copied with a different ID. Those rows are then made visible or invisible depending on the transaction looking at the data. You can start looking at the wiki Show database bloat for more information on fragmentation issues. Bearing in mind that this query will not give you exact numbers, it's a useful tool to have:

SELECT
  current_database(), schemaname, tablename, /*reltuples::bigint, relpages::bigint, otta,*/
  ROUND((CASE WHEN otta=0 THEN 0.0 ELSE sml.relpages::FLOAT/otta END)::NUMERIC,1) AS tbloat,
  CASE WHEN relpages < otta THEN 0 ELSE bs*(sml.relpages-otta)::BIGINT END AS wastedbytes,
  iname, /*ituples::bigint, ipages::bigint, iotta,*/
  ROUND((CASE WHEN iotta=0 OR ipages=0 THEN 0.0 ELSE ipages::FLOAT/iotta END)::NUMERIC,1) AS ibloat,
  CASE WHEN ipages < iotta THEN 0 ELSE bs*(ipages-iotta) END AS wastedibytes
FROM (
  SELECT
    schemaname, tablename, cc.reltuples, cc.relpages, bs,
    CEIL((cc.reltuples*((datahdr+ma-
      (CASE WHEN datahdr%ma=0 THEN ma ELSE datahdr%ma END))+nullhdr2+4))/(bs-20::FLOAT)) AS otta,
    COALESCE(c2.relname,'?') AS iname, COALESCE(c2.reltuples,0) AS ituples, COALESCE(c2.relpages,0) AS ipages,
    COALESCE(CEIL((c2.reltuples*(datahdr-12))/(bs-20::FLOAT)),0) AS iotta -- very rough approximation, assumes all cols
  FROM (
    SELECT
      ma,bs,schemaname,tablename,
      (datawidth+(hdr+ma-(CASE WHEN hdr%ma=0 THEN ma ELSE hdr%ma END)))::NUMERIC AS datahdr,
      (maxfracsum*(nullhdr+ma-(CASE WHEN nullhdr%ma=0 THEN ma ELSE nullhdr%ma END))) AS nullhdr2
    FROM (
      SELECT
        schemaname, tablename, hdr, ma, bs,
        SUM((1-null_frac)*avg_width) AS datawidth,
        MAX(null_frac) AS maxfracsum,
        hdr+(
          SELECT 1+COUNT(*)/8
          FROM pg_stats s2
          WHERE null_frac<>0 AND s2.schemaname = s.schemaname AND s2.tablename = s.tablename
        ) AS nullhdr
      FROM pg_stats s, (
        SELECT
          (SELECT current_setting('block_size')::NUMERIC) AS bs,
          CASE WHEN SUBSTRING(v,12,3) IN ('8.0','8.1','8.2') THEN 27 ELSE 23 END AS hdr,
          CASE WHEN v ~ 'mingw32' THEN 8 ELSE 4 END AS ma
        FROM (SELECT version() AS v) AS foo
      ) AS constants
      GROUP BY 1,2,3,4,5
    ) AS foo
  ) AS rs
  JOIN pg_class cc ON cc.relname = rs.tablename
  JOIN pg_namespace nn ON cc.relnamespace = nn.oid AND nn.nspname = rs.schemaname AND nn.nspname <> 'information_schema'
  LEFT JOIN pg_index i ON indrelid = cc.oid
  LEFT JOIN pg_class c2 ON c2.oid = i.indexrelid
) AS sml
ORDER BY wastedbytes DESC;

Once you know where bloat is happening, you can take measures to clean the table. The operation is called VACUUMing and can be launched on demand. It is also usually done in the background with the autovacuum worker, so please do not disable it.

As noted in https://www.postgresql.org/support/versioning/, PostgreSQL 9.1 has been unsupported for one year, consider upgrading.

I think leaf_fragmentation is the percentage of leaf pages where the following leaf page has a lower block number. This is relevant for performance, because for an index range scan on a fragmented index, the kernel won't detect a sequential scan, and its read-ahead mechanism is defied.

But for me, the more important column is avg_leaf_density. If that is too low, your index is bloated and inefficient.

The question what values are OK is a difficult one. I'd say that anything over 30% is fine, but 20% is not terrible either.

If you are unsure whether to rebuild an index or not, ask yourself the following:

• If you observe the bloat over time, does it continuously increase? If yes, that is bad, and a REINDEX is probably necessary.

• If the bloat stays high, but does not increase, REINDEX once and observe

  • Does that improve the performance of your application?

  • Does the index get bloated again until it is as bloated as before?

  "No" to the second question would suggest to leave the index alone.

If you decide to REINDEX, explore if more aggressive autovacuum settings on the affected table can keep the bloat down.