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# News - 14 series

## Release 14.0.6 - 2024-07-29

### Improvements

- Added support for prefix search without index against vector column.

  We can already prefix search with index against vector column. However, we can’t prefix search without index against vector column until now.

  We can also prefix search without index against vector column as below since this release.

      table_create Users TABLE_NO_KEY
      column_create Users name COLUMN_VECTOR ShortText

      load --table Users
      [
      {"name": ["alice"]},
      {"name": ["bob"]},
      {"name": ["callum"]},
      {"name": ["elly", "alice"]},
      {"name": ["marshal"]}
      ]

      select Users --query 'name:^al'
      [
        [
          0,
          0.0,
          0.0
        ],
        [
          [
            [
              2
            ],
            [
              [
                "_id",
                "UInt32"
              ],
              [
                "name",
                "ShortText"
              ]
            ],
            [
              1,
              [
                "alice"
              ]
            ],
            [
              4,
              [
                "elly",
                "alice"
              ]
            ]
          ]
        ]
      ]

- [Debian GNU/Linux] Dropped support for Debian 11 (bullseye).

## Release 14.0.5 - 2024-07-04

### Improvements

- Dropped support for CentOS 7.

  Because CentOS 7 reached EOL.

- Added a new feature that objects(table or column) as remove as possible.

  The crash safe feature of PGroonga will use this feature mainly.

  PGroonga will apply PGroonga’s WAL to standby database automatically by using `Custom WAL Resource Managers`. However, when PGroonga use `Custom WAL Resource Managers`, all replications are stop if PGroonga fail application of PGroonga’s WAL due to break Groonga’s object. So, if broken objects exist in database, Groonga will try as remove as possible objects by using this feature.

### Fixes

- [query] Fixed a bug that the order of evaluation of `'A || query("...", "B C")'` is wrong

  We expect that `{"name": "Alice", "memo": "Groonga user"}` is hit in the following example. However, if this problem occurred, the following query had not been hit.

      table_create Users TABLE_NO_KEY
      column_create Users name COLUMN_SCALAR ShortText
      column_create Users memo COLUMN_SCALAR ShortText

      load --table Users
      [
      {"name": "Alice", "memo": "Groonga user"},
      {"name": "Bob",   "memo": "Rroonga user"}
      ]
      select Users \
        --output_columns 'name, memo, _score' \
        --filter 'memo @ "Groonga" || query("name", "Bob Rroonga")'
      [[0,0.0,0.0],[[[0],[["name","ShortText"],["memo","ShortText"],["_score","Int32"]]]]]

  After the fix, `{"name": "Alice", "memo": "Groonga user"}` is hit such as the following example.

      select Users \
        --output_columns 'name, memo, _score' \
        --filter 'memo @ "Groonga" || query("name", "Bob Rroonga")'
      [
        [
          0,
          1719376617.537505,
          0.002481460571289062
        ],
        [
          [
            [
              1
            ],
            [
              [
                "name",
                "ShortText"
              ],
              [
                "memo",
                "ShortText"
              ],
              [
                "_score",
                "Int32"
              ]
            ],
            [
              "Alice",
              "Groonga user",
              1
            ]
          ]
        ]
      ]

  Here is occurrence condition of this problem.

  - We use `OR` search and `query()`.

  - We use `AND` search in `query()`.

  - The order of condition expression is `'A || query("...", "B C")'`.

  So, this problem doesn’t occur if we use only `query()` or we don’t use `AND` search in `query()`.

- [select] Fixed a bug that a condition that evaluate prefix search in advance such as `--query "A* OR B"` returned wrong search result

  This problem may occur when prefix search evaluate in advance. This problem doesn’t occur a condition that evaluate prefix search in the end such as `--query A OR B*`.

  If this problem occur, the `Bo` and the `li` of `--query "Bo* OR li"` are evaluated as a prefix search. As a result, The following query does not hit. Because `li` is evaluated as a prefix search as mentioned above.

      table_create Users TABLE_NO_KEY
      column_create Users name COLUMN_SCALAR ShortText

      load --table Users
      [
      ["name"],
      ["Alice"]
      ]

      select Users \
        --match_columns name \
        --query "Bo* OR li"
      [
        [
          0,
          1719377505.628048,
          0.0007376670837402344
        ],
        [
          [
            [
              0
            ],
            [
              [
                "_id",
                "UInt32"
              ],
              [
                "name",
                "ShortText"
              ]
            ]
          ]
        ]
      ]

## Release 14.0.4 - 2024-05-29

### Fixes

- [query_parallel_or] Fixed a bug that the match_escalation_threshold or `force_match_escalation` options were ignored when using `query_parallel_or()`.

  Before the fix, even when `match_escalation_threshold` was set to disable match escalation, the results still escalated when we use `query_parallel_or()`. This problem occurred only `query_parallel_or()`. query don’t occur this problem.

  Generally, we don’t disable match escalation. Because we want to get something search results. The number of hits is 0 is the unwelcome result of us. Therefore, this problem has no effect by many users. However, it has effect by user who use stop word as below.

      plugin_register token_filters/stop_word

      table_create Memos TABLE_NO_KEY
      column_create Memos content COLUMN_SCALAR ShortText

      table_create Terms TABLE_PAT_KEY ShortText \
        --default_tokenizer TokenBigram \
        --normalizer NormalizerAuto \
        --token_filters TokenFilterStopWord
      column_create Terms memos_content COLUMN_INDEX|WITH_POSITION Memos content
      column_create Terms is_stop_word COLUMN_SCALAR Bool
      load --table Terms
      [
      {"_key": "and", "is_stop_word": true}
      ]

      load --table Memos
      [
      {"content": "Hello"},
      {"content": "Hello and Good-bye"},
      {"content": "Good-bye"}
      ]

      select Memos \
        --filter 'query_parallel_or(["content", "content", "content", "content"], \
                  "and", \
                  {"options": {"TokenFilterStopWord.enable": true}})' \
        --match_escalation_threshold -1 \
        --sort_keys -_score

  We don’t want to match a keyword that is registered as stopword. Therefore, we set `-1` to `match_escalation_threshold` in the above example. We expect that Groonga doesn’t return records in the above example because of escalation disable and search keyword(`and`) is registered as stopword. However, If this problem occur, Groonga returns match record. Because if we use `query_parallel_or()`, `match_escalation_threshold` doesn’t work.

- Fixed a bug that full-text search againt a reference column of a vector didn’t work.

  This problem has occured Groonga v14.0.0 or later. This problem has effect if we execute full-text search against a reference column of a vector.

  We expected that Groonga returns `[1, "Linux MySQL"]` and `[2, "MySQL Groonga"]` as below example. However, before the fix, Groonga always returned 0 hits as below because of we executed full-text search on a reference column of a vector.

      table_create bugs TABLE_PAT_KEY UInt32

      table_create tags TABLE_PAT_KEY ShortText --default_tokenizer TokenDelimit
      column_create tags name COLUMN_SCALAR ShortText

      column_create bugs tags COLUMN_VECTOR tags

      load --table bugs
      [
      ["_key", "tags"],
      [1, "Linux MySQL"],
      [2, "MySQL Groonga"],
      [3, "Mroonga"]
      ]

      column_create tags bugs_tags_index COLUMN_INDEX bugs tags

      select --table bugs --filter 'tags @ "MySQL"'
      [
        [
          0,
          0.0,
          0.0
        ],
        [
          [
            [
              0
            ],
            [
              [
                "_id",
                "UInt32"
              ],
              [
                "_key",
                "UInt32"
              ],
              [
                "tags",
                "tags"
              ]
            ]
          ]
        ]
      ]

## Release 14.0.3 - 2024-05-09

### Improvements

- We optimized performance as below.

  - We optimized performance of `OR` and `AND` search when the number of hits were many.

  - We optimized performance of prefix search(`@^`).

  - We optimized performance of `AND` search when the number of records of `A` more than `B` in condition of `A AND B`.

  - We optimized performance of search when we used many dynamic columns.

- [TokenNgram] Added new option `ignore_blank`.

  We can replace `TokenBigramIgnoreBlank` with `TokenNgram("ignore_blank", true)` as below.

  Here is example of use `TokenBigram`.

      tokenize TokenBigram "! ! !" NormalizerAuto
      [
        [
          0,
          1715155644.64263,
          0.001013517379760742
        ],
        [
          {
            "value": "!",
            "position": 0,
            "force_prefix": false,
            "force_prefix_search": false
          },
          {
            "value": "!",
            "position": 1,
            "force_prefix": false,
            "force_prefix_search": false
          },
          {
            "value": "!",
            "position": 2,
            "force_prefix": false,
            "force_prefix_search": false
          }
        ]
      ]

  Here is example of use `TokenBigramIgnoreBlank`.

      tokenize TokenBigramIgnoreBlank "! ! !" NormalizerAuto
      [
        [
          0,
          1715155680.323451,
          0.0009913444519042969
        ],
        [
          {
            "value": "!!!",
            "position": 0,
            "force_prefix": false,
            "force_prefix_search": false
          }
        ]
      ]

  Here is example of use `TokenNgram("ignore_blank", true)`.

      tokenize 'TokenNgram("ignore_blank", true)' "! ! !" NormalizerAuto
      [
        [
          0,
          1715155762.340685,
          0.001041412353515625
        ],
        [
          {
            "value": "!!!",
            "position": 0,
            "force_prefix": false,
            "force_prefix_search": false
          }
        ]
      ]

- [Ubuntu] Add support for Ubuntu 24.04 LTS (Noble Numbat).

### Fixes

- [request_cancel] Fix a bug that Groonga may crash when we execute `request_cancel` command while we execute the other query.

- Fixed the unexpected error when using `--post_filter` with `--offset` greater than the post-filtered result

  In the same situation, using `--filter` with `--offset` doesn’t raise the error. This inconsistency in behavior between `--filter` and `--post-filter` has now been resolved.

      table_create Users TABLE_PAT_KEY ShortText
      column_create Users age COLUMN_SCALAR UInt32
      load --table Users
      [
        ["_key", "age"],
        ["Alice", 21],
        ["Bob", 22],
        ["Chris", 23],
        ["Diana", 24],
        ["Emily", 25]
      ]
      select Users \
        --filter 'age >= 22' \
        --post_filter 'age <= 24' \
        --offset 3 \
        --sort_keys -age --output_pretty yes
      [
        [
          -68,
          1715224057.317582,
          0.001833438873291016,
          "[table][sort] grn_output_range_normalize failed",
          [
            [
              "grn_table_sort",
              "/home/horimoto/Work/free-software/groonga.tag/lib/sort.c",
              1052
            ]
          ]
        ]
      ]

- Fixed a bug where incorrect search result could be returned when not all phrases within `(...)` matched using near phrase product.

  For example, there is no record which matched `(2)` condition using `--query '*NPP1"(a) (2)"'`. In this case, the expected behavior would be return no record. However, the actual behavior was equal to the query `--query '*NPP and "(a)"` as below. This means that despite no records matched `(2)`, records like `ax1` and `axx1` were incorrectly returned.

      table_create Entries TABLE_NO_KEY
      column_create Entries content COLUMN_SCALAR Text

      table_create Terms TABLE_PAT_KEY ShortText   --default_tokenizer TokenNgram
      column_create Terms entries_content COLUMN_INDEX|WITH_POSITION Entries content
      load --table Entries
      [
      {"content": "ax1"},
      {"content": "axx1"}
      ]

      select Entries \
        --match_columns content \
        --query '*NPP1"(a) (2)"' \
        --output_columns 'content'
      [
        [
          0,
          1715224211.050228,
          0.001366376876831055
        ],
        [
          [
            [
              2
            ],
            [
              [
                "content",
                "Text"
              ]
            ],
            [
              "ax1"
            ],
            [
              "axx1"
            ]
          ]
        ]
      ]

- Fixed a bug that rehash failed or data in a table broke when rehash occurred that the table with `TABLE_HASH_KEY` has 2^28 or more records.

- Fixed a bug that highlight position slipped out of place in the following cases.

  - If full width space existed before highlight target characters as below.

    We expected that Groonga returned `"Groonga　<span class=\"keyword\">高</span>速！"`. However, Groonga returned `"Groonga　<span class=\"keyword\">高速</span>！"` as below.

        table_create Entries TABLE_NO_KEY
        column_create Entries body COLUMN_SCALAR ShortText

        table_create Terms TABLE_PAT_KEY ShortText \
          --default_tokenizer 'TokenNgram("report_source_location", true)' \
          --normalizer 'NormalizerNFKC150("report_source_offset", true)'
        column_create Terms document_index COLUMN_INDEX|WITH_POSITION Entries body

        load --table Entries
        [
        {"body": "Groonga　高速！"}
        ]
        select Entries \
          --output_columns \
          --match_columns body \
          --query '高' \
          --output_columns 'highlight_html(body, Terms)'
        [
          [
            0,
            1715215640.979517,
            0.001608610153198242
          ],
          [
            [
              [
                1
              ],
              [
                [
                  "highlight_html",
                  null
                ]
              ],
              [
                "Groonga　<span class=\"keyword\">高速</span>！"
              ]
            ]
          ]
        ]

  - If we used `TokenNgram("loose_blank", true)` and if highlight target characters included full width space as below.

    We expected that Groonga returned `"<span class=\"keyword\">山田 太郎</span>"`. However, Groonga returned `"<span class=\"keyword\">山田 太</span>"` as below.

        table_create Entries TABLE_NO_KEY
        column_create Entries body COLUMN_SCALAR ShortText

        table_create Terms TABLE_PAT_KEY ShortText \
          --default_tokenizer 'TokenNgram("loose_blank", true, "report_source_location", true)' \
          --normalizer 'NormalizerNFKC150("report_source_offset", true)'
        column_create Terms document_index COLUMN_INDEX|WITH_POSITION Entries body

        load --table Entries
        [
        {"body": "山田 太郎"}
        ]

        select Entries --output_columns \
          --match_columns body --query '山田太郎' \
          --output_columns 'highlight_html(body, Terms)' --output_pretty yes
        [
          [
            0,
            1715220409.096246,
            0.0004854202270507812
          ],
          [
            [
              [
                1
              ],
              [
                [
                  "highlight_html",
                  null
                ]
              ],
              [
                "<span class=\"keyword\">山田 太</span>"
              ]
            ]
          ]
        ]

  - If white space existed in the front of highlight target characters as below.

    We expected that Groonga returned `" <span class=\"keyword\">山</span>田太郎"`. However, Groonga returned `" <span class=\"keyword\">山</span>"` as below.

        table_create Entries TABLE_NO_KEY
        column_create Entries body COLUMN_SCALAR ShortText

        table_create Terms TABLE_PAT_KEY ShortText \
          --default_tokenizer 'TokenNgram("report_source_location", true)' \
          --normalizer 'NormalizerNFKC150("report_source_offset", true)'
        column_create Terms document_index COLUMN_INDEX|WITH_POSITION Entries body

        load --table Entries
        [
        {"body": " 山田太郎"}
        ]

        select Entries \
          --output_columns \
          --match_columns body \
          --query '山' \
          --output_columns 'highlight_html(body, Terms)' --output_pretty yes
        [
          [
            0,
            1715221627.002193,
            0.001977920532226562
          ],
          [
            [
              [
                1
              ],
              [
                [
                  "highlight_html",
                  null
                ]
              ],
              [
                " <span class=\"keyword\">山</span>"
              ]
            ]
          ]
        ]

  - If the second character of highlight target was full width space as below.

    We expected that Groonga returned `"<span class=\"keyword\">山　田</span>太郎"`. However, Groonga returned `"<span class=\"keyword\">山　田太</span>郎"` as below.

        table_create Entries TABLE_NO_KEY
        column_create Entries body COLUMN_SCALAR ShortText

        table_create Terms TABLE_PAT_KEY ShortText \
          --default_tokenizer 'TokenNgram("report_source_location", true)' \
          --normalizer 'NormalizerNFKC150("report_source_offset", true)'
        column_create Terms document_index COLUMN_INDEX|WITH_POSITION Entries body

        load --table Entries
        [
        {"body": "山　田太郎"}
        ]

        select Entries \
          --output_columns \
          --match_columns body \
          --query '山　田' \
          --output_columns 'highlight_html(body, Terms)'
        [
          [
            0,
            1715222501.496007,
            0.0005536079406738281
          ],
          [
            [
              [
                0
              ],
              [
                [
                  "highlight_html",
                  "<span class=\"keyword\">山　田太</span>郎"
                ]
              ]
            ]
          ]
        ]

## Release 14.0.2 - 2024-03-29

### Improvements

- Reduced a log level of a log when Groonga setting normalizers/tokenizer/token_filters against temporary table.

  For example, the target log of this modification is the following log.

      DDL:1234567890:set_normalizers NormalizerAuto

  PGroonga sets normalizers against temporary table on start. So, this log becomes noise. Because this log become output when PGroonga start because of PGroonga’s default log level is `notice`.

  Therefore, we reduce log level to `debug` for the log since this release. Thus, this log does not output when PGroonga start in default.

## Release 14.0.1 - 2024-03-14

### Improvements

- [load] Stopped reporting an error when we `load` key that becomes an empty key by normalization.

  `"-"` becomes `""` with `NormalizerNFKC150("remove_symbol", true)`. So the following case reports a “empty key” error.

      table_create Values TABLE_HASH_KEY ShortText \
        --normalizers 'NormalizerNFKC150("remove_symbol", true)'
      table_create Data TABLE_NO_KEY
      column_create Data value COLUMN_SCALAR Values
      load --table Data
      [
      {"value": "-"}
      ]

  However, if we many `load` in such data, many error log are generated. Because Groonga output many “empty key” error because of Groonga can’t register empty string to index.

  No problem even if empty string can’t register to index in such case. Because we don’t match anything even if we search by empty string. So, we stop reporting an “empty key” error in such case.

### Fixes

- Fixed a crash bug if a request is canceled between or range search.

  This bug doesn’t necessarily occur. This bug occur when we cancel a request in the specific timing. This bug occur easily when search time is long such as sequential search.

- Fixed a bug that highlight_html may return invalid result when the following conditions are met.

  - We use multiple normalizers such as `NormalizerTable` and `NormalizerNFKC150`.

  - We highlight string include whitespace.

  For example, this bug occur such as the following case.

      table_create NormalizationsIndex TABLE_PAT_KEY ShortText --normalizer NormalizerAuto

      table_create Normalizations TABLE_HASH_KEY UInt64
      column_create Normalizations normalized COLUMN_SCALAR LongText
      column_create Normalizations target COLUMN_SCALAR NormalizationsIndex

      column_create NormalizationsIndex index COLUMN_INDEX Normalizations target

      table_create Lexicon TABLE_PAT_KEY ShortText \
        --normalizers 'NormalizerTable("normalized", \
                                       "Normalizations.normalized", \
                                       "target", \
                                       "target"), NormalizerNFKC150'

      table_create Names TABLE_HASH_KEY UInt64
      column_create Names name COLUMN_SCALAR Lexicon

      load --table Names
      [
      ["_key","name"],
      [1,"Sato Toshio"]
      ]

      select Names \
        --query '_key:1 OR name._key:@"Toshio"' \
        --output_columns 'highlight_html(name._key, Lexicon)

      [
        [
          0,
          1710401574.332274,
          0.001911401748657227
        ],
        [
          [
            [
              1
            ],
            [
              [
                "highlight_html",
                null
              ]
            ],
            [
              "sato <span class=\"keyword\">toshi</span>o"
            ]
          ]
        ]
      ]

- [Ubuntu] We become able to provide package for Ubuntu again.

  We don’t provide packages for Ubuntu in Groonga version 14.0.0. Because we fail makeing Groonga package for Ubuntu by problrm of build environment for Ubuntu package.

  We fixed problrm of build environment for Ubuntu package in 14.0.1. So, we can provide packages for Ubuntu again since this release.

- Fixed build error when we build from source by using `clang`. [GitHub#1738][Reported by windymelt]

### Thanks

- windymelt

## Release 14.0.0 - 2024-02-29

This is a major version up! But It keeps backward compatibility. We can upgrade to 14.0.0 without rebuilding database.

### Improvements

- Added a new tokenizer `TokenH3Index` (experimental).

  `TokenH3Index`tokenizes WGS84GetPoint to UInt64(H3 index).

- Added support for offline and online index construction with non text based tokenizer (experimental).

  `TokenH3Index` is one of non text based tokenizers.

- [select] Added support for searching by index with non text based tokenizer (experimental).

  `TokenH3Index` is one of non text based tokenizers.

- Added new functions `distance_cosine()`, `distance_inner_product()`, `distance_l2_norm_squared()`, `distance_l1_norm()`.

  We can only get records that a small distance as vector with these functions and `limit N`

  These functions calculate distance in the `output` stage.

  However, we don’t optimaize these functions yet.

  - `distance_cosine()`: Calculate cosine similarity.

  - `distance_inner_product()`: Calculate inner product.

  - `distance_l2_norm_squared()`: Calculate euclidean distance.

  - `distance_l1_norm()`: Calculate manhattan distance.

- Added a new function `number_round()`.

- [load] Added support for parallel `load`.

  This feature only enable when the `input_type` of `load` is `apache-arrow`.

  This feature one thread per column. If there are many target columns, it will reduce load time.

- [select] We can use uvector as much as possible for array literal in `--filter`.

  uvector is vector of elements with fix size.

  If all elements have the same type, we use uvector instead vector.

- [status] Added `n_workers` to output of `status`.

- Optimized a dynamic column creation.

- [WAL] Added support for rebuilding broken indexes in parallel.

- [select] Added support for `Int64` in `output_type=apache-arrow` for columns that reference other table.

### Fixes

- [Windows] Fixed path for documents of `groonga-normalizer-mysql` in package for Windows.

  Documents of `groonga-normalizer-mysql` put under the `share/` in this release.

- [select] Fixed a bug that Groonga may crash when we use bitwise operations.