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@@ -0,0 +1,437 @@
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+package com.platform.dao.util.influxDB;
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+
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+import com.platform.common.util.StringUtils;
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+
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+import java.util.Iterator;
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+import java.util.List;
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+import java.util.Map;
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+import java.util.Map.Entry;
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+import java.util.Set;
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+
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+
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+ * @Description:
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+ * @author： skies
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+ * @date：
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+ */
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+public class InfluxDBFluxExpression {
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+
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+ public static final String token = "qEMI2lHel0NPscN32WgmZtuymxmYZZZv67hHeRGA2_VJ_gd5sHH_QTyZ34T_ThhcbwFaqx4Qs9Q5BQBNpfMLkg==";
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+ public static final String url = "http://localhost:8086";
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+ public static final String org = "qykh";
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+ public static final String bucket = "qykh_dcs";
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+ public static final String measurement = "tb_dcs";
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+ public static final String tag = "positionNum";
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+ public static final String field = "result";
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+
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+
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+ * 通用表达式
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+ *
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+ * @param buffer
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+ * @param bucketName 名称
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+ * @param tableName 表名
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+ * @param start 开始时间
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+ * @param stop 结束时间
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+ */
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+ public static void appendCommonFlux(StringBuffer buffer, String bucketName, String tableName,
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+ String start, String stop) {
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+ appendBucketFlux(buffer, bucketName);
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+ appendTimeRangeFlux(buffer, start, stop);
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+ appendTableFlux(buffer, tableName);
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+
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+
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+
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+
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+
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+
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+
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+ }
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+
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+
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+
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+ * 数据源(桶)表达式
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+ *
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+ * @param buffer
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+ * @param bucketName 名称
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+ */
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+ public static void appendBucketFlux(StringBuffer buffer, String bucketName) {
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+ buffer.append("from(bucket: \"" + bucketName + "\") ");
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+ }
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+
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+
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+ * 表名表达式
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+ *
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+ * @param buffer
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+ * @param tableName 名称
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+ */
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+ public static void appendTableFlux(StringBuffer buffer, String tableName) {
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+ buffer.append("|> filter(fn: (r) => r._measurement == \"" + tableName + "\") ");
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+ }
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+
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+
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+ * 表名表达式
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+ *
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+ * @param buffer
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+ * @param tagName positionNum具体名称
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+ */
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+ public static void appendTagFlux(StringBuffer buffer, String tagName) {
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+ buffer.append("|> filter(fn: (r) => r." + InfluxDBFluxExpression.tag + " == \"" + tagName + "\") ");
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+ }
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+
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+
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+ * field表达式
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+ *
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+ * @param buffer
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+ * @param field 名称
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+ */
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+ public static void appendTagField(StringBuffer buffer, String field) {
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+ buffer.append("|> filter(fn: (r) => r._field == \"" + field + "\") ");
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+ }
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+
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+
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+
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+ * 时间范围表达式 UTC时间
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+ *
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+ * @param buffer
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+ * @param start 开始时间
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+ * @param stop 结束时间
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+ */
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+ public static void appendTimeRangeFlux(StringBuffer buffer, String start, String stop) {
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+ if (StringUtils.isBlank(start)) {
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+ start = "1970-01-01T00:00:00.000Z";
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+ }
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+ if (StringUtils.isBlank(stop)) {
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+ buffer.append("|> range(start:" + start + ") ");
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+ } else {
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+ buffer.append("|> range(start:" + start + ", stop:" + stop + ") ");
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+ }
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+ }
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+
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+
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+ * 删除字段表达式
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+ *
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+ * @param buffer
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+ * @param args 需要删除的字段【 参数为空的话删除host字段】
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+ */
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+ public static void appendDropFlux(StringBuffer buffer, String... args) {
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+ if (args.length == 0) {
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+ buffer.append("|> drop(columns: [\"host\"]) ");
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+ return;
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+ }
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+ buffer.append("|> drop(columns: [");
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+ for (int i = 0; i < args.length; i++) {
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+ if (i != 0) {
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+ buffer.append(",");
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+ }
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+ buffer.append("\"" + args[i] + "\"");
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+ }
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+ buffer.append("]) ");
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+ }
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+
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+
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+ * 复制属性列表达式
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+ *
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+ * @param buffer
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+ * @param oldField 原来的字段名称
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+ * @param newField 新的字段名称
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+ */
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+ public static void appendDuplicateFlux(StringBuffer buffer, String oldField, String newField) {
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+ buffer.append("|> duplicate(column: \"" + oldField + "\", as: \"" + newField + "\") ");
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+ }
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+
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+
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+ * 重命名属性列表达式
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+ *
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+ * @param buffer
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+ * @param oldField 原来的字段名称
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+ * @param newField 新的字段名称
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+ */
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+ public static void appendRenameFlux(StringBuffer buffer, String oldField, String newField) {
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+ buffer.append(" |> rename(columns: {" + oldField + ": \"" + newField + "\"}) ");
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+ }
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+
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+
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+
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+ * 最新一条数据表达式
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+ *
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+ * @param buffer
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+ */
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+ public static void appendLastFlux(StringBuffer buffer) {
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+ buffer.append("|> last() ");
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+ }
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+
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+
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+ * 分页查询
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+ *
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+ * @param buffer
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+ * @param n
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+ * @param offset
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+ */
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+ public static void appendLimitFlux(StringBuffer buffer, int n, int offset) {
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+ buffer.append("|> limit(n:" + n + ", offset: " + offset + ") ");
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+ }
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+
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+
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+ * 分组表达式
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+ *
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+ * @param buffer
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+ */
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+ public static void appendGroupFlux(StringBuffer buffer, String... columns) {
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+ if (columns.length == 0) {
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+ buffer.append("|> group() ");
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+ } else {
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+ buffer.append("|> group(columns:[ ");
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+ for (int i = 0; i < columns.length; i++) {
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+ if (i != 0) {
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+ buffer.append(",");
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+ }
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+ buffer.append("\"" + columns[i] + "\"");
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+ }
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+ buffer.append("]) ");
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+ }
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+
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+ }
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+
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+
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+ * 去重表达式
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+ *
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+ * @param buffer
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+ */
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+ public static void appendDistinctFlux(StringBuffer buffer, String... columns) {
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+ if (columns.length == 0) {
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+ buffer.append("|> distinct() ");
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+ } else {
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+ buffer.append("|> distinct(column:\"" + columns[0] + "\") ");
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+ }
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+
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+ }
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+
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+
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+ * 总数表达式
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+ *
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+ * @param buffer
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+ */
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+ public static void appendCountFlux(StringBuffer buffer) {
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+ buffer.append("|> count() ");
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+ }
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+
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+
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+ * 前几条数据
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+ *
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+ * @param buffer
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+ * @param n
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+ */
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+ public static void appendTopFlux(StringBuffer buffer, int n) {
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+ buffer.append("|> top(n:" + n + ") ");
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+ }
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+
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+ public static void appendBottomFlux(StringBuffer buffer, int n) {
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+ buffer.append("|> bottom(n:" + n + ") ");
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+ }
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+
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+
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+ * 排序
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+ *
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+ * @param buffer
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+ * @param descFlag true 降序 ；false 升序
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+ * @param columns
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+ */
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+ public static void appendSortFlux(StringBuffer buffer, boolean descFlag, String... columns) {
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+ if (columns.length == 0) {
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+ buffer.append("|> sort(columns: [\"_value\"], desc: " + descFlag + ")");
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+ } else {
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+ buffer.append("|> sort(columns:[ ");
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+ for (int i = 0; i < columns.length; i++) {
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+ if (i != 0) {
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+ buffer.append(",");
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+ }
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+ buffer.append("\"" + columns[i] + "\"");
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+ }
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+ buffer.append("], desc: " + descFlag + ") ");
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+ }
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+ }
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+
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+
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+
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+ * 时移八小时
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+ *
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+ * @param buffer
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+ */
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+ public static void appendTimeShiftFlux(StringBuffer buffer) {
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+ buffer.append("|> timeShift(duration: 8h) ");
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+ }
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+
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+
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+ * 过滤单个字符表达式
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+ *
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+ * @param buffer
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+ * @param list
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+ * @param operator 【== != 】
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+ * @param join 【and or】
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+ * @param fieldName
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+ */
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+ public static void appendFilterFlux(StringBuffer buffer, List<String> list, String operator, String join, String fieldName) {
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+ if (list == null || list.size() == 0) {
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+ return;
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+ }
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+ for (int i = 0, size = list.size(); i < size; i++) {
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+ if (i == 0) {
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+ buffer.append("|> filter(fn: (r) =>");
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+ } else {
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+ buffer.append(join);
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+ }
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+ buffer.append(" r." + fieldName + " " + operator + " \"" + list.get(i) + "\" ");
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+ }
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+ buffer.append(") ");
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+ }
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+
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+
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+ * 过滤表达式
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+ *
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+ * @param buffer
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+ * @param map
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+ * @param operator 【== != 】
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+ * @param join 【and or】
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+ */
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+ public static void appendFilterFlux(StringBuffer buffer, Map<String, Object> map, String operator, String join) {
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+ Set<Entry<String, Object>> entrySet = map.entrySet();
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+ Iterator<Entry<String, Object>> iterator = entrySet.iterator();
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+ boolean flag = true;
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+ while (iterator.hasNext()) {
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+ Entry<String, Object> next = iterator.next();
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+ String key = next.getKey();
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+ Object value = next.getValue();
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+ if (flag) {
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+ buffer.append("|> filter(fn: (r) =>");
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+ flag = false;
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+ } else {
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+ buffer.append(join);
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+ }
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+ buffer.append(" r." + key + " " + operator + " \"" + value + "\" ");
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+ }
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+ if (!flag) {
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+ buffer.append(") ");
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+ }
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+
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+ }
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+
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+
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+ * 过滤多个字段表达式
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+ *
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+ * @param buffer
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+ * @param list
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+ * @param innerJoin 【and or】
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+ * @param operator 【== != 】
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+ * @param outerJoin 【and or】
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+ */
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+ public static void appendMulFilterFlux(StringBuffer buffer, List<Map<String, Object>> list, String innerJoin, String operator, String outerJoin) {
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+ if (list == null || list.size() == 0) {
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+ return;
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+ }
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+ buffer.append("|> filter(fn: (r) => ");
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+ boolean outerFlag = true;
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+ for (int i = 0; i < list.size(); i++) {
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+ Map<String, Object> map = list.get(i);
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+ Set<Entry<String, Object>> entrySet = map.entrySet();
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+ Iterator<Entry<String, Object>> iterator = entrySet.iterator();
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+ boolean innerFlag = true;
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+ while (iterator.hasNext()) {
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+ Entry<String, Object> next = iterator.next();
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+ String key = next.getKey();
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+ Object value = next.getValue();
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+ if (innerFlag) {
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+ if (outerFlag) {
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+ outerFlag = false;
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+ } else {
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+ buffer.append(outerJoin);
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+ }
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+ buffer.append(" ( ");
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+ innerFlag = false;
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+ } else {
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+ buffer.append(innerJoin);
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+ }
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+ buffer.append(" r." + key + " " + operator + " \"" + value + "\" ");
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+ }
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+ if (!innerFlag) {
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+ buffer.append(" ) ");
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+ }
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+ }
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+ buffer.append(" ) ");
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+
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+ }
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+
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+
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+ * 时间窗口统计
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+ *
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+ * @param buffer
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+ * @param step 步长值【10m,1h,1d...】
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+ * @param aggType 统计类型【sum,count,min,max...)
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+ */
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+ public static void appendAggregateWindowFlux(StringBuffer buffer, String step, String aggType) {
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+ buffer.append("|> aggregateWindow(every: " + step + ", fn: " + aggType + ") ");
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+ }
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+
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+ public static void appendWindowFlux(StringBuffer buffer, String step) {
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+ buffer.append("|> window(every: " + step + ") ");
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+ }
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+
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+
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+ * 不带时间窗口统计
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+ *
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+ * @param buffer
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+ * @param aggType 统计类型【sum,count,min,max...)
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+ */
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+ public static void appendAggregateFlux(StringBuffer buffer, String aggType) {
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+ buffer.append("|> " + aggType + "() ");
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+ }
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+
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+
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+
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+ * 多个查询结果需要指定每个输出结果名称
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+ *
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+ * @param buffer
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+ * @param name
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+ */
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+ public static void appendYieldFlux(StringBuffer buffer, String name) {
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+ buffer.append("|> yield(name: \"" + name + "\") ");
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+ }
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+
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+
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+ * 将时间指定为某单位
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+ *
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+ * @param buffer
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+ * @param step
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+ */
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+ public static void appendTruncateTimeColumn(StringBuffer buffer, String step) {
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+ buffer.append("|> truncateTimeColumn(unit: " + step + ") ");
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+ }
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+
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+
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+ * 导入包名
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+ *
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+ * @param buffer
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+ * @param name 包名
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+ */
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+ public static void appendImportFlux(StringBuffer buffer, String name) {
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+ buffer.append("import \"" + name + "\" ");
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+ }
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+
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+
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+ * 过滤空值
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+ *
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+ * @param buffer
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+ */
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+ public static void appendExistsFlux(StringBuffer buffer) {
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+ buffer.append("|> filter(fn: (r) => exists r._value ) ");
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+ }
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+
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+
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+
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+ * 过滤0值
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+ *
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+ * @param buffer
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+ */
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+ public static void appendZeroFlux(StringBuffer buffer) {
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+ buffer.append("|> filter(fn: (r) => r._value > 0) ");
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+ }
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+
|
|
|
+}
|
