Top 10 Examples of "druid-query-toolkit in functional component" in JavaScript
Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'druid-query-toolkit' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
describe('time menu', () => {
const parser = sqlParserFactory(['COUNT']);
it('matches snapshot when menu is opened for column not inside group by', () => {
const timeMenu = (
{}}
/>
);
const { container } = render(timeMenu);
expect(container).toMatchSnapshot();
});
it('matches snapshot when menu is opened for column inside group by', () => {
const timeMenu = (it('matches snapshot', () => {
const parser = sqlParserFactory(SQL_FUNCTIONS.map(sqlFunction => sqlFunction.name));
const parsedQuery = parser(`SELECT
"language",
COUNT(*) AS "Count", COUNT(DISTINCT "language") AS "dist_language", COUNT(*) FILTER (WHERE "language"= 'xxx') AS "language_filtered_count"
FROM "github"
WHERE "__time" >= CURRENT_TIMESTAMP - INTERVAL '1' DAY AND "language" != 'TypeScript'
GROUP BY 1
HAVING "Count" != 37392
ORDER BY "Count" DESC`);
const queryOutput = (describe('number menu', () => {
const parser = sqlParserFactory(['COUNT']);
it('matches snapshot when menu is opened for column not inside group by', () => {
const numberMenu = (
{}}
/>
);
const { container } = render(numberMenu);
expect(container).toMatchSnapshot();
});
it('matches snapshot when menu is opened for column inside group by', () => {
const numberMenu = (describe('string menu', () => {
const parser = sqlParserFactory(['COUNT']);
it('matches snapshot when menu is opened for column not inside group by', () => {
const stringMenu = (
{}}
/>
);
const { container } = render(stringMenu);
expect(container).toMatchSnapshot();
});
it('matches snapshot when menu is opened for column inside group by', () => {
const stringMenu = (describe('column tree', () => {
const parser = sqlParserFactory(['COUNT']);
it('matches snapshot', () => {
const columnTree = (
{
return parser(`SELECT channel, count(*) as cnt FROM wikipedia GROUP BY 1`);
}}
defaultSchema="druid"
defaultTable="wikipedia"
columnMetadataLoading={false}
columnMetadata={
[
{
TABLE_SCHEMA: 'druid',
TABLE_NAME: 'wikipedia',
COLUMN_NAME: '__time',function dateToTimestamp(date: Date): Timestamp {
return timestampFactory(
date
.toISOString()
.split('.')[0]
.split('T')
.join(' '),
);
}onClick={() => {
onQueryChange(
parsedQuery.addFunctionToGroupBy(
'TIME_FLOOR',
[' '],
[stringFactory(columnName, `"`), stringFactory('PT1H', `'`)],
aliasFactory(`${columnName}_time_floor`),
),
true,
);
}}
/>'COUNT',
aliasFactory(`${columnName}_filtered_count`),
false,
new FilterClause({
keyword: 'FILTER',
spacing: [' '],
ex: new WhereClause({
keyword: 'WHERE',
spacing: [' '],
filter: new ComparisonExpression({
parens: [],
ex: stringFactory(columnName, '"'),
rhs: new ComparisonExpressionRhs({
parens: [],
op: '=',
rhs: stringFactory('xxx', `'`),
spacing: [' ', ' '],
}),
}),
}),
}),
),
);
}}
/>onClick={() => {
onQueryChange(
parsedQuery.addFunctionToGroupBy(
'TIME_FLOOR',
[' '],
[stringFactory(columnName, `"`), stringFactory('P1D', `'`)],
aliasFactory(`${columnName}_time_floor`),
),
true,
);
}}
/>onClick={() => {
onQueryChange(
parsedQuery.addFunctionToGroupBy(
'TIME_FLOOR',
[' '],
[stringFactory(columnName, `"`), stringFactory('P7D', `'`)],
aliasFactory(`${columnName}_time_floor`),
),
true,
);
}}
/>