1. Added README with instruction how to use https://app.chartdb.io
2. Added command to export schema from sqlite database
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README.md
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README.md
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# Create DB Schema in chartdb.io
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1. go to https://app.chartdb.io
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2. klick "Import"
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2. execute in terminal: `sqlite3 db.sqlite3 <create_schema_chartdb.io > import_chartdb.io`
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3. copy contents of `import_chartdb.io`
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165
create_schema_chartdb.io
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create_schema_chartdb.io
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WITH fk_info AS (
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SELECT
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json_group_array(
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json_object(
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'schema', '', -- SQLite does not have schemas
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'table', m.name,
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'column', fk."from",
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'foreign_key_name',
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'fk_' || m.name || '_' || fk."from" || '_' || fk."table" || '_' || fk."to", -- Generated foreign key name
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'reference_schema', '', -- SQLite does not have schemas
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'reference_table', fk."table",
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'reference_column', fk."to",
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'fk_def',
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'FOREIGN KEY (' || fk."from" || ') REFERENCES ' || fk."table" || '(' || fk."to" || ')' ||
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' ON UPDATE ' || fk.on_update || ' ON DELETE ' || fk.on_delete
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)
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) AS fk_metadata
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FROM
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sqlite_master m
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JOIN
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pragma_foreign_key_list(m.name) fk
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ON
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m.type = 'table'
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), pk_info AS (
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SELECT
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json_group_array(
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json_object(
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'schema', '', -- SQLite does not have schemas
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'table', pk.table_name,
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'field_count', pk.field_count,
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'column', pk.pk_column,
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'pk_def', 'PRIMARY KEY (' || pk.pk_column || ')'
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)
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) AS pk_metadata
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FROM
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(
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SELECT
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m.name AS table_name,
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COUNT(p.name) AS field_count, -- Count of primary key columns
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GROUP_CONCAT(p.name) AS pk_column -- Concatenated list of primary key columns
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FROM
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sqlite_master m
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JOIN
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pragma_table_info(m.name) p
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ON
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m.type = 'table' AND p.pk > 0
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GROUP BY
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m.name
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) pk
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), indexes_metadata AS (
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SELECT
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json_group_array(
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json_object(
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'schema', '', -- SQLite does not have schemas
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'table', m.name,
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'name', idx.name,
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'column', ic.name,
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'index_type', 'B-TREE', -- SQLite uses B-Trees for indexing
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'cardinality', '', -- SQLite does not provide cardinality
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'size', '', -- SQLite does not provide index size
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'unique', (CASE WHEN idx."unique" = 1 THEN 'true' ELSE 'false' END),
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'direction', '', -- SQLite does not provide direction info
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'column_position', ic.seqno + 1 -- Adding 1 to convert from zero-based to one-based index
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)
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) AS indexes_metadata
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FROM
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sqlite_master m
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JOIN
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pragma_index_list(m.name) idx
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ON
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m.type = 'table'
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JOIN
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pragma_index_info(idx.name) ic
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), cols AS (
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SELECT
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json_group_array(
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json_object(
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'schema', '', -- SQLite does not have schemas
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'table', m.name,
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'name', p.name,
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'type',
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CASE
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WHEN INSTR(LOWER(p.type), '(') > 0 THEN
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SUBSTR(LOWER(p.type), 1, INSTR(LOWER(p.type), '(') - 1)
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ELSE LOWER(p.type)
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END,
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'ordinal_position', p.cid,
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'nullable', (CASE WHEN p."notnull" = 0 THEN true ELSE false END),
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'collation', '',
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'character_maximum_length',
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CASE
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WHEN LOWER(p.type) LIKE 'char%' OR LOWER(p.type) LIKE 'varchar%' THEN
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CASE
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WHEN INSTR(p.type, '(') > 0 THEN
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REPLACE(SUBSTR(p.type, INSTR(p.type, '(') + 1, LENGTH(p.type) - INSTR(p.type, '(') - 1), ')', '')
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ELSE 'null'
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END
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ELSE 'null'
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END,
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'precision',
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CASE
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WHEN LOWER(p.type) LIKE 'decimal%' OR LOWER(p.type) LIKE 'numeric%' THEN
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CASE
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WHEN instr(p.type, '(') > 0 THEN
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json_object(
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'precision', substr(p.type, instr(p.type, '(') + 1, instr(p.type, ',') - instr(p.type, '(') - 1),
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'scale', substr(p.type, instr(p.type, ',') + 1, instr(p.type, ')') - instr(p.type, ',') - 1)
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)
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ELSE 'null'
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END
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ELSE 'null'
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END,
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'default', COALESCE(REPLACE(p.dflt_value, '"', '\"'), '')
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)
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) AS cols_metadata
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FROM
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sqlite_master m
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JOIN
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pragma_table_info(m.name) p
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ON
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m.type in ('table', 'view')
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), tbls AS (
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SELECT
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json_group_array(
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json_object(
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'schema', '', -- SQLite does not have schemas
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'table', m.name,
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'rows', -1,
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'type', 'table',
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'engine', '', -- SQLite does not use storage engines
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'collation', '' -- Collation information is not available
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)
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) AS tbls_metadata
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FROM
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sqlite_master m
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WHERE
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m.type in ('table', 'view')
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), views AS (
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SELECT
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json_group_array(
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json_object(
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'schema', '',
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'view_name', m.name
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)
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) AS views_metadata
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FROM
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sqlite_master m
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WHERE
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m.type = 'view'
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)
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SELECT
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replace(replace(replace(
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json_object(
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'fk_info', (SELECT fk_metadata FROM fk_info),
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'pk_info', (SELECT pk_metadata FROM pk_info),
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'columns', (SELECT cols_metadata FROM cols),
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'indexes', (SELECT indexes_metadata FROM indexes_metadata),
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'tables', (SELECT tbls_metadata FROM tbls),
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'views', (SELECT views_metadata FROM views),
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'database_name', 'sqlite',
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'version', sqlite_version()
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),
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'\"', '"'),'"[', '['), ']"', ']'
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) AS metadata_json_to_import;
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