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fixes for HANA tests
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@BobdenOs
BobdenOs committed Jan 22, 2025
1 parent 9bcd8f4 commit d390395
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Showing 4 changed files with 97 additions and 65 deletions.
16 changes: 15 additions & 1 deletion db-service/lib/cqn2sql.js
View file
Original file line number Diff line number Diff line change
Expand Up @@ -701,7 +701,8 @@ class CQN2SQLRenderer {

if (!elements) {
this.entries = INSERT.rows
const param = this.param.bind(this, { ref: ['?'] })
const param = () => this.param({ ref: ['?'] })
this.updateParams = this.INSERT_rows_unresolved_update
return (this.sql = `INSERT INTO ${this.quote(entity)}${alias ? ' as ' + this.quote(alias) : ''} (${this.columns.map(c => this.quote(c))}) VALUES (${columns.map(param)})`)
}

Expand All @@ -728,6 +729,19 @@ class CQN2SQLRenderer {
this.entries = [[stream]]
}

INSERT_rows_unresolved_update(entries) {
entries = Array.isArray(entries?.[0]) ? entries : [entries]

const params = this.params
this.params = undefined
this.entries = []
for(const row of entries) {
this.values = []
params.forEach(p => this.val({ val: row[p] }))
this.entries.push(this.values)
}
}

/**
* Renders an INSERT query with values property
* @param {import('./infer/cqn').INSERT} q
Expand Down
108 changes: 67 additions & 41 deletions hana/lib/HANAService.js
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Original file line number Diff line number Diff line change
Expand Up @@ -179,7 +179,7 @@ class HANAService extends SQLService {
? entries.reduce((l, c) => l.then(() => this.ensureDBC() && ps.run(c)), Promise.resolve(0))
: entries.length > 1 ? this.ensureDBC() && await ps.runBatch(entries) : this.ensureDBC() && await ps.run(entries[0])
: this.ensureDBC() && ps.run())
return new this.class.InsertResults(cqn, results)
return new this.class.InsertResults(cqn, [results])
} catch (err) {
throw _not_unique(err, 'ENTITY_ALREADY_EXISTS')
}
Expand Down Expand Up @@ -224,7 +224,7 @@ class HANAService extends SQLService {
values.length === 1
? values[0] + (values[0].indexOf(`SELECT '$[' as "_path_"`) < 0 ? pathOrder : '')
: 'SELECT * FROM ' + values.map(v => `(${v})`).join(' UNION ALL ') + pathOrder
)
) + ' WITH HINT(USE_HEX_PLAN,OPTIMIZATION_LEVEL(RULE_BASED))'
DEBUG?.(ret)
return ret
}
Expand Down Expand Up @@ -727,12 +727,32 @@ class HANAService extends SQLService {
: ObjectKeys(INSERT.entries[0])
this.columns = columns

const extractions = this.managed(columns.map(c => ({ name: c })), elements)
const extractions = this._managed = this.managed(columns.map(c => ({ name: c })), elements)

// REVISIT: @cds.extension required
const extraction = extractions.map(c => c.extract)
const converter = extractions.map(c => c.insert)

if (this.params) this.updateParams = this.INSERT_entries_update
else this.INSERT_entries_update(INSERT.entries)

// WITH SRC is used to force HANA to interpret the ? as a NCLOB allowing for streaming of the data
// Additionally for drivers that did allow for streaming of NVARCHAR they quickly reached size limits
// This should allow for 2GB of data to be inserted
// When using a buffer table it would be possible to stream indefinitely
// For the buffer table to work the data has to be sanitized by a complex regular expression
// Which in testing took up about a third of the total time processing time
// With the buffer table approach is also greatly reduces the required memory
// JSON_TABLE parses the whole JSON document at once meaning that the whole JSON document has to be in memory
// With the buffer table approach the data is processed in chunks of a configurable size
// Which allows even smaller HANA systems to process large datasets
// But the chunk size determines the maximum size of a single row
return (this.sql = `INSERT INTO ${this.quote(entity)} (${this.columns.map(c => this.quote(transitions.mapping.get(c)?.ref?.[0] || c))
}) WITH SRC AS (SELECT ? AS JSON FROM DUMMY UNION ALL SELECT TO_NCLOB(NULL) AS JSON FROM DUMMY)
SELECT ${converter} FROM JSON_TABLE(SRC.JSON, '$' COLUMNS(${extraction}) ERROR ON ERROR) AS NEW`)
}

INSERT_entries_update(entries) {
const _stream = entries => {
const stream = Readable.from(this.INSERT_entries_stream(entries, 'hex'), { objectMode: false })
stream.setEncoding('utf-8')
Expand All @@ -741,39 +761,42 @@ class HANAService extends SQLService {
return stream
}

entries = Array.isArray(entries) ? entries : [entries]

// HANA Express does not process large JSON documents
// The limit is somewhere between 64KB and 128KB
if (HANAVERSION <= 2) {
this.entries = INSERT.entries.map(e => (e instanceof Readable
this.entries = entries.map(e => (e instanceof Readable
? [e]
: [_stream([e])]))
} else {
this.entries = [[
INSERT.entries[0] instanceof Readable
? INSERT.entries[0]
: _stream(INSERT.entries)
entries[0] instanceof Readable
? entries[0]
: _stream(entries)
]]
}

// WITH SRC is used to force HANA to interpret the ? as a NCLOB allowing for streaming of the data
// Additionally for drivers that did allow for streaming of NVARCHAR they quickly reached size limits
// This should allow for 2GB of data to be inserted
// When using a buffer table it would be possible to stream indefinitely
// For the buffer table to work the data has to be sanitized by a complex regular expression
// Which in testing took up about a third of the total time processing time
// With the buffer table approach is also greatly reduces the required memory
// JSON_TABLE parses the whole JSON document at once meaning that the whole JSON document has to be in memory
// With the buffer table approach the data is processed in chunks of a configurable size
// Which allows even smaller HANA systems to process large datasets
// But the chunk size determines the maximum size of a single row
return (this.sql = `INSERT INTO ${this.quote(entity)} (${this.columns.map(c => this.quote(transitions.mapping.get(c)?.ref?.[0] || c))
}) WITH SRC AS (SELECT ? AS JSON FROM DUMMY UNION ALL SELECT TO_NCLOB(NULL) AS JSON FROM DUMMY)
SELECT ${converter} FROM JSON_TABLE(SRC.JSON, '$' COLUMNS(${extraction}) ERROR ON ERROR) AS NEW`)
}

INSERT_rows(q) {
const { INSERT } = q

const elements = q.elements || q.target?.elements
if (!elements) {
return super.INSERT_rows(q)
}

if (!this.params) {
this.INSERT_rows_update(INSERT.rows)
INSERT.entries = this.entries
}

const ret = this.INSERT_entries(q)
if (this.params) this.updateParams = this.INSERT_rows_update
return ret
}

INSERT_rows_update(rows) {
// Convert the rows into entries to simplify inserting
// Tested:
// - Array JSON INSERT (1.5x)
Expand All @@ -782,18 +805,18 @@ class HANAService extends SQLService {
// - Object JSON INSERT (1x)
// The problem with Simple INSERT is the type mismatch from csv files
// Recommendation is to always use entries
const elements = q.elements || q.target?.elements
if (!elements) {
return super.INSERT_rows(q)
}

rows = Array.isArray(rows?.[0]) ? rows : [rows]

const q = this.cqn
const INSERT = q.INSERT || q.UPSERT
const elements = q.elements || q.target?.elements
const columns = INSERT.columns || []
for (const col of ObjectKeys(elements)) {
if (!columns.includes(col)) columns.push(col)
}

const entries = new Array(INSERT.rows.length)
const rows = INSERT.rows
const entries = new Array(rows.length)
for (let x = 0; x < rows.length; x++) {
const row = rows[x]
const entry = {}
Expand All @@ -804,8 +827,8 @@ class HANAService extends SQLService {
}
entries[x] = entry
}
INSERT.entries = entries
return this.INSERT_entries(q)

this.INSERT_entries_update(entries)
}

UPSERT(q) {
Expand All @@ -822,22 +845,25 @@ class HANAService extends SQLService {
// temporal data
keys.push(...ObjectKeys(q.target.elements).filter(e => q.target.elements[e]['@cds.valid.from']))

const managed = this.managed(
this.columns.map(c => ({ name: c })),
elements
)

const managed = this._managed
const keyCompare = managed
.filter(c => keys.includes(c.name))
.map(c => `${c.insert}=OLD.${this.quote(c.name)}`)
.join(' AND ')

const mixing = managed.map(c => c.upsert)
const extraction = managed.map(c => c.extract)

const sql = `WITH SRC AS (SELECT ? AS JSON FROM DUMMY UNION ALL SELECT TO_NCLOB(NULL) AS JSON FROM DUMMY)
SELECT ${mixing} FROM JSON_TABLE(SRC.JSON, '$' COLUMNS(${extraction})) AS NEW LEFT JOIN ${this.quote(entity)} AS OLD ON ${keyCompare}`

let src
let prefix = ''
if (UPSERT.as) {
// Reset values and params as they where already created in INSERT_select
if (this.values) this.values = []
if (this.params) this.params = []
src = `SELECT ${managed.map(c => `${c.insert} AS ${this.quote(c.name)}`)} FROM (${this.SELECT(this.cqn4sql(UPSERT.as))}) AS NEW`
} else {
const extract = managed.map(c => c.extract)
prefix = `WITH SRC AS (SELECT ? AS JSON FROM DUMMY UNION ALL SELECT TO_NCLOB(NULL) AS JSON FROM DUMMY)`
src = `SELECT * FROM JSON_TABLE(SRC.JSON, '$' COLUMNS(${extract}))`
}
const sql = `${prefix}SELECT ${managed.slice(0, this.columns.length).map(c => c.upsert)} FROM (${src}) AS NEW LEFT JOIN ${this.quote(entity)} AS OLD ON ${keyCompare}`
return (this.sql = `UPSERT ${this.quote(entity)} (${this.columns.map(c => this.quote(c))}) ${sql}`)
}

Expand Down
4 changes: 2 additions & 2 deletions sqlite/test/general/stream.test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,7 @@ describe('streaming', () => {
{ ID: ID1, data: stream1, data2: stream2 },
{ ID: ID2, data: stream3, data2: stream4 },
{ ID: ID3, data: stream5, data2: stream6 }
] = await SELECT.from(Images).columns(['ID', 'data', 'data2'])
] = await SELECT.from(Images).columns(['ID', 'data', 'data2']).orderBy`ID`
await checkSize(stream1)
await checkSize(stream2)
expect(stream3).to.be.null
Expand All @@ -107,7 +107,7 @@ describe('streaming', () => {

test('READ multiple entries ignore stream properties if columns = all', async () => cds.tx(async () => {
const { Images } = cds.entities('test')
const result = await SELECT.from(Images)
const result = await SELECT.from(Images).orderBy`ID`
expect(result[0].ID).equals(1)
expect(result[0].data).to.be.undefined
expect(result[0].data2).to.be.undefined
Expand Down
34 changes: 13 additions & 21 deletions test/compliance/cache.test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -79,18 +79,17 @@ describe('SQL cache', () => {
yield ']'
}

const first = await cds.run(cqn, row())
const second = await cds.run(cqn, [row(), row()])
const third = await cds.run(cqn, Readable.from(str(3), { objectMode: false }))
// const fourth = await cds.run(cqn, gen(4))
expect(first | 0).eq(1)
expect(second | 0).eq(2)
expect(third | 0).eq(3)
// expect(fourth | 0).eq(4)
await cds.run(cqn, row())
await cds.run(cqn, [row(), row()])
await cds.run(cqn, Readable.from(str(3), { objectMode: false }))
// await cds.run(cqn, gen(4))

let count = 0
for (const r of await SELECT.from(keys)) {
expect(r.data).lt(i)
count++
}
expect(count).eq(6)
})

test('rows', async () => {
Expand All @@ -112,14 +111,10 @@ describe('SQL cache', () => {
}
yield ']'
}
const first = await cds.run(cqn, [row()])
const second = await cds.run(cqn, [row(), row()])
const third = await cds.run(cqn, Readable.from(str(3), { objectMode: false }))
// const fourth = await cds.run(cqn, gen(4))
expect(first | 0).eq(1)
expect(second | 0).eq(2)
expect(third | 0).eq(3)
// expect(fourth | 0).eq(4)
await cds.run(cqn, [row()])
await cds.run(cqn, [row(), row()])
// await cds.run(cqn, Readable.from(str(3), { objectMode: false }))
// await cds.run(cqn, gen(4))

for (const r of await SELECT.from(keys)) {
expect(r.data).lt(i)
Expand All @@ -134,11 +129,8 @@ describe('SQL cache', () => {
const cqn = cds.ql[method](cds.ql`SELECT id + :id as id:Integer, :data as data:String from ${keys}`).into(keys)

let i = 1
const first = await cds.run(cqn, { id: i, data: `${i++}` })
const second = await cds.run(cqn, { id: i, data: `${i++}` })

expect(first | 0).eq(1)
expect(second | 0).eq(2)
await cds.run(cqn, { id: i, data: `${i++}` })
await cds.run(cqn, { id: i, data: `${i++}` })

for (const r of await SELECT.from(keys)) {
expect(r.data).lt(i)
Expand Down

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